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Schilder" <34280215+bschilder@users.noreply.github.com> Date: Tue, 14 May 2024 21:56:37 +0100 Subject: [PATCH] Update manuscript to address issues: #1 #2 #3 #4 #5 #6 #7 #8 #9 --- _freeze/manuscript/execute-results/html.json | 4 +- _freeze/manuscript/execute-results/tex.json | 4 +- .../figure-html/fig-consist-vs-ontLvl-1.png | Bin 0 -> 213239 bytes .../figure-html/fig-metric-corplot-1.png | Bin 0 -> 299886 bytes .../figure-html/fig-occurrence-1.png | Bin 275532 -> 239340 bytes .../figure-html/fig-severity-class-1.png | Bin 0 -> 279599 bytes .../manuscript/figure-pdf/fig-checks-1.pdf | Bin 8482 -> 8482 bytes .../figure-pdf/fig-consist-vs-ontLvl-1.pdf | Bin 0 -> 14672 bytes .../figure-pdf/fig-metric-corplot-1.pdf | Bin 0 -> 12557 bytes .../figure-pdf/fig-occurrence-1.pdf | Bin 8144 -> 8178 bytes .../figure-pdf/fig-severity-boxplot-1.pdf | Bin 35164 -> 35164 bytes .../figure-pdf/fig-severity-class-1.pdf | Bin 0 -> 781545 bytes .../figure-pdf/fig-severity-histo-1.pdf | Bin 23346 -> 23346 bytes .../figure-pdf/fig-top-phenos-1.pdf | Bin 10880 -> 10880 bytes _quarto.yml | 1 + docs/_tex/manuscript.tex | 297 +++-- .../figure-pdf/fig-checks-1.pdf | Bin 8482 -> 8482 bytes .../figure-pdf/fig-consist-vs-ontLvl-1.pdf | Bin 0 -> 14672 bytes .../figure-pdf/fig-metric-corplot-1.pdf | Bin 0 -> 12557 bytes .../figure-pdf/fig-occurrence-1.pdf | Bin 8144 -> 8178 bytes .../figure-pdf/fig-severity-boxplot-1.pdf | Bin 35164 -> 35164 bytes .../figure-pdf/fig-severity-class-1.pdf | Bin 0 -> 781545 bytes .../figure-pdf/fig-severity-histo-1.pdf | Bin 23346 -> 23346 bytes .../figure-pdf/fig-top-phenos-1.pdf | Bin 10880 -> 10880 bytes docs/_tex/references.bib | 32 + docs/index.html | 226 ++-- docs/manuscript-preview.html | 1029 ++++++++++------- docs/manuscript.out.ipynb | 505 ++++++-- docs/manuscript.pdf | Bin 196220 -> 1009373 bytes docs/manuscript.qmd | 173 ++- .../figure-html/fig-consist-vs-ontLvl-1.png | Bin 0 -> 213239 bytes .../figure-html/fig-metric-corplot-1.png | Bin 0 -> 299886 bytes .../figure-html/fig-occurrence-1.png | Bin 275532 -> 239340 bytes .../figure-html/fig-severity-class-1.png | Bin 0 -> 279599 bytes manuscript.qmd | 173 ++- references.bib | 32 + 36 files changed, 1782 insertions(+), 694 deletions(-) create mode 100644 _freeze/manuscript/figure-html/fig-consist-vs-ontLvl-1.png create mode 100644 _freeze/manuscript/figure-html/fig-metric-corplot-1.png create mode 100644 _freeze/manuscript/figure-html/fig-severity-class-1.png create mode 100644 _freeze/manuscript/figure-pdf/fig-consist-vs-ontLvl-1.pdf create mode 100644 _freeze/manuscript/figure-pdf/fig-metric-corplot-1.pdf create mode 100644 _freeze/manuscript/figure-pdf/fig-severity-class-1.pdf create mode 100644 docs/_tex/manuscript_files/figure-pdf/fig-consist-vs-ontLvl-1.pdf create mode 100644 docs/_tex/manuscript_files/figure-pdf/fig-metric-corplot-1.pdf create mode 100644 docs/_tex/manuscript_files/figure-pdf/fig-severity-class-1.pdf create mode 100644 docs/manuscript_files/figure-html/fig-consist-vs-ontLvl-1.png create mode 100644 docs/manuscript_files/figure-html/fig-metric-corplot-1.png create mode 100644 docs/manuscript_files/figure-html/fig-severity-class-1.png diff --git a/_freeze/manuscript/execute-results/html.json b/_freeze/manuscript/execute-results/html.json index d10092b..3178997 100644 --- a/_freeze/manuscript/execute-results/html.json +++ b/_freeze/manuscript/execute-results/html.json @@ -1,8 +1,8 @@ { - "hash": "a212d6d1fa259f796df865245cbe1da1", + "hash": "35550d0037c03127098ecee7688cceba", "result": { "engine": "knitr", - "markdown": "---\ntitle: Harnessing AI to annotate the severity of all phenotypic abnormalities within the Human Phenotype Ontology\nauthor:\n - name: Kitty B Murphy\n orcid: 0000-0002-8669-3076\n corresponding: true\n email: kitty.murphy@ukdri.ac.uk\n roles:\n - Investigation\n - Project administration\n - Software\n - Visualization\n affiliations:\n - Department of Brain Sciences, Imperial College London, UK \n - UK Dementia Research Institute at Imperial College London, UK\n - name: Brian M Schilder\n orcid: 0000-0001-5949-2191\n corresponding: false\n email: brian_schilder@alumni.brown.edu\n roles: \n - Investigation\n - Project administration\n - Software\n - Visualization\n affiliations:\n - Department of Brain Sciences, Imperial College London, UK \n - UK Dementia Research Institute at Imperial College London, UK\n - name: Nathan G Skene\n orcid: 0000-0002-6807-3180\n email: n.skene@imperial.ac.uk\n corresponding: true\n roles: \n - Investigation\n - Project administration\n - Software\n - Visualization\n affiliations:\n - Department of Brain Sciences, Imperial College London, UK \n - UK Dementia Research Institute at Imperial College London, UK\nkeywords:\n - Ontology\n - Human Phenotype Ontology\n - Large Language Model\n - GPT-4\n - Artificial intelligence\n - Generative AI\n - Rare disease \n - Automation\n - Medicine\nbibliography: references.bib\ndate: last-modified\ncitation:\n container-title: medRxiv\n---\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nlibrary(dplyr)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n\nAttaching package: 'dplyr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:stats':\n\n filter, lag\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:base':\n\n intersect, setdiff, setequal, union\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nlibrary(ggplot2)\nlibrary(ggtext)\nlibrary(patchwork)\nlibrary(HPOExplorer)\nlibrary(KGExplorer)\nlibrary(data.table)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n\nAttaching package: 'data.table'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:dplyr':\n\n between, first, last\n```\n\n\n:::\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\n#### Load HPO data\ntag <- \"v2024-02-08\"\nsave_dir <- \"data\"\nkeep_descendants <- \"Phenotypic abnormality\"\np2g <- HPOExplorer::load_phenotype_to_genes(tag = tag,\n save_dir=save_dir)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nReading cached RDS file: phenotype_to_genes.txt\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n+ Version: v2024-02-08\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nhpo <- HPOExplorer::get_hpo(method=\"github\",\n tag=tag, \n save_dir=save_dir)\nhpo <- KGExplorer::filter_ontology(ont = hpo, \n keep_descendants = keep_descendants)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,548 terms remain after filtering.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n#### Read HPO GPT annotations \ngpt_annot <- HPOExplorer::gpt_annot_read(hpo = hpo)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nReading cached RDS file: phenotype_to_genes.txt\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n+ Version: v2024-02-08\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n492 phenotypes do not have matching HPO IDs.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nReading in GPT annotations for 16,648 phenotypes.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n#### Compute IDs counts\nids_matched <- intersect(c(hpo@terms,names(hpo@alternative_terms)), \n gpt_annot$hpo_id)\nnames_matched <- intersect(hpo@elementMetadata$name,\n trimws(gsub(\"obsolete\",\"\",gpt_annot$hpo_name, ignore.case = TRUE)))\n\nn_ids_hpo <- hpo@n_terms\nn_ids_gpt <- length(unique(fcoalesce(gpt_annot$hpo_name,gpt_annot$hpo_id)))\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nquery_hits <- HPOExplorer::search_hpo(search_cols = c(\"name\"),\n hpo = hpo)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nQuerying HPO for matching terms.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nNumber of phenotype hits per query group:\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n - intellectual_disability: 19\n - impaired_mobility: 319\n - physical_malformations: 78\n - blindness: 1\n - sensory_impairments: 252\n - immunodeficiency: 29\n - cancer: 56\n - reduced_fertility: 9\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n#### Run annotation checks\nchecks <- HPOExplorer::gpt_annot_check(annot = gpt_annot, \n query_hits = query_hits)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nWarning: The `facets` argument of `facet_grid()` is deprecated as of ggplot2 2.2.0.\nℹ Please use the `rows` argument instead.\nℹ The deprecated feature was likely used in the HPOExplorer package.\n Please report the issue at\n .\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n# checks$true_pos_rate\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nres_coded <- HPOExplorer::gpt_annot_codify(annot = gpt_annot)\nannot_melt <- HPOExplorer::gpt_annot_melt(res_coded = res_coded)\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\ngpt_annot_plot_out <- HPOExplorer::gpt_annot_plot(\n annot = gpt_annot[hpo_name!=keep_descendants],\n keep_descendants = keep_descendants, \n width = 10)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding level-2 ancestor to each HPO ID.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding ancestor metadata.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAncestor metadata already present. Use force_new=TRUE to overwrite.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,958 terms remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n166,610 associations remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nGetting absolute ontology level for 18,536 IDs.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding level-2 ancestor to each HPO ID.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding ancestor metadata.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAncestor metadata already present. Use force_new=TRUE to overwrite.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,958 terms remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n166,610 associations remain after filtering.\n```\n\n\n:::\n:::\n\n\n## Abstract\n\nThe Human Phenotype Ontology (HPO) has played a crucial role in defining, diagnosing, prognosing, and treating human diseases by providing a standardised framework for describing phenotypic abnormalities. However, documentation on the severity of each phenotype is currently very sparse, making systematic analyses and prioritisation of results challenging. With \\>17500 phenotypic abnormalities across \\>8600 rare diseases, manual curation of such phenotypic annotations by experts would be exceedingly labour-intensive and time-consuming. Leveraging advances in artificial intelligence, we employed the OpenAI GPT-4 large language model (LLM) to systematically annotate the severity of all phenotypic abnormalities in the HPO. First, we benchmarked the generative LLM annotations against ground-truth labels within the HPO (e.g. phenotypes in the 'Cancer' HPO branch were annotating as causing cancer by GPT-4). True positive recall rates across different annotations ranged from 89-100% (mean=96%), clearly demonstrating the ability of GPT-4 to automate the curation process with a high degree of fidelity. Using a novel approach, we developed a severity scoring system that incorporates both the nature of the phenotype outcome and the frequency of its occurrence. These severity metrics will enable efforts to systematically prioritise which human phenotypes are most detrimental to human health, and best targets for therapeutic intervention.\n\n## Introduction\n\nComprehensive annotation of phenotypic abnormalities is invaluable for defining, diagnosing, prognosing, and treating human disease. Since 2008, the Human Phenotype Ontology (HPO) has been instrumental to this, by providing a standardised database for the description and analysis of human phenotypes [@kohlerHumanPhenotypeOntology2021; @garganoHumanPhenotypeOntology2024]. Through developing open community resources, the depth and breadth of the HPO has continued to expand and there are now \\>17500 phenotypic abnormalities across \\>8600 diseases, described. In recent years, the HPO has expanded its disease annotations so that each HPO term can have metadata including typical age of onset and frequency. In addition, there are the *Clinical modifier* and *Clinical course* subontologies, which contains terms to describe factors including severity, triggers, mortality and progression, respectively. Describing the severity-related attributes of a disease is crucial for both research and clinical care of individuals with rare diseases. This includes enhancing diagnostic capabilities, as well as prioritising and guiding gene therapy trials.\n\nTo date, the HPO has largely relied on manual curation by experts including clinicians, clinical geneticists and researchers. Although this approach ensures the quality and accuracy of the ontology, it is time-consuming and labour-intensive. As a result, less than 1% of terms within the HPO have metadata pertaining to their features such as time course and severity. Artificial intelligence (AI) capabilities have advanced considerably in recent years, presenting new opportunities to integrate natural language processing technologies into assisting in the curation process. Specifically, there have recently been considerable advances in large language model (LLM) and their application to biomedical problems, in some cases performing as well or better than human clinicians on standardised medical exams and patient diagnosis tasks [@vanveenAdaptedLargeLanguage2024; @boltonBioMedLM7BParameter2024; @zhangBiomedGPTUnifiedGeneralist2023; @labrakBioMistralCollectionOpenSource2024; @guDomainSpecificLanguageModel2021; @singhalLargeLanguageModels2023; @shinBioMegatronLargerBiomedical2020; @chengExploringPotentialGPT42023; @singhalLargeLanguageModels2023; @oneilPhenomicsAssistantInterface2024; @luoBioGPTGenerativePretrained2022; @mcduffAccurateDifferentialDiagnosis2023; @singhalExpertLevelMedicalQuestion2023]. Recent work has demonstrated that the Generative Pre-trained Transformer 4 (GPT-4) foundation model [@openaiGPT4TechnicalReport2024], when combined with strategic prompt engineering, can outperform even specialist LLMs that are explicitly fine-tuned for biomedical tasks [@noriCanGeneralistFoundation2023]. In a landmark achievement, GPT-4 was the first LLM to surpass a score of 90% in the United States Medical Licensing Examination (USML) [@noriCanGeneralistFoundation2023].\n\nHere, we have used GPT-4 to systematically annotate the severity of 17502 / 17548 (99.7%) phenotypic abnormalities within the HPO. Our severity annotation framework was adapted from previously defined criteria developed through consultation with clinicians [@Lazarin2014-rz]. The authors consulted 192 healthcare professionals for their opinions on the relative severity of various clinical characteristics: they used this to create a system for categorising the severity of diseases. Briefly, each healthcare professional was sent a survey asking them to first rate how important a disease characteristic was for determining disease severity, and then to rate the severity of a set of given disease. Using the responses, the authors were able to categorise clinical characteristics into 4 'severity tiers'. While characteristics such as shortened lifespan in infancy and intellectual disability were identified as highly severe and placed into tier 1, sensory impairment and reduced lifespan were categorised as less severe and placed into tier 4. Standardised metrics of severity allow clinicians to quickly assess the urgency of treating a given phenotype, as well as prognosing what outcomes might be expected.\n\n793 phenotypes were annotated multiple times to evaluate the consistency of responses generated by GPT-4. For a subset of phenotypes with known expected annotations, true positive rates were calculated to assess recall. Additionally, based on the clinical characteristics and their occurrence, we have quantified the severity of each phenotype, providing an example of how these clinical characteristic annotations can be used to guide prioritisation of gene therapy trials. Ultimately, we hope that our resource will be of utility to those working in rare diseases, as well as the wider healthcare community.\n\n## Results\n\n### Annotating the HPO using GPT-4\n\n\n::: {#cell-fig-occurrence .cell}\n\n```{.r .cell-code .hidden}\n# subset to clinical characteristics \noccurr_df <- gpt_annot[,c(\"hpo_name\", \"intellectual_disability\", \"death\", \"impaired_mobility\", \"blindness\",\n \"sensory_impairments\", \"immunodeficiency\", \"cancer\", \"reduced_fertility\",\n \"congenital_onset\")]\n\ncols_of_interest <- names(occurr_df)[-1]\n\n# Create an empty dataframe to store the counts\ncount_df <- data.frame(matrix(0, nrow = length(cols_of_interest), ncol = 4))\ncolnames(count_df) <- c(\"always\", \"often\", \"rarely\", \"never\")\nrownames(count_df) <- cols_of_interest\n\n## Loop through each column of interest and count the occurrences of:\n## 'always', 'often', 'rarely', 'never'\nfor (col in cols_of_interest) {\n counts <- table(occurr_df[[col]])\n count_df[col, ] <- counts[match(colnames(count_df), names(counts))]\n}\n\ncount_df_long <- tidyr::gather(count_df,\n key = \"condition\",\n value = \"count\", \n always:never)\ncount_df_long$category <- rownames(count_df)\n\ncount_df_long$category <- gsub(\"_\", \" \", count_df_long$category)\ncount_df_long$condition <- factor(count_df_long$condition, \n levels=c(\"always\", \"often\", \"rarely\", \"never\"))\n\ncount_df_long <- count_df_long |>\n dplyr::group_by(category) |>\n dplyr::mutate(percentage = count / sum(count) * 100)\n\n# set annotation order for plots \nannotation_order <- c(\"death\", \"intellectual disability\", \"impaired mobility\", \"blindness\", \n \"congenital onset\", \"physical malformations\", \"sensory impairments\", \n \"immunodeficiency\", \"cancer\", \"reduced fertility\")\ncount_df_long$category <- factor(count_df_long$category, \n levels = annotation_order)\n \n\n# Load the prompt generation function \nsource(\"code/prompt_gen.R\")\nprompts <- prompt_gen_table(hpo = hpo)\ntxt_prompt <- prompts$prompt[1688]\nfor(x in prompts$terms[[1688]]){\n txt_prompt <- sub(x,paste0(\"*\",x,\"*\"),txt_prompt)\n}\nfor(x in c(\n eval(formals(prompt_gen_table)$effects),\n eval(formals(prompt_gen_table)$responses),\n \"justification\")){\n txt_prompt <- sub(x,paste0(\"**\",x,\"**\"),txt_prompt)\n}\n## Subplot a: Example prompt\nf1a <- ggplot() + \n labs(title=\"Example GPT-4 prompt\") +\n ggtext::geom_textbox(aes(x=.5,y=1),\n box.padding = margin(20, 10, 20, 10),\n box.margin = margin(0, 0, 0, 0),\n box.r = grid::unit(30, \"pt\"),\n width = unit(.8, \"npc\"),\n halign=.5,\n fill=\"grey90\",\n label=txt_prompt) +\n theme_void() +\n theme(plot.title = element_text(hjust=0.5))\n\n## Subplot b: Stacked bar plot of clinical characteristic occurrence.\nf1b <- ggplot(count_df_long, aes(x = category, y = count, fill = condition)) +\n geom_bar(stat = \"identity\") +\n labs(title = \"Clinical characteristic occurrence\",\n x = \"\", y = \"HPO phenotypes (n)\", fill = NULL) +\n theme_minimal() +\n theme(legend.position = \"right\", \n plot.title = element_text(hjust=0.5), \n axis.text.x = element_text(angle=45, hjust=1), \n ) +\n scale_fill_brewer(palette = \"GnBu\", direction = -1)\n\n(\n f1a| \n (f1b/plot_spacer() ) + plot_layout(heights = c(1, .1))\n) + \n patchwork::plot_layout(widths = c(2,1)) +\n patchwork::plot_annotation(tag_levels = letters) \n```\n\n::: {.cell-output-display}\n![GPT-4 was able to annotate all human phenotypes based on whether they are always/often/rarely/never associated with different clinical characteristics. **a**, An example of the prompt input given to to GPT-4. The phenotypes listed in the second to last sentence (*italicised*) were changed to allow all HPO phenotypes to be annotated. **b**, Stacked bar plot showing the proportion of the occurrence of each clinical characteristic across all annotated HPO phenotypes. The terms shown on the x-axis are the clinical characteristics for which GPT-4 was asked to determine whether each phenotype caused them.](manuscript_files/figure-html/fig-occurrence-1.png){#fig-occurrence width=768}\n:::\n:::\n\n\nWe employed the OpenAI GPT-4 model with Python to annotate 17502 terms within the HPO (v2024-02-08) [@kohlerHumanPhenotypeOntology2021; @garganoHumanPhenotypeOntology2024]. Our annotation framework was developed based on previously defined criteria for classifying disease severity [@Lazarin2014-rz]. We sought to evaluate the impact of phenotypes on factors including intellectual disability, death, impaired mobility, physical malformations, blindness, sensory impairments, immunodeficiency, cancer, reduced fertility, and congenital onset. Through prompt design we found that the performance of GPT-4 improved when we incorporated a scale associated with each effect and required a justification for each response. For each effect, we asked about the likelihood of its occurrence - whether it never, rarely, often, or always occurred.\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nnever_thresh <- 50\nnever_dt <- subset(count_df_long, condition==\"never\" & percentage>=never_thresh)\nalways_death <- gpt_annot[,list(always_death=all(death==\"always\"),\n hpo_name=hpo_name[1]),\n by=\"hpo_id\"][always_death==TRUE,]\n```\n:::\n\n\nPhenotype outcome occurrence varied across annotation categories. \\>50% of phenotypes never caused blindness, sensory impairments, immunodeficiency, cancer, reduced fertility or intellectual disability. Only a minority of phenotypes (21.7%) never had a congenital onset, which is expected as rare disorders tend to be early onset genetic conditions [Fig. @fig-occurrence].\n\nLess than 1% of phenotype always directly resulted in death, such as 'Stillbirth', 'Anencephaly' and 'Bilateral lung agenesis'. Only 71 phenotypes were annotated as always causing death, while 9707 phenotypes were annotated as often or rarely causing death. 7880 phenotypes were annotated as never causing death. This included 34 unique forms of syndactyly, a non-lethal condition that causes fused or webbed fingers (occurring 1 in 1,200–15,000 live births). While not life-threatening itself, syndactyly is a symptom of genetic disorders that can cause life-threatening cardiovascular and neurodevelopmental defects, such as Apert Syndrome [@garagnaniSyndromesAssociatedSyndactyly2013]. This example highlights the ability of GPT-4 to successfully distinguish between phenotypes that directly cause lethality, and those that are often associated with diseases that cause lethality.\n\n### Annotation consistency and recall\n\nTo assess annotation consistency, 793 phenotypes underwent duplicate annotations. We employed two different metrics to determine the *consistency rate*. The first, less stringent metric, defined consistency as the duplicate annotations being either 'always' and 'often', or 'never' and 'rarely'. The second, more stringent metric, required exact agreement in annotation occurrences, e.g. 'always' and 'always'. For the less stringent metric, duplicated phenotypes were annotated consistently at a rate of at least 80%, and for the more stringent metric, the lowest consistency rate was 57% for congenital onset. An example of where annotations were inconsistent was for the HPO term 'Acute leukaemia'. One time, GPT-4 annotated it as often causing impaired mobility, giving the justification that 'weakness and fatigue from leukaemia and its treatment can impair mobility'. The other time, GPT-4 annotated it as rarely causing impaired mobility, giving the justification that 'acute leukaemia rarely impairs mobility directly'. Despite specifying in the prompt for GPT-4 not to take into consideration indirect effects, here is an example of where it failed to do so.\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\n# Define items to be checked\nitems <- c(\"consistency_count\", \"consistency_rate\",\n \"consistency_stringent_count\", \"consistency_stringent_rate\",\n \"true_pos_count\", \"true_pos_rate\")\nmetric_types <- c(\"Rate\", \"Count\")[1]\n\n# Get data frame with checks values\ncheck_df <- lapply(checks[items], data.table::as.data.table, keep.rownames = TRUE) |>\n data.table::rbindlist(idcol = \"metric\") |>\n data.table::setnames(c(\"metric\", \"annotation\", \"value\"))\n\ncheck_df$metric <- factor(check_df$metric,\n levels = items,\n ordered = TRUE)\n\ncheck_df$annotation <- factor(check_df$annotation,\n levels = unique(check_df$annotation),\n ordered = TRUE)\n\ncheck_df[, metric_type := ifelse(grepl(\"count\", metric),\n \"Count\", ifelse(grepl(\"rate\", metric), \"Rate\", NA))]\n\ncheck_df[, metric_category := gsub(\"_count|_rate\", \"\", metric)]\n\ncheck_df$metric_type <- factor(check_df$metric_type, ordered = TRUE)\n\ncheck_df <- check_df[annotation != \"pheno_count\"]\n\ncheck_df[, n := value[metric_type == \"Count\"],\n by = c(\"metric_category\", \"annotation\")]\n\ncheck_df$annotation <- gsub(\"_\", \" \", check_df$annotation)\nannotation_order <- unique(check_df$annotation)\ncheck_df$annotation <- factor(check_df$annotation, levels = annotation_order)\ncheck_df$metric_category <- gsub(\"_\", \" \", check_df$metric_category)\ncheck_df[metric_category==\"consistency\",metric_category:=\"consistency lenient\"]\n```\n:::\n\n::: {#cell-fig-checks .cell}\n\n```{.r .cell-code .hidden}\nlab_size <- 3\nconsistency_plot <- ggplot(check_df[metric_type %in% metric_types &\n grepl(\"consistency\",metric_category)],\n aes(x = annotation, y = value,\n fill = stringr::str_to_sentence(\n gsub(\"consistency \", \"\", metric_category)\n ),\n label = round(value, 2))) +\n geom_bar(stat = \"identity\",position = \"dodge\") +\n labs(title=\"Annotation consistency\",\n x = NULL, y = \"Mean consistency\", \n fill=NULL) +\n scale_fill_manual(values = c(\"#C3DAEAFF\", \"#ECE28BFF\")) +\n theme_bw() +\n theme(axis.text.x = element_text(angle = 45, hjust = 1),\n legend.position = \"top\", \n strip.background = element_rect(fill=\"white\"),\n plot.title = element_text(hjust = 0.5)) +\n geom_text(aes(x = 1, y = 1, label = paste0(\"n=\",n,\" phenotypes\")),\n size=lab_size,\n check_overlap=TRUE, hjust=0) +\n ## Compute the empirical probability of annotations being consistent by chance \n ## with 2 options and N duplicates\n geom_hline(yintercept = mean(1/2^checks$annot$pheno_count), \n color=\"dodgerblue\", linetype=\"dashed\")+\n ## Compute the empirical probability of annotations being consistent by chance \n ## with 4 options and N duplicates\n geom_hline(yintercept = mean(1/4^checks$annot$pheno_count), \n color=\"gold3\", linetype=\"dashed\")\n\nrecall_plot <- ggplot(check_df[metric_type %in% metric_types &\n metric_category %in% c(\"true pos\"), ],\n aes(x = annotation, y = value,\n fill = metric_category,\n label = n#paste0(\"n\\n=\\n\",n)\n )\n ) +\n geom_bar(stat = \"identity\", show.legend = TRUE) +\n theme_bw() +\n labs(x = NULL, y = \"Recall\") +\n ggtitle(\"True positive rate\") +\n scale_fill_manual(values = c(\"#B1D5BBFF\")) +\n theme(axis.text.x = element_text(angle = 45, hjust = 1),\n legend.position = \"none\", \n plot.title = element_text(hjust = 0.5)) +\n geom_label(fill = alpha(\"white\",1),\n size = lab_size)\n\nconsistency_plot + recall_plot + \n plot_layout(widths = c(1, 1)) +\n plot_annotation(tag_levels = 'a')\n```\n\n::: {.cell-output-display}\n![GPT-4 annotations are consistent and accurate across annotations. **a**, Barplot showing the annotation consistency within phenotypes that were annotated more than once. In the lenient metric, annotations were collapsed into two groups ('always'/'often' and 'never'/'rarely'). For a given clinical characteristic within a given phenotype, if an annotation was always within the same group it was considered consistent. In the stringent metric, all four annotation categories were considered to be different from one another. Thus, annotations were only defined as consistent if they were all identical. The blue dashed line indicates the probability of two annotations being consistent by chance in the lenient metric (~1/2). The gold dashed line is the probability of two annotations being consistent by chance in the stringent metric (~1/4). **b**, Bar plot of the true positive rate for each annotation. The labels above each bar indicate the number of phenotypes tested.](manuscript_files/figure-html/fig-checks-1.png){#fig-checks width=576}\n:::\n:::\n\n\nIn order to evaluate the validity of the annotations, we calculated a true positive rate. This involved identifying specific branches within the HPO that would contain phenotypes that would reliably indicate the presence of certain conditions. For instance, the phenotypes 'Decreased fertility in females' and 'Decreased fertility in males' should often or always cause reduced fertility. We observed an encouraging true positive rate exceeding 88% across in every clinical characteristic and achieving perfect recall (100%) in 4/8 characteristics.\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nlowest_recall <- names(checks$true_pos_rate)[checks$true_pos_rate==min(checks$true_pos_rate)]\nlowest_recall_dt <- checks$annot[get(lowest_recall)==\"never\" & hpo_id %in% query_hits[[lowest_recall]]]\n```\n:::\n\n\nThe lowest true positive rate was observed for physical malformations, with 88.5% recall across 87 HPO phenotypes. Some cases in which the GPT-4 annotations disagreed with the HPO ground truth included: 'Angioma serpentinum', 'Nevus anemicus', 'Pulmonary arteriovenous fistulas'. In the case of 'Angioma serpentinum' it provided the justification that 'No known association with physical malformations'. In another instance, GPT-4 noted that 'Nevus anemicus' is 'Limited to hypopigmented skin patch; no other malformations.'. This indicates that while technically incorrect according to our predefined benchmarks, a case could in fact be made that mild skin conditions do not rise to the level of physical malformations.\n\nThis high level of recall underscores the robustness of our annotations and the reliability of the HPO framework in capturing clinically relevant phenotypic information. However, we acknowledge that the number of testable true positive phenotypes for some of these categories are low, especially 'blindness' for which there is only 1 phenotype in the HPO (after excluding terms pertaining to colour or night blindness). Furthermore, some of the true positive phenotypes are lexically similar to the name of the clinical characteristic itself. In these cases, annotating 'Severe intellectual disability' as always causing intellectual disability is a relatively trivial task. Nevertheless, even these scenarios provide a clear and interpretable benchmark for the model's performance. In addition, were numerous phenotypes with lexically non-obvious relationships to the clinical characteristic that were annotated correctly by GPT-4. For example, 'Molar tooth sign on MRI' was correctly annotated as causing intellectual disability.\n\n### Quantifying phenotypic severity\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nanenceph_dt <- res_coded$annot_weighted[hpo_name=='Anencephaly',]\n```\n:::\n\n\nQuantifying the severity of phenotypes can have important implications for diagnosis, prognosis, and treatment, for instance, guiding prioritisation of gene therapy trials for the most severe phenotypes. First, we created a dictionary to map each phenotype outcome (e.g. blindness) and its response (always, often, rarely, never) to numeric values from 0-3. Then, the phenotype outcome values were multiplied by their associated response values. Importantly, the values reflected the severity of each outcome based on both the outcome itself and the frequency of the response. For instance, a phenotype always causing death would have a higher multiplied value than a phenotype rarely causing reduced fertility (see @tbl-metric-weights). Next, we computed an average score for each phenotype by aggregating the multiplied values across all phenotype outcomes and then calculating the mean. This was then normalised by the theoretical maximum severity score, so that all phenotypes were on a 0-100 severity scale (where 100 is the most severe phenotype possible). This average normalised score represents the overall severity of the phenotype based on the severity of its individual outcomes.\n\nBased on these scores we evaluated the top 50 severe phenotypes. One of the most severe phenotype was 'Anencephaly' (HP:0002323) with a composite severity score of 52. Anencephaly is a birth defect where the baby is born without a portion of its brain and skull, often these babies are stillborn. In fact, many of the most severe phenotypes were related to developmental brain and neural tube defects. Comparison of the severity scores for each response, across the phenotype outcomes annotated, revealed consistent trends: as the response of the phenotype outcome increased (from never to always), the severity score also increased ([Supplementary Fig. @fig-severity-boxplot]). We also evaluated the severity score distribution by HPO branch and calculated the mean severity score using all phenotypes within each major HPO branch ([Fig. @fig-severity-histo]). The HPO branch with the greatest mean severity score was 'Abnormal cellular phenotype' (mean=19.6), followed by 'Neoplasm' (mean=17.2), which would include the highly ranked phenotypes seen in @fig-top-phenos.\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\n## code adapted from HPOExplorer::gpt_annot_plot()\n# get all descendants of the term phenotypic abnormality \nkeep_ont_levels=seq(3,17)\n \n#### Filter out ont levels ####\nannot_melt <- HPOExplorer::add_ancestor(annot_melt,\n keep_descendants = keep_descendants)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding level-2 ancestor to each HPO ID.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding ancestor metadata.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAncestor metadata already present. Use force_new=TRUE to overwrite.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,958 terms remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n166,620 associations remain after filtering.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\ndata.table::setorderv(annot_melt,\"severity_score_gpt\",-1)\n\nannot_melt <- HPOExplorer::add_ont_lvl(annot_melt, keep_ont_levels = keep_ont_levels)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nGetting absolute ontology level for 18,536 IDs.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nannot_melt$variable <- gsub(\"_\", \" \", annot_melt$variable)\n\n# get all unique phenotypes\ntotal_unique <- length(unique(annot_melt$hpo_id))\n\n# get the top N phenotypes\ntop_n <- 15\ndat_top <- annot_melt[hpo_id %in% unique(annot_melt$hpo_id)[seq(top_n)]]\n\n# Get the bottom N phenotypes\nbottom_n <- 15\ndat_bottom <- annot_melt[hpo_id %in% unique(annot_melt$hpo_id)[seq(total_unique - bottom_n + 1, total_unique)]]\n\n# Define the range for selecting phenotypes from the middle\nstart_index <- ceiling(total_unique / 2) \nend_index <- start_index + 12\n\n# Get phenotypes from the middle\ndat_middle <- annot_melt[hpo_id %in% unique(annot_melt$hpo_id)[seq(start_index, end_index)]]\n\n# define labels\ndat_top$position <- \"Top\"\ndat_middle$position <- \"Middle\"\ndat_bottom$position <- \"Bottom\"\n\ndat_all <- rbind(dat_top, dat_middle, dat_bottom)\ndat_all$position <- factor(dat_all$position, levels=unique(dat_all$position))\ndat_all$variable <- factor(dat_all$variable, levels = annotation_order)\n```\n:::\n\n::: {#cell-fig-top-phenos .cell}\n\n```{.r .cell-code .hidden}\np1 <- ggplot2::ggplot(data = dat_all,\n ggplot2::aes(x=variable, y=hpo_name, fill=value)) +\n ggplot2::geom_tile(colour = \"white\", lwd = 0.5, linetype =1) +\n ggplot2::scale_y_discrete(limits=rev) +\n scale_fill_brewer(palette = \"GnBu\", direction = -1) +\n ggplot2::theme_classic() +\n ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 45, hjust = 1),\n legend.position = 'right') +\n labs(x = \"Clinical characteristic\",\n y = \"HPO phenotype\",\n fill = \"Occurrence\") +\n ggplot2::facet_grid(position ~ ., scales = \"free_y\")\n\np2 <- ggplot2::ggplot(data = dat_all,\n ggplot2::aes(x=\"severity_score_gpt\", y=hpo_name,\n fill=severity_score_gpt)) +\n ggplot2::geom_tile() +\n ggplot2::scale_y_discrete(limits=rev) +\n scale_fill_gradientn(colours = colorspace::heat_hcl(7), trans = \"reverse\") +\n ggplot2::labs(x=NULL, y=NULL, fill = \"Severity\\nscore\") +\n ggplot2::theme_void() +\n guides(fill = guide_colorbar(reverse = TRUE)) +\n ggplot2::theme(axis.text.y = ggplot2::element_blank(),\n axis.ticks.y = ggplot2::element_blank(),\n legend.position = 'right')\n\np3 <- patchwork::wrap_plots(p1, p2, ncol = 2,\n widths = c(1,.2),\n guides = \"collect\")\n\nmethods::show(p3)\n```\n\n::: {.cell-output-display}\n![Quantifying the severity of HPO phenotype annotations highlights the most impactful conditions. Heatmap of the top (n = 15), mid-range (n = 15), and bottom (n = 15) HPO phenotypes based on severity score. Severity scores were calculated by multiplying the numeric values assigned to each clinical characteristic according to @tbl-metric-weights. The average normalised score, representing overall phenotype severity on a 0-100 scale, was calculated by aggregating the multiplied values and normalising by the theoretical maximum severity score. The x-axis is scaled by the severity of the clinical characterisation.](manuscript_files/figure-html/fig-top-phenos-1.png){#fig-top-phenos width=768}\n:::\n:::\n\n\n## Discussion\n\nThe creation and annotation of biomedical knowledge has traditionally relied on manual or semi-manual curation by human experts [@putmanMonarchInitiative20242024; @ochoaOpenTargetsPlatform2021; @mungallMonarchInitiativeIntegrative2017a; @kohlerHumanPhenotypeOntology2021; @garganoHumanPhenotypeOntology2024]. Performing such manual curation and review tasks at scale is often infeasible for human biomedical experts given limited time and resources. LLMs have the capacity to effectively encode, retrieve, and synthesise vast amounts of diverse information in a highly scalable manner [@vanveenAdaptedLargeLanguage2024; @singhalLargeLanguageModels2023; @openaiGPT4TechnicalReport2024]. This makes them powerful tools that can be applied in a rapidly expanding variety of scenarios, including medical practice, research and data curation [@singhalLargeLanguageModels2023; @toroDynamicRetrievalAugmented2023; @panLargeLanguageModels2023; @oneilPhenomicsAssistantInterface2024; @caufieldStructuredPromptInterrogation2023].\n\nHere, we introduce a novel framework to leverage the current best-in-class LLM, GPT-4 [@openaiGPT4TechnicalReport2024], to systematically annotate the severity of 17502 phenotypic abnormalities within the HPO. By employing advanced AI capabilities, we have demonstrated the feasibility of automating this process, significantly enhancing efficiency without substantially compromising accuracy. Our validation approach yielded a high true positive rate exceeding 88% across the phenotypes tested. Furthermore, our approach can be readily adapted and scaled to accommodate the growing volume of phenotypic data.\n\nThroughout this study, we observed that GPT-4 was capable of reliably recovering deep semantic relationships from the medical domain, far beyond making superficial inferences based on lexical similarities. An excellent example of this is the phenotype 'Molar tooth sign on MRI' (HP:0002419; severity score=30), which GPT-4 annotated as causing intellectual disability. At first glance, we ourselves assumed this was a false positive as the term appeared to be related to dentition. However, upon further inspection we realised that molar tooth sign is in fact a pattern of abnormal brain morphology that happens to bear some resemblance to molar dentition when observed in radiological scans. This phenotype is a known sign of neurodevelopmental defects that can indeed cause severe intellectual disability [@gleesonMolarToothSign2004].\n\nIn addition to rapidly synthesising and summarising vast amounts of information, LLMs can also be steered to provide justifications for each particular response. This makes LLMs amenable to direct interrogation as a means of recovering explainability, especially when designed to retain information about previous requests and interactions as they use these to iteratively improve and update their predictions [@janikAspectsHumanMemory2024]. This represents a categorical advance over traditional natural language processing models based on more shallow forms of statistical or machine learning (e.g. Term Frequency-Inverse Document Frequency [@jonesStatisticalInterpretationTerm1972], Word2vec [@mikolovEfficientEstimationWord2013]) which lack the ability to provide chains of causal reasoning to justify their predictions. This highlights the fundamental trade-off between simpler models with high explainability (the ability humans to understand the inner workings of the model) but low interpretability (the ability of humans to trace the decision process of the model, analogous to human 'reasoning'), and deeper more complex models with low explainability but high interpretability [@marcinkevicsInterpretabilityExplainabilityMachine2023].\n\nA key contribution of our study is the introduction of a quantitative severity scoring system that integrates both the nature of the phenotype outcome and the frequency of its occurrence. By encoding the concept of severity in this way, we are able to prioritise phenotypes based on their impact on patients. The methodology allowed us to transition from low-throughput qualitative assessments of severity (e.g. @Lazarin2014-rz) to high-throughput quantitative assessments of severity. One of the most severe phenotypes in the HPO is 'Fetal akinesia sequence' (FAS; HP:0001989, severity score= 50.7), and extremely rare condition that is almost always lethal. FAS is a complex, multi-system phenotype that can be caused by at least 24 different genetic disorders. Despite the complex and heterogenous aetiology of this phenotype, GPT-4 was able to provide accurate annotations alongside explainable justifications for those annotations (see @tbl-fas). For example, this phenotype almost always results in death, either *in utero* or shortly after birth. Not only did GPT-4 correctly provide the annotation death as 'always', when asked whether FAS causes sensory impairments it provided the response 'always' with the justification 'Fetal akinesia sequence typically results in severe sensory impairment due to neurodevelopmental disruption.' Neurodevelopmental disruption is indeed a hallmark component of FAS (e.g. hydrocephalus, cerebellar hypoplasia) that causes severe impairments across multiple sensory systems [@chenPrenatalDiagnosisGenetic2012]. This demonstrates that GPT-4 was able to recover the correct chain of causality from phenotype to clinical outcome.\n\nOur findings highlight the potential of this next generation of natural language processing technologies in significantly contributing to the automation and refinement of data curation in biomedical research. These results have a large number of useful real-world applications, such as prioritising gene therapy candidates [@murphyIdentificationCellTypespecific2023] and guiding clinical decision-making in rare diseases. As the HPO continues to grow over time, this approach can easily be repeated to keep pace with the rapidly evolving biomedical landscape. Furthermore, this approach can be extended to produce different sets of annotations or be used with any other ontology. Additional use cases include gathering data on the prevalence of each phenotype to approximate their social and financial costs.\n\nOne key limitation of our study is the fact that we did not explicitly interrogate GPT-4 to assess how the availability of treatments affected the annotations it produced. For example, there are some very severe conditions for which highly effective treatments and early detection screens are widely available (e.g. syphilis, some forms of melanoma), thus rendering them fully treatable or even curable provided access to modern healthcare. It would therefore be useful to further interrogate GPT-4 to uncover how the availability of treatments influences its responses. Many of our findings here seem to indicate that GPT-4 does take into account quality of care to the extent that health services increase the likelihood of desired outcomes. For example, many of the cancer phenotypes are justified as always or often causing death unless detected and treated early in the disease course. On the other hand, some cancers are justified as rarely causing death if appropriate treatment is provided, which may not always be the case for individuals or populations with access to less access to quality healthcare services. Future efforts could more explicitly ask GPT-4 whether the phenotype would cause death with no or suboptimal treatment.\n\nIn addition to these technical challenges, there are multiple factors that need to be considered when trying to prioritise phenotypes for their suitability for gene therapy development. First, while we have attempted to formalise severity here, this is an inherently subjective concept that may vary considerably across different individuals and contexts. For instance, one could ask whether a condition that always causes death is worse than a condition that causes a lifetime of severe disability (e.g. paralysis, blindness, intellectual disability). Metrics such as quality-adjusted life years (QALYs) have been proposed in the past to address these dilemmas by defining health as a function of both the length and quality of life [@prietoProblemsSolutionsCalculating2003]. With regards to the financial burden of diseases, in some situations phenotypes which require many years of expensive medical care may be prioritised over those that result in extremely early onset lethality and little opportunity for therapeutic intervention. Another factor that affects the viability of a therapeutic program is the speed, cost and other practical considerations of a clinical trial. For instance, measuring risk of ageing-related respiratory failure over a ten-year period may be impractical in some cases. However, testing for total reversal of an existing severe phenotype could potentially yield faster and more immediately impactful results. If performed in close collaboration with medical ethicists, governmental organisations, advocacy groups and patient families, such cost/benefit assessments could be aided by LLMs through the scalable gathering of relevant data. As AI capabilities continue to advance, the range of applications in which they can be used effectively will continue to grow.\n\nWhile our study demonstrates the feasibility and utility of AI-driven phenotypic annotation, several limitations must be acknowledged. The reliance on computational algorithms may introduce biases or inaccuracies inherent to the training data, necessitating ongoing validation and refinement of our approach. Additionally, our severity scoring system, while comprehensive, may not capture the full spectrum of phenotypic variability or account for complex gene-environment interactions. Future research should focus on further optimising AI-driven annotation methodologies, incorporating additional data modalities such as genomic and clinical data to enhance accuracy.\n\nIn conclusion, our study represents a significant step towards harnessing the power of AI to advance phenotypic annotation and severity assessment across all rare diseases. This resource aims to provide researchers and clinicians with actionable insights that can inform rare disease research and improve the lives of individuals affected by rare diseases.\n\n## Methods\n\n### Annotating the HPO using OpenAI GPT-4\n\nWe wrote a Python script to iteratively query GPT-4 via the OpenAI application programming interface (API). The ultimately yielded consistently formatted annotations for 17502 terms within the HPO. Our annotation framework was developed based on previously defined criteria for classifying disease severity [@Lazarin2014-rz]. We sought to evaluate whether each phenotype directly caused a given severity-related clinical characteristic, including: intellectual disability, death, impaired mobility, physical malformations, blindness, sensory impairments, immunodeficiency, cancer, reduced fertility, and/or had a congenital onset. Through prompt engineering we found that the performance of GPT-4 improved when we incorporated a scale associated with each effect and required a justification for each response. We asked how frequently the given phenotype directly causes each clinical characteristic - whether it never, rarely, often, or always occurred. Furthermore, our prompt design revealed that the optimal trade-off between the number of phenotypes and performance (in terms of producing the desired annotations, and adhering to the formatting requirements) was achieved when inputting no more than two or three phenotypes per prompt. An example prompt can be seen in @fig-occurrence. Only 2 phenotypes were included per prompt in order to 1) avoid exceeding per-query token limits, and 2) prevent the breakdown of GPT-4 performance due to long-form text input, which is presently a known limitation common to many LLMs including GPT-4 [@weiLongformFactualityLarge2024].\n\n### Calculating the true positive rate\n\n\n::: {#tbl-true-positives .cell tbl-cap='For each clinical characteristic, any terms that matched'}\n\n```{.r .cell-code .hidden}\nqueries <- eval(formals(HPOExplorer::search_hpo)$queries)\nquery_hits_dt <- data.table(\n \"Clinical characteristic\"=stringr::str_to_sentence(gsub(\"_\",\" \",names(queries))),\n \"HPO queries\"=trimws(gsub(\"^\",\"\",sapply(queries, paste, collapse=\";
\"), fixed = TRUE)),\n \"True positive HPO IDs\"=sapply(query_hits[names(queries)], data.table::uniqueN)\n)\nknitr::kable(as.data.frame(query_hits_dt))\n```\n\n::: {.cell-output-display}\n\n\n|Clinical characteristic |HPO queries | True positive HPO IDs|\n|:-----------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------:|\n|Intellectual disability |Intellectual disability;
Mental deterioration | 19|\n|Impaired mobility |Gait disturbance;
Diminished movement;
mobility | 319|\n|Physical malformations |malformation | 78|\n|Blindness |blindness | 1|\n|Sensory impairments |Abnormality of vision;
Abnormality of the sense of smell;
Abnormality of taste sensation;
Somatic sensory dysfunction;
Hearing abnormality | 252|\n|Immunodeficiency |Immunodeficiency;
Impaired antigen-specific response | 29|\n|Cancer |Cancer;
malignant;
carcinoma | 56|\n|Reduced fertility |Decreased fertility;
Hypogonadism | 9|\n\n\n:::\n:::\n\n\nA true positive rate was calculated as a measure of the recall of the GPT-4 annotations. This was achieved by identifying specific branches within the HPO that would contain phenotypes that would reliably indicate the occurrence of certain clinical characteristics, and using all descendants of this HPO branch as true positives. For example, all descendants of the terms 'Intellectual disability' (HP:0001249) or 'Mental deterioration' (HP:0001268) should be annotated as always or often causing intellectual disability (@tbl-true-positives).\n\n### Quantifying phenotypic severity\n\nThe GPT-4 generated annotation occurrences were converted into a semi-quantitative scoring system, with 'always' corresponding to 3, 'often' to 2, 'rarely' to 1, and 'never' to 0. These scores were then weighted by a severity metric on a scale of 1-5, with 5 representing the highest severity, as determined by the provided annotations (@tbl-metric-weights). Subsequently, the weighted scores underwent normalisation to yield a final quantitative severity score ranging from 0-100, with 100 signifying the maximum severity score attainable.\n\nLet us denote:\n\n- $p$ : a phenotype in the HPO.\n\n- $j$ : the identity of a given annotation metric (i.e. clinical characteristic, such as 'intellectual disability' or 'congenital onset').\n\n- $W_j$: the assigned weight of metric $j$.\n\n- $F_j$: the maximum possible value for metric $j$ (equivalent across all $j$).\n\n- $F_{pj}$ : the numerically encoded value of annotation metric $j$ for phenotype $p$.\n\n- $NSS_p$: The final composite severity score for phenotype $p$ after applying normalisation to align values to a 0-100 scale and ensure equivalent meaning regardless of which other phenotypes are being analysed in addition to $p$. This allows for direct comparability of severity scores across studies with different sets of phenotypes.\n\n::: {#eq-gpt .content-hidden unless-format=\"html\"}\n![](figures/eq5.png){height=\"300px\"}\n\nComputing normalised severity score from encoded GPT-4 annotations.\n:::\n\n\\\n\\\n\n::: {.content-visible unless-format=\"html\"}\n\n```{=tex}\n\\begin{equation*}\n \\eqnmarkbox[Brown4]{nss}{NSS_p}\n =\n \\frac{ \n \\eqnmarkbox[Goldenrod]{nss2}{\\sum_{j=1}^{m}} \n (\n \\eqnmarkbox[Goldenrod4]{nss3}{F_{pj}}\n \\times \n \\eqnmarkbox[IndianRed4]{nss4}{W_j}\n )\n }{\n \\eqnmarkbox[Tan]{nss5}{\\sum_{j=1}^{m}(\\max\\{F_j\\} \\times W_j)} \n } \\times 100\n\\end{equation*}\n\\annotate[yshift=1em]{left}{nss}{Normalised Severity Score \\\\for each phenotype}\n\\annotate[yshift=3em]{left}{nss2}{Sum of weighted annotation values \\\\across all metrics}\n\\annotate[yshift=3em]{right}{nss3}{Numerically encoded annotation value \\\\of metric $j$ for phenotype $p$}\n\\annotate[yshift=1em]{right}{nss4}{Weight for metric $j$} \n\\annotate[yshift=-1em]{below,right}{nss5}{Theoretical maximum severity score}\n```\n\n:::\n\n\\\n\n\n::: {#tbl-metric-weights .cell tbl-cap='Weighted scores for each clinical characteristic and GPT-4 response category.'}\n\n```{.r .cell-code .hidden}\n## Get weights from HPOExplorer::gpt_annot_codify function defaults\nargs <- formals(HPOExplorer::gpt_annot_codify)\ncode_dict <- eval(args$code_dict)|>sort(decreasing = TRUE)\nnames(code_dict) <- paste0(stringr::str_to_sentence(names(code_dict)),\n \" (\",code_dict,\")\")\ntiers_dict <- eval(args$tiers_dict)|>unlist()|>sort(decreasing = TRUE)\nnames(tiers_dict) <- paste0(stringr::str_to_sentence(gsub(\"_\",\" \",names(tiers_dict))),\n \" (\",tiers_dict,\")\")\n## Create the outer product of the two weight vectors\ntbl_metric_weights <- as.data.table(outer(tiers_dict,code_dict, \"*\"),\n keep.rownames = \"Clinical characteristic\")\n\nknitr::kable(as.data.frame(tbl_metric_weights))\n```\n\n::: {.cell-output-display}\n\n\n|Clinical characteristic | Always (3)| Often (2)| Rarely (1)| Never (0)|\n|:---------------------------|----------:|---------:|----------:|---------:|\n|Intellectual disability (5) | 15| 10| 5| 0|\n|Death (5) | 15| 10| 5| 0|\n|Impaired mobility (4) | 12| 8| 4| 0|\n|Blindness (4) | 12| 8| 4| 0|\n|Physical malformations (3) | 9| 6| 3| 0|\n|Sensory impairments (3) | 9| 6| 3| 0|\n|Immunodeficiency (3) | 9| 6| 3| 0|\n|Cancer (3) | 9| 6| 3| 0|\n|Reduced fertility (1) | 3| 2| 1| 0|\n|Congenital onset (1) | 3| 2| 1| 0|\n\n\n:::\n:::\n\n\n## Data and code availability statement\n\nAll code and data used in this study are available on GitHub at:\n\n\n\nThe GPT-4 annotations for all HPO phenotypes are made available through the R function `HPOExplorer::gpt_annot_read` or in CSV format at:\n\n\n\nA fully reproducible version of this Quarto manuscript can be found at:\n\n\n\n## Acknowledgements\n\nWe would like to thank members of the Monarch Initiative for their insight and feedback throughout this project. In particular, Peter Robinson.\n\n### Funding\n\nThis work was supported by a UK Dementia Research Institute (UK DRI) Future Leaders Fellowship \\[MR/T04327X/1\\] and the UK DRI which receives its funding from UK DRI Ltd, funded by the UK Medical Research Council, Alzheimer’s Society and Alzheimer's Research UK.\n\n## References {.unnumbered}\n\n::: {#refs}\n:::\n\n\n{{< pagebreak >}}\n\n\n\n## Supplementary Materials\n\n### Supplementary Figures\n\n\n::: {#cell-fig-severity-histo .cell}\n\n```{.r .cell-code .hidden}\ngpt_annot_plot_out$gp3 +\n labs(x=\"Severity score\") \n```\n\n::: {.cell-output-display}\n![Distribution of the composite GPT-4 severity score of the severity scores for all HPO terms.](manuscript_files/figure-html/fig-severity-histo-1.png){#fig-severity-histo width=960}\n:::\n:::\n\n::: {#cell-fig-severity-boxplot .cell}\n\n```{.r .cell-code .hidden}\ngpt_annot_plot_out$gp2 +\n scale_fill_brewer(palette = \"GnBu\", direction = -1) +\n labs(y=\"Severity score\") \n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nScale for fill is already present.\nAdding another scale for fill, which will replace the existing scale.\n```\n\n\n:::\n\n::: {.cell-output-display}\n![Boxplot showing the relationship between composite severity score (y-axis) and the frequency response categories within each annotation type.](manuscript_files/figure-html/fig-severity-boxplot-1.png){#fig-severity-boxplot width=768}\n:::\n:::\n\n{{< pagebreak >}}\n\n\n\n### Supplementary Tables\n\n\n::: {#tbl-fas .cell tbl-cap='Severity nnotations generated for GPT-4 annotations for the HPO phenotype \\'Fetal akinesia sequence\\' (HP:000198).'}\n\n```{.r .cell-code .hidden}\nannot_cols <- setdiff(grep(\"justification\",names(gpt_annot), \n value = TRUE, invert = TRUE),\n c(\"hpo_name\",\"hpo_id\",\"pheno_count\"))\ntbl_fas <- gpt_annot[hpo_name=='Fetal akinesia sequence',]|>\n data.table::melt.data.table(id.vars = c(\"hpo_name\",\"hpo_id\"), \n measure.vars = list(\n Annotation=annot_cols,\n Justification=grep(\"justification\",names(gpt_annot), \n value = TRUE)\n )\n )\ntbl_fas[,\"Clinical characteristic\":=stringr::str_to_sentence(gsub(\"_\",\" \",annot_cols))]\nknitr::kable(\n as.data.frame(tbl_fas[,c(\"Clinical characteristic\",\"Annotation\",\"Justification\")])\n )\n```\n\n::: {.cell-output-display}\n\n\n|Clinical characteristic |Annotation |Justification |\n|:-----------------------|:----------|:------------------------------------------------------------------------------------------------------------------------------------------|\n|Intellectual disability |always |Fetal akinesia sequence typically results in severe neurodevelopmental impairment, including intellectual disability. |\n|Death |always |Fetal akinesia sequence is typically fatal in utero or shortly after birth. |\n|Impaired mobility |always |Fetal akinesia sequence results in severe physical impairment, including impaired mobility. |\n|Physical malformations |always |Fetal akinesia sequence is associated with multiple physical malformations. |\n|Blindness |often |Visual impairment is common in surviving individuals with fetal akinesia sequence due to neurodevelopmental impairment. |\n|Sensory impairments |always |Fetal akinesia sequence typically results in severe sensory impairment due to neurodevelopmental disruption. |\n|Immunodeficiency |rarely |While not a direct feature, some individuals with fetal akinesia sequence may have associated immune abnormalities. |\n|Cancer |never |Fetal akinesia sequence does not cause cancer. |\n|Reduced fertility |often |Given the severe physical impairments associated with fetal akinesia sequence, fertility is likely to be reduced in surviving individuals. |\n|Congenital onset |always |Fetal akinesia sequence is a congenital disorder. |\n\n\n:::\n:::\n", + "markdown": "---\ntitle: Harnessing AI to annotate the severity of all phenotypic abnormalities within the Human Phenotype Ontology\nauthor:\n - name: Kitty B Murphy\n orcid: 0000-0002-8669-3076\n corresponding: true\n email: kitty.murphy@ukdri.ac.uk\n roles:\n - Investigation\n - Project administration\n - Software\n - Visualization\n affiliations:\n - Department of Brain Sciences, Imperial College London, UK \n - UK Dementia Research Institute at Imperial College London, UK\n - name: Brian M Schilder\n orcid: 0000-0001-5949-2191\n corresponding: false\n email: brian_schilder@alumni.brown.edu\n roles: \n - Investigation\n - Project administration\n - Software\n - Visualization\n affiliations:\n - Department of Brain Sciences, Imperial College London, UK \n - UK Dementia Research Institute at Imperial College London, UK\n - name: Nathan G Skene\n orcid: 0000-0002-6807-3180\n email: n.skene@imperial.ac.uk\n corresponding: true\n roles: \n - Investigation\n - Project administration\n - Software\n - Visualization\n affiliations:\n - Department of Brain Sciences, Imperial College London, UK \n - UK Dementia Research Institute at Imperial College London, UK\nkeywords:\n - Ontology\n - Human Phenotype Ontology\n - Large Language Model\n - GPT-4\n - Artificial intelligence\n - Generative AI\n - Rare disease \n - Automation\n - Medicine\nbibliography: references.bib\ndate: last-modified\ncitation:\n container-title: medRxiv\n---\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nlibrary(dplyr)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n\nAttaching package: 'dplyr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:stats':\n\n filter, lag\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:base':\n\n intersect, setdiff, setequal, union\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nlibrary(ggplot2)\nlibrary(ggtext)\nlibrary(patchwork)\nlibrary(HPOExplorer)\nlibrary(KGExplorer)\nlibrary(data.table)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n\nAttaching package: 'data.table'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:dplyr':\n\n between, first, last\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nlibrary(Hmisc)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n\nAttaching package: 'Hmisc'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:dplyr':\n\n src, summarize\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:base':\n\n format.pval, units\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nlibrary(corrplot)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\ncorrplot 0.92 loaded\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nlibrary(ggstatsplot)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nYou can cite this package as:\n Patil, I. (2021). Visualizations with statistical details: The 'ggstatsplot' approach.\n Journal of Open Source Software, 6(61), 3167, doi:10.21105/joss.03167\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\noptions(\"knitr.table.format\"=\"pipe\")\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\n#### Load HPO data\ntag <- \"v2024-02-08\"\nsave_dir <- \"data\"\nkeep_descendants <- \"Phenotypic abnormality\"\np2g <- HPOExplorer::load_phenotype_to_genes(tag = tag,\n save_dir=save_dir)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nReading cached RDS file: phenotype_to_genes.txt\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n+ Version: v2024-02-08\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nhpo <- HPOExplorer::get_hpo(method=\"github\",\n tag=tag, \n save_dir=save_dir)\nhpo <- KGExplorer::filter_ontology(ont = hpo, \n keep_descendants = keep_descendants)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,548 terms remain after filtering.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n#### Read HPO GPT annotations \ngpt_annot <- HPOExplorer::gpt_annot_read(hpo = hpo)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nReading cached RDS file: phenotype_to_genes.txt\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n+ Version: v2024-02-08\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n492 phenotypes do not have matching HPO IDs.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nReading in GPT annotations for 16,648 phenotypes.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n#### Compute IDs counts\nids_matched <- intersect(c(hpo@terms,names(hpo@alternative_terms)), \n gpt_annot$hpo_id)\nnames_matched <- intersect(hpo@elementMetadata$name,\n trimws(gsub(\"obsolete\",\"\",gpt_annot$hpo_name, ignore.case = TRUE)))\n\nn_ids_hpo <- hpo@n_terms\nn_ids_gpt <- length(unique(data.table::fcoalesce(gpt_annot$hpo_name,gpt_annot$hpo_id)))\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nquery_hits <- HPOExplorer::search_hpo(search_cols = c(\"name\"),\n hpo = hpo)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nQuerying HPO for matching terms.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nNumber of phenotype hits per query group:\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n - intellectual_disability: 19\n - impaired_mobility: 319\n - physical_malformations: 78\n - blindness: 1\n - sensory_impairments: 252\n - immunodeficiency: 29\n - cancer: 56\n - reduced_fertility: 9\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n#### Run annotation checks\nchecks <- HPOExplorer::gpt_annot_check(annot = gpt_annot, \n query_hits = query_hits)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nWarning: The `facets` argument of `facet_grid()` is deprecated as of ggplot2 2.2.0.\nℹ Please use the `rows` argument instead.\nℹ The deprecated feature was likely used in the HPOExplorer package.\n Please report the issue at\n .\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n# checks$true_pos_rate\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nres_coded <- HPOExplorer::gpt_annot_codify(annot = gpt_annot)\nannot_melt <- HPOExplorer::gpt_annot_melt(res_coded = res_coded)\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nres_class <- HPOExplorer::gpt_annot_class(annot_coded = res_coded$annot_coded)\nres_class <- merge(res_class,\n res_coded$annot_weighted[,c(\"hpo_name\",\"severity_score_gpt\")])\nfig_severity_class <- ggstatsplot::ggbetweenstats(res_class,\n x=\"severity_class\", y=\"severity_score_gpt\")\nfig_severity_class_dt <- MSTExplorer:::get_ggstatsplot_stats(fig_severity_class)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\ngpt_annot_plot_out <- HPOExplorer::gpt_annot_plot(\n annot = gpt_annot[hpo_name!=keep_descendants],\n keep_descendants = keep_descendants, \n width = 10)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding level-2 ancestor to each HPO ID.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding ancestor metadata.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAncestor metadata already present. Use force_new=TRUE to overwrite.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,958 terms remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n166,610 associations remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nGetting absolute ontology level for 18,536 IDs.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding level-2 ancestor to each HPO ID.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding ancestor metadata.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAncestor metadata already present. Use force_new=TRUE to overwrite.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,958 terms remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n166,610 associations remain after filtering.\n```\n\n\n:::\n:::\n\n\n## Abstract\n\nThe Human Phenotype Ontology (HPO) has played a crucial role in defining, diagnosing, prognosing, and treating human diseases by providing a standardised framework for describing phenotypic abnormalities. However, documentation on the severity of each phenotype is currently very sparse, making systematic analyses and prioritisation of results challenging. With \\>17500 phenotypic abnormalities across \\>8600 rare diseases, manual curation of such phenotypic annotations by experts would be exceedingly labour-intensive and time-consuming. Leveraging advances in artificial intelligence, we employed the OpenAI GPT-4 large language model (LLM) to systematically annotate the severity of all phenotypic abnormalities in the HPO. First, we benchmarked the generative LLM annotations against ground-truth labels within the HPO (e.g. phenotypes in the 'Cancer' HPO branch were annotating as causing cancer by GPT-4). True positive recall rates across different annotations ranged from 89-100% (mean=96%), clearly demonstrating the ability of GPT-4 to automate the curation process with a high degree of fidelity. Using a novel approach, we developed a severity scoring system that incorporates both the nature of the phenotype outcome and the frequency of its occurrence. These severity metrics will enable efforts to systematically prioritise which human phenotypes are most detrimental to human health, and best targets for therapeutic intervention.\n\n## Introduction\n\nComprehensive annotation of phenotypic abnormalities is invaluable for defining, diagnosing, prognosing, and treating human disease. Since 2008, the Human Phenotype Ontology (HPO) has been instrumental to this, by providing a standardised database for the description and analysis of human phenotypes [@kohlerHumanPhenotypeOntology2021; @garganoHumanPhenotypeOntology2024]. Through developing open community resources, the depth and breadth of the HPO has continued to expand and there are now \\>17500 phenotypic abnormalities across \\>8600 diseases, described. In recent years, the HPO has expanded its disease annotations so that each HPO term can have metadata including typical age of onset and frequency. In addition, there are the *Clinical modifier* and *Clinical course* subontologies, which contains terms to describe factors including severity, triggers, mortality and progression, respectively. Describing the severity-related attributes of a disease is crucial for both research and clinical care of individuals with rare diseases. This includes enhancing diagnostic capabilities, as well as prioritising and guiding gene therapy trials.\n\nTo date, the HPO has largely relied on manual curation by experts including clinicians, clinical geneticists and researchers. Although this approach ensures the quality and accuracy of the ontology, it is time-consuming and labour-intensive. As a result, less than 1% of terms within the HPO have metadata pertaining to their features such as time course and severity. Artificial intelligence (AI) capabilities have advanced considerably in recent years, presenting new opportunities to integrate natural language processing technologies into assisting in the curation process. Specifically, there have recently been considerable advances in large language model (LLM) and their application to biomedical problems, in some cases performing as well or better than human clinicians on standardised medical exams and patient diagnosis tasks [@vanveenAdaptedLargeLanguage2024; @boltonBioMedLM7BParameter2024; @zhangBiomedGPTUnifiedGeneralist2023; @labrakBioMistralCollectionOpenSource2024; @guDomainSpecificLanguageModel2021; @singhalLargeLanguageModels2023; @shinBioMegatronLargerBiomedical2020; @chengExploringPotentialGPT42023; @singhalLargeLanguageModels2023; @oneilPhenomicsAssistantInterface2024; @luoBioGPTGenerativePretrained2022; @mcduffAccurateDifferentialDiagnosis2023; @singhalExpertLevelMedicalQuestion2023]. Recent work has demonstrated that the Generative Pre-trained Transformer 4 (GPT-4) foundation model [@openaiGPT4TechnicalReport2024], when combined with strategic prompt engineering, can outperform even specialist LLMs that are explicitly fine-tuned for biomedical tasks [@noriCanGeneralistFoundation2023]. In a landmark achievement, GPT-4 was the first LLM to surpass a score of 90% in the United States Medical Licensing Examination (USML) [@noriCanGeneralistFoundation2023].\n\nHere, we have used GPT-4 to systematically annotate the severity of 17502 / 17548 (99.7%) phenotypic abnormalities within the HPO. Our severity annotation framework was adapted from previously defined criteria developed through consultation with clinicians [@Lazarin2014-rz]. The authors consulted 192 healthcare professionals for their opinions on the relative severity of various clinical characteristics: they used this to create a system for categorising the severity of diseases. Briefly, each healthcare professional was sent a survey asking them to first rate how important a disease characteristic was for determining disease severity, and then to rate the severity of a set of given disease. Using the responses, the authors were able to categorise clinical characteristics into 4 'severity tiers'. While characteristics such as shortened lifespan in infancy and intellectual disability were identified as highly severe and placed into tier 1, sensory impairment and reduced lifespan were categorised as less severe and placed into tier 4. Standardised metrics of severity allow clinicians to quickly assess the urgency of treating a given phenotype, as well as prognosing what outcomes might be expected.\n\n793 phenotypes were annotated multiple times to evaluate the consistency of responses generated by GPT-4. For a subset of phenotypes with known expected annotations, true positive rates were calculated to assess recall. Additionally, based on the clinical characteristics and their occurrence, we have quantified the severity of each phenotype, providing an example of how these clinical characteristic annotations can be used to guide prioritisation of gene therapy trials. Ultimately, we hope that our resource will be of utility to those working in rare diseases, as well as the wider healthcare community.\n\n## Results\n\n### Annotating the HPO using GPT-4\n\n\n::: {#cell-fig-occurrence .cell}\n\n```{.r .cell-code .hidden}\n# subset to clinical characteristics \nannotation_order <- c(\"death\", \"intellectual disability\", \"impaired mobility\", \"blindness\", \n \"congenital onset\", \"physical malformations\", \"sensory impairments\", \n \"immunodeficiency\", \"cancer\", \"reduced fertility\")\noccurr_df <- gpt_annot[,c(\"hpo_name\",gsub(\" \", \"_\", annotation_order)),with=FALSE]\ncols_of_interest <- names(occurr_df)[-1]\n# Create an empty dataframe to store the counts\ncount_df <- data.frame(matrix(0, nrow = length(cols_of_interest), ncol = 4))\ncolnames(count_df) <- c(\"always\", \"often\", \"rarely\", \"never\")\nrownames(count_df) <- cols_of_interest\n\n## Loop through each column of interest and count the occurrences of:\n## 'always', 'often', 'rarely', 'never'\nfor (col in cols_of_interest) {\n counts <- table(occurr_df[[col]])\n count_df[col, ] <- counts[match(colnames(count_df), names(counts))]\n}\n\ncount_df_long <- tidyr::gather(count_df,\n key = \"condition\",\n value = \"count\", \n always:never)\ncount_df_long$category <- rownames(count_df)\n\ncount_df_long$category <- gsub(\"_\", \" \", count_df_long$category)\ncount_df_long$condition <- factor(count_df_long$condition, \n levels=c(\"always\", \"often\", \"rarely\", \"never\"))\n\ncount_df_long <- count_df_long |>\n dplyr::group_by(category) |>\n dplyr::mutate(percentage = count / sum(count) * 100)\n\n# set annotation order for plots \ncount_df_long$category <- factor(count_df_long$category, \n levels = annotation_order)\n \n\n# Load the prompt generation function \nsource(\"code/prompt_gen.R\")\nprompts <- prompt_gen_table(hpo = hpo)\ntxt_prompt <- prompts$prompt[1688]\nfor(x in prompts$terms[[1688]]){\n txt_prompt <- sub(x,paste0(\"*\",x,\"*\"),txt_prompt)\n}\nfor(x in c(\n eval(formals(prompt_gen_table)$effects),\n eval(formals(prompt_gen_table)$responses),\n \"justification\")){\n txt_prompt <- sub(x,paste0(\"**\",x,\"**\"),txt_prompt)\n}\n## Subplot a: Example prompt\nf1a <- ggplot() + \n labs(title=\"Example GPT-4 prompt\") +\n ggtext::geom_textbox(aes(x=.5,y=.7),\n box.padding = margin(20, 10, 20, 10),\n box.margin = margin(0, 0, 0, 0),\n box.r = grid::unit(30, \"pt\"),\n width = unit(.8, \"npc\"),\n size=3,\n halign=.5,\n fill=\"grey90\",\n label=txt_prompt) +\n ylim(c(0,1)) +\n theme_void() +\n theme(plot.title = element_text(hjust=0.5))\n\n## Subplot b: Stacked bar plot of clinical characteristic occurrence.\nf1b <- ggplot(count_df_long, aes(x = category, y = count, fill = condition)) +\n geom_bar(stat = \"identity\") +\n labs(title = \"Clinical characteristic occurrence\",\n x = NULL, y = \"HPO phenotypes (n)\", fill = NULL) +\n theme_minimal() +\n theme(legend.position = \"right\", \n plot.title = element_text(hjust=0.5, vjust=-1), \n axis.text.x = element_text(angle=45, hjust=1), \n ) +\n scale_fill_brewer(palette = \"GnBu\", direction = -1)\n\n(\n f1a| \n (f1b/plot_spacer() ) + plot_layout(heights = c(1, .1))\n) + \n patchwork::plot_layout(widths = c(1,1)) +\n patchwork::plot_annotation(tag_levels = letters) \n```\n\n::: {.cell-output-display}\n![GPT-4 was able to annotate all human phenotypes based on whether they are always/often/rarely/never associated with different clinical characteristics. **a**, An example of the prompt input given to to GPT-4. The phenotypes listed in the second to last sentence (*italicised*) were changed to allow all HPO phenotypes to be annotated. **b**, Stacked bar plot showing the proportion of the occurrence of each clinical characteristic across all annotated HPO phenotypes. The terms shown on the x-axis are the clinical characteristics for which GPT-4 was asked to determine whether each phenotype caused them.](manuscript_files/figure-html/fig-occurrence-1.png){#fig-occurrence width=960}\n:::\n:::\n\n\nWe employed the OpenAI GPT-4 model with Python to annotate 17502 terms within the HPO (v2024-02-08) [@kohlerHumanPhenotypeOntology2021; @garganoHumanPhenotypeOntology2024]. Our annotation framework was developed based on previously defined criteria for classifying disease severity [@Lazarin2014-rz]. We sought to evaluate the impact of phenotypes on factors including intellectual disability, death, impaired mobility, physical malformations, blindness, sensory impairments, immunodeficiency, cancer, reduced fertility, and congenital onset. Through prompt design we found that the performance of GPT-4 improved when we incorporated a scale associated with each effect and required a justification for each response. For each effect, we asked about the likelihood of its occurrence - whether it never, rarely, often, or always occurred.\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nnever_thresh <- 50\nnever_dt <- subset(count_df_long, condition==\"never\" & percentage>=never_thresh)\nalways_death <- gpt_annot[,list(always_death=all(death==\"always\"),\n hpo_name=hpo_name[1]),\n by=\"hpo_id\"][always_death==TRUE,]\n```\n:::\n\n\nPhenotype outcome occurrence varied across annotation categories. \\>50% of phenotypes never caused blindness, sensory impairments, immunodeficiency, cancer, reduced fertility or intellectual disability. Only a minority of phenotypes (21.7%) never had a congenital onset, which is expected as rare disorders tend to be early onset genetic conditions [Fig. @fig-occurrence].\n\nLess than 1% of phenotype always directly resulted in death, such as 'Stillbirth', 'Anencephaly' and 'Bilateral lung agenesis'. Only 71 phenotypes were annotated as always causing death, while 9707 phenotypes were annotated as often or rarely causing death. 7880 phenotypes were annotated as never causing death. This included 34 unique forms of syndactyly, a non-lethal condition that causes fused or webbed fingers (occurring 1 in 1,200–15,000 live births). While not life-threatening itself, syndactyly is a symptom of genetic disorders that can cause life-threatening cardiovascular and neurodevelopmental defects, such as Apert Syndrome [@garagnaniSyndromesAssociatedSyndactyly2013]. This example highlights the ability of GPT-4 to successfully distinguish between phenotypes that directly cause lethality, and those that are often associated with diseases that cause lethality.\n\n### Annotation consistency and recall\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nconsist <- checks$annot_stringent_mean\nconsist <- HPOExplorer::add_hpo_id(consist, hpo = hpo)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nconsist <- HPOExplorer::add_ont_lvl(consist, hpo = hpo)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nGetting absolute ontology level for 17,548 IDs.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n# consist_vs_lvl <- Hmisc::rcorr(as.matrix(consist[!is.na(ontLvl)][,-c(\"hpo_name\",\"hpo_id\")]))\n# corrplot::corrplot(consist_vs_lvl$r)\n\nconsist_vs_ontLvl <- consist|>\n data.table::melt.data.table(id.vars = c(\"hpo_name\",\"hpo_id\",\"ontLvl\"), \n variable.name = \"metric\", \n value.name = \"Consistent\\n(stringent)\")|>\n # ggstatsplot::ggscatterstats(x = \"consistency\",\n # y = \"ontLvl\")\n # ggstatsplot::ggbetweenstats(x = \"consistency\", \n # y = \"ontLvl\", type = \"parametric\")\n ggstatsplot::ggbarstats(x = \"Consistent\\n(stringent)\", \n y = \"ontLvl\") +\n ggplot2::labs(title = \"Consistency of GPT-4 annotations by HPO level\")\nconsist_vs_ontLvl_dt <- MSTExplorer:::get_ggstatsplot_stats(consist_vs_ontLvl)\n```\n:::\n\n\nTo assess annotation consistency, 793 we queried GPT-4 with a subset of the HPO phenotypes multiple times. We employed two different metrics to determine the *consistency rate*. The first, less stringent metric, defined consistency as the duplicate annotations being either 'always' and 'often', or 'never' and 'rarely'. The second, more stringent metric, required exact agreement in annotation occurrences, e.g. 'always' and 'always'. For the less stringent metric, duplicated phenotypes were annotated consistently at a rate of at least 80%, and for the more stringent metric, the lowest consistency rate was 57% for congenital onset. An example of where annotations were inconsistent was for the HPO term 'Acute leukaemia'. One time, GPT-4 annotated it as often causing impaired mobility, giving the justification that 'weakness and fatigue from leukaemia and its treatment can impair mobility'. The other time, GPT-4 annotated it as rarely causing impaired mobility, giving the justification that 'acute leukaemia rarely impairs mobility directly'. Despite specifying in the prompt for GPT-4 not to take into consideration indirect effects, this is an example of where it failed to do so.\n\nWe also reasoned that GPT-4 would be better able to give consistent answers for more specific phenotypes lower in the ontology, as they are more likely to have a single cause. We found that the stringent consistency rate did indeed significantly improve with greater HPO ontology depth ($X_{Pearson}^2$=22.17, $\\hat{V}_{Cramer}$=0.03, p=0.05). See @fig-consist-vs-ontLvl for a visual representation of this relationship.\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\n# Define items to be checked\nitems <- c(\"consistency_count\", \"consistency_rate\",\n \"consistency_stringent_count\", \"consistency_stringent_rate\",\n \"true_pos_count\", \"true_pos_rate\")\nmetric_types <- c(\"Rate\", \"Count\")[1]\n\n# Get data frame with checks values\ncheck_df <- lapply(checks[items], data.table::as.data.table, keep.rownames = TRUE) |>\n data.table::rbindlist(idcol = \"metric\") |>\n data.table::setnames(c(\"metric\", \"annotation\", \"value\"))\n\ncheck_df$metric <- factor(check_df$metric,\n levels = items,\n ordered = TRUE)\n\ncheck_df$annotation <- factor(check_df$annotation,\n levels = unique(check_df$annotation),\n ordered = TRUE)\n\ncheck_df[, metric_type := ifelse(grepl(\"count\", metric),\n \"Count\", ifelse(grepl(\"rate\", metric), \"Rate\", NA))]\n\ncheck_df[, metric_category := gsub(\"_count|_rate\", \"\", metric)]\n\ncheck_df$metric_type <- factor(check_df$metric_type, ordered = TRUE)\n\ncheck_df <- check_df[annotation != \"pheno_count\"]\n\ncheck_df[, n := value[metric_type == \"Count\"],\n by = c(\"metric_category\", \"annotation\")]\n\ncheck_df$annotation <- gsub(\"_\", \" \", check_df$annotation)\nannotation_order <- unique(check_df$annotation)\ncheck_df$annotation <- factor(check_df$annotation, levels = annotation_order)\ncheck_df$metric_category <- gsub(\"_\", \" \", check_df$metric_category)\ncheck_df[metric_category==\"consistency\",metric_category:=\"consistency lenient\"]\n```\n:::\n\n::: {#cell-fig-checks .cell}\n\n```{.r .cell-code .hidden}\nlab_size <- 3\nconsistency_plot <- ggplot(check_df[metric_type %in% metric_types &\n grepl(\"consistency\",metric_category)],\n aes(x = annotation, y = value,\n fill = stringr::str_to_sentence(\n gsub(\"consistency \", \"\", metric_category)\n ),\n label = round(value, 2))) +\n geom_bar(stat = \"identity\",position = \"dodge\") +\n labs(title=\"Annotation consistency\",\n x = NULL, y = \"Mean consistency\", \n fill=NULL) +\n scale_fill_manual(values = c(\"#C3DAEAFF\", \"#ECE28BFF\")) +\n theme_bw() +\n theme(axis.text.x = element_text(angle = 45, hjust = 1),\n legend.position = \"top\", \n strip.background = element_rect(fill=\"white\"),\n plot.title = element_text(hjust = 0.5)) +\n geom_text(aes(x = 1, y = 1, label = paste0(\"n=\",n,\" phenotypes\")),\n size=lab_size,\n check_overlap=TRUE, hjust=0) +\n ## Compute the empirical probability of annotations being consistent by chance \n ## with 2 options and N duplicates\n geom_hline(yintercept = mean(1/2^checks$annot$pheno_count), \n color=\"dodgerblue\", linetype=\"dashed\")+\n ## Compute the empirical probability of annotations being consistent by chance \n ## with 4 options and N duplicates\n geom_hline(yintercept = mean(1/4^checks$annot$pheno_count), \n color=\"gold3\", linetype=\"dashed\")\n\nrecall_plot <- ggplot(check_df[metric_type %in% metric_types &\n metric_category %in% c(\"true pos\"), ],\n aes(x = annotation, y = value,\n fill = metric_category,\n label = n#paste0(\"n\\n=\\n\",n)\n )\n ) +\n geom_bar(stat = \"identity\", show.legend = TRUE) +\n theme_bw() +\n labs(x = NULL, y = \"Recall\") +\n ggtitle(\"True positive rate\") +\n scale_fill_manual(values = c(\"#B1D5BBFF\")) +\n theme(axis.text.x = element_text(angle = 45, hjust = 1),\n legend.position = \"none\", \n plot.title = element_text(hjust = 0.5)) +\n geom_label(fill = alpha(\"white\",1),\n size = lab_size)\n\nconsistency_plot + recall_plot + \n plot_layout(widths = c(1, 1)) +\n plot_annotation(tag_levels = 'a')\n```\n\n::: {.cell-output-display}\n![GPT-4 annotations are consistent and accurate across annotations. **a**, Barplot showing the annotation consistency within phenotypes that were annotated more than once. In the lenient metric, annotations were collapsed into two groups ('always'/'often' and 'never'/'rarely'). For a given clinical characteristic within a given phenotype, if an annotation was always within the same group it was considered consistent. In the stringent metric, all four annotation categories were considered to be different from one another. Thus, annotations were only defined as consistent if they were all identical. The blue dashed line indicates the probability of two annotations being consistent by chance in the lenient metric (~1/2). The gold dashed line is the probability of two annotations being consistent by chance in the stringent metric (~1/4). **b**, Bar plot of the true positive rate for each annotation. The labels above each bar indicate the number of phenotypes tested.](manuscript_files/figure-html/fig-checks-1.png){#fig-checks width=576}\n:::\n:::\n\n\nIn order to evaluate the validity of the annotations, we calculated a true positive rate. This involved identifying specific branches within the HPO that would contain phenotypes that would reliably indicate the presence of certain conditions. For instance, the phenotypes 'Decreased fertility in females' and 'Decreased fertility in males' should often or always cause reduced fertility. We observed an encouraging true positive rate exceeding 88% across in every clinical characteristic and achieving perfect recall (100%) in 4/8 characteristics.\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nlowest_recall <- names(checks$true_pos_rate)[checks$true_pos_rate==min(checks$true_pos_rate)]\nlowest_recall_dt <- checks$annot[get(lowest_recall)==\"never\" & hpo_id %in% query_hits[[lowest_recall]]]\n```\n:::\n\n\nThe lowest true positive rate was observed for physical malformations, with 88.5% recall across 87 HPO phenotypes. Some cases in which the GPT-4 annotations disagreed with the HPO ground truth included: 'Angioma serpentinum', 'Nevus anemicus', 'Pulmonary arteriovenous fistulas'. In the case of 'Angioma serpentinum' it provided the justification that 'No known association with physical malformations'. In another instance, GPT-4 noted that 'Nevus anemicus' is 'Limited to hypopigmented skin patch; no other malformations.'. This indicates that while technically incorrect according to our predefined benchmarks, a case could in fact be made that mild skin conditions do not rise to the level of physical malformations.\n\nThis high level of recall underscores the robustness of our annotations and the reliability of the HPO framework in capturing clinically relevant phenotypic information. However, we acknowledge that the number of testable true positive phenotypes for some of these categories are low, especially 'blindness' for which there is only 1 phenotype in the HPO (after excluding terms pertaining to colour or night blindness). Furthermore, some of the true positive phenotypes are lexically similar to the name of the clinical characteristic itself. In these cases, annotating 'Severe intellectual disability' as always causing intellectual disability is a relatively trivial task. Nevertheless, even these scenarios provide a clear and interpretable benchmark for the model's performance. In addition, were numerous phenotypes with lexically non-obvious relationships to the clinical characteristic that were annotated correctly by GPT-4. For example, 'Molar tooth sign on MRI' was correctly annotated as causing intellectual disability.\n\n### Quantifying phenotypic severity\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nanenceph_dt <- res_coded$annot_weighted[hpo_name=='Anencephaly',]\n```\n:::\n\n\nQuantifying the severity of phenotypes can have important implications for diagnosis, prognosis, and treatment, for instance, guiding prioritisation of gene therapy trials for the most severe phenotypes. First, we created a dictionary to map each phenotype outcome (e.g. blindness) and its response (always, often, rarely, never) to numeric values from 0-3. Then, the phenotype outcome values were multiplied by their associated response values. Importantly, the values reflected the severity of each outcome based on both the outcome itself and the frequency of the response. For instance, a phenotype always causing death would have a higher multiplied value than a phenotype rarely causing reduced fertility (see @tbl-metric-weights). Next, we computed an average score for each phenotype by aggregating the multiplied values across all phenotype outcomes and then calculating the mean. This was then normalised by the theoretical maximum severity score, so that all phenotypes were on a 0-100 severity scale (where 100 is the most severe phenotype possible). This average normalised score represents the overall severity of the phenotype based on the severity of its individual outcomes.\n\nBased on these scores we evaluated the top 50 severe phenotypes. One of the most severe phenotype was 'Anencephaly' (HP:0002323) with a composite severity score of 52. Anencephaly is a birth defect where the baby is born without a portion of its brain and skull, often these babies are stillborn. In fact, many of the most severe phenotypes were related to developmental brain and neural tube defects. Comparison of the severity scores for each response, across the phenotype outcomes annotated, revealed consistent trends: as the response of the phenotype outcome increased (from never to always), the severity score also increased ([Supplementary Fig. @fig-severity-boxplot]). We also evaluated the severity score distribution by HPO branch and calculated the mean severity score using all phenotypes within each major HPO branch ([Fig. @fig-severity-histo]). The HPO branch with the greatest mean severity score was 'Abnormal cellular phenotype' (mean=19.6), followed by 'Neoplasm' (mean=17.2), which would include the highly ranked phenotypes seen in @fig-top-phenos.\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\n## code adapted from HPOExplorer::gpt_annot_plot()\n# get all descendants of the term phenotypic abnormality \nkeep_ont_levels=seq(3,17)\n#### Filter out ont levels ####\nannot_melt <- HPOExplorer::add_ancestor(annot_melt,\n keep_descendants = keep_descendants)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding level-2 ancestor to each HPO ID.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding ancestor metadata.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAncestor metadata already present. Use force_new=TRUE to overwrite.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,958 terms remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n166,620 associations remain after filtering.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\ndata.table::setorderv(annot_melt,\"severity_score_gpt\",-1)\n\nannot_melt <- HPOExplorer::add_ont_lvl(annot_melt, keep_ont_levels = keep_ont_levels)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nGetting absolute ontology level for 18,536 IDs.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nannot_melt$variable <- gsub(\"_\", \" \", annot_melt$variable)\n\n# get all unique phenotypes\ntotal_unique <- length(unique(annot_melt$hpo_id))\n\n# get the top N phenotypes\ntop_n <- 15\ndat_top <- annot_melt[hpo_id %in% unique(annot_melt$hpo_id)[seq(top_n)]]\n\n# Get the bottom N phenotypes\nbottom_n <- 15\ndat_bottom <- annot_melt[hpo_id %in% unique(annot_melt$hpo_id)[seq(total_unique - bottom_n + 1, total_unique)]]\n\n# Define the range for selecting phenotypes from the middle\nstart_index <- ceiling(total_unique / 2) \nend_index <- start_index + 12\n\n# Get phenotypes from the middle\ndat_middle <- annot_melt[hpo_id %in% unique(annot_melt$hpo_id)[seq(start_index, end_index)]]\n\n# define labels\ndat_top$position <- \"Top\"\ndat_middle$position <- \"Middle\"\ndat_bottom$position <- \"Bottom\"\n\ndat_all <- rbind(dat_top, dat_middle, dat_bottom)\ndat_all$position <- factor(dat_all$position, levels=unique(dat_all$position))\ndat_all$variable <- factor(dat_all$variable, levels = annotation_order)\n```\n:::\n\n::: {#cell-fig-top-phenos .cell}\n\n```{.r .cell-code .hidden}\np1 <- ggplot2::ggplot(data = dat_all,\n ggplot2::aes(x=variable, y=hpo_name, fill=value)) +\n ggplot2::geom_tile(colour = \"white\", lwd = 0.5, linetype =1) +\n ggplot2::scale_y_discrete(limits=rev) +\n scale_fill_brewer(palette = \"GnBu\", direction = -1) +\n ggplot2::theme_classic() +\n ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 45, hjust = 1),\n legend.position = 'right') +\n labs(x = \"Clinical characteristic\",\n y = \"HPO phenotype\",\n fill = \"Occurrence\") +\n ggplot2::facet_grid(position ~ ., scales = \"free_y\")\n\np2 <- ggplot2::ggplot(data = dat_all,\n ggplot2::aes(x=\"severity_score_gpt\", y=hpo_name,\n fill=severity_score_gpt)) +\n ggplot2::geom_tile() +\n ggplot2::scale_y_discrete(limits=rev) +\n scale_fill_gradientn(colours = colorspace::heat_hcl(7), trans = \"reverse\") +\n ggplot2::labs(x=NULL, y=NULL, fill = \"Severity\\nscore\") +\n ggplot2::theme_void() +\n guides(fill = guide_colorbar(reverse = TRUE)) +\n ggplot2::theme(axis.text.y = ggplot2::element_blank(),\n axis.ticks.y = ggplot2::element_blank(),\n legend.position = 'right')\n\np3 <- patchwork::wrap_plots(p1, p2, ncol = 2,\n widths = c(1,.2),\n guides = \"collect\")\n\nmethods::show(p3)\n```\n\n::: {.cell-output-display}\n![Quantifying the severity of HPO phenotype annotations highlights the most impactful conditions. Heatmap of the top (n = 15), mid-range (n = 15), and bottom (n = 15) HPO phenotypes based on severity score. Severity scores were calculated by multiplying the numeric values assigned to each clinical characteristic according to @tbl-metric-weights. The average normalised score, representing overall phenotype severity on a 0-100 scale, was calculated by aggregating the multiplied values and normalising by the theoretical maximum severity score. The x-axis is scaled by the severity of the clinical characterisation.](manuscript_files/figure-html/fig-top-phenos-1.png){#fig-top-phenos width=768}\n:::\n:::\n\n\n### Severity classes\n\nWhile the continuous severity score is a helpful metric, there may be some use cases where a categorical classification of severity is more immediately useful. In work by @Lazarin2014-rz, the authors defined severity classed using a simple decision tree based on the individual severity annotations. We approximated this approach using our GPT-4 annotations. This categorical approach showed a strong degree of positive correspondence with the continuous severity score ($\\hat{\\omega_{p}^2}$=0.87, p<2.2e-308). In other words, severity score increased with severity class level (mild < moderate < severe < profound) as expected. The distribution of severity classes is shown in @fig-severity-class. \n\n\n### Correlations between severity metrics\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\ncor_metrics <- Hmisc::rcorr(as.matrix(res_coded$annot_weighted[,-c(\"hpo_id\",\"hpo_name\")]))\ncor_composite <- sort(cor_metrics$r[\"severity_score_gpt\",], decreasing = TRUE)[-1]\n```\n:::\n\n\nWe found that some severity metrics were correlated with one another, with a mean Pearson correlation of 0.2 across all individual metrics (see @fig-metric-corplot). In particular, blindness and sensory impairment were highly correlated with one another (r=0.62, p=0). Some metrics drove the composite severity score more than other, which is a reflection of both our per-metric weighting scheme, response type frequencies, and the correlation structure between metrics. Overall, impaired mobility seemed to be the strongest driver of the composite severity score with a Pearson correlation of 0.6138757, followed by intellectual disability (r=0.6) and sensory impairments (r=0.54). \n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\n### Correlation with QALY\nihme <- data.table::fread(\"~/Downloads/IHME-GBD_2019_DATA-e678e00e-1/IHME-GBD_2019_DATA-e678e00e-1.csv\")\nihme[,nm:=tolower(cause_name)]\n\nres_coded$annot_weighted[,nm:=tolower(hpo_name)]\nihme_merged <- merge(data.table::dcast.data.table(ihme, \n formula = \"nm~measure_name+metric_name\", \n value.var = \"val\",\n fun.aggregate = mean, na.rm=TRUE), \n res_coded$annot_weighted)\nmetric_cols <- list(\n IHME=grep(paste(paste0(\"_\",\n \"Percent\",\n # unique(ihme$metric_name)[1],\n \"$\"),collapse = \"|\"),names(ihme_merged), value = TRUE),\n GPT=setdiff(names(res_coded$annot_weighted),c(\"hpo_id\",\"hpo_name\",\"nm\"))\n)\n\nXcor <- cor(ihme_merged[,unlist(metric_cols),with=FALSE], use=\"complete.obs\")\nheatmaply::heatmaply(Xcor[metric_cols$IHME,metric_cols$GPT])\n```\n:::\n\n\n\n## Discussion\n\nThe creation and annotation of biomedical knowledge has traditionally relied on manual or semi-manual curation by human experts [@putmanMonarchInitiative20242024; @ochoaOpenTargetsPlatform2021; @mungallMonarchInitiativeIntegrative2017a; @kohlerHumanPhenotypeOntology2021; @garganoHumanPhenotypeOntology2024]. Performing such manual curation and review tasks at scale is often infeasible for human biomedical experts given limited time and resources. LLMs have the capacity to effectively encode, retrieve, and synthesise vast amounts of diverse information in a highly scalable manner [@vanveenAdaptedLargeLanguage2024; @singhalLargeLanguageModels2023; @openaiGPT4TechnicalReport2024]. This makes them powerful tools that can be applied in a rapidly expanding variety of scenarios, including medical practice, research and data curation [@singhalLargeLanguageModels2023; @toroDynamicRetrievalAugmented2023; @panLargeLanguageModels2023; @oneilPhenomicsAssistantInterface2024; @caufieldStructuredPromptInterrogation2023].\n\nHere, we introduce a novel framework to leverage the current best-in-class LLM, GPT-4 [@openaiGPT4TechnicalReport2024], to systematically annotate the severity of 17502 phenotypic abnormalities within the HPO. By employing advanced AI capabilities, we have demonstrated the feasibility of automating this process, significantly enhancing efficiency without substantially compromising accuracy. Our validation approach yielded a high true positive rate exceeding 88% across the phenotypes tested. Furthermore, our approach can be readily adapted and scaled to accommodate the growing volume of phenotypic data.\n\nThroughout this study, we observed that GPT-4 was capable of reliably recovering deep semantic relationships from the medical domain, far beyond making superficial inferences based on lexical similarities. An excellent example of this is the phenotype 'Molar tooth sign on MRI' (HP:0002419; severity score=30), which GPT-4 annotated as causing intellectual disability. At first glance, we ourselves assumed this was a false positive as the term appeared to be related to dentition. However, upon further inspection we realised that molar tooth sign is in fact a pattern of abnormal brain morphology that happens to bear some resemblance to molar dentition when observed in radiological scans. This phenotype is a known sign of neurodevelopmental defects that can indeed cause severe intellectual disability [@gleesonMolarToothSign2004].\n\nIn addition to rapidly synthesising and summarising vast amounts of information, LLMs can also be steered to provide justifications for each particular response. This makes LLMs amenable to direct interrogation as a means of recovering explainability, especially when designed to retain information about previous requests and interactions as they use these to iteratively improve and update their predictions [@janikAspectsHumanMemory2024]. This represents a categorical advance over traditional natural language processing models based on more shallow forms of statistical or machine learning (e.g. Term Frequency-Inverse Document Frequency [@jonesStatisticalInterpretationTerm1972], Word2vec [@mikolovEfficientEstimationWord2013]) which lack the ability to provide chains of causal reasoning to justify their predictions. This highlights the fundamental trade-off between simpler models with high explainability (the ability humans to understand the inner workings of the model) but low interpretability (the ability of humans to trace the decision process of the model, analogous to human 'reasoning'), and deeper more complex models with low explainability but high interpretability [@marcinkevicsInterpretabilityExplainabilityMachine2023].\n\nA key contribution of our study is the introduction of a quantitative severity scoring system that integrates both the nature of the phenotype outcome and the frequency of its occurrence. By encoding the concept of severity in this way, we are able to prioritise phenotypes based on their impact on patients. The methodology allowed us to transition from low-throughput qualitative assessments of severity (e.g. @Lazarin2014-rz) to high-throughput quantitative assessments of severity. One of the most severe phenotypes in the HPO is 'Fetal akinesia sequence' (FAS; HP:0001989, severity score= 50.7), and extremely rare condition that is almost always lethal. FAS is a complex, multi-system phenotype that can be caused by at least 24 different genetic disorders. Despite the complex and heterogeneous aetiology of this phenotype, GPT-4 was able to provide accurate annotations alongside explainable justifications for those annotations (see @tbl-fas). For example, this phenotype almost always results in death, either *in utero* or shortly after birth. Not only did GPT-4 correctly provide the annotation death as 'always', when asked whether FAS causes sensory impairments it provided the response 'always' with the justification 'Fetal akinesia sequence typically results in severe sensory impairment due to neurodevelopmental disruption.' Neurodevelopmental disruption is indeed a hallmark component of FAS (e.g. hydrocephalus, cerebellar hypoplasia) that causes severe impairments across multiple sensory systems [@chenPrenatalDiagnosisGenetic2012]. This demonstrates that GPT-4 was able to recover the correct chain of causality from phenotype to clinical outcome.\n\nOur findings highlight the potential of this next generation of natural language processing technologies in significantly contributing to the automation and refinement of data curation in biomedical research. These results have a large number of useful real-world applications, such as prioritising gene therapy candidates [@murphyIdentificationCellTypespecific2023] and guiding clinical decision-making in rare diseases. As the HPO continues to grow over time, this approach can easily be repeated to keep pace with the rapidly evolving biomedical landscape. Furthermore, this approach can be extended to produce different sets of annotations or be used with any other ontology. Additional use cases include gathering data on the prevalence of each phenotype to approximate their social and financial costs.\n\nOne key limitation of our study is the fact that we did not explicitly interrogate GPT-4 to assess how the availability of treatments affected the annotations it produced. For example, there are some very severe conditions for which highly effective treatments and early detection screens are widely available (e.g. syphilis, some forms of melanoma), thus rendering them fully treatable or even curable provided access to modern healthcare. It would therefore be useful to further interrogate GPT-4 to uncover how the availability of treatments influences its responses. Many of our findings here seem to indicate that GPT-4 does take into account quality of care to the extent that health services increase the likelihood of desired outcomes. For example, many of the cancer phenotypes are justified as always or often causing death unless detected and treated early in the disease course. On the other hand, some cancers are justified as rarely causing death if appropriate treatment is provided, which may not always be the case for individuals or populations with access to less access to quality healthcare services. Future efforts could more explicitly ask GPT-4 whether the phenotype would cause death with no or suboptimal treatment.\n\nIn addition to these technical challenges, there are multiple factors that need to be considered when trying to prioritise phenotypes for their suitability for gene therapy development. First, while we have attempted to formalise severity here, this is an inherently subjective concept that may vary considerably across different individuals and contexts. For instance, one could ask whether a condition that always causes death is worse than a condition that causes a lifetime of severe disability (e.g. paralysis, blindness, intellectual disability). Metrics such as quality-adjusted life years (QALYs) have been proposed in the past to address these dilemmas by defining health as a function of both the length and quality of life [@prietoProblemsSolutionsCalculating2003]. With regards to the financial burden of diseases, in some situations phenotypes which require many years of expensive medical care may be prioritised over those that result in extremely early onset lethality and little opportunity for therapeutic intervention. Another factor that affects the viability of a therapeutic program is the speed, cost and other practical considerations of a clinical trial. For instance, measuring risk of ageing-related respiratory failure over a ten-year period may be impractical in some cases. However, testing for total reversal of an existing severe phenotype could potentially yield faster and more immediately impactful results. If performed in close collaboration with medical ethicists, governmental organisations, advocacy groups and patient families, such cost/benefit assessments could be aided by LLMs through the scalable gathering of relevant data. As AI capabilities continue to advance, the range of applications in which they can be used effectively will continue to grow.\n\nWhile our study demonstrates the feasibility and utility of AI-driven phenotypic annotation, several limitations must be acknowledged. The reliance on computational algorithms may introduce biases or inaccuracies inherent to the training data, necessitating ongoing validation and refinement of our approach. Additionally, our severity scoring system, while comprehensive, may not capture the full spectrum of phenotypic variability or account for complex gene-environment interactions. Future research should focus on further optimising AI-driven annotation methodologies, incorporating additional data modalities such as genomic and clinical data to enhance accuracy.\n\nIn conclusion, our study represents a significant step towards harnessing the power of AI to advance phenotypic annotation and severity assessment across all rare diseases. This resource aims to provide researchers and clinicians with actionable insights that can inform rare disease research and improve the lives of individuals affected by rare diseases.\n\n## Methods\n\n### Annotating the HPO using OpenAI GPT-4\n\nWe wrote a Python script to iteratively query GPT-4 via the OpenAI application programming interface (API). The ultimately yielded consistently formatted annotations for 17502 terms within the HPO. Our annotation framework was developed based on previously defined criteria for classifying disease severity [@Lazarin2014-rz]. We sought to evaluate whether each phenotype directly caused a given severity-related clinical characteristic, including: intellectual disability, death, impaired mobility, physical malformations, blindness, sensory impairments, immunodeficiency, cancer, reduced fertility, and/or had a congenital onset. Through prompt engineering we found that the performance of GPT-4 improved when we incorporated a scale associated with each effect and required a justification for each response. We asked how frequently the given phenotype directly causes each clinical characteristic - whether it never, rarely, often, or always occurred. Furthermore, our prompt design revealed that the optimal trade-off between the number of phenotypes and performance (in terms of producing the desired annotations, and adhering to the formatting requirements) was achieved when inputting no more than two or three phenotypes per prompt. An example prompt can be seen in @fig-occurrence. Only 2 phenotypes were included per prompt in order to 1) avoid exceeding per-query token limits, and 2) prevent the breakdown of GPT-4 performance due to long-form text input, which is presently a known limitation common to many LLMs including GPT-4 [@weiLongformFactualityLarge2024].\n\n### Calculating the true positive rate\n\n\n::: {#tbl-true-positives .cell tbl-cap='For each clinical characteristic, any terms that matched' tbl-colwidths='[40,40,20]'}\n\n```{.r .cell-code .hidden}\nqueries <- eval(formals(HPOExplorer::search_hpo)$queries)\nquery_hits_dt <- data.table(\n \"Clinical characteristic\"=stringr::str_to_sentence(gsub(\"_\",\" \",names(queries))),\n \"HPO queries\"=trimws(gsub(\"^\",\"\",\n sapply(queries, function(x){paste(shQuote(x),collapse=\"; \")}), \n fixed = TRUE)),\n \"True positive HPO IDs\"=sapply(query_hits[names(queries)], data.table::uniqueN)\n)\nknitr::kable(as.data.frame(query_hits_dt))\n```\n\n::: {.cell-output-display}\n\n\n|Clinical characteristic |HPO queries | True positive HPO IDs|\n|:-----------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------|---------------------:|\n|Intellectual disability |'Intellectual disability'; 'Mental deterioration' | 19|\n|Impaired mobility |'Gait disturbance'; 'Diminished movement'; ' mobility' | 319|\n|Physical malformations |'malformation' | 78|\n|Blindness |'blindness' | 1|\n|Sensory impairments |'Abnormality of vision'; 'Abnormality of the sense of smell'; 'Abnormality of taste sensation'; 'Somatic sensory dysfunction'; 'Hearing abnormality' | 252|\n|Immunodeficiency |'Immunodeficiency'; 'Impaired antigen-specific response' | 29|\n|Cancer |'Cancer'; 'malignant'; 'carcinoma' | 56|\n|Reduced fertility |'Decreased fertility'; 'Hypogonadism' | 9|\n\n\n:::\n:::\n\n\nA true positive rate was calculated as a measure of the recall of the GPT-4 annotations. This was achieved by identifying specific branches within the HPO that would contain phenotypes that would reliably indicate the occurrence of certain clinical characteristics, and using all descendants of this HPO branch as true positives. For example, all descendants of the terms 'Intellectual disability' (HP:0001249) or 'Mental deterioration' (HP:0001268) should be annotated as always or often causing intellectual disability (@tbl-true-positives).\n\n### Quantifying phenotypic severity\n\nThe GPT-4 generated annotation occurrences were converted into a semi-quantitative scoring system, with 'always' corresponding to 3, 'often' to 2, 'rarely' to 1, and 'never' to 0. These scores were then weighted by a severity metric on a scale of 1-5, with 5 representing the highest severity, as determined by the provided annotations (@tbl-metric-weights). Subsequently, the weighted scores underwent normalisation to yield a final quantitative severity score ranging from 0-100, with 100 signifying the maximum severity score attainable.\n\nLet us denote:\n\n- $p$ : a phenotype in the HPO.\n\n- $j$ : the identity of a given annotation metric (i.e. clinical characteristic, such as 'intellectual disability' or 'congenital onset').\n\n- $W_j$: the assigned weight of metric $j$.\n\n- $F_j$: the maximum possible value for metric $j$ (equivalent across all $j$).\n\n- $F_{pj}$ : the numerically encoded value of annotation metric $j$ for phenotype $p$.\n\n- $NSS_p$: the final composite severity score for phenotype $p$ after applying normalisation to align values to a 0-100 scale and ensure equivalent meaning regardless of which other phenotypes are being analysed in addition to $p$. This allows for direct comparability of severity scores across studies with different sets of phenotypes.\n\n::: {#eq-gpt .content-hidden unless-format=\"html\"}\n![](figures/eq5.png){height=\"300px\"}\n\nComputing normalised severity score from encoded GPT-4 annotations.\n:::\n\n\\\n\\\n\n::: {.content-visible unless-format=\"html\"}\n\n```{=tex}\n\\begin{equation*}\n \\eqnmarkbox[Brown4]{nss}{NSS_p}\n =\n \\frac{ \n \\eqnmarkbox[Goldenrod]{nss2}{\\sum_{j=1}^{m}} \n (\n \\eqnmarkbox[Goldenrod4]{nss3}{F_{pj}}\n \\times \n \\eqnmarkbox[IndianRed4]{nss4}{W_j}\n )\n }{\n \\eqnmarkbox[Tan]{nss5}{\\sum_{j=1}^{m}(\\max\\{F_j\\} \\times W_j)} \n } \\times 100\n\\end{equation*}\n\\annotate[yshift=1em]{left}{nss}{Normalised Severity Score \\\\for each phenotype}\n\\annotate[yshift=3em]{left}{nss2}{Sum of weighted annotation values \\\\across all metrics}\n\\annotate[yshift=3em]{right}{nss3}{Numerically encoded annotation value \\\\of metric $j$ for phenotype $p$}\n\\annotate[yshift=1em]{right}{nss4}{Weight for metric $j$} \n\\annotate[yshift=-1em]{below,right}{nss5}{Theoretical maximum severity score}\n```\n\n:::\n\n\\\n\n\n::: {#tbl-metric-weights .cell tbl-cap='Weighted scores for each clinical characteristic and GPT-4 response category.'}\n\n```{.r .cell-code .hidden}\n## Get weights from HPOExplorer::gpt_annot_codify function defaults\nargs <- formals(HPOExplorer::gpt_annot_codify)\ncode_dict <- eval(args$code_dict)|>sort(decreasing = TRUE)\nnames(code_dict) <- paste0(stringr::str_to_sentence(names(code_dict)),\n \" (\",code_dict,\")\")\nweights_dict <- eval(args$weights_dict)|>unlist()|>sort(decreasing = TRUE)\nnames(weights_dict) <- paste0(stringr::str_to_sentence(gsub(\"_\",\" \",names(weights_dict))),\n \" (\",weights_dict,\")\")\n## Create the outer product of the two weight vectors\ntbl_metric_weights <- as.data.table(outer(weights_dict,code_dict, \"*\"),\n keep.rownames = \"Clinical characteristic\")\n\nknitr::kable(as.data.frame(tbl_metric_weights))\n```\n\n::: {.cell-output-display}\n\n\n|Clinical characteristic | Always (3)| Often (2)| Rarely (1)| Never (0)|\n|:---------------------------|----------:|---------:|----------:|---------:|\n|Intellectual disability (5) | 15| 10| 5| 0|\n|Death (5) | 15| 10| 5| 0|\n|Impaired mobility (4) | 12| 8| 4| 0|\n|Blindness (4) | 12| 8| 4| 0|\n|Physical malformations (3) | 9| 6| 3| 0|\n|Sensory impairments (3) | 9| 6| 3| 0|\n|Immunodeficiency (3) | 9| 6| 3| 0|\n|Cancer (3) | 9| 6| 3| 0|\n|Reduced fertility (1) | 3| 2| 1| 0|\n|Congenital onset (1) | 3| 2| 1| 0|\n\n\n:::\n:::\n\n\n### Severity classes\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\ntiers_dict <- unlist(eval(formals(HPOExplorer::gpt_annot_class)$tiers_dict))\n```\n:::\n\n\nThe decision tree algorithm used in @Lazarin2014-rz was adapted here for use with the GPT-4 annotations. This algorithm first assigned each annotation metric to a tier, where Tier 1 indicated the most severe annotation metrics and Tier 4 indicated the least severe annotation metrics ('death'=1, 'intellectual disability'=1, 'impaired mobility'=2, 'physical malformations'=2, 'blindness'=3, 'sensory impairments'=3, 'immunodeficiency'=3, 'cancer'=3, 'reduced fertility'=4). If a phenotype often or always caused more than one Tier 1 annotation, it was assigned a severity class of \"Profound\". If the phenotype often or always caused only one Tier 1 annotation, it was assigned a severity class of \"Severe\". A \"Severe\" class assignment was also assigned if the phenotype often or always caused three or more Tier 2 and Tier3 annotations. If the phenotype often or always caused at least one Tier 2 annotation, it was assigned a severity class of \"Moderate\". All remaining phenotypes were was assigned a severity class of \"Mild\". In cases where the phenotype mapped to more than one class, only the most severe class was used. This procedure is implemented within the function `HPOExplorer::gpt_annot_class`.\n\n### Correlations between severity metrics\n\nTo assess the correlation structure between each severity metric, as well as between the composite severity score and each metric, we computed Pearson correlation coefficients for all pairwise combinations of these variables using the numerically encoded metric values. The correlation matrix was visualised using a heatmap, with the colour intensity representing the strength of the correlation (@fig-metric-corplot).\n\n## Data and code availability statement\n\nAll code and data used in this study are available on GitHub at:\n\n\n\nThe GPT-4 annotations for all HPO phenotypes are made available through the R function `HPOExplorer::gpt_annot_read` or in CSV format at:\n\n\n\nA fully reproducible version of this Quarto manuscript can be found at:\n\n\n\n## Acknowledgements\n\nWe would like to thank members of the Monarch Initiative for their insight and feedback throughout this project. In particular, Peter Robinson.\n\n### Funding\n\nThis work was supported by a UK Dementia Research Institute (UK DRI) Future Leaders Fellowship \\[MR/T04327X/1\\] and the UK DRI which receives its funding from UK DRI Ltd, funded by the UK Medical Research Council, Alzheimer’s Society and Alzheimer's Research UK.\n\n## References {.unnumbered}\n\n::: {#refs}\n:::\n\n\n{{< pagebreak >}}\n\n\n\n## Supplementary Materials\n\n### Supplementary Figures\n\n\n::: {#cell-fig-consist-vs-ontLvl .cell}\n\n```{.r .cell-code .hidden}\nconsist_vs_ontLvl$labels$caption <- NULL\nconsist_vs_ontLvl\n```\n\n::: {.cell-output-display}\n![Relationship between the consistency of GPT-4 annotations (using the stringent criterion) and the level of each phenotype within the HPO ontology (with the number of phenotypes in parentheses). Greater ontology levels (x-axis) indicate more specific phenotypes. The subtitle indicates summary statistics for the overall relationship between HPO level and the proportion of phenotypes that were annotated consistently. The p-values above each bar indicate whether the distribution of consistent/inconsistent annotations, within a given HPO level, significantly deviate from the expected null distribution.](manuscript_files/figure-html/fig-consist-vs-ontLvl-1.png){#fig-consist-vs-ontLvl width=1152}\n:::\n:::\n\n::: {#cell-fig-severity-histo .cell}\n\n```{.r .cell-code .hidden}\ngpt_annot_plot_out$gp3 +\n labs(x=\"Severity score\") \n```\n\n::: {.cell-output-display}\n![Distribution of the composite GPT-4 severity score of the severity scores for all HPO terms.](manuscript_files/figure-html/fig-severity-histo-1.png){#fig-severity-histo width=960}\n:::\n:::\n\n::: {#cell-fig-severity-boxplot .cell}\n\n```{.r .cell-code .hidden}\ngpt_annot_plot_out$gp2 +\n scale_fill_brewer(palette = \"GnBu\", direction = -1) +\n labs(y=\"Severity score\") \n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nScale for fill is already present.\nAdding another scale for fill, which will replace the existing scale.\n```\n\n\n:::\n\n::: {.cell-output-display}\n![Boxplot showing the relationship between composite severity score (y-axis) and the frequency response categories within each annotation type.](manuscript_files/figure-html/fig-severity-boxplot-1.png){#fig-severity-boxplot width=768}\n:::\n:::\n\n::: {#cell-fig-metric-corplot .cell}\n\n```{.r .cell-code .hidden}\ndiag(cor_metrics$P) <- 0\ncorrplot::corrplot(cor_metrics$r,\n method = c(\"circle\", \"square\", \"ellipse\", \"number\", \"shade\", \"color\", \"pie\")[2],\n tl.srt = 45,\n tl.col = \"grey20\",\n # insig='blank',\n addCoef.col ='grey20', number.cex = 0.8,\n order=\"hclust\",\n addCoefasPercent=TRUE,\n p.mat = cor_metrics$P)\n```\n\n::: {.cell-output-display}\n![Pearson correlations between each individual severity metric and the composite severity score ('severity_score_gpt').](manuscript_files/figure-html/fig-metric-corplot-1.png){#fig-metric-corplot width=768}\n:::\n:::\n\n::: {#cell-fig-severity-class .cell}\n\n```{.r .cell-code .hidden}\nfig_severity_class\n```\n\n::: {.cell-output-display}\n![Distribution of the composite GPT-4 severity score introduced in this paper (y-axis) by an approximation of the severity class system introduced @Lazarin2014-rz (x-axis). While these are different schemes for ranking phenotype severity, there is a strong correspondence between them (see summary statistics in subtitle). The sample size (number of phenotypes) is shown in parentheses along the x-axis.](manuscript_files/figure-html/fig-severity-class-1.png){#fig-severity-class width=768}\n:::\n:::\n\n{{< pagebreak >}}\n\n\n\n### Supplementary Tables\n\n\n::: {#tbl-fas .cell tbl-cap='Severity nnotations generated for GPT-4 annotations for the HPO phenotype \\'Fetal akinesia sequence\\' (HP:000198).' tbl-colwidths='[20,20,60]'}\n\n```{.r .cell-code .hidden}\nannot_cols <- setdiff(grep(\"justification\",names(gpt_annot), \n value = TRUE, invert = TRUE),\n c(\"hpo_name\",\"hpo_id\",\"pheno_count\"))\ntbl_fas <- gpt_annot[hpo_name=='Fetal akinesia sequence',]|>\n data.table::melt.data.table(id.vars = c(\"hpo_name\",\"hpo_id\"), \n measure.vars = list(\n Annotation=annot_cols,\n Justification=grep(\"justification\",names(gpt_annot), \n value = TRUE)\n )\n )\ntbl_fas[,\"Clinical characteristic\":=stringr::str_to_sentence(gsub(\"_\",\" \",annot_cols))]\nknitr::kable(\n as.data.frame(tbl_fas[,c(\"Clinical characteristic\",\"Annotation\",\"Justification\")])\n )\n```\n\n::: {.cell-output-display}\n\n\n|Clinical characteristic |Annotation |Justification |\n|:-----------------------|:----------|:------------------------------------------------------------------------------------------------------------------------------------------|\n|Intellectual disability |always |Fetal akinesia sequence typically results in severe neurodevelopmental impairment, including intellectual disability. |\n|Death |always |Fetal akinesia sequence is typically fatal in utero or shortly after birth. |\n|Impaired mobility |always |Fetal akinesia sequence results in severe physical impairment, including impaired mobility. |\n|Physical malformations |always |Fetal akinesia sequence is associated with multiple physical malformations. |\n|Blindness |often |Visual impairment is common in surviving individuals with fetal akinesia sequence due to neurodevelopmental impairment. |\n|Sensory impairments |always |Fetal akinesia sequence typically results in severe sensory impairment due to neurodevelopmental disruption. |\n|Immunodeficiency |rarely |While not a direct feature, some individuals with fetal akinesia sequence may have associated immune abnormalities. |\n|Cancer |never |Fetal akinesia sequence does not cause cancer. |\n|Reduced fertility |often |Given the severe physical impairments associated with fetal akinesia sequence, fertility is likely to be reduced in surviving individuals. |\n|Congenital onset |always |Fetal akinesia sequence is a congenital disorder. |\n\n\n:::\n:::\n", "supporting": [ "manuscript_files/figure-html" ], diff --git a/_freeze/manuscript/execute-results/tex.json b/_freeze/manuscript/execute-results/tex.json index ac41a56..15911da 100644 --- a/_freeze/manuscript/execute-results/tex.json +++ b/_freeze/manuscript/execute-results/tex.json @@ -1,8 +1,8 @@ { - "hash": "a212d6d1fa259f796df865245cbe1da1", + "hash": "35550d0037c03127098ecee7688cceba", "result": { "engine": "knitr", - "markdown": "---\ntitle: Harnessing AI to annotate the severity of all phenotypic abnormalities within the Human Phenotype Ontology\nauthor:\n - name: Kitty B Murphy\n orcid: 0000-0002-8669-3076\n corresponding: true\n email: kitty.murphy@ukdri.ac.uk\n roles:\n - Investigation\n - Project administration\n - Software\n - Visualization\n affiliations:\n - Department of Brain Sciences, Imperial College London, UK \n - UK Dementia Research Institute at Imperial College London, UK\n - name: Brian M Schilder\n orcid: 0000-0001-5949-2191\n corresponding: false\n email: brian_schilder@alumni.brown.edu\n roles: \n - Investigation\n - Project administration\n - Software\n - Visualization\n affiliations:\n - Department of Brain Sciences, Imperial College London, UK \n - UK Dementia Research Institute at Imperial College London, UK\n - name: Nathan G Skene\n orcid: 0000-0002-6807-3180\n email: n.skene@imperial.ac.uk\n corresponding: true\n roles: \n - Investigation\n - Project administration\n - Software\n - Visualization\n affiliations:\n - Department of Brain Sciences, Imperial College London, UK \n - UK Dementia Research Institute at Imperial College London, UK\nkeywords:\n - Ontology\n - Human Phenotype Ontology\n - Large Language Model\n - GPT-4\n - Artificial intelligence\n - Generative AI\n - Rare disease \n - Automation\n - Medicine\nbibliography: references.bib\ndate: last-modified\ncitation:\n container-title: medRxiv\n---\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nlibrary(dplyr)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n\nAttaching package: 'dplyr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:stats':\n\n filter, lag\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:base':\n\n intersect, setdiff, setequal, union\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nlibrary(ggplot2)\nlibrary(ggtext)\nlibrary(patchwork)\nlibrary(HPOExplorer)\nlibrary(KGExplorer)\nlibrary(data.table)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n\nAttaching package: 'data.table'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:dplyr':\n\n between, first, last\n```\n\n\n:::\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\n#### Load HPO data\ntag <- \"v2024-02-08\"\nsave_dir <- \"data\"\nkeep_descendants <- \"Phenotypic abnormality\"\np2g <- HPOExplorer::load_phenotype_to_genes(tag = tag,\n save_dir=save_dir)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nReading cached RDS file: phenotype_to_genes.txt\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n+ Version: v2024-02-08\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nhpo <- HPOExplorer::get_hpo(method=\"github\",\n tag=tag, \n save_dir=save_dir)\nhpo <- KGExplorer::filter_ontology(ont = hpo, \n keep_descendants = keep_descendants)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,548 terms remain after filtering.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n#### Read HPO GPT annotations \ngpt_annot <- HPOExplorer::gpt_annot_read(hpo = hpo)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nReading cached RDS file: phenotype_to_genes.txt\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n+ Version: v2024-02-08\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n492 phenotypes do not have matching HPO IDs.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nReading in GPT annotations for 16,648 phenotypes.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n#### Compute IDs counts\nids_matched <- intersect(c(hpo@terms,names(hpo@alternative_terms)), \n gpt_annot$hpo_id)\nnames_matched <- intersect(hpo@elementMetadata$name,\n trimws(gsub(\"obsolete\",\"\",gpt_annot$hpo_name, ignore.case = TRUE)))\n\nn_ids_hpo <- hpo@n_terms\nn_ids_gpt <- length(unique(fcoalesce(gpt_annot$hpo_name,gpt_annot$hpo_id)))\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nquery_hits <- HPOExplorer::search_hpo(search_cols = c(\"name\"),\n hpo = hpo)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nQuerying HPO for matching terms.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nNumber of phenotype hits per query group:\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n - intellectual_disability: 19\n - impaired_mobility: 319\n - physical_malformations: 78\n - blindness: 1\n - sensory_impairments: 252\n - immunodeficiency: 29\n - cancer: 56\n - reduced_fertility: 9\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n#### Run annotation checks\nchecks <- HPOExplorer::gpt_annot_check(annot = gpt_annot, \n query_hits = query_hits)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nWarning: The `facets` argument of `facet_grid()` is deprecated as of ggplot2 2.2.0.\ni Please use the `rows` argument instead.\ni The deprecated feature was likely used in the HPOExplorer package.\n Please report the issue at\n .\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n# checks$true_pos_rate\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nres_coded <- HPOExplorer::gpt_annot_codify(annot = gpt_annot)\nannot_melt <- HPOExplorer::gpt_annot_melt(res_coded = res_coded)\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\ngpt_annot_plot_out <- HPOExplorer::gpt_annot_plot(\n annot = gpt_annot[hpo_name!=keep_descendants],\n keep_descendants = keep_descendants, \n width = 10)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding level-2 ancestor to each HPO ID.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding ancestor metadata.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAncestor metadata already present. Use force_new=TRUE to overwrite.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,958 terms remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n166,610 associations remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nGetting absolute ontology level for 18,536 IDs.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding level-2 ancestor to each HPO ID.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding ancestor metadata.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAncestor metadata already present. Use force_new=TRUE to overwrite.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,958 terms remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n166,610 associations remain after filtering.\n```\n\n\n:::\n:::\n\n\n\n## Abstract\n\nThe Human Phenotype Ontology (HPO) has played a crucial role in defining, diagnosing, prognosing, and treating human diseases by providing a standardised framework for describing phenotypic abnormalities. However, documentation on the severity of each phenotype is currently very sparse, making systematic analyses and prioritisation of results challenging. With \\>17500 phenotypic abnormalities across \\>8600 rare diseases, manual curation of such phenotypic annotations by experts would be exceedingly labour-intensive and time-consuming. Leveraging advances in artificial intelligence, we employed the OpenAI GPT-4 large language model (LLM) to systematically annotate the severity of all phenotypic abnormalities in the HPO. First, we benchmarked the generative LLM annotations against ground-truth labels within the HPO (e.g. phenotypes in the 'Cancer' HPO branch were annotating as causing cancer by GPT-4). True positive recall rates across different annotations ranged from 89-100% (mean=96%), clearly demonstrating the ability of GPT-4 to automate the curation process with a high degree of fidelity. Using a novel approach, we developed a severity scoring system that incorporates both the nature of the phenotype outcome and the frequency of its occurrence. These severity metrics will enable efforts to systematically prioritise which human phenotypes are most detrimental to human health, and best targets for therapeutic intervention.\n\n## Introduction\n\nComprehensive annotation of phenotypic abnormalities is invaluable for defining, diagnosing, prognosing, and treating human disease. Since 2008, the Human Phenotype Ontology (HPO) has been instrumental to this, by providing a standardised database for the description and analysis of human phenotypes [@kohlerHumanPhenotypeOntology2021; @garganoHumanPhenotypeOntology2024]. Through developing open community resources, the depth and breadth of the HPO has continued to expand and there are now \\>17500 phenotypic abnormalities across \\>8600 diseases, described. In recent years, the HPO has expanded its disease annotations so that each HPO term can have metadata including typical age of onset and frequency. In addition, there are the *Clinical modifier* and *Clinical course* subontologies, which contains terms to describe factors including severity, triggers, mortality and progression, respectively. Describing the severity-related attributes of a disease is crucial for both research and clinical care of individuals with rare diseases. This includes enhancing diagnostic capabilities, as well as prioritising and guiding gene therapy trials.\n\nTo date, the HPO has largely relied on manual curation by experts including clinicians, clinical geneticists and researchers. Although this approach ensures the quality and accuracy of the ontology, it is time-consuming and labour-intensive. As a result, less than 1% of terms within the HPO have metadata pertaining to their features such as time course and severity. Artificial intelligence (AI) capabilities have advanced considerably in recent years, presenting new opportunities to integrate natural language processing technologies into assisting in the curation process. Specifically, there have recently been considerable advances in large language model (LLM) and their application to biomedical problems, in some cases performing as well or better than human clinicians on standardised medical exams and patient diagnosis tasks [@vanveenAdaptedLargeLanguage2024; @boltonBioMedLM7BParameter2024; @zhangBiomedGPTUnifiedGeneralist2023; @labrakBioMistralCollectionOpenSource2024; @guDomainSpecificLanguageModel2021; @singhalLargeLanguageModels2023; @shinBioMegatronLargerBiomedical2020; @chengExploringPotentialGPT42023; @singhalLargeLanguageModels2023; @oneilPhenomicsAssistantInterface2024; @luoBioGPTGenerativePretrained2022; @mcduffAccurateDifferentialDiagnosis2023; @singhalExpertLevelMedicalQuestion2023]. Recent work has demonstrated that the Generative Pre-trained Transformer 4 (GPT-4) foundation model [@openaiGPT4TechnicalReport2024], when combined with strategic prompt engineering, can outperform even specialist LLMs that are explicitly fine-tuned for biomedical tasks [@noriCanGeneralistFoundation2023]. In a landmark achievement, GPT-4 was the first LLM to surpass a score of 90% in the United States Medical Licensing Examination (USML) [@noriCanGeneralistFoundation2023].\n\nHere, we have used GPT-4 to systematically annotate the severity of 17502 / 17548 (99.7%) phenotypic abnormalities within the HPO. Our severity annotation framework was adapted from previously defined criteria developed through consultation with clinicians [@Lazarin2014-rz]. The authors consulted 192 healthcare professionals for their opinions on the relative severity of various clinical characteristics: they used this to create a system for categorising the severity of diseases. Briefly, each healthcare professional was sent a survey asking them to first rate how important a disease characteristic was for determining disease severity, and then to rate the severity of a set of given disease. Using the responses, the authors were able to categorise clinical characteristics into 4 'severity tiers'. While characteristics such as shortened lifespan in infancy and intellectual disability were identified as highly severe and placed into tier 1, sensory impairment and reduced lifespan were categorised as less severe and placed into tier 4. Standardised metrics of severity allow clinicians to quickly assess the urgency of treating a given phenotype, as well as prognosing what outcomes might be expected.\n\n793 phenotypes were annotated multiple times to evaluate the consistency of responses generated by GPT-4. For a subset of phenotypes with known expected annotations, true positive rates were calculated to assess recall. Additionally, based on the clinical characteristics and their occurrence, we have quantified the severity of each phenotype, providing an example of how these clinical characteristic annotations can be used to guide prioritisation of gene therapy trials. Ultimately, we hope that our resource will be of utility to those working in rare diseases, as well as the wider healthcare community.\n\n## Results\n\n### Annotating the HPO using GPT-4\n\n\n\n::: {#cell-fig-occurrence .cell}\n\n```{.r .cell-code .hidden}\n# subset to clinical characteristics \noccurr_df <- gpt_annot[,c(\"hpo_name\", \"intellectual_disability\", \"death\", \"impaired_mobility\", \"blindness\",\n \"sensory_impairments\", \"immunodeficiency\", \"cancer\", \"reduced_fertility\",\n \"congenital_onset\")]\n\ncols_of_interest <- names(occurr_df)[-1]\n\n# Create an empty dataframe to store the counts\ncount_df <- data.frame(matrix(0, nrow = length(cols_of_interest), ncol = 4))\ncolnames(count_df) <- c(\"always\", \"often\", \"rarely\", \"never\")\nrownames(count_df) <- cols_of_interest\n\n## Loop through each column of interest and count the occurrences of:\n## 'always', 'often', 'rarely', 'never'\nfor (col in cols_of_interest) {\n counts <- table(occurr_df[[col]])\n count_df[col, ] <- counts[match(colnames(count_df), names(counts))]\n}\n\ncount_df_long <- tidyr::gather(count_df,\n key = \"condition\",\n value = \"count\", \n always:never)\ncount_df_long$category <- rownames(count_df)\n\ncount_df_long$category <- gsub(\"_\", \" \", count_df_long$category)\ncount_df_long$condition <- factor(count_df_long$condition, \n levels=c(\"always\", \"often\", \"rarely\", \"never\"))\n\ncount_df_long <- count_df_long |>\n dplyr::group_by(category) |>\n dplyr::mutate(percentage = count / sum(count) * 100)\n\n# set annotation order for plots \nannotation_order <- c(\"death\", \"intellectual disability\", \"impaired mobility\", \"blindness\", \n \"congenital onset\", \"physical malformations\", \"sensory impairments\", \n \"immunodeficiency\", \"cancer\", \"reduced fertility\")\ncount_df_long$category <- factor(count_df_long$category, \n levels = annotation_order)\n \n\n# Load the prompt generation function \nsource(\"code/prompt_gen.R\")\nprompts <- prompt_gen_table(hpo = hpo)\ntxt_prompt <- prompts$prompt[1688]\nfor(x in prompts$terms[[1688]]){\n txt_prompt <- sub(x,paste0(\"*\",x,\"*\"),txt_prompt)\n}\nfor(x in c(\n eval(formals(prompt_gen_table)$effects),\n eval(formals(prompt_gen_table)$responses),\n \"justification\")){\n txt_prompt <- sub(x,paste0(\"**\",x,\"**\"),txt_prompt)\n}\n## Subplot a: Example prompt\nf1a <- ggplot() + \n labs(title=\"Example GPT-4 prompt\") +\n ggtext::geom_textbox(aes(x=.5,y=1),\n box.padding = margin(20, 10, 20, 10),\n box.margin = margin(0, 0, 0, 0),\n box.r = grid::unit(30, \"pt\"),\n width = unit(.8, \"npc\"),\n halign=.5,\n fill=\"grey90\",\n label=txt_prompt) +\n theme_void() +\n theme(plot.title = element_text(hjust=0.5))\n\n## Subplot b: Stacked bar plot of clinical characteristic occurrence.\nf1b <- ggplot(count_df_long, aes(x = category, y = count, fill = condition)) +\n geom_bar(stat = \"identity\") +\n labs(title = \"Clinical characteristic occurrence\",\n x = \"\", y = \"HPO phenotypes (n)\", fill = NULL) +\n theme_minimal() +\n theme(legend.position = \"right\", \n plot.title = element_text(hjust=0.5), \n axis.text.x = element_text(angle=45, hjust=1), \n ) +\n scale_fill_brewer(palette = \"GnBu\", direction = -1)\n\n(\n f1a| \n (f1b/plot_spacer() ) + plot_layout(heights = c(1, .1))\n) + \n patchwork::plot_layout(widths = c(2,1)) +\n patchwork::plot_annotation(tag_levels = letters) \n```\n\n::: {.cell-output-display}\n![GPT-4 was able to annotate all human phenotypes based on whether they are always/often/rarely/never associated with different clinical characteristics. **a**, An example of the prompt input given to to GPT-4. The phenotypes listed in the second to last sentence (*italicised*) were changed to allow all HPO phenotypes to be annotated. **b**, Stacked bar plot showing the proportion of the occurrence of each clinical characteristic across all annotated HPO phenotypes. The terms shown on the x-axis are the clinical characteristics for which GPT-4 was asked to determine whether each phenotype caused them.](manuscript_files/figure-pdf/fig-occurrence-1.pdf){#fig-occurrence fig-pos='H'}\n:::\n:::\n\n\n\nWe employed the OpenAI GPT-4 model with Python to annotate 17502 terms within the HPO (v2024-02-08) [@kohlerHumanPhenotypeOntology2021; @garganoHumanPhenotypeOntology2024]. Our annotation framework was developed based on previously defined criteria for classifying disease severity [@Lazarin2014-rz]. We sought to evaluate the impact of phenotypes on factors including intellectual disability, death, impaired mobility, physical malformations, blindness, sensory impairments, immunodeficiency, cancer, reduced fertility, and congenital onset. Through prompt design we found that the performance of GPT-4 improved when we incorporated a scale associated with each effect and required a justification for each response. For each effect, we asked about the likelihood of its occurrence - whether it never, rarely, often, or always occurred.\n\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nnever_thresh <- 50\nnever_dt <- subset(count_df_long, condition==\"never\" & percentage>=never_thresh)\nalways_death <- gpt_annot[,list(always_death=all(death==\"always\"),\n hpo_name=hpo_name[1]),\n by=\"hpo_id\"][always_death==TRUE,]\n```\n:::\n\n\n\nPhenotype outcome occurrence varied across annotation categories. \\>50% of phenotypes never caused blindness, sensory impairments, immunodeficiency, cancer, reduced fertility or intellectual disability. Only a minority of phenotypes (21.7%) never had a congenital onset, which is expected as rare disorders tend to be early onset genetic conditions [Fig. @fig-occurrence].\n\nLess than 1% of phenotype always directly resulted in death, such as 'Stillbirth', 'Anencephaly' and 'Bilateral lung agenesis'. Only 71 phenotypes were annotated as always causing death, while 9707 phenotypes were annotated as often or rarely causing death. 7880 phenotypes were annotated as never causing death. This included 34 unique forms of syndactyly, a non-lethal condition that causes fused or webbed fingers (occurring 1 in 1,200–15,000 live births). While not life-threatening itself, syndactyly is a symptom of genetic disorders that can cause life-threatening cardiovascular and neurodevelopmental defects, such as Apert Syndrome [@garagnaniSyndromesAssociatedSyndactyly2013]. This example highlights the ability of GPT-4 to successfully distinguish between phenotypes that directly cause lethality, and those that are often associated with diseases that cause lethality.\n\n### Annotation consistency and recall\n\nTo assess annotation consistency, 793 phenotypes underwent duplicate annotations. We employed two different metrics to determine the *consistency rate*. The first, less stringent metric, defined consistency as the duplicate annotations being either 'always' and 'often', or 'never' and 'rarely'. The second, more stringent metric, required exact agreement in annotation occurrences, e.g. 'always' and 'always'. For the less stringent metric, duplicated phenotypes were annotated consistently at a rate of at least 80%, and for the more stringent metric, the lowest consistency rate was 57% for congenital onset. An example of where annotations were inconsistent was for the HPO term 'Acute leukaemia'. One time, GPT-4 annotated it as often causing impaired mobility, giving the justification that 'weakness and fatigue from leukaemia and its treatment can impair mobility'. The other time, GPT-4 annotated it as rarely causing impaired mobility, giving the justification that 'acute leukaemia rarely impairs mobility directly'. Despite specifying in the prompt for GPT-4 not to take into consideration indirect effects, here is an example of where it failed to do so.\n\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\n# Define items to be checked\nitems <- c(\"consistency_count\", \"consistency_rate\",\n \"consistency_stringent_count\", \"consistency_stringent_rate\",\n \"true_pos_count\", \"true_pos_rate\")\nmetric_types <- c(\"Rate\", \"Count\")[1]\n\n# Get data frame with checks values\ncheck_df <- lapply(checks[items], data.table::as.data.table, keep.rownames = TRUE) |>\n data.table::rbindlist(idcol = \"metric\") |>\n data.table::setnames(c(\"metric\", \"annotation\", \"value\"))\n\ncheck_df$metric <- factor(check_df$metric,\n levels = items,\n ordered = TRUE)\n\ncheck_df$annotation <- factor(check_df$annotation,\n levels = unique(check_df$annotation),\n ordered = TRUE)\n\ncheck_df[, metric_type := ifelse(grepl(\"count\", metric),\n \"Count\", ifelse(grepl(\"rate\", metric), \"Rate\", NA))]\n\ncheck_df[, metric_category := gsub(\"_count|_rate\", \"\", metric)]\n\ncheck_df$metric_type <- factor(check_df$metric_type, ordered = TRUE)\n\ncheck_df <- check_df[annotation != \"pheno_count\"]\n\ncheck_df[, n := value[metric_type == \"Count\"],\n by = c(\"metric_category\", \"annotation\")]\n\ncheck_df$annotation <- gsub(\"_\", \" \", check_df$annotation)\nannotation_order <- unique(check_df$annotation)\ncheck_df$annotation <- factor(check_df$annotation, levels = annotation_order)\ncheck_df$metric_category <- gsub(\"_\", \" \", check_df$metric_category)\ncheck_df[metric_category==\"consistency\",metric_category:=\"consistency lenient\"]\n```\n:::\n\n::: {#cell-fig-checks .cell}\n\n```{.r .cell-code .hidden}\nlab_size <- 3\nconsistency_plot <- ggplot(check_df[metric_type %in% metric_types &\n grepl(\"consistency\",metric_category)],\n aes(x = annotation, y = value,\n fill = stringr::str_to_sentence(\n gsub(\"consistency \", \"\", metric_category)\n ),\n label = round(value, 2))) +\n geom_bar(stat = \"identity\",position = \"dodge\") +\n labs(title=\"Annotation consistency\",\n x = NULL, y = \"Mean consistency\", \n fill=NULL) +\n scale_fill_manual(values = c(\"#C3DAEAFF\", \"#ECE28BFF\")) +\n theme_bw() +\n theme(axis.text.x = element_text(angle = 45, hjust = 1),\n legend.position = \"top\", \n strip.background = element_rect(fill=\"white\"),\n plot.title = element_text(hjust = 0.5)) +\n geom_text(aes(x = 1, y = 1, label = paste0(\"n=\",n,\" phenotypes\")),\n size=lab_size,\n check_overlap=TRUE, hjust=0) +\n ## Compute the empirical probability of annotations being consistent by chance \n ## with 2 options and N duplicates\n geom_hline(yintercept = mean(1/2^checks$annot$pheno_count), \n color=\"dodgerblue\", linetype=\"dashed\")+\n ## Compute the empirical probability of annotations being consistent by chance \n ## with 4 options and N duplicates\n geom_hline(yintercept = mean(1/4^checks$annot$pheno_count), \n color=\"gold3\", linetype=\"dashed\")\n\nrecall_plot <- ggplot(check_df[metric_type %in% metric_types &\n metric_category %in% c(\"true pos\"), ],\n aes(x = annotation, y = value,\n fill = metric_category,\n label = n#paste0(\"n\\n=\\n\",n)\n )\n ) +\n geom_bar(stat = \"identity\", show.legend = TRUE) +\n theme_bw() +\n labs(x = NULL, y = \"Recall\") +\n ggtitle(\"True positive rate\") +\n scale_fill_manual(values = c(\"#B1D5BBFF\")) +\n theme(axis.text.x = element_text(angle = 45, hjust = 1),\n legend.position = \"none\", \n plot.title = element_text(hjust = 0.5)) +\n geom_label(fill = alpha(\"white\",1),\n size = lab_size)\n\nconsistency_plot + recall_plot + \n plot_layout(widths = c(1, 1)) +\n plot_annotation(tag_levels = 'a')\n```\n\n::: {.cell-output-display}\n![GPT-4 annotations are consistent and accurate across annotations. **a**, Barplot showing the annotation consistency within phenotypes that were annotated more than once. In the lenient metric, annotations were collapsed into two groups ('always'/'often' and 'never'/'rarely'). For a given clinical characteristic within a given phenotype, if an annotation was always within the same group it was considered consistent. In the stringent metric, all four annotation categories were considered to be different from one another. Thus, annotations were only defined as consistent if they were all identical. The blue dashed line indicates the probability of two annotations being consistent by chance in the lenient metric (~1/2). The gold dashed line is the probability of two annotations being consistent by chance in the stringent metric (~1/4). **b**, Bar plot of the true positive rate for each annotation. The labels above each bar indicate the number of phenotypes tested.](manuscript_files/figure-pdf/fig-checks-1.pdf){#fig-checks fig-pos='H'}\n:::\n:::\n\n\n\nIn order to evaluate the validity of the annotations, we calculated a true positive rate. This involved identifying specific branches within the HPO that would contain phenotypes that would reliably indicate the presence of certain conditions. For instance, the phenotypes 'Decreased fertility in females' and 'Decreased fertility in males' should often or always cause reduced fertility. We observed an encouraging true positive rate exceeding 88% across in every clinical characteristic and achieving perfect recall (100%) in 4/8 characteristics.\n\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nlowest_recall <- names(checks$true_pos_rate)[checks$true_pos_rate==min(checks$true_pos_rate)]\nlowest_recall_dt <- checks$annot[get(lowest_recall)==\"never\" & hpo_id %in% query_hits[[lowest_recall]]]\n```\n:::\n\n\n\nThe lowest true positive rate was observed for physical malformations, with 88.5% recall across 87 HPO phenotypes. Some cases in which the GPT-4 annotations disagreed with the HPO ground truth included: 'Angioma serpentinum', 'Nevus anemicus', 'Pulmonary arteriovenous fistulas'. In the case of 'Angioma serpentinum' it provided the justification that 'No known association with physical malformations'. In another instance, GPT-4 noted that 'Nevus anemicus' is 'Limited to hypopigmented skin patch; no other malformations.'. This indicates that while technically incorrect according to our predefined benchmarks, a case could in fact be made that mild skin conditions do not rise to the level of physical malformations.\n\nThis high level of recall underscores the robustness of our annotations and the reliability of the HPO framework in capturing clinically relevant phenotypic information. However, we acknowledge that the number of testable true positive phenotypes for some of these categories are low, especially 'blindness' for which there is only 1 phenotype in the HPO (after excluding terms pertaining to colour or night blindness). Furthermore, some of the true positive phenotypes are lexically similar to the name of the clinical characteristic itself. In these cases, annotating 'Severe intellectual disability' as always causing intellectual disability is a relatively trivial task. Nevertheless, even these scenarios provide a clear and interpretable benchmark for the model's performance. In addition, were numerous phenotypes with lexically non-obvious relationships to the clinical characteristic that were annotated correctly by GPT-4. For example, 'Molar tooth sign on MRI' was correctly annotated as causing intellectual disability.\n\n### Quantifying phenotypic severity\n\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nanenceph_dt <- res_coded$annot_weighted[hpo_name=='Anencephaly',]\n```\n:::\n\n\n\nQuantifying the severity of phenotypes can have important implications for diagnosis, prognosis, and treatment, for instance, guiding prioritisation of gene therapy trials for the most severe phenotypes. First, we created a dictionary to map each phenotype outcome (e.g. blindness) and its response (always, often, rarely, never) to numeric values from 0-3. Then, the phenotype outcome values were multiplied by their associated response values. Importantly, the values reflected the severity of each outcome based on both the outcome itself and the frequency of the response. For instance, a phenotype always causing death would have a higher multiplied value than a phenotype rarely causing reduced fertility (see @tbl-metric-weights). Next, we computed an average score for each phenotype by aggregating the multiplied values across all phenotype outcomes and then calculating the mean. This was then normalised by the theoretical maximum severity score, so that all phenotypes were on a 0-100 severity scale (where 100 is the most severe phenotype possible). This average normalised score represents the overall severity of the phenotype based on the severity of its individual outcomes.\n\nBased on these scores we evaluated the top 50 severe phenotypes. One of the most severe phenotype was 'Anencephaly' (HP:0002323) with a composite severity score of 52. Anencephaly is a birth defect where the baby is born without a portion of its brain and skull, often these babies are stillborn. In fact, many of the most severe phenotypes were related to developmental brain and neural tube defects. Comparison of the severity scores for each response, across the phenotype outcomes annotated, revealed consistent trends: as the response of the phenotype outcome increased (from never to always), the severity score also increased ([Supplementary Fig. @fig-severity-boxplot]). We also evaluated the severity score distribution by HPO branch and calculated the mean severity score using all phenotypes within each major HPO branch ([Fig. @fig-severity-histo]). The HPO branch with the greatest mean severity score was 'Abnormal cellular phenotype' (mean=19.6), followed by 'Neoplasm' (mean=17.2), which would include the highly ranked phenotypes seen in @fig-top-phenos.\n\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\n## code adapted from HPOExplorer::gpt_annot_plot()\n# get all descendants of the term phenotypic abnormality \nkeep_ont_levels=seq(3,17)\n \n#### Filter out ont levels ####\nannot_melt <- HPOExplorer::add_ancestor(annot_melt,\n keep_descendants = keep_descendants)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding level-2 ancestor to each HPO ID.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding ancestor metadata.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAncestor metadata already present. Use force_new=TRUE to overwrite.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,958 terms remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n166,620 associations remain after filtering.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\ndata.table::setorderv(annot_melt,\"severity_score_gpt\",-1)\n\nannot_melt <- HPOExplorer::add_ont_lvl(annot_melt, keep_ont_levels = keep_ont_levels)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nGetting absolute ontology level for 18,536 IDs.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nannot_melt$variable <- gsub(\"_\", \" \", annot_melt$variable)\n\n# get all unique phenotypes\ntotal_unique <- length(unique(annot_melt$hpo_id))\n\n# get the top N phenotypes\ntop_n <- 15\ndat_top <- annot_melt[hpo_id %in% unique(annot_melt$hpo_id)[seq(top_n)]]\n\n# Get the bottom N phenotypes\nbottom_n <- 15\ndat_bottom <- annot_melt[hpo_id %in% unique(annot_melt$hpo_id)[seq(total_unique - bottom_n + 1, total_unique)]]\n\n# Define the range for selecting phenotypes from the middle\nstart_index <- ceiling(total_unique / 2) \nend_index <- start_index + 12\n\n# Get phenotypes from the middle\ndat_middle <- annot_melt[hpo_id %in% unique(annot_melt$hpo_id)[seq(start_index, end_index)]]\n\n# define labels\ndat_top$position <- \"Top\"\ndat_middle$position <- \"Middle\"\ndat_bottom$position <- \"Bottom\"\n\ndat_all <- rbind(dat_top, dat_middle, dat_bottom)\ndat_all$position <- factor(dat_all$position, levels=unique(dat_all$position))\ndat_all$variable <- factor(dat_all$variable, levels = annotation_order)\n```\n:::\n\n::: {#cell-fig-top-phenos .cell}\n\n```{.r .cell-code .hidden}\np1 <- ggplot2::ggplot(data = dat_all,\n ggplot2::aes(x=variable, y=hpo_name, fill=value)) +\n ggplot2::geom_tile(colour = \"white\", lwd = 0.5, linetype =1) +\n ggplot2::scale_y_discrete(limits=rev) +\n scale_fill_brewer(palette = \"GnBu\", direction = -1) +\n ggplot2::theme_classic() +\n ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 45, hjust = 1),\n legend.position = 'right') +\n labs(x = \"Clinical characteristic\",\n y = \"HPO phenotype\",\n fill = \"Occurrence\") +\n ggplot2::facet_grid(position ~ ., scales = \"free_y\")\n\np2 <- ggplot2::ggplot(data = dat_all,\n ggplot2::aes(x=\"severity_score_gpt\", y=hpo_name,\n fill=severity_score_gpt)) +\n ggplot2::geom_tile() +\n ggplot2::scale_y_discrete(limits=rev) +\n scale_fill_gradientn(colours = colorspace::heat_hcl(7), trans = \"reverse\") +\n ggplot2::labs(x=NULL, y=NULL, fill = \"Severity\\nscore\") +\n ggplot2::theme_void() +\n guides(fill = guide_colorbar(reverse = TRUE)) +\n ggplot2::theme(axis.text.y = ggplot2::element_blank(),\n axis.ticks.y = ggplot2::element_blank(),\n legend.position = 'right')\n\np3 <- patchwork::wrap_plots(p1, p2, ncol = 2,\n widths = c(1,.2),\n guides = \"collect\")\n\nmethods::show(p3)\n```\n\n::: {.cell-output-display}\n![Quantifying the severity of HPO phenotype annotations highlights the most impactful conditions. Heatmap of the top (n = 15), mid-range (n = 15), and bottom (n = 15) HPO phenotypes based on severity score. Severity scores were calculated by multiplying the numeric values assigned to each clinical characteristic according to @tbl-metric-weights. The average normalised score, representing overall phenotype severity on a 0-100 scale, was calculated by aggregating the multiplied values and normalising by the theoretical maximum severity score. The x-axis is scaled by the severity of the clinical characterisation.](manuscript_files/figure-pdf/fig-top-phenos-1.pdf){#fig-top-phenos fig-pos='H'}\n:::\n:::\n\n\n\n## Discussion\n\nThe creation and annotation of biomedical knowledge has traditionally relied on manual or semi-manual curation by human experts [@putmanMonarchInitiative20242024; @ochoaOpenTargetsPlatform2021; @mungallMonarchInitiativeIntegrative2017a; @kohlerHumanPhenotypeOntology2021; @garganoHumanPhenotypeOntology2024]. Performing such manual curation and review tasks at scale is often infeasible for human biomedical experts given limited time and resources. LLMs have the capacity to effectively encode, retrieve, and synthesise vast amounts of diverse information in a highly scalable manner [@vanveenAdaptedLargeLanguage2024; @singhalLargeLanguageModels2023; @openaiGPT4TechnicalReport2024]. This makes them powerful tools that can be applied in a rapidly expanding variety of scenarios, including medical practice, research and data curation [@singhalLargeLanguageModels2023; @toroDynamicRetrievalAugmented2023; @panLargeLanguageModels2023; @oneilPhenomicsAssistantInterface2024; @caufieldStructuredPromptInterrogation2023].\n\nHere, we introduce a novel framework to leverage the current best-in-class LLM, GPT-4 [@openaiGPT4TechnicalReport2024], to systematically annotate the severity of 17502 phenotypic abnormalities within the HPO. By employing advanced AI capabilities, we have demonstrated the feasibility of automating this process, significantly enhancing efficiency without substantially compromising accuracy. Our validation approach yielded a high true positive rate exceeding 88% across the phenotypes tested. Furthermore, our approach can be readily adapted and scaled to accommodate the growing volume of phenotypic data.\n\nThroughout this study, we observed that GPT-4 was capable of reliably recovering deep semantic relationships from the medical domain, far beyond making superficial inferences based on lexical similarities. An excellent example of this is the phenotype 'Molar tooth sign on MRI' (HP:0002419; severity score=30), which GPT-4 annotated as causing intellectual disability. At first glance, we ourselves assumed this was a false positive as the term appeared to be related to dentition. However, upon further inspection we realised that molar tooth sign is in fact a pattern of abnormal brain morphology that happens to bear some resemblance to molar dentition when observed in radiological scans. This phenotype is a known sign of neurodevelopmental defects that can indeed cause severe intellectual disability [@gleesonMolarToothSign2004].\n\nIn addition to rapidly synthesising and summarising vast amounts of information, LLMs can also be steered to provide justifications for each particular response. This makes LLMs amenable to direct interrogation as a means of recovering explainability, especially when designed to retain information about previous requests and interactions as they use these to iteratively improve and update their predictions [@janikAspectsHumanMemory2024]. This represents a categorical advance over traditional natural language processing models based on more shallow forms of statistical or machine learning (e.g. Term Frequency-Inverse Document Frequency [@jonesStatisticalInterpretationTerm1972], Word2vec [@mikolovEfficientEstimationWord2013]) which lack the ability to provide chains of causal reasoning to justify their predictions. This highlights the fundamental trade-off between simpler models with high explainability (the ability humans to understand the inner workings of the model) but low interpretability (the ability of humans to trace the decision process of the model, analogous to human 'reasoning'), and deeper more complex models with low explainability but high interpretability [@marcinkevicsInterpretabilityExplainabilityMachine2023].\n\nA key contribution of our study is the introduction of a quantitative severity scoring system that integrates both the nature of the phenotype outcome and the frequency of its occurrence. By encoding the concept of severity in this way, we are able to prioritise phenotypes based on their impact on patients. The methodology allowed us to transition from low-throughput qualitative assessments of severity (e.g. @Lazarin2014-rz) to high-throughput quantitative assessments of severity. One of the most severe phenotypes in the HPO is 'Fetal akinesia sequence' (FAS; HP:0001989, severity score= 50.7), and extremely rare condition that is almost always lethal. FAS is a complex, multi-system phenotype that can be caused by at least 24 different genetic disorders. Despite the complex and heterogenous aetiology of this phenotype, GPT-4 was able to provide accurate annotations alongside explainable justifications for those annotations (see @tbl-fas). For example, this phenotype almost always results in death, either *in utero* or shortly after birth. Not only did GPT-4 correctly provide the annotation death as 'always', when asked whether FAS causes sensory impairments it provided the response 'always' with the justification 'Fetal akinesia sequence typically results in severe sensory impairment due to neurodevelopmental disruption.' Neurodevelopmental disruption is indeed a hallmark component of FAS (e.g. hydrocephalus, cerebellar hypoplasia) that causes severe impairments across multiple sensory systems [@chenPrenatalDiagnosisGenetic2012]. This demonstrates that GPT-4 was able to recover the correct chain of causality from phenotype to clinical outcome.\n\nOur findings highlight the potential of this next generation of natural language processing technologies in significantly contributing to the automation and refinement of data curation in biomedical research. These results have a large number of useful real-world applications, such as prioritising gene therapy candidates [@murphyIdentificationCellTypespecific2023] and guiding clinical decision-making in rare diseases. As the HPO continues to grow over time, this approach can easily be repeated to keep pace with the rapidly evolving biomedical landscape. Furthermore, this approach can be extended to produce different sets of annotations or be used with any other ontology. Additional use cases include gathering data on the prevalence of each phenotype to approximate their social and financial costs.\n\nOne key limitation of our study is the fact that we did not explicitly interrogate GPT-4 to assess how the availability of treatments affected the annotations it produced. For example, there are some very severe conditions for which highly effective treatments and early detection screens are widely available (e.g. syphilis, some forms of melanoma), thus rendering them fully treatable or even curable provided access to modern healthcare. It would therefore be useful to further interrogate GPT-4 to uncover how the availability of treatments influences its responses. Many of our findings here seem to indicate that GPT-4 does take into account quality of care to the extent that health services increase the likelihood of desired outcomes. For example, many of the cancer phenotypes are justified as always or often causing death unless detected and treated early in the disease course. On the other hand, some cancers are justified as rarely causing death if appropriate treatment is provided, which may not always be the case for individuals or populations with access to less access to quality healthcare services. Future efforts could more explicitly ask GPT-4 whether the phenotype would cause death with no or suboptimal treatment.\n\nIn addition to these technical challenges, there are multiple factors that need to be considered when trying to prioritise phenotypes for their suitability for gene therapy development. First, while we have attempted to formalise severity here, this is an inherently subjective concept that may vary considerably across different individuals and contexts. For instance, one could ask whether a condition that always causes death is worse than a condition that causes a lifetime of severe disability (e.g. paralysis, blindness, intellectual disability). Metrics such as quality-adjusted life years (QALYs) have been proposed in the past to address these dilemmas by defining health as a function of both the length and quality of life [@prietoProblemsSolutionsCalculating2003]. With regards to the financial burden of diseases, in some situations phenotypes which require many years of expensive medical care may be prioritised over those that result in extremely early onset lethality and little opportunity for therapeutic intervention. Another factor that affects the viability of a therapeutic program is the speed, cost and other practical considerations of a clinical trial. For instance, measuring risk of ageing-related respiratory failure over a ten-year period may be impractical in some cases. However, testing for total reversal of an existing severe phenotype could potentially yield faster and more immediately impactful results. If performed in close collaboration with medical ethicists, governmental organisations, advocacy groups and patient families, such cost/benefit assessments could be aided by LLMs through the scalable gathering of relevant data. As AI capabilities continue to advance, the range of applications in which they can be used effectively will continue to grow.\n\nWhile our study demonstrates the feasibility and utility of AI-driven phenotypic annotation, several limitations must be acknowledged. The reliance on computational algorithms may introduce biases or inaccuracies inherent to the training data, necessitating ongoing validation and refinement of our approach. Additionally, our severity scoring system, while comprehensive, may not capture the full spectrum of phenotypic variability or account for complex gene-environment interactions. Future research should focus on further optimising AI-driven annotation methodologies, incorporating additional data modalities such as genomic and clinical data to enhance accuracy.\n\nIn conclusion, our study represents a significant step towards harnessing the power of AI to advance phenotypic annotation and severity assessment across all rare diseases. This resource aims to provide researchers and clinicians with actionable insights that can inform rare disease research and improve the lives of individuals affected by rare diseases.\n\n## Methods\n\n### Annotating the HPO using OpenAI GPT-4\n\nWe wrote a Python script to iteratively query GPT-4 via the OpenAI application programming interface (API). The ultimately yielded consistently formatted annotations for 17502 terms within the HPO. Our annotation framework was developed based on previously defined criteria for classifying disease severity [@Lazarin2014-rz]. We sought to evaluate whether each phenotype directly caused a given severity-related clinical characteristic, including: intellectual disability, death, impaired mobility, physical malformations, blindness, sensory impairments, immunodeficiency, cancer, reduced fertility, and/or had a congenital onset. Through prompt engineering we found that the performance of GPT-4 improved when we incorporated a scale associated with each effect and required a justification for each response. We asked how frequently the given phenotype directly causes each clinical characteristic - whether it never, rarely, often, or always occurred. Furthermore, our prompt design revealed that the optimal trade-off between the number of phenotypes and performance (in terms of producing the desired annotations, and adhering to the formatting requirements) was achieved when inputting no more than two or three phenotypes per prompt. An example prompt can be seen in @fig-occurrence. Only 2 phenotypes were included per prompt in order to 1) avoid exceeding per-query token limits, and 2) prevent the breakdown of GPT-4 performance due to long-form text input, which is presently a known limitation common to many LLMs including GPT-4 [@weiLongformFactualityLarge2024].\n\n### Calculating the true positive rate\n\n\n\n::: {#tbl-true-positives .cell tbl-cap='For each clinical characteristic, any terms that matched'}\n\n```{.r .cell-code .hidden}\nqueries <- eval(formals(HPOExplorer::search_hpo)$queries)\nquery_hits_dt <- data.table(\n \"Clinical characteristic\"=stringr::str_to_sentence(gsub(\"_\",\" \",names(queries))),\n \"HPO queries\"=trimws(gsub(\"^\",\"\",sapply(queries, paste, collapse=\";
\"), fixed = TRUE)),\n \"True positive HPO IDs\"=sapply(query_hits[names(queries)], data.table::uniqueN)\n)\nknitr::kable(as.data.frame(query_hits_dt))\n```\n\n::: {.cell-output-display}\n\n\n|Clinical characteristic |HPO queries | True positive HPO IDs|\n|:-----------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------:|\n|Intellectual disability |Intellectual disability;
Mental deterioration | 19|\n|Impaired mobility |Gait disturbance;
Diminished movement;
mobility | 319|\n|Physical malformations |malformation | 78|\n|Blindness |blindness | 1|\n|Sensory impairments |Abnormality of vision;
Abnormality of the sense of smell;
Abnormality of taste sensation;
Somatic sensory dysfunction;
Hearing abnormality | 252|\n|Immunodeficiency |Immunodeficiency;
Impaired antigen-specific response | 29|\n|Cancer |Cancer;
malignant;
carcinoma | 56|\n|Reduced fertility |Decreased fertility;
Hypogonadism | 9|\n\n\n:::\n:::\n\n\n\nA true positive rate was calculated as a measure of the recall of the GPT-4 annotations. This was achieved by identifying specific branches within the HPO that would contain phenotypes that would reliably indicate the occurrence of certain clinical characteristics, and using all descendants of this HPO branch as true positives. For example, all descendants of the terms 'Intellectual disability' (HP:0001249) or 'Mental deterioration' (HP:0001268) should be annotated as always or often causing intellectual disability (@tbl-true-positives).\n\n### Quantifying phenotypic severity\n\nThe GPT-4 generated annotation occurrences were converted into a semi-quantitative scoring system, with 'always' corresponding to 3, 'often' to 2, 'rarely' to 1, and 'never' to 0. These scores were then weighted by a severity metric on a scale of 1-5, with 5 representing the highest severity, as determined by the provided annotations (@tbl-metric-weights). Subsequently, the weighted scores underwent normalisation to yield a final quantitative severity score ranging from 0-100, with 100 signifying the maximum severity score attainable.\n\nLet us denote:\n\n- $p$ : a phenotype in the HPO.\n\n- $j$ : the identity of a given annotation metric (i.e. clinical characteristic, such as 'intellectual disability' or 'congenital onset').\n\n- $W_j$: the assigned weight of metric $j$.\n\n- $F_j$: the maximum possible value for metric $j$ (equivalent across all $j$).\n\n- $F_{pj}$ : the numerically encoded value of annotation metric $j$ for phenotype $p$.\n\n- $NSS_p$: The final composite severity score for phenotype $p$ after applying normalisation to align values to a 0-100 scale and ensure equivalent meaning regardless of which other phenotypes are being analysed in addition to $p$. This allows for direct comparability of severity scores across studies with different sets of phenotypes.\n\n::: {#eq-gpt .content-hidden unless-format=\"html\"}\n![](figures/eq5.png){height=\"300px\"}\n\nComputing normalised severity score from encoded GPT-4 annotations.\n:::\n\n\\\n\\\n\n::: {.content-visible unless-format=\"html\"}\n\n\n```{=tex}\n\\begin{equation*}\n \\eqnmarkbox[Brown4]{nss}{NSS_p}\n =\n \\frac{ \n \\eqnmarkbox[Goldenrod]{nss2}{\\sum_{j=1}^{m}} \n (\n \\eqnmarkbox[Goldenrod4]{nss3}{F_{pj}}\n \\times \n \\eqnmarkbox[IndianRed4]{nss4}{W_j}\n )\n }{\n \\eqnmarkbox[Tan]{nss5}{\\sum_{j=1}^{m}(\\max\\{F_j\\} \\times W_j)} \n } \\times 100\n\\end{equation*}\n\\annotate[yshift=1em]{left}{nss}{Normalised Severity Score \\\\for each phenotype}\n\\annotate[yshift=3em]{left}{nss2}{Sum of weighted annotation values \\\\across all metrics}\n\\annotate[yshift=3em]{right}{nss3}{Numerically encoded annotation value \\\\of metric $j$ for phenotype $p$}\n\\annotate[yshift=1em]{right}{nss4}{Weight for metric $j$} \n\\annotate[yshift=-1em]{below,right}{nss5}{Theoretical maximum severity score}\n```\n\n\n:::\n\n\\\n\n\n\n::: {#tbl-metric-weights .cell tbl-cap='Weighted scores for each clinical characteristic and GPT-4 response category.'}\n\n```{.r .cell-code .hidden}\n## Get weights from HPOExplorer::gpt_annot_codify function defaults\nargs <- formals(HPOExplorer::gpt_annot_codify)\ncode_dict <- eval(args$code_dict)|>sort(decreasing = TRUE)\nnames(code_dict) <- paste0(stringr::str_to_sentence(names(code_dict)),\n \" (\",code_dict,\")\")\ntiers_dict <- eval(args$tiers_dict)|>unlist()|>sort(decreasing = TRUE)\nnames(tiers_dict) <- paste0(stringr::str_to_sentence(gsub(\"_\",\" \",names(tiers_dict))),\n \" (\",tiers_dict,\")\")\n## Create the outer product of the two weight vectors\ntbl_metric_weights <- as.data.table(outer(tiers_dict,code_dict, \"*\"),\n keep.rownames = \"Clinical characteristic\")\n\nknitr::kable(as.data.frame(tbl_metric_weights))\n```\n\n::: {.cell-output-display}\n\n\n|Clinical characteristic | Always (3)| Often (2)| Rarely (1)| Never (0)|\n|:---------------------------|----------:|---------:|----------:|---------:|\n|Intellectual disability (5) | 15| 10| 5| 0|\n|Death (5) | 15| 10| 5| 0|\n|Impaired mobility (4) | 12| 8| 4| 0|\n|Blindness (4) | 12| 8| 4| 0|\n|Physical malformations (3) | 9| 6| 3| 0|\n|Sensory impairments (3) | 9| 6| 3| 0|\n|Immunodeficiency (3) | 9| 6| 3| 0|\n|Cancer (3) | 9| 6| 3| 0|\n|Reduced fertility (1) | 3| 2| 1| 0|\n|Congenital onset (1) | 3| 2| 1| 0|\n\n\n:::\n:::\n\n\n\n## Data and code availability statement\n\nAll code and data used in this study are available on GitHub at:\n\n\n\nThe GPT-4 annotations for all HPO phenotypes are made available through the R function `HPOExplorer::gpt_annot_read` or in CSV format at:\n\n\n\nA fully reproducible version of this Quarto manuscript can be found at:\n\n\n\n## Acknowledgements\n\nWe would like to thank members of the Monarch Initiative for their insight and feedback throughout this project. In particular, Peter Robinson.\n\n### Funding\n\nThis work was supported by a UK Dementia Research Institute (UK DRI) Future Leaders Fellowship \\[MR/T04327X/1\\] and the UK DRI which receives its funding from UK DRI Ltd, funded by the UK Medical Research Council, Alzheimer’s Society and Alzheimer's Research UK.\n\n## References {.unnumbered}\n\n::: {#refs}\n:::\n\n\n\n{{< pagebreak >}}\n\n\n\n\n\n## Supplementary Materials\n\n### Supplementary Figures\n\n\n\n::: {#cell-fig-severity-histo .cell}\n\n```{.r .cell-code .hidden}\ngpt_annot_plot_out$gp3 +\n labs(x=\"Severity score\") \n```\n\n::: {.cell-output-display}\n![Distribution of the composite GPT-4 severity score of the severity scores for all HPO terms.](manuscript_files/figure-pdf/fig-severity-histo-1.pdf){#fig-severity-histo fig-pos='H'}\n:::\n:::\n\n::: {#cell-fig-severity-boxplot .cell}\n\n```{.r .cell-code .hidden}\ngpt_annot_plot_out$gp2 +\n scale_fill_brewer(palette = \"GnBu\", direction = -1) +\n labs(y=\"Severity score\") \n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nScale for fill is already present.\nAdding another scale for fill, which will replace the existing scale.\n```\n\n\n:::\n\n::: {.cell-output-display}\n![Boxplot showing the relationship between composite severity score (y-axis) and the frequency response categories within each annotation type.](manuscript_files/figure-pdf/fig-severity-boxplot-1.pdf){#fig-severity-boxplot fig-pos='H'}\n:::\n:::\n\n{{< pagebreak >}}\n\n\n\n\n\n### Supplementary Tables\n\n\n\n::: {#tbl-fas .cell tbl-cap='Severity nnotations generated for GPT-4 annotations for the HPO phenotype \\'Fetal akinesia sequence\\' (HP:000198).'}\n\n```{.r .cell-code .hidden}\nannot_cols <- setdiff(grep(\"justification\",names(gpt_annot), \n value = TRUE, invert = TRUE),\n c(\"hpo_name\",\"hpo_id\",\"pheno_count\"))\ntbl_fas <- gpt_annot[hpo_name=='Fetal akinesia sequence',]|>\n data.table::melt.data.table(id.vars = c(\"hpo_name\",\"hpo_id\"), \n measure.vars = list(\n Annotation=annot_cols,\n Justification=grep(\"justification\",names(gpt_annot), \n value = TRUE)\n )\n )\ntbl_fas[,\"Clinical characteristic\":=stringr::str_to_sentence(gsub(\"_\",\" \",annot_cols))]\nknitr::kable(\n as.data.frame(tbl_fas[,c(\"Clinical characteristic\",\"Annotation\",\"Justification\")])\n )\n```\n\n::: {.cell-output-display}\n\n\n|Clinical characteristic |Annotation |Justification |\n|:-----------------------|:----------|:------------------------------------------------------------------------------------------------------------------------------------------|\n|Intellectual disability |always |Fetal akinesia sequence typically results in severe neurodevelopmental impairment, including intellectual disability. |\n|Death |always |Fetal akinesia sequence is typically fatal in utero or shortly after birth. |\n|Impaired mobility |always |Fetal akinesia sequence results in severe physical impairment, including impaired mobility. |\n|Physical malformations |always |Fetal akinesia sequence is associated with multiple physical malformations. |\n|Blindness |often |Visual impairment is common in surviving individuals with fetal akinesia sequence due to neurodevelopmental impairment. |\n|Sensory impairments |always |Fetal akinesia sequence typically results in severe sensory impairment due to neurodevelopmental disruption. |\n|Immunodeficiency |rarely |While not a direct feature, some individuals with fetal akinesia sequence may have associated immune abnormalities. |\n|Cancer |never |Fetal akinesia sequence does not cause cancer. |\n|Reduced fertility |often |Given the severe physical impairments associated with fetal akinesia sequence, fertility is likely to be reduced in surviving individuals. |\n|Congenital onset |always |Fetal akinesia sequence is a congenital disorder. |\n\n\n:::\n:::\n", + "markdown": "---\ntitle: Harnessing AI to annotate the severity of all phenotypic abnormalities within the Human Phenotype Ontology\nauthor:\n - name: Kitty B Murphy\n orcid: 0000-0002-8669-3076\n corresponding: true\n email: kitty.murphy@ukdri.ac.uk\n roles:\n - Investigation\n - Project administration\n - Software\n - Visualization\n affiliations:\n - Department of Brain Sciences, Imperial College London, UK \n - UK Dementia Research Institute at Imperial College London, UK\n - name: Brian M Schilder\n orcid: 0000-0001-5949-2191\n corresponding: false\n email: brian_schilder@alumni.brown.edu\n roles: \n - Investigation\n - Project administration\n - Software\n - Visualization\n affiliations:\n - Department of Brain Sciences, Imperial College London, UK \n - UK Dementia Research Institute at Imperial College London, UK\n - name: Nathan G Skene\n orcid: 0000-0002-6807-3180\n email: n.skene@imperial.ac.uk\n corresponding: true\n roles: \n - Investigation\n - Project administration\n - Software\n - Visualization\n affiliations:\n - Department of Brain Sciences, Imperial College London, UK \n - UK Dementia Research Institute at Imperial College London, UK\nkeywords:\n - Ontology\n - Human Phenotype Ontology\n - Large Language Model\n - GPT-4\n - Artificial intelligence\n - Generative AI\n - Rare disease \n - Automation\n - Medicine\nbibliography: references.bib\ndate: last-modified\ncitation:\n container-title: medRxiv\n---\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nlibrary(dplyr)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n\nAttaching package: 'dplyr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:stats':\n\n filter, lag\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:base':\n\n intersect, setdiff, setequal, union\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nlibrary(ggplot2)\nlibrary(ggtext)\nlibrary(patchwork)\nlibrary(HPOExplorer)\nlibrary(KGExplorer)\nlibrary(data.table)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n\nAttaching package: 'data.table'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:dplyr':\n\n between, first, last\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nlibrary(Hmisc)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n\nAttaching package: 'Hmisc'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:dplyr':\n\n src, summarize\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nThe following objects are masked from 'package:base':\n\n format.pval, units\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nlibrary(corrplot)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\ncorrplot 0.92 loaded\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nlibrary(ggstatsplot)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nYou can cite this package as:\n Patil, I. (2021). Visualizations with statistical details: The 'ggstatsplot' approach.\n Journal of Open Source Software, 6(61), 3167, doi:10.21105/joss.03167\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\noptions(\"knitr.table.format\"=\"pipe\")\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\n#### Load HPO data\ntag <- \"v2024-02-08\"\nsave_dir <- \"data\"\nkeep_descendants <- \"Phenotypic abnormality\"\np2g <- HPOExplorer::load_phenotype_to_genes(tag = tag,\n save_dir=save_dir)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nReading cached RDS file: phenotype_to_genes.txt\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n+ Version: v2024-02-08\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nhpo <- HPOExplorer::get_hpo(method=\"github\",\n tag=tag, \n save_dir=save_dir)\nhpo <- KGExplorer::filter_ontology(ont = hpo, \n keep_descendants = keep_descendants)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,548 terms remain after filtering.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n#### Read HPO GPT annotations \ngpt_annot <- HPOExplorer::gpt_annot_read(hpo = hpo)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nReading cached RDS file: phenotype_to_genes.txt\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n+ Version: v2024-02-08\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n492 phenotypes do not have matching HPO IDs.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nReading in GPT annotations for 16,648 phenotypes.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n#### Compute IDs counts\nids_matched <- intersect(c(hpo@terms,names(hpo@alternative_terms)), \n gpt_annot$hpo_id)\nnames_matched <- intersect(hpo@elementMetadata$name,\n trimws(gsub(\"obsolete\",\"\",gpt_annot$hpo_name, ignore.case = TRUE)))\n\nn_ids_hpo <- hpo@n_terms\nn_ids_gpt <- length(unique(data.table::fcoalesce(gpt_annot$hpo_name,gpt_annot$hpo_id)))\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nquery_hits <- HPOExplorer::search_hpo(search_cols = c(\"name\"),\n hpo = hpo)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nQuerying HPO for matching terms.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nNumber of phenotype hits per query group:\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n - intellectual_disability: 19\n - impaired_mobility: 319\n - physical_malformations: 78\n - blindness: 1\n - sensory_impairments: 252\n - immunodeficiency: 29\n - cancer: 56\n - reduced_fertility: 9\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n#### Run annotation checks\nchecks <- HPOExplorer::gpt_annot_check(annot = gpt_annot, \n query_hits = query_hits)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nWarning: The `facets` argument of `facet_grid()` is deprecated as of ggplot2 2.2.0.\ni Please use the `rows` argument instead.\ni The deprecated feature was likely used in the HPOExplorer package.\n Please report the issue at\n .\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n# checks$true_pos_rate\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nres_coded <- HPOExplorer::gpt_annot_codify(annot = gpt_annot)\nannot_melt <- HPOExplorer::gpt_annot_melt(res_coded = res_coded)\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nres_class <- HPOExplorer::gpt_annot_class(annot_coded = res_coded$annot_coded)\nres_class <- merge(res_class,\n res_coded$annot_weighted[,c(\"hpo_name\",\"severity_score_gpt\")])\nfig_severity_class <- ggstatsplot::ggbetweenstats(res_class,\n x=\"severity_class\", y=\"severity_score_gpt\")\nfig_severity_class_dt <- MSTExplorer:::get_ggstatsplot_stats(fig_severity_class)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nFound more than one class \"atomicVector\" in cache; using the first, from namespace 'Matrix'\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAlso defined by 'Rmpfr'\n```\n\n\n:::\n:::\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\ngpt_annot_plot_out <- HPOExplorer::gpt_annot_plot(\n annot = gpt_annot[hpo_name!=keep_descendants],\n keep_descendants = keep_descendants, \n width = 10)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding level-2 ancestor to each HPO ID.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding ancestor metadata.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAncestor metadata already present. Use force_new=TRUE to overwrite.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,958 terms remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n166,610 associations remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nGetting absolute ontology level for 18,536 IDs.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding level-2 ancestor to each HPO ID.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding ancestor metadata.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAncestor metadata already present. Use force_new=TRUE to overwrite.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,958 terms remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n166,610 associations remain after filtering.\n```\n\n\n:::\n:::\n\n\n## Abstract\n\nThe Human Phenotype Ontology (HPO) has played a crucial role in defining, diagnosing, prognosing, and treating human diseases by providing a standardised framework for describing phenotypic abnormalities. However, documentation on the severity of each phenotype is currently very sparse, making systematic analyses and prioritisation of results challenging. With \\>17500 phenotypic abnormalities across \\>8600 rare diseases, manual curation of such phenotypic annotations by experts would be exceedingly labour-intensive and time-consuming. Leveraging advances in artificial intelligence, we employed the OpenAI GPT-4 large language model (LLM) to systematically annotate the severity of all phenotypic abnormalities in the HPO. First, we benchmarked the generative LLM annotations against ground-truth labels within the HPO (e.g. phenotypes in the 'Cancer' HPO branch were annotating as causing cancer by GPT-4). True positive recall rates across different annotations ranged from 89-100% (mean=96%), clearly demonstrating the ability of GPT-4 to automate the curation process with a high degree of fidelity. Using a novel approach, we developed a severity scoring system that incorporates both the nature of the phenotype outcome and the frequency of its occurrence. These severity metrics will enable efforts to systematically prioritise which human phenotypes are most detrimental to human health, and best targets for therapeutic intervention.\n\n## Introduction\n\nComprehensive annotation of phenotypic abnormalities is invaluable for defining, diagnosing, prognosing, and treating human disease. Since 2008, the Human Phenotype Ontology (HPO) has been instrumental to this, by providing a standardised database for the description and analysis of human phenotypes [@kohlerHumanPhenotypeOntology2021; @garganoHumanPhenotypeOntology2024]. Through developing open community resources, the depth and breadth of the HPO has continued to expand and there are now \\>17500 phenotypic abnormalities across \\>8600 diseases, described. In recent years, the HPO has expanded its disease annotations so that each HPO term can have metadata including typical age of onset and frequency. In addition, there are the *Clinical modifier* and *Clinical course* subontologies, which contains terms to describe factors including severity, triggers, mortality and progression, respectively. Describing the severity-related attributes of a disease is crucial for both research and clinical care of individuals with rare diseases. This includes enhancing diagnostic capabilities, as well as prioritising and guiding gene therapy trials.\n\nTo date, the HPO has largely relied on manual curation by experts including clinicians, clinical geneticists and researchers. Although this approach ensures the quality and accuracy of the ontology, it is time-consuming and labour-intensive. As a result, less than 1% of terms within the HPO have metadata pertaining to their features such as time course and severity. Artificial intelligence (AI) capabilities have advanced considerably in recent years, presenting new opportunities to integrate natural language processing technologies into assisting in the curation process. Specifically, there have recently been considerable advances in large language model (LLM) and their application to biomedical problems, in some cases performing as well or better than human clinicians on standardised medical exams and patient diagnosis tasks [@vanveenAdaptedLargeLanguage2024; @boltonBioMedLM7BParameter2024; @zhangBiomedGPTUnifiedGeneralist2023; @labrakBioMistralCollectionOpenSource2024; @guDomainSpecificLanguageModel2021; @singhalLargeLanguageModels2023; @shinBioMegatronLargerBiomedical2020; @chengExploringPotentialGPT42023; @singhalLargeLanguageModels2023; @oneilPhenomicsAssistantInterface2024; @luoBioGPTGenerativePretrained2022; @mcduffAccurateDifferentialDiagnosis2023; @singhalExpertLevelMedicalQuestion2023]. Recent work has demonstrated that the Generative Pre-trained Transformer 4 (GPT-4) foundation model [@openaiGPT4TechnicalReport2024], when combined with strategic prompt engineering, can outperform even specialist LLMs that are explicitly fine-tuned for biomedical tasks [@noriCanGeneralistFoundation2023]. In a landmark achievement, GPT-4 was the first LLM to surpass a score of 90% in the United States Medical Licensing Examination (USML) [@noriCanGeneralistFoundation2023].\n\nHere, we have used GPT-4 to systematically annotate the severity of 17502 / 17548 (99.7%) phenotypic abnormalities within the HPO. Our severity annotation framework was adapted from previously defined criteria developed through consultation with clinicians [@Lazarin2014-rz]. The authors consulted 192 healthcare professionals for their opinions on the relative severity of various clinical characteristics: they used this to create a system for categorising the severity of diseases. Briefly, each healthcare professional was sent a survey asking them to first rate how important a disease characteristic was for determining disease severity, and then to rate the severity of a set of given disease. Using the responses, the authors were able to categorise clinical characteristics into 4 'severity tiers'. While characteristics such as shortened lifespan in infancy and intellectual disability were identified as highly severe and placed into tier 1, sensory impairment and reduced lifespan were categorised as less severe and placed into tier 4. Standardised metrics of severity allow clinicians to quickly assess the urgency of treating a given phenotype, as well as prognosing what outcomes might be expected.\n\n793 phenotypes were annotated multiple times to evaluate the consistency of responses generated by GPT-4. For a subset of phenotypes with known expected annotations, true positive rates were calculated to assess recall. Additionally, based on the clinical characteristics and their occurrence, we have quantified the severity of each phenotype, providing an example of how these clinical characteristic annotations can be used to guide prioritisation of gene therapy trials. Ultimately, we hope that our resource will be of utility to those working in rare diseases, as well as the wider healthcare community.\n\n## Results\n\n### Annotating the HPO using GPT-4\n\n\n::: {#cell-fig-occurrence .cell}\n\n```{.r .cell-code .hidden}\n# subset to clinical characteristics \nannotation_order <- c(\"death\", \"intellectual disability\", \"impaired mobility\", \"blindness\", \n \"congenital onset\", \"physical malformations\", \"sensory impairments\", \n \"immunodeficiency\", \"cancer\", \"reduced fertility\")\noccurr_df <- gpt_annot[,c(\"hpo_name\",gsub(\" \", \"_\", annotation_order)),with=FALSE]\ncols_of_interest <- names(occurr_df)[-1]\n# Create an empty dataframe to store the counts\ncount_df <- data.frame(matrix(0, nrow = length(cols_of_interest), ncol = 4))\ncolnames(count_df) <- c(\"always\", \"often\", \"rarely\", \"never\")\nrownames(count_df) <- cols_of_interest\n\n## Loop through each column of interest and count the occurrences of:\n## 'always', 'often', 'rarely', 'never'\nfor (col in cols_of_interest) {\n counts <- table(occurr_df[[col]])\n count_df[col, ] <- counts[match(colnames(count_df), names(counts))]\n}\n\ncount_df_long <- tidyr::gather(count_df,\n key = \"condition\",\n value = \"count\", \n always:never)\ncount_df_long$category <- rownames(count_df)\n\ncount_df_long$category <- gsub(\"_\", \" \", count_df_long$category)\ncount_df_long$condition <- factor(count_df_long$condition, \n levels=c(\"always\", \"often\", \"rarely\", \"never\"))\n\ncount_df_long <- count_df_long |>\n dplyr::group_by(category) |>\n dplyr::mutate(percentage = count / sum(count) * 100)\n\n# set annotation order for plots \ncount_df_long$category <- factor(count_df_long$category, \n levels = annotation_order)\n \n\n# Load the prompt generation function \nsource(\"code/prompt_gen.R\")\nprompts <- prompt_gen_table(hpo = hpo)\ntxt_prompt <- prompts$prompt[1688]\nfor(x in prompts$terms[[1688]]){\n txt_prompt <- sub(x,paste0(\"*\",x,\"*\"),txt_prompt)\n}\nfor(x in c(\n eval(formals(prompt_gen_table)$effects),\n eval(formals(prompt_gen_table)$responses),\n \"justification\")){\n txt_prompt <- sub(x,paste0(\"**\",x,\"**\"),txt_prompt)\n}\n## Subplot a: Example prompt\nf1a <- ggplot() + \n labs(title=\"Example GPT-4 prompt\") +\n ggtext::geom_textbox(aes(x=.5,y=.7),\n box.padding = margin(20, 10, 20, 10),\n box.margin = margin(0, 0, 0, 0),\n box.r = grid::unit(30, \"pt\"),\n width = unit(.8, \"npc\"),\n size=3,\n halign=.5,\n fill=\"grey90\",\n label=txt_prompt) +\n ylim(c(0,1)) +\n theme_void() +\n theme(plot.title = element_text(hjust=0.5))\n\n## Subplot b: Stacked bar plot of clinical characteristic occurrence.\nf1b <- ggplot(count_df_long, aes(x = category, y = count, fill = condition)) +\n geom_bar(stat = \"identity\") +\n labs(title = \"Clinical characteristic occurrence\",\n x = NULL, y = \"HPO phenotypes (n)\", fill = NULL) +\n theme_minimal() +\n theme(legend.position = \"right\", \n plot.title = element_text(hjust=0.5, vjust=-1), \n axis.text.x = element_text(angle=45, hjust=1), \n ) +\n scale_fill_brewer(palette = \"GnBu\", direction = -1)\n\n(\n f1a| \n (f1b/plot_spacer() ) + plot_layout(heights = c(1, .1))\n) + \n patchwork::plot_layout(widths = c(1,1)) +\n patchwork::plot_annotation(tag_levels = letters) \n```\n\n::: {.cell-output-display}\n![GPT-4 was able to annotate all human phenotypes based on whether they are always/often/rarely/never associated with different clinical characteristics. **a**, An example of the prompt input given to to GPT-4. The phenotypes listed in the second to last sentence (*italicised*) were changed to allow all HPO phenotypes to be annotated. **b**, Stacked bar plot showing the proportion of the occurrence of each clinical characteristic across all annotated HPO phenotypes. The terms shown on the x-axis are the clinical characteristics for which GPT-4 was asked to determine whether each phenotype caused them.](manuscript_files/figure-pdf/fig-occurrence-1.pdf){#fig-occurrence fig-pos='H'}\n:::\n:::\n\n\nWe employed the OpenAI GPT-4 model with Python to annotate 17502 terms within the HPO (v2024-02-08) [@kohlerHumanPhenotypeOntology2021; @garganoHumanPhenotypeOntology2024]. Our annotation framework was developed based on previously defined criteria for classifying disease severity [@Lazarin2014-rz]. We sought to evaluate the impact of phenotypes on factors including intellectual disability, death, impaired mobility, physical malformations, blindness, sensory impairments, immunodeficiency, cancer, reduced fertility, and congenital onset. Through prompt design we found that the performance of GPT-4 improved when we incorporated a scale associated with each effect and required a justification for each response. For each effect, we asked about the likelihood of its occurrence - whether it never, rarely, often, or always occurred.\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nnever_thresh <- 50\nnever_dt <- subset(count_df_long, condition==\"never\" & percentage>=never_thresh)\nalways_death <- gpt_annot[,list(always_death=all(death==\"always\"),\n hpo_name=hpo_name[1]),\n by=\"hpo_id\"][always_death==TRUE,]\n```\n:::\n\n\nPhenotype outcome occurrence varied across annotation categories. \\>50% of phenotypes never caused blindness, sensory impairments, immunodeficiency, cancer, reduced fertility or intellectual disability. Only a minority of phenotypes (21.7%) never had a congenital onset, which is expected as rare disorders tend to be early onset genetic conditions [Fig. @fig-occurrence].\n\nLess than 1% of phenotype always directly resulted in death, such as 'Stillbirth', 'Anencephaly' and 'Bilateral lung agenesis'. Only 71 phenotypes were annotated as always causing death, while 9707 phenotypes were annotated as often or rarely causing death. 7880 phenotypes were annotated as never causing death. This included 34 unique forms of syndactyly, a non-lethal condition that causes fused or webbed fingers (occurring 1 in 1,200–15,000 live births). While not life-threatening itself, syndactyly is a symptom of genetic disorders that can cause life-threatening cardiovascular and neurodevelopmental defects, such as Apert Syndrome [@garagnaniSyndromesAssociatedSyndactyly2013]. This example highlights the ability of GPT-4 to successfully distinguish between phenotypes that directly cause lethality, and those that are often associated with diseases that cause lethality.\n\n### Annotation consistency and recall\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nconsist <- checks$annot_stringent_mean\nconsist <- HPOExplorer::add_hpo_id(consist, hpo = hpo)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nconsist <- HPOExplorer::add_ont_lvl(consist, hpo = hpo)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nGetting absolute ontology level for 17,548 IDs.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\n# consist_vs_lvl <- Hmisc::rcorr(as.matrix(consist[!is.na(ontLvl)][,-c(\"hpo_name\",\"hpo_id\")]))\n# corrplot::corrplot(consist_vs_lvl$r)\n\nconsist_vs_ontLvl <- consist|>\n data.table::melt.data.table(id.vars = c(\"hpo_name\",\"hpo_id\",\"ontLvl\"), \n variable.name = \"metric\", \n value.name = \"Consistent\\n(stringent)\")|>\n # ggstatsplot::ggscatterstats(x = \"consistency\",\n # y = \"ontLvl\")\n # ggstatsplot::ggbetweenstats(x = \"consistency\", \n # y = \"ontLvl\", type = \"parametric\")\n ggstatsplot::ggbarstats(x = \"Consistent\\n(stringent)\", \n y = \"ontLvl\") +\n ggplot2::labs(title = \"Consistency of GPT-4 annotations by HPO level\")\nconsist_vs_ontLvl_dt <- MSTExplorer:::get_ggstatsplot_stats(consist_vs_ontLvl)\n```\n:::\n\n\nTo assess annotation consistency, 793 we queried GPT-4 with a subset of the HPO phenotypes multiple times. We employed two different metrics to determine the *consistency rate*. The first, less stringent metric, defined consistency as the duplicate annotations being either 'always' and 'often', or 'never' and 'rarely'. The second, more stringent metric, required exact agreement in annotation occurrences, e.g. 'always' and 'always'. For the less stringent metric, duplicated phenotypes were annotated consistently at a rate of at least 80%, and for the more stringent metric, the lowest consistency rate was 57% for congenital onset. An example of where annotations were inconsistent was for the HPO term 'Acute leukaemia'. One time, GPT-4 annotated it as often causing impaired mobility, giving the justification that 'weakness and fatigue from leukaemia and its treatment can impair mobility'. The other time, GPT-4 annotated it as rarely causing impaired mobility, giving the justification that 'acute leukaemia rarely impairs mobility directly'. Despite specifying in the prompt for GPT-4 not to take into consideration indirect effects, this is an example of where it failed to do so.\n\nWe also reasoned that GPT-4 would be better able to give consistent answers for more specific phenotypes lower in the ontology, as they are more likely to have a single cause. We found that the stringent consistency rate did indeed significantly improve with greater HPO ontology depth ($X_{Pearson}^2$=22.17, $\\hat{V}_{Cramer}$=0.03, p=0.05). See @fig-consist-vs-ontLvl for a visual representation of this relationship.\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\n# Define items to be checked\nitems <- c(\"consistency_count\", \"consistency_rate\",\n \"consistency_stringent_count\", \"consistency_stringent_rate\",\n \"true_pos_count\", \"true_pos_rate\")\nmetric_types <- c(\"Rate\", \"Count\")[1]\n\n# Get data frame with checks values\ncheck_df <- lapply(checks[items], data.table::as.data.table, keep.rownames = TRUE) |>\n data.table::rbindlist(idcol = \"metric\") |>\n data.table::setnames(c(\"metric\", \"annotation\", \"value\"))\n\ncheck_df$metric <- factor(check_df$metric,\n levels = items,\n ordered = TRUE)\n\ncheck_df$annotation <- factor(check_df$annotation,\n levels = unique(check_df$annotation),\n ordered = TRUE)\n\ncheck_df[, metric_type := ifelse(grepl(\"count\", metric),\n \"Count\", ifelse(grepl(\"rate\", metric), \"Rate\", NA))]\n\ncheck_df[, metric_category := gsub(\"_count|_rate\", \"\", metric)]\n\ncheck_df$metric_type <- factor(check_df$metric_type, ordered = TRUE)\n\ncheck_df <- check_df[annotation != \"pheno_count\"]\n\ncheck_df[, n := value[metric_type == \"Count\"],\n by = c(\"metric_category\", \"annotation\")]\n\ncheck_df$annotation <- gsub(\"_\", \" \", check_df$annotation)\nannotation_order <- unique(check_df$annotation)\ncheck_df$annotation <- factor(check_df$annotation, levels = annotation_order)\ncheck_df$metric_category <- gsub(\"_\", \" \", check_df$metric_category)\ncheck_df[metric_category==\"consistency\",metric_category:=\"consistency lenient\"]\n```\n:::\n\n::: {#cell-fig-checks .cell}\n\n```{.r .cell-code .hidden}\nlab_size <- 3\nconsistency_plot <- ggplot(check_df[metric_type %in% metric_types &\n grepl(\"consistency\",metric_category)],\n aes(x = annotation, y = value,\n fill = stringr::str_to_sentence(\n gsub(\"consistency \", \"\", metric_category)\n ),\n label = round(value, 2))) +\n geom_bar(stat = \"identity\",position = \"dodge\") +\n labs(title=\"Annotation consistency\",\n x = NULL, y = \"Mean consistency\", \n fill=NULL) +\n scale_fill_manual(values = c(\"#C3DAEAFF\", \"#ECE28BFF\")) +\n theme_bw() +\n theme(axis.text.x = element_text(angle = 45, hjust = 1),\n legend.position = \"top\", \n strip.background = element_rect(fill=\"white\"),\n plot.title = element_text(hjust = 0.5)) +\n geom_text(aes(x = 1, y = 1, label = paste0(\"n=\",n,\" phenotypes\")),\n size=lab_size,\n check_overlap=TRUE, hjust=0) +\n ## Compute the empirical probability of annotations being consistent by chance \n ## with 2 options and N duplicates\n geom_hline(yintercept = mean(1/2^checks$annot$pheno_count), \n color=\"dodgerblue\", linetype=\"dashed\")+\n ## Compute the empirical probability of annotations being consistent by chance \n ## with 4 options and N duplicates\n geom_hline(yintercept = mean(1/4^checks$annot$pheno_count), \n color=\"gold3\", linetype=\"dashed\")\n\nrecall_plot <- ggplot(check_df[metric_type %in% metric_types &\n metric_category %in% c(\"true pos\"), ],\n aes(x = annotation, y = value,\n fill = metric_category,\n label = n#paste0(\"n\\n=\\n\",n)\n )\n ) +\n geom_bar(stat = \"identity\", show.legend = TRUE) +\n theme_bw() +\n labs(x = NULL, y = \"Recall\") +\n ggtitle(\"True positive rate\") +\n scale_fill_manual(values = c(\"#B1D5BBFF\")) +\n theme(axis.text.x = element_text(angle = 45, hjust = 1),\n legend.position = \"none\", \n plot.title = element_text(hjust = 0.5)) +\n geom_label(fill = alpha(\"white\",1),\n size = lab_size)\n\nconsistency_plot + recall_plot + \n plot_layout(widths = c(1, 1)) +\n plot_annotation(tag_levels = 'a')\n```\n\n::: {.cell-output-display}\n![GPT-4 annotations are consistent and accurate across annotations. **a**, Barplot showing the annotation consistency within phenotypes that were annotated more than once. In the lenient metric, annotations were collapsed into two groups ('always'/'often' and 'never'/'rarely'). For a given clinical characteristic within a given phenotype, if an annotation was always within the same group it was considered consistent. In the stringent metric, all four annotation categories were considered to be different from one another. Thus, annotations were only defined as consistent if they were all identical. The blue dashed line indicates the probability of two annotations being consistent by chance in the lenient metric (~1/2). The gold dashed line is the probability of two annotations being consistent by chance in the stringent metric (~1/4). **b**, Bar plot of the true positive rate for each annotation. The labels above each bar indicate the number of phenotypes tested.](manuscript_files/figure-pdf/fig-checks-1.pdf){#fig-checks fig-pos='H'}\n:::\n:::\n\n\nIn order to evaluate the validity of the annotations, we calculated a true positive rate. This involved identifying specific branches within the HPO that would contain phenotypes that would reliably indicate the presence of certain conditions. For instance, the phenotypes 'Decreased fertility in females' and 'Decreased fertility in males' should often or always cause reduced fertility. We observed an encouraging true positive rate exceeding 88% across in every clinical characteristic and achieving perfect recall (100%) in 4/8 characteristics.\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nlowest_recall <- names(checks$true_pos_rate)[checks$true_pos_rate==min(checks$true_pos_rate)]\nlowest_recall_dt <- checks$annot[get(lowest_recall)==\"never\" & hpo_id %in% query_hits[[lowest_recall]]]\n```\n:::\n\n\nThe lowest true positive rate was observed for physical malformations, with 88.5% recall across 87 HPO phenotypes. Some cases in which the GPT-4 annotations disagreed with the HPO ground truth included: 'Angioma serpentinum', 'Nevus anemicus', 'Pulmonary arteriovenous fistulas'. In the case of 'Angioma serpentinum' it provided the justification that 'No known association with physical malformations'. In another instance, GPT-4 noted that 'Nevus anemicus' is 'Limited to hypopigmented skin patch; no other malformations.'. This indicates that while technically incorrect according to our predefined benchmarks, a case could in fact be made that mild skin conditions do not rise to the level of physical malformations.\n\nThis high level of recall underscores the robustness of our annotations and the reliability of the HPO framework in capturing clinically relevant phenotypic information. However, we acknowledge that the number of testable true positive phenotypes for some of these categories are low, especially 'blindness' for which there is only 1 phenotype in the HPO (after excluding terms pertaining to colour or night blindness). Furthermore, some of the true positive phenotypes are lexically similar to the name of the clinical characteristic itself. In these cases, annotating 'Severe intellectual disability' as always causing intellectual disability is a relatively trivial task. Nevertheless, even these scenarios provide a clear and interpretable benchmark for the model's performance. In addition, were numerous phenotypes with lexically non-obvious relationships to the clinical characteristic that were annotated correctly by GPT-4. For example, 'Molar tooth sign on MRI' was correctly annotated as causing intellectual disability.\n\n### Quantifying phenotypic severity\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\nanenceph_dt <- res_coded$annot_weighted[hpo_name=='Anencephaly',]\n```\n:::\n\n\nQuantifying the severity of phenotypes can have important implications for diagnosis, prognosis, and treatment, for instance, guiding prioritisation of gene therapy trials for the most severe phenotypes. First, we created a dictionary to map each phenotype outcome (e.g. blindness) and its response (always, often, rarely, never) to numeric values from 0-3. Then, the phenotype outcome values were multiplied by their associated response values. Importantly, the values reflected the severity of each outcome based on both the outcome itself and the frequency of the response. For instance, a phenotype always causing death would have a higher multiplied value than a phenotype rarely causing reduced fertility (see @tbl-metric-weights). Next, we computed an average score for each phenotype by aggregating the multiplied values across all phenotype outcomes and then calculating the mean. This was then normalised by the theoretical maximum severity score, so that all phenotypes were on a 0-100 severity scale (where 100 is the most severe phenotype possible). This average normalised score represents the overall severity of the phenotype based on the severity of its individual outcomes.\n\nBased on these scores we evaluated the top 50 severe phenotypes. One of the most severe phenotype was 'Anencephaly' (HP:0002323) with a composite severity score of 52. Anencephaly is a birth defect where the baby is born without a portion of its brain and skull, often these babies are stillborn. In fact, many of the most severe phenotypes were related to developmental brain and neural tube defects. Comparison of the severity scores for each response, across the phenotype outcomes annotated, revealed consistent trends: as the response of the phenotype outcome increased (from never to always), the severity score also increased ([Supplementary Fig. @fig-severity-boxplot]). We also evaluated the severity score distribution by HPO branch and calculated the mean severity score using all phenotypes within each major HPO branch ([Fig. @fig-severity-histo]). The HPO branch with the greatest mean severity score was 'Abnormal cellular phenotype' (mean=19.6), followed by 'Neoplasm' (mean=17.2), which would include the highly ranked phenotypes seen in @fig-top-phenos.\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\n## code adapted from HPOExplorer::gpt_annot_plot()\n# get all descendants of the term phenotypic abnormality \nkeep_ont_levels=seq(3,17)\n#### Filter out ont levels ####\nannot_melt <- HPOExplorer::add_ancestor(annot_melt,\n keep_descendants = keep_descendants)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding level-2 ancestor to each HPO ID.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAdding ancestor metadata.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nAncestor metadata already present. Use force_new=TRUE to overwrite.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nTranslating ontology terms to ids.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nKeeping descendants of 1 term(s).\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n17,958 terms remain after filtering.\n```\n\n\n:::\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\n166,620 associations remain after filtering.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\ndata.table::setorderv(annot_melt,\"severity_score_gpt\",-1)\n\nannot_melt <- HPOExplorer::add_ont_lvl(annot_melt, keep_ont_levels = keep_ont_levels)\n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nGetting absolute ontology level for 18,536 IDs.\n```\n\n\n:::\n\n```{.r .cell-code .hidden}\nannot_melt$variable <- gsub(\"_\", \" \", annot_melt$variable)\n\n# get all unique phenotypes\ntotal_unique <- length(unique(annot_melt$hpo_id))\n\n# get the top N phenotypes\ntop_n <- 15\ndat_top <- annot_melt[hpo_id %in% unique(annot_melt$hpo_id)[seq(top_n)]]\n\n# Get the bottom N phenotypes\nbottom_n <- 15\ndat_bottom <- annot_melt[hpo_id %in% unique(annot_melt$hpo_id)[seq(total_unique - bottom_n + 1, total_unique)]]\n\n# Define the range for selecting phenotypes from the middle\nstart_index <- ceiling(total_unique / 2) \nend_index <- start_index + 12\n\n# Get phenotypes from the middle\ndat_middle <- annot_melt[hpo_id %in% unique(annot_melt$hpo_id)[seq(start_index, end_index)]]\n\n# define labels\ndat_top$position <- \"Top\"\ndat_middle$position <- \"Middle\"\ndat_bottom$position <- \"Bottom\"\n\ndat_all <- rbind(dat_top, dat_middle, dat_bottom)\ndat_all$position <- factor(dat_all$position, levels=unique(dat_all$position))\ndat_all$variable <- factor(dat_all$variable, levels = annotation_order)\n```\n:::\n\n::: {#cell-fig-top-phenos .cell}\n\n```{.r .cell-code .hidden}\np1 <- ggplot2::ggplot(data = dat_all,\n ggplot2::aes(x=variable, y=hpo_name, fill=value)) +\n ggplot2::geom_tile(colour = \"white\", lwd = 0.5, linetype =1) +\n ggplot2::scale_y_discrete(limits=rev) +\n scale_fill_brewer(palette = \"GnBu\", direction = -1) +\n ggplot2::theme_classic() +\n ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 45, hjust = 1),\n legend.position = 'right') +\n labs(x = \"Clinical characteristic\",\n y = \"HPO phenotype\",\n fill = \"Occurrence\") +\n ggplot2::facet_grid(position ~ ., scales = \"free_y\")\n\np2 <- ggplot2::ggplot(data = dat_all,\n ggplot2::aes(x=\"severity_score_gpt\", y=hpo_name,\n fill=severity_score_gpt)) +\n ggplot2::geom_tile() +\n ggplot2::scale_y_discrete(limits=rev) +\n scale_fill_gradientn(colours = colorspace::heat_hcl(7), trans = \"reverse\") +\n ggplot2::labs(x=NULL, y=NULL, fill = \"Severity\\nscore\") +\n ggplot2::theme_void() +\n guides(fill = guide_colorbar(reverse = TRUE)) +\n ggplot2::theme(axis.text.y = ggplot2::element_blank(),\n axis.ticks.y = ggplot2::element_blank(),\n legend.position = 'right')\n\np3 <- patchwork::wrap_plots(p1, p2, ncol = 2,\n widths = c(1,.2),\n guides = \"collect\")\n\nmethods::show(p3)\n```\n\n::: {.cell-output-display}\n![Quantifying the severity of HPO phenotype annotations highlights the most impactful conditions. Heatmap of the top (n = 15), mid-range (n = 15), and bottom (n = 15) HPO phenotypes based on severity score. Severity scores were calculated by multiplying the numeric values assigned to each clinical characteristic according to @tbl-metric-weights. The average normalised score, representing overall phenotype severity on a 0-100 scale, was calculated by aggregating the multiplied values and normalising by the theoretical maximum severity score. The x-axis is scaled by the severity of the clinical characterisation.](manuscript_files/figure-pdf/fig-top-phenos-1.pdf){#fig-top-phenos fig-pos='H'}\n:::\n:::\n\n\n### Severity classes\n\nWhile the continuous severity score is a helpful metric, there may be some use cases where a categorical classification of severity is more immediately useful. In work by @Lazarin2014-rz, the authors defined severity classed using a simple decision tree based on the individual severity annotations. We approximated this approach using our GPT-4 annotations. This categorical approach showed a strong degree of positive correspondence with the continuous severity score ($\\hat{\\omega_{p}^2}$=0.87, p<2.2e-308). In other words, severity score increased with severity class level (mild < moderate < severe < profound) as expected. The distribution of severity classes is shown in @fig-severity-class. \n\n\n### Correlations between severity metrics\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\ncor_metrics <- Hmisc::rcorr(as.matrix(res_coded$annot_weighted[,-c(\"hpo_id\",\"hpo_name\")]))\ncor_composite <- sort(cor_metrics$r[\"severity_score_gpt\",], decreasing = TRUE)[-1]\n```\n:::\n\n\nWe found that some severity metrics were correlated with one another, with a mean Pearson correlation of 0.2 across all individual metrics (see @fig-metric-corplot). In particular, blindness and sensory impairment were highly correlated with one another (r=0.62, p=0). Some metrics drove the composite severity score more than other, which is a reflection of both our per-metric weighting scheme, response type frequencies, and the correlation structure between metrics. Overall, impaired mobility seemed to be the strongest driver of the composite severity score with a Pearson correlation of 0.6138757, followed by intellectual disability (r=0.6) and sensory impairments (r=0.54). \n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\n### Correlation with QALY\nihme <- data.table::fread(\"~/Downloads/IHME-GBD_2019_DATA-e678e00e-1/IHME-GBD_2019_DATA-e678e00e-1.csv\")\nihme[,nm:=tolower(cause_name)]\n\nres_coded$annot_weighted[,nm:=tolower(hpo_name)]\nihme_merged <- merge(data.table::dcast.data.table(ihme, \n formula = \"nm~measure_name+metric_name\", \n value.var = \"val\",\n fun.aggregate = mean, na.rm=TRUE), \n res_coded$annot_weighted)\nmetric_cols <- list(\n IHME=grep(paste(paste0(\"_\",\n \"Percent\",\n # unique(ihme$metric_name)[1],\n \"$\"),collapse = \"|\"),names(ihme_merged), value = TRUE),\n GPT=setdiff(names(res_coded$annot_weighted),c(\"hpo_id\",\"hpo_name\",\"nm\"))\n)\n\nXcor <- cor(ihme_merged[,unlist(metric_cols),with=FALSE], use=\"complete.obs\")\nheatmaply::heatmaply(Xcor[metric_cols$IHME,metric_cols$GPT])\n```\n:::\n\n\n\n## Discussion\n\nThe creation and annotation of biomedical knowledge has traditionally relied on manual or semi-manual curation by human experts [@putmanMonarchInitiative20242024; @ochoaOpenTargetsPlatform2021; @mungallMonarchInitiativeIntegrative2017a; @kohlerHumanPhenotypeOntology2021; @garganoHumanPhenotypeOntology2024]. Performing such manual curation and review tasks at scale is often infeasible for human biomedical experts given limited time and resources. LLMs have the capacity to effectively encode, retrieve, and synthesise vast amounts of diverse information in a highly scalable manner [@vanveenAdaptedLargeLanguage2024; @singhalLargeLanguageModels2023; @openaiGPT4TechnicalReport2024]. This makes them powerful tools that can be applied in a rapidly expanding variety of scenarios, including medical practice, research and data curation [@singhalLargeLanguageModels2023; @toroDynamicRetrievalAugmented2023; @panLargeLanguageModels2023; @oneilPhenomicsAssistantInterface2024; @caufieldStructuredPromptInterrogation2023].\n\nHere, we introduce a novel framework to leverage the current best-in-class LLM, GPT-4 [@openaiGPT4TechnicalReport2024], to systematically annotate the severity of 17502 phenotypic abnormalities within the HPO. By employing advanced AI capabilities, we have demonstrated the feasibility of automating this process, significantly enhancing efficiency without substantially compromising accuracy. Our validation approach yielded a high true positive rate exceeding 88% across the phenotypes tested. Furthermore, our approach can be readily adapted and scaled to accommodate the growing volume of phenotypic data.\n\nThroughout this study, we observed that GPT-4 was capable of reliably recovering deep semantic relationships from the medical domain, far beyond making superficial inferences based on lexical similarities. An excellent example of this is the phenotype 'Molar tooth sign on MRI' (HP:0002419; severity score=30), which GPT-4 annotated as causing intellectual disability. At first glance, we ourselves assumed this was a false positive as the term appeared to be related to dentition. However, upon further inspection we realised that molar tooth sign is in fact a pattern of abnormal brain morphology that happens to bear some resemblance to molar dentition when observed in radiological scans. This phenotype is a known sign of neurodevelopmental defects that can indeed cause severe intellectual disability [@gleesonMolarToothSign2004].\n\nIn addition to rapidly synthesising and summarising vast amounts of information, LLMs can also be steered to provide justifications for each particular response. This makes LLMs amenable to direct interrogation as a means of recovering explainability, especially when designed to retain information about previous requests and interactions as they use these to iteratively improve and update their predictions [@janikAspectsHumanMemory2024]. This represents a categorical advance over traditional natural language processing models based on more shallow forms of statistical or machine learning (e.g. Term Frequency-Inverse Document Frequency [@jonesStatisticalInterpretationTerm1972], Word2vec [@mikolovEfficientEstimationWord2013]) which lack the ability to provide chains of causal reasoning to justify their predictions. This highlights the fundamental trade-off between simpler models with high explainability (the ability humans to understand the inner workings of the model) but low interpretability (the ability of humans to trace the decision process of the model, analogous to human 'reasoning'), and deeper more complex models with low explainability but high interpretability [@marcinkevicsInterpretabilityExplainabilityMachine2023].\n\nA key contribution of our study is the introduction of a quantitative severity scoring system that integrates both the nature of the phenotype outcome and the frequency of its occurrence. By encoding the concept of severity in this way, we are able to prioritise phenotypes based on their impact on patients. The methodology allowed us to transition from low-throughput qualitative assessments of severity (e.g. @Lazarin2014-rz) to high-throughput quantitative assessments of severity. One of the most severe phenotypes in the HPO is 'Fetal akinesia sequence' (FAS; HP:0001989, severity score= 50.7), and extremely rare condition that is almost always lethal. FAS is a complex, multi-system phenotype that can be caused by at least 24 different genetic disorders. Despite the complex and heterogeneous aetiology of this phenotype, GPT-4 was able to provide accurate annotations alongside explainable justifications for those annotations (see @tbl-fas). For example, this phenotype almost always results in death, either *in utero* or shortly after birth. Not only did GPT-4 correctly provide the annotation death as 'always', when asked whether FAS causes sensory impairments it provided the response 'always' with the justification 'Fetal akinesia sequence typically results in severe sensory impairment due to neurodevelopmental disruption.' Neurodevelopmental disruption is indeed a hallmark component of FAS (e.g. hydrocephalus, cerebellar hypoplasia) that causes severe impairments across multiple sensory systems [@chenPrenatalDiagnosisGenetic2012]. This demonstrates that GPT-4 was able to recover the correct chain of causality from phenotype to clinical outcome.\n\nOur findings highlight the potential of this next generation of natural language processing technologies in significantly contributing to the automation and refinement of data curation in biomedical research. These results have a large number of useful real-world applications, such as prioritising gene therapy candidates [@murphyIdentificationCellTypespecific2023] and guiding clinical decision-making in rare diseases. As the HPO continues to grow over time, this approach can easily be repeated to keep pace with the rapidly evolving biomedical landscape. Furthermore, this approach can be extended to produce different sets of annotations or be used with any other ontology. Additional use cases include gathering data on the prevalence of each phenotype to approximate their social and financial costs.\n\nOne key limitation of our study is the fact that we did not explicitly interrogate GPT-4 to assess how the availability of treatments affected the annotations it produced. For example, there are some very severe conditions for which highly effective treatments and early detection screens are widely available (e.g. syphilis, some forms of melanoma), thus rendering them fully treatable or even curable provided access to modern healthcare. It would therefore be useful to further interrogate GPT-4 to uncover how the availability of treatments influences its responses. Many of our findings here seem to indicate that GPT-4 does take into account quality of care to the extent that health services increase the likelihood of desired outcomes. For example, many of the cancer phenotypes are justified as always or often causing death unless detected and treated early in the disease course. On the other hand, some cancers are justified as rarely causing death if appropriate treatment is provided, which may not always be the case for individuals or populations with access to less access to quality healthcare services. Future efforts could more explicitly ask GPT-4 whether the phenotype would cause death with no or suboptimal treatment.\n\nIn addition to these technical challenges, there are multiple factors that need to be considered when trying to prioritise phenotypes for their suitability for gene therapy development. First, while we have attempted to formalise severity here, this is an inherently subjective concept that may vary considerably across different individuals and contexts. For instance, one could ask whether a condition that always causes death is worse than a condition that causes a lifetime of severe disability (e.g. paralysis, blindness, intellectual disability). Metrics such as quality-adjusted life years (QALYs) have been proposed in the past to address these dilemmas by defining health as a function of both the length and quality of life [@prietoProblemsSolutionsCalculating2003]. With regards to the financial burden of diseases, in some situations phenotypes which require many years of expensive medical care may be prioritised over those that result in extremely early onset lethality and little opportunity for therapeutic intervention. Another factor that affects the viability of a therapeutic program is the speed, cost and other practical considerations of a clinical trial. For instance, measuring risk of ageing-related respiratory failure over a ten-year period may be impractical in some cases. However, testing for total reversal of an existing severe phenotype could potentially yield faster and more immediately impactful results. If performed in close collaboration with medical ethicists, governmental organisations, advocacy groups and patient families, such cost/benefit assessments could be aided by LLMs through the scalable gathering of relevant data. As AI capabilities continue to advance, the range of applications in which they can be used effectively will continue to grow.\n\nWhile our study demonstrates the feasibility and utility of AI-driven phenotypic annotation, several limitations must be acknowledged. The reliance on computational algorithms may introduce biases or inaccuracies inherent to the training data, necessitating ongoing validation and refinement of our approach. Additionally, our severity scoring system, while comprehensive, may not capture the full spectrum of phenotypic variability or account for complex gene-environment interactions. Future research should focus on further optimising AI-driven annotation methodologies, incorporating additional data modalities such as genomic and clinical data to enhance accuracy.\n\nIn conclusion, our study represents a significant step towards harnessing the power of AI to advance phenotypic annotation and severity assessment across all rare diseases. This resource aims to provide researchers and clinicians with actionable insights that can inform rare disease research and improve the lives of individuals affected by rare diseases.\n\n## Methods\n\n### Annotating the HPO using OpenAI GPT-4\n\nWe wrote a Python script to iteratively query GPT-4 via the OpenAI application programming interface (API). The ultimately yielded consistently formatted annotations for 17502 terms within the HPO. Our annotation framework was developed based on previously defined criteria for classifying disease severity [@Lazarin2014-rz]. We sought to evaluate whether each phenotype directly caused a given severity-related clinical characteristic, including: intellectual disability, death, impaired mobility, physical malformations, blindness, sensory impairments, immunodeficiency, cancer, reduced fertility, and/or had a congenital onset. Through prompt engineering we found that the performance of GPT-4 improved when we incorporated a scale associated with each effect and required a justification for each response. We asked how frequently the given phenotype directly causes each clinical characteristic - whether it never, rarely, often, or always occurred. Furthermore, our prompt design revealed that the optimal trade-off between the number of phenotypes and performance (in terms of producing the desired annotations, and adhering to the formatting requirements) was achieved when inputting no more than two or three phenotypes per prompt. An example prompt can be seen in @fig-occurrence. Only 2 phenotypes were included per prompt in order to 1) avoid exceeding per-query token limits, and 2) prevent the breakdown of GPT-4 performance due to long-form text input, which is presently a known limitation common to many LLMs including GPT-4 [@weiLongformFactualityLarge2024].\n\n### Calculating the true positive rate\n\n\n::: {#tbl-true-positives .cell tbl-cap='For each clinical characteristic, any terms that matched' tbl-colwidths='[40,40,20]'}\n\n```{.r .cell-code .hidden}\nqueries <- eval(formals(HPOExplorer::search_hpo)$queries)\nquery_hits_dt <- data.table(\n \"Clinical characteristic\"=stringr::str_to_sentence(gsub(\"_\",\" \",names(queries))),\n \"HPO queries\"=trimws(gsub(\"^\",\"\",\n sapply(queries, function(x){paste(shQuote(x),collapse=\"; \")}), \n fixed = TRUE)),\n \"True positive HPO IDs\"=sapply(query_hits[names(queries)], data.table::uniqueN)\n)\nknitr::kable(as.data.frame(query_hits_dt))\n```\n\n::: {.cell-output-display}\n\n\n|Clinical characteristic |HPO queries | True positive HPO IDs|\n|:-----------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------|---------------------:|\n|Intellectual disability |'Intellectual disability'; 'Mental deterioration' | 19|\n|Impaired mobility |'Gait disturbance'; 'Diminished movement'; ' mobility' | 319|\n|Physical malformations |'malformation' | 78|\n|Blindness |'blindness' | 1|\n|Sensory impairments |'Abnormality of vision'; 'Abnormality of the sense of smell'; 'Abnormality of taste sensation'; 'Somatic sensory dysfunction'; 'Hearing abnormality' | 252|\n|Immunodeficiency |'Immunodeficiency'; 'Impaired antigen-specific response' | 29|\n|Cancer |'Cancer'; 'malignant'; 'carcinoma' | 56|\n|Reduced fertility |'Decreased fertility'; 'Hypogonadism' | 9|\n\n\n:::\n:::\n\n\nA true positive rate was calculated as a measure of the recall of the GPT-4 annotations. This was achieved by identifying specific branches within the HPO that would contain phenotypes that would reliably indicate the occurrence of certain clinical characteristics, and using all descendants of this HPO branch as true positives. For example, all descendants of the terms 'Intellectual disability' (HP:0001249) or 'Mental deterioration' (HP:0001268) should be annotated as always or often causing intellectual disability (@tbl-true-positives).\n\n### Quantifying phenotypic severity\n\nThe GPT-4 generated annotation occurrences were converted into a semi-quantitative scoring system, with 'always' corresponding to 3, 'often' to 2, 'rarely' to 1, and 'never' to 0. These scores were then weighted by a severity metric on a scale of 1-5, with 5 representing the highest severity, as determined by the provided annotations (@tbl-metric-weights). Subsequently, the weighted scores underwent normalisation to yield a final quantitative severity score ranging from 0-100, with 100 signifying the maximum severity score attainable.\n\nLet us denote:\n\n- $p$ : a phenotype in the HPO.\n\n- $j$ : the identity of a given annotation metric (i.e. clinical characteristic, such as 'intellectual disability' or 'congenital onset').\n\n- $W_j$: the assigned weight of metric $j$.\n\n- $F_j$: the maximum possible value for metric $j$ (equivalent across all $j$).\n\n- $F_{pj}$ : the numerically encoded value of annotation metric $j$ for phenotype $p$.\n\n- $NSS_p$: the final composite severity score for phenotype $p$ after applying normalisation to align values to a 0-100 scale and ensure equivalent meaning regardless of which other phenotypes are being analysed in addition to $p$. This allows for direct comparability of severity scores across studies with different sets of phenotypes.\n\n::: {#eq-gpt .content-hidden unless-format=\"html\"}\n![](figures/eq5.png){height=\"300px\"}\n\nComputing normalised severity score from encoded GPT-4 annotations.\n:::\n\n\\\n\\\n\n::: {.content-visible unless-format=\"html\"}\n\n```{=tex}\n\\begin{equation*}\n \\eqnmarkbox[Brown4]{nss}{NSS_p}\n =\n \\frac{ \n \\eqnmarkbox[Goldenrod]{nss2}{\\sum_{j=1}^{m}} \n (\n \\eqnmarkbox[Goldenrod4]{nss3}{F_{pj}}\n \\times \n \\eqnmarkbox[IndianRed4]{nss4}{W_j}\n )\n }{\n \\eqnmarkbox[Tan]{nss5}{\\sum_{j=1}^{m}(\\max\\{F_j\\} \\times W_j)} \n } \\times 100\n\\end{equation*}\n\\annotate[yshift=1em]{left}{nss}{Normalised Severity Score \\\\for each phenotype}\n\\annotate[yshift=3em]{left}{nss2}{Sum of weighted annotation values \\\\across all metrics}\n\\annotate[yshift=3em]{right}{nss3}{Numerically encoded annotation value \\\\of metric $j$ for phenotype $p$}\n\\annotate[yshift=1em]{right}{nss4}{Weight for metric $j$} \n\\annotate[yshift=-1em]{below,right}{nss5}{Theoretical maximum severity score}\n```\n\n:::\n\n\\\n\n\n::: {#tbl-metric-weights .cell tbl-cap='Weighted scores for each clinical characteristic and GPT-4 response category.'}\n\n```{.r .cell-code .hidden}\n## Get weights from HPOExplorer::gpt_annot_codify function defaults\nargs <- formals(HPOExplorer::gpt_annot_codify)\ncode_dict <- eval(args$code_dict)|>sort(decreasing = TRUE)\nnames(code_dict) <- paste0(stringr::str_to_sentence(names(code_dict)),\n \" (\",code_dict,\")\")\nweights_dict <- eval(args$weights_dict)|>unlist()|>sort(decreasing = TRUE)\nnames(weights_dict) <- paste0(stringr::str_to_sentence(gsub(\"_\",\" \",names(weights_dict))),\n \" (\",weights_dict,\")\")\n## Create the outer product of the two weight vectors\ntbl_metric_weights <- as.data.table(outer(weights_dict,code_dict, \"*\"),\n keep.rownames = \"Clinical characteristic\")\n\nknitr::kable(as.data.frame(tbl_metric_weights))\n```\n\n::: {.cell-output-display}\n\n\n|Clinical characteristic | Always (3)| Often (2)| Rarely (1)| Never (0)|\n|:---------------------------|----------:|---------:|----------:|---------:|\n|Intellectual disability (5) | 15| 10| 5| 0|\n|Death (5) | 15| 10| 5| 0|\n|Impaired mobility (4) | 12| 8| 4| 0|\n|Blindness (4) | 12| 8| 4| 0|\n|Physical malformations (3) | 9| 6| 3| 0|\n|Sensory impairments (3) | 9| 6| 3| 0|\n|Immunodeficiency (3) | 9| 6| 3| 0|\n|Cancer (3) | 9| 6| 3| 0|\n|Reduced fertility (1) | 3| 2| 1| 0|\n|Congenital onset (1) | 3| 2| 1| 0|\n\n\n:::\n:::\n\n\n### Severity classes\n\n\n::: {.cell}\n\n```{.r .cell-code .hidden}\ntiers_dict <- unlist(eval(formals(HPOExplorer::gpt_annot_class)$tiers_dict))\n```\n:::\n\n\nThe decision tree algorithm used in @Lazarin2014-rz was adapted here for use with the GPT-4 annotations. This algorithm first assigned each annotation metric to a tier, where Tier 1 indicated the most severe annotation metrics and Tier 4 indicated the least severe annotation metrics ('death'=1, 'intellectual disability'=1, 'impaired mobility'=2, 'physical malformations'=2, 'blindness'=3, 'sensory impairments'=3, 'immunodeficiency'=3, 'cancer'=3, 'reduced fertility'=4). If a phenotype often or always caused more than one Tier 1 annotation, it was assigned a severity class of \"Profound\". If the phenotype often or always caused only one Tier 1 annotation, it was assigned a severity class of \"Severe\". A \"Severe\" class assignment was also assigned if the phenotype often or always caused three or more Tier 2 and Tier3 annotations. If the phenotype often or always caused at least one Tier 2 annotation, it was assigned a severity class of \"Moderate\". All remaining phenotypes were was assigned a severity class of \"Mild\". In cases where the phenotype mapped to more than one class, only the most severe class was used. This procedure is implemented within the function `HPOExplorer::gpt_annot_class`.\n\n### Correlations between severity metrics\n\nTo assess the correlation structure between each severity metric, as well as between the composite severity score and each metric, we computed Pearson correlation coefficients for all pairwise combinations of these variables using the numerically encoded metric values. The correlation matrix was visualised using a heatmap, with the colour intensity representing the strength of the correlation (@fig-metric-corplot).\n\n## Data and code availability statement\n\nAll code and data used in this study are available on GitHub at:\n\n\n\nThe GPT-4 annotations for all HPO phenotypes are made available through the R function `HPOExplorer::gpt_annot_read` or in CSV format at:\n\n\n\nA fully reproducible version of this Quarto manuscript can be found at:\n\n\n\n## Acknowledgements\n\nWe would like to thank members of the Monarch Initiative for their insight and feedback throughout this project. In particular, Peter Robinson.\n\n### Funding\n\nThis work was supported by a UK Dementia Research Institute (UK DRI) Future Leaders Fellowship \\[MR/T04327X/1\\] and the UK DRI which receives its funding from UK DRI Ltd, funded by the UK Medical Research Council, Alzheimer’s Society and Alzheimer's Research UK.\n\n## References {.unnumbered}\n\n::: {#refs}\n:::\n\n\n{{< pagebreak >}}\n\n\n\n## Supplementary Materials\n\n### Supplementary Figures\n\n\n::: {#cell-fig-consist-vs-ontLvl .cell}\n\n```{.r .cell-code .hidden}\nconsist_vs_ontLvl$labels$caption <- NULL\nconsist_vs_ontLvl\n```\n\n::: {.cell-output-display}\n![Relationship between the consistency of GPT-4 annotations (using the stringent criterion) and the level of each phenotype within the HPO ontology (with the number of phenotypes in parentheses). Greater ontology levels (x-axis) indicate more specific phenotypes. The subtitle indicates summary statistics for the overall relationship between HPO level and the proportion of phenotypes that were annotated consistently. The p-values above each bar indicate whether the distribution of consistent/inconsistent annotations, within a given HPO level, significantly deviate from the expected null distribution.](manuscript_files/figure-pdf/fig-consist-vs-ontLvl-1.pdf){#fig-consist-vs-ontLvl fig-pos='H'}\n:::\n:::\n\n::: {#cell-fig-severity-histo .cell}\n\n```{.r .cell-code .hidden}\ngpt_annot_plot_out$gp3 +\n labs(x=\"Severity score\") \n```\n\n::: {.cell-output-display}\n![Distribution of the composite GPT-4 severity score of the severity scores for all HPO terms.](manuscript_files/figure-pdf/fig-severity-histo-1.pdf){#fig-severity-histo fig-pos='H'}\n:::\n:::\n\n::: {#cell-fig-severity-boxplot .cell}\n\n```{.r .cell-code .hidden}\ngpt_annot_plot_out$gp2 +\n scale_fill_brewer(palette = \"GnBu\", direction = -1) +\n labs(y=\"Severity score\") \n```\n\n::: {.cell-output .cell-output-stderr .hidden}\n\n```\nScale for fill is already present.\nAdding another scale for fill, which will replace the existing scale.\n```\n\n\n:::\n\n::: {.cell-output-display}\n![Boxplot showing the relationship between composite severity score (y-axis) and the frequency response categories within each annotation type.](manuscript_files/figure-pdf/fig-severity-boxplot-1.pdf){#fig-severity-boxplot fig-pos='H'}\n:::\n:::\n\n::: {#cell-fig-metric-corplot .cell}\n\n```{.r .cell-code .hidden}\ndiag(cor_metrics$P) <- 0\ncorrplot::corrplot(cor_metrics$r,\n method = c(\"circle\", \"square\", \"ellipse\", \"number\", \"shade\", \"color\", \"pie\")[2],\n tl.srt = 45,\n tl.col = \"grey20\",\n # insig='blank',\n addCoef.col ='grey20', number.cex = 0.8,\n order=\"hclust\",\n addCoefasPercent=TRUE,\n p.mat = cor_metrics$P)\n```\n\n::: {.cell-output-display}\n![Pearson correlations between each individual severity metric and the composite severity score ('severity_score_gpt').](manuscript_files/figure-pdf/fig-metric-corplot-1.pdf){#fig-metric-corplot fig-pos='H'}\n:::\n:::\n\n::: {#cell-fig-severity-class .cell}\n\n```{.r .cell-code .hidden}\nfig_severity_class\n```\n\n::: {.cell-output-display}\n![Distribution of the composite GPT-4 severity score introduced in this paper (y-axis) by an approximation of the severity class system introduced @Lazarin2014-rz (x-axis). While these are different schemes for ranking phenotype severity, there is a strong correspondence between them (see summary statistics in subtitle). The sample size (number of phenotypes) is shown in parentheses along the x-axis.](manuscript_files/figure-pdf/fig-severity-class-1.pdf){#fig-severity-class fig-pos='H'}\n:::\n:::\n\n{{< pagebreak >}}\n\n\n\n### Supplementary Tables\n\n\n::: {#tbl-fas .cell tbl-cap='Severity nnotations generated for GPT-4 annotations for the HPO phenotype \\'Fetal akinesia sequence\\' (HP:000198).' tbl-colwidths='[20,20,60]'}\n\n```{.r .cell-code .hidden}\nannot_cols <- setdiff(grep(\"justification\",names(gpt_annot), \n value = TRUE, invert = TRUE),\n c(\"hpo_name\",\"hpo_id\",\"pheno_count\"))\ntbl_fas <- gpt_annot[hpo_name=='Fetal akinesia sequence',]|>\n data.table::melt.data.table(id.vars = c(\"hpo_name\",\"hpo_id\"), \n measure.vars = list(\n Annotation=annot_cols,\n Justification=grep(\"justification\",names(gpt_annot), \n value = TRUE)\n )\n )\ntbl_fas[,\"Clinical characteristic\":=stringr::str_to_sentence(gsub(\"_\",\" \",annot_cols))]\nknitr::kable(\n as.data.frame(tbl_fas[,c(\"Clinical characteristic\",\"Annotation\",\"Justification\")])\n )\n```\n\n::: {.cell-output-display}\n\n\n|Clinical characteristic |Annotation |Justification |\n|:-----------------------|:----------|:------------------------------------------------------------------------------------------------------------------------------------------|\n|Intellectual disability |always |Fetal akinesia sequence typically results in severe neurodevelopmental impairment, including intellectual disability. |\n|Death |always |Fetal akinesia sequence is typically fatal in utero or shortly after birth. |\n|Impaired mobility |always |Fetal akinesia sequence results in severe physical impairment, including impaired mobility. |\n|Physical malformations |always |Fetal akinesia sequence is associated with multiple physical malformations. |\n|Blindness |often |Visual impairment is common in surviving individuals with fetal akinesia sequence due to neurodevelopmental impairment. |\n|Sensory impairments |always |Fetal akinesia sequence typically results in severe sensory impairment due to neurodevelopmental disruption. |\n|Immunodeficiency |rarely |While not a direct feature, some individuals with fetal akinesia sequence may have associated immune abnormalities. |\n|Cancer |never |Fetal akinesia sequence does not cause cancer. |\n|Reduced fertility |often |Given the severe physical impairments associated with fetal akinesia sequence, fertility is likely to be reduced in surviving individuals. |\n|Congenital onset |always |Fetal akinesia sequence is a congenital disorder. |\n\n\n:::\n:::\n", "supporting": [ "manuscript_files/figure-pdf" ], diff --git a/_freeze/manuscript/figure-html/fig-consist-vs-ontLvl-1.png b/_freeze/manuscript/figure-html/fig-consist-vs-ontLvl-1.png new file mode 100644 index 0000000000000000000000000000000000000000..33d13b729c087f73ec6302f66fd54159e2bdca16 GIT binary patch literal 213239 zcmc$`bx_>hwk-;TBoGn;!4f1`fZ!V3g1fsrH0}h4puyb_Gu&rzaBwfg#e@{#;E=&xL?5Il 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  • Data and code availability statement
  • Acknowledgements @@ -273,7 +277,7 @@

    Abstract

    Introduction

    Comprehensive annotation of phenotypic abnormalities is invaluable for defining, diagnosing, prognosing, and treating human disease. Since 2008, the Human Phenotype Ontology (HPO) has been instrumental to this, by providing a standardised database for the description and analysis of human phenotypes (Köhler et al. 2021; Gargano et al. 2024). Through developing open community resources, the depth and breadth of the HPO has continued to expand and there are now >17500 phenotypic abnormalities across >8600 diseases, described. In recent years, the HPO has expanded its disease annotations so that each HPO term can have metadata including typical age of onset and frequency. In addition, there are the Clinical modifier and Clinical course subontologies, which contains terms to describe factors including severity, triggers, mortality and progression, respectively. Describing the severity-related attributes of a disease is crucial for both research and clinical care of individuals with rare diseases. This includes enhancing diagnostic capabilities, as well as prioritising and guiding gene therapy trials.

    -

    To date, the HPO has largely relied on manual curation by experts including clinicians, clinical geneticists and researchers. Although this approach ensures the quality and accuracy of the ontology, it is time-consuming and labour-intensive. As a result, less than 1% of terms within the HPO have metadata pertaining to their features such as time course and severity. Artificial intelligence (AI) capabilities have advanced considerably in recent years, presenting new opportunities to integrate natural language processing technologies into assisting in the curation process. Specifically, there have recently been considerable advances in large language model (LLM) and their application to biomedical problems, in some cases performing as well or better than human clinicians on standardised medical exams and patient diagnosis tasks (Van Veen et al. 2024; Bolton et al., n.d.; Zhang et al., n.d.; Labrak et al., n.d.; Gu et al. 2021; Singhal et al. 2023, 2023, n.d.; Shin et al. 2020; Cheng et al. 2023; O’Neil et al., n.d.; Luo et al. 2022; McDuff et al., n.d.). Recent work has demonstrated that the Generative Pre-trained Transformer 4 (GPT-4) foundation model (OpenAI et al., n.d.), when combined with strategic prompt engineering, can outperform even specialist LLMs that are explicitly fine-tuned for biomedical tasks (Nori et al., n.d.). In a landmark achievement, GPT-4 was the first LLM to surpass a score of 90% in the United States Medical Licensing Examination (USML) (Nori et al., n.d.).

    +

    To date, the HPO has largely relied on manual curation by experts including clinicians, clinical geneticists and researchers. Although this approach ensures the quality and accuracy of the ontology, it is time-consuming and labour-intensive. As a result, less than 1% of terms within the HPO have metadata pertaining to their features such as time course and severity. Artificial intelligence (AI) capabilities have advanced considerably in recent years, presenting new opportunities to integrate natural language processing technologies into assisting in the curation process. Specifically, there have recently been considerable advances in large language model (LLM) and their application to biomedical problems, in some cases performing as well or better than human clinicians on standardised medical exams and patient diagnosis tasks (Van Veen et al. 2024; Bolton et al. 2024; Zhang et al. 2023; Labrak et al. 2024; Gu et al. 2021; Singhal, Azizi, et al. 2023, 2023; Shin et al. 2020; Cheng et al. 2023; O’Neil et al. 2024; Luo et al. 2022; McDuff et al. 2023; Singhal, Tu, et al. 2023). Recent work has demonstrated that the Generative Pre-trained Transformer 4 (GPT-4) foundation model (OpenAI et al. 2024), when combined with strategic prompt engineering, can outperform even specialist LLMs that are explicitly fine-tuned for biomedical tasks (Nori et al. 2023). In a landmark achievement, GPT-4 was the first LLM to surpass a score of 90% in the United States Medical Licensing Examination (USML) (Nori et al. 2023).

    Here, we have used GPT-4 to systematically annotate the severity of 17502 / 17548 (99.7%) phenotypic abnormalities within the HPO. Our severity annotation framework was adapted from previously defined criteria developed through consultation with clinicians (Lazarin et al. 2014). The authors consulted 192 healthcare professionals for their opinions on the relative severity of various clinical characteristics: they used this to create a system for categorising the severity of diseases. Briefly, each healthcare professional was sent a survey asking them to first rate how important a disease characteristic was for determining disease severity, and then to rate the severity of a set of given disease. Using the responses, the authors were able to categorise clinical characteristics into 4 ‘severity tiers’. While characteristics such as shortened lifespan in infancy and intellectual disability were identified as highly severe and placed into tier 1, sensory impairment and reduced lifespan were categorised as less severe and placed into tier 4. Standardised metrics of severity allow clinicians to quickly assess the urgency of treating a given phenotype, as well as prognosing what outcomes might be expected.

    793 phenotypes were annotated multiple times to evaluate the consistency of responses generated by GPT-4. For a subset of phenotypes with known expected annotations, true positive rates were calculated to assess recall. Additionally, based on the clinical characteristics and their occurrence, we have quantified the severity of each phenotype, providing an example of how these clinical characteristic annotations can be used to guide prioritisation of gene therapy trials. Ultimately, we hope that our resource will be of utility to those working in rare diseases, as well as the wider healthcare community.

    @@ -286,7 +290,7 @@

    Annotating
    - +
    Figure 1: GPT-4 was able to annotate all human phenotypes based on whether they are always/often/rarely/never associated with different clinical characteristics. a, An example of the prompt input given to to GPT-4. The phenotypes listed in the second to last sentence (italicised) were changed to allow all HPO phenotypes to be annotated. b, Stacked bar plot showing the proportion of the occurrence of each clinical characteristic across all annotated HPO phenotypes. The terms shown on the x-axis are the clinical characteristics for which GPT-4 was asked to determine whether each phenotype caused them. @@ -301,7 +305,8 @@

    Annotating

    Annotation consistency and recall

    -

    To assess annotation consistency, 793 phenotypes underwent duplicate annotations. We employed two different metrics to determine the consistency rate. The first, less stringent metric, defined consistency as the duplicate annotations being either ‘always’ and ‘often’, or ‘never’ and ‘rarely’. The second, more stringent metric, required exact agreement in annotation occurrences, e.g. ‘always’ and ‘always’. For the less stringent metric, duplicated phenotypes were annotated consistently at a rate of at least 80%, and for the more stringent metric, the lowest consistency rate was 57% for congenital onset. An example of where annotations were inconsistent was for the HPO term ‘Acute leukaemia’. One time, GPT-4 annotated it as often causing impaired mobility, giving the justification that ‘weakness and fatigue from leukaemia and its treatment can impair mobility’. The other time, GPT-4 annotated it as rarely causing impaired mobility, giving the justification that ‘acute leukaemia rarely impairs mobility directly’. Despite specifying in the prompt for GPT-4 not to take into consideration indirect effects, here is an example of where it failed to do so.

    +

    To assess annotation consistency, 793 we queried GPT-4 with a subset of the HPO phenotypes multiple times. We employed two different metrics to determine the consistency rate. The first, less stringent metric, defined consistency as the duplicate annotations being either ‘always’ and ‘often’, or ‘never’ and ‘rarely’. The second, more stringent metric, required exact agreement in annotation occurrences, e.g. ‘always’ and ‘always’. For the less stringent metric, duplicated phenotypes were annotated consistently at a rate of at least 80%, and for the more stringent metric, the lowest consistency rate was 57% for congenital onset. An example of where annotations were inconsistent was for the HPO term ‘Acute leukaemia’. One time, GPT-4 annotated it as often causing impaired mobility, giving the justification that ‘weakness and fatigue from leukaemia and its treatment can impair mobility’. The other time, GPT-4 annotated it as rarely causing impaired mobility, giving the justification that ‘acute leukaemia rarely impairs mobility directly’. Despite specifying in the prompt for GPT-4 not to take into consideration indirect effects, this is an example of where it failed to do so.

    +

    We also reasoned that GPT-4 would be better able to give consistent answers for more specific phenotypes lower in the ontology, as they are more likely to have a single cause. We found that the stringent consistency rate did indeed significantly improve with greater HPO ontology depth (\(X_{Pearson}^2\)=22.17, \(\hat{V}_{Cramer}\)=0.03, p=0.05). See Figure 4 for a visual representation of this relationship.

    @@ -323,7 +328,7 @@

    Annotati

    Quantifying phenotypic severity

    Quantifying the severity of phenotypes can have important implications for diagnosis, prognosis, and treatment, for instance, guiding prioritisation of gene therapy trials for the most severe phenotypes. First, we created a dictionary to map each phenotype outcome (e.g. blindness) and its response (always, often, rarely, never) to numeric values from 0-3. Then, the phenotype outcome values were multiplied by their associated response values. Importantly, the values reflected the severity of each outcome based on both the outcome itself and the frequency of the response. For instance, a phenotype always causing death would have a higher multiplied value than a phenotype rarely causing reduced fertility (see Table 2). Next, we computed an average score for each phenotype by aggregating the multiplied values across all phenotype outcomes and then calculating the mean. This was then normalised by the theoretical maximum severity score, so that all phenotypes were on a 0-100 severity scale (where 100 is the most severe phenotype possible). This average normalised score represents the overall severity of the phenotype based on the severity of its individual outcomes.

    -

    Based on these scores we evaluated the top 50 severe phenotypes. One of the most severe phenotype was ‘Anencephaly’ (HP:0002323) with a composite severity score of 52. Anencephaly is a birth defect where the baby is born without a portion of its brain and skull, often these babies are stillborn. In fact, many of the most severe phenotypes were related to developmental brain and neural tube defects. Comparison of the severity scores for each response, across the phenotype outcomes annotated, revealed consistent trends: as the response of the phenotype outcome increased (from never to always), the severity score also increased (Supplementary Fig. 5). We also evaluated the severity score distribution by HPO branch and calculated the mean severity score using all phenotypes within each major HPO branch (Fig. 4). The HPO branch with the greatest mean severity score was ‘Abnormal cellular phenotype’ (mean=19.6), followed by ‘Neoplasm’ (mean=17.2), which would include the highly ranked phenotypes seen in Figure 3.

    +

    Based on these scores we evaluated the top 50 severe phenotypes. One of the most severe phenotype was ‘Anencephaly’ (HP:0002323) with a composite severity score of 52. Anencephaly is a birth defect where the baby is born without a portion of its brain and skull, often these babies are stillborn. In fact, many of the most severe phenotypes were related to developmental brain and neural tube defects. Comparison of the severity scores for each response, across the phenotype outcomes annotated, revealed consistent trends: as the response of the phenotype outcome increased (from never to always), the severity score also increased (Supplementary Fig. 6). We also evaluated the severity score distribution by HPO branch and calculated the mean severity score using all phenotypes within each major HPO branch (Fig. 5). The HPO branch with the greatest mean severity score was ‘Abnormal cellular phenotype’ (mean=19.6), followed by ‘Neoplasm’ (mean=17.2), which would include the highly ranked phenotypes seen in Figure 3.

    @@ -339,15 +344,23 @@

    Quantifyin

    Source: Article Notebook
    +
    +

    Severity classes

    +

    While the continuous severity score is a helpful metric, there may be some use cases where a categorical classification of severity is more immediately useful. In work by Lazarin et al. (2014), the authors defined severity classed using a simple decision tree based on the individual severity annotations. We approximated this approach using our GPT-4 annotations. This categorical approach showed a strong degree of positive correspondence with the continuous severity score (\(\hat{\omega_{p}^2}\)=0.87, p<2.2e-308). In other words, severity score increased with severity class level (mild < moderate < severe < profound) as expected. The distribution of severity classes is shown in Figure 8.

    +
    +
    +

    Correlations between severity metrics

    +

    We found that some severity metrics were correlated with one another, with a mean Pearson correlation of 0.2 across all individual metrics (see Figure 7). In particular, blindness and sensory impairment were highly correlated with one another (r=0.62, p=0). Some metrics drove the composite severity score more than other, which is a reflection of both our per-metric weighting scheme, response type frequencies, and the correlation structure between metrics. Overall, impaired mobility seemed to be the strongest driver of the composite severity score with a Pearson correlation of 0.6138757, followed by intellectual disability (r=0.6) and sensory impairments (r=0.54).

    +

    Discussion

    -

    The creation and annotation of biomedical knowledge has traditionally relied on manual or semi-manual curation by human experts (Putman et al. 2024; Ochoa et al. 2021; Mungall et al. 2017; Köhler et al. 2021; Gargano et al. 2024). Performing such manual curation and review tasks at scale is often infeasible for human biomedical experts given limited time and resources. LLMs have the capacity to effectively encode, retrieve, and synthesise vast amounts of diverse information in a highly scalable manner (Van Veen et al. 2024; Singhal et al. 2023; OpenAI et al., n.d.). This makes them powerful tools that can be applied in a rapidly expanding variety of scenarios, including medical practice, research and data curation (Singhal et al. 2023; Toro et al., n.d.; Pan et al., n.d.; O’Neil et al., n.d.; Caufield et al., n.d.).

    -

    Here, we introduce a novel framework to leverage the current best-in-class LLM, GPT-4 (OpenAI et al., n.d.), to systematically annotate the severity of 17502 phenotypic abnormalities within the HPO. By employing advanced AI capabilities, we have demonstrated the feasibility of automating this process, significantly enhancing efficiency without substantially compromising accuracy. Our validation approach yielded a high true positive rate exceeding 88% across the phenotypes tested. Furthermore, our approach can be readily adapted and scaled to accommodate the growing volume of phenotypic data.

    +

    The creation and annotation of biomedical knowledge has traditionally relied on manual or semi-manual curation by human experts (Putman et al. 2024; Ochoa et al. 2021; Mungall et al. 2017; Köhler et al. 2021; Gargano et al. 2024). Performing such manual curation and review tasks at scale is often infeasible for human biomedical experts given limited time and resources. LLMs have the capacity to effectively encode, retrieve, and synthesise vast amounts of diverse information in a highly scalable manner (Van Veen et al. 2024; Singhal, Azizi, et al. 2023; OpenAI et al. 2024). This makes them powerful tools that can be applied in a rapidly expanding variety of scenarios, including medical practice, research and data curation (Singhal, Azizi, et al. 2023; Toro et al. 2023; Pan et al. 2023; O’Neil et al. 2024; Caufield et al. 2023).

    +

    Here, we introduce a novel framework to leverage the current best-in-class LLM, GPT-4 (OpenAI et al. 2024), to systematically annotate the severity of 17502 phenotypic abnormalities within the HPO. By employing advanced AI capabilities, we have demonstrated the feasibility of automating this process, significantly enhancing efficiency without substantially compromising accuracy. Our validation approach yielded a high true positive rate exceeding 88% across the phenotypes tested. Furthermore, our approach can be readily adapted and scaled to accommodate the growing volume of phenotypic data.

    Throughout this study, we observed that GPT-4 was capable of reliably recovering deep semantic relationships from the medical domain, far beyond making superficial inferences based on lexical similarities. An excellent example of this is the phenotype ‘Molar tooth sign on MRI’ (HP:0002419; severity score=30), which GPT-4 annotated as causing intellectual disability. At first glance, we ourselves assumed this was a false positive as the term appeared to be related to dentition. However, upon further inspection we realised that molar tooth sign is in fact a pattern of abnormal brain morphology that happens to bear some resemblance to molar dentition when observed in radiological scans. This phenotype is a known sign of neurodevelopmental defects that can indeed cause severe intellectual disability (Gleeson et al. 2004).

    -

    In addition to rapidly synthesising and summarising vast amounts of information, LLMs can also be steered to provide justifications for each particular response. This makes LLMs amenable to direct interrogation as a means of recovering explainability, especially when designed to retain information about previous requests and interactions as they use these to iteratively improve and update their predictions (Janik, n.d.). This represents a categorical advance over traditional natural language processing models based on more shallow forms of statistical or machine learning (e.g. Term Frequency-Inverse Document Frequency (Jones 1972), Word2vec (Mikolov et al., n.d.)) which lack the ability to provide chains of causal reasoning to justify their predictions. This highlights the fundamental trade-off between simpler models with high explainability (the ability humans to understand the inner workings of the model) but low interpretability (the ability of humans to trace the decision process of the model, analogous to human ‘reasoning’), and deeper more complex models with low explainability but high interpretability (Marcinkevičs and Vogt, n.d.).

    -

    A key contribution of our study is the introduction of a quantitative severity scoring system that integrates both the nature of the phenotype outcome and the frequency of its occurrence. By encoding the concept of severity in this way, we are able to prioritise phenotypes based on their impact on patients. The methodology allowed us to transition from low-throughput qualitative assessments of severity (e.g. Lazarin et al. (2014)) to high-throughput quantitative assessments of severity. One of the most severe phenotypes in the HPO is ‘Fetal akinesia sequence’ (FAS; HP:0001989, severity score= 50.7), and extremely rare condition that is almost always lethal. FAS is a complex, multi-system phenotype that can be caused by at least 24 different genetic disorders. Despite the complex and heterogenous aetiology of this phenotype, GPT-4 was able to provide accurate annotations alongside explainable justifications for those annotations (see Table 3). For example, this phenotype almost always results in death, either in utero or shortly after birth. Not only did GPT-4 correctly provide the annotation death as ‘always’, when asked whether FAS causes sensory impairments it provided the response ‘always’ with the justification ‘Fetal akinesia sequence typically results in severe sensory impairment due to neurodevelopmental disruption.’ Neurodevelopmental disruption is indeed a hallmark component of FAS (e.g. hydrocephalus, cerebellar hypoplasia) that causes severe impairments across multiple sensory systems (Chen 2012). This demonstrates that GPT-4 was able to recover the correct chain of causality from phenotype to clinical outcome.

    -

    Our findings highlight the potential of this next generation of natural language processing technologies in significantly contributing to the automation and refinement of data curation in biomedical research. These results have a large number of useful real-world applications, such as prioritising gene therapy candidates (Murphy et al., n.d.) and guiding clinical decision-making in rare diseases. As the HPO continues to grow over time, this approach can easily be repeated to keep pace with the rapidly evolving biomedical landscape. Furthermore, this approach can be extended to produce different sets of annotations or be used with any other ontology. Additional use cases include gathering data on the prevalence of each phenotype to approximate their social and financial costs.

    +

    In addition to rapidly synthesising and summarising vast amounts of information, LLMs can also be steered to provide justifications for each particular response. This makes LLMs amenable to direct interrogation as a means of recovering explainability, especially when designed to retain information about previous requests and interactions as they use these to iteratively improve and update their predictions (Janik 2024). This represents a categorical advance over traditional natural language processing models based on more shallow forms of statistical or machine learning (e.g. Term Frequency-Inverse Document Frequency (Jones 1972), Word2vec (Mikolov et al. 2013)) which lack the ability to provide chains of causal reasoning to justify their predictions. This highlights the fundamental trade-off between simpler models with high explainability (the ability humans to understand the inner workings of the model) but low interpretability (the ability of humans to trace the decision process of the model, analogous to human ‘reasoning’), and deeper more complex models with low explainability but high interpretability (Marcinkevičs and Vogt 2023).

    +

    A key contribution of our study is the introduction of a quantitative severity scoring system that integrates both the nature of the phenotype outcome and the frequency of its occurrence. By encoding the concept of severity in this way, we are able to prioritise phenotypes based on their impact on patients. The methodology allowed us to transition from low-throughput qualitative assessments of severity (e.g. Lazarin et al. (2014)) to high-throughput quantitative assessments of severity. One of the most severe phenotypes in the HPO is ‘Fetal akinesia sequence’ (FAS; HP:0001989, severity score= 50.7), and extremely rare condition that is almost always lethal. FAS is a complex, multi-system phenotype that can be caused by at least 24 different genetic disorders. Despite the complex and heterogeneous aetiology of this phenotype, GPT-4 was able to provide accurate annotations alongside explainable justifications for those annotations (see Table 3). For example, this phenotype almost always results in death, either in utero or shortly after birth. Not only did GPT-4 correctly provide the annotation death as ‘always’, when asked whether FAS causes sensory impairments it provided the response ‘always’ with the justification ‘Fetal akinesia sequence typically results in severe sensory impairment due to neurodevelopmental disruption.’ Neurodevelopmental disruption is indeed a hallmark component of FAS (e.g. hydrocephalus, cerebellar hypoplasia) that causes severe impairments across multiple sensory systems (Chen 2012). This demonstrates that GPT-4 was able to recover the correct chain of causality from phenotype to clinical outcome.

    +

    Our findings highlight the potential of this next generation of natural language processing technologies in significantly contributing to the automation and refinement of data curation in biomedical research. These results have a large number of useful real-world applications, such as prioritising gene therapy candidates (Murphy et al. 2023) and guiding clinical decision-making in rare diseases. As the HPO continues to grow over time, this approach can easily be repeated to keep pace with the rapidly evolving biomedical landscape. Furthermore, this approach can be extended to produce different sets of annotations or be used with any other ontology. Additional use cases include gathering data on the prevalence of each phenotype to approximate their social and financial costs.

    One key limitation of our study is the fact that we did not explicitly interrogate GPT-4 to assess how the availability of treatments affected the annotations it produced. For example, there are some very severe conditions for which highly effective treatments and early detection screens are widely available (e.g. syphilis, some forms of melanoma), thus rendering them fully treatable or even curable provided access to modern healthcare. It would therefore be useful to further interrogate GPT-4 to uncover how the availability of treatments influences its responses. Many of our findings here seem to indicate that GPT-4 does take into account quality of care to the extent that health services increase the likelihood of desired outcomes. For example, many of the cancer phenotypes are justified as always or often causing death unless detected and treated early in the disease course. On the other hand, some cancers are justified as rarely causing death if appropriate treatment is provided, which may not always be the case for individuals or populations with access to less access to quality healthcare services. Future efforts could more explicitly ask GPT-4 whether the phenotype would cause death with no or suboptimal treatment.

    In addition to these technical challenges, there are multiple factors that need to be considered when trying to prioritise phenotypes for their suitability for gene therapy development. First, while we have attempted to formalise severity here, this is an inherently subjective concept that may vary considerably across different individuals and contexts. For instance, one could ask whether a condition that always causes death is worse than a condition that causes a lifetime of severe disability (e.g. paralysis, blindness, intellectual disability). Metrics such as quality-adjusted life years (QALYs) have been proposed in the past to address these dilemmas by defining health as a function of both the length and quality of life (Prieto and Sacristán 2003). With regards to the financial burden of diseases, in some situations phenotypes which require many years of expensive medical care may be prioritised over those that result in extremely early onset lethality and little opportunity for therapeutic intervention. Another factor that affects the viability of a therapeutic program is the speed, cost and other practical considerations of a clinical trial. For instance, measuring risk of ageing-related respiratory failure over a ten-year period may be impractical in some cases. However, testing for total reversal of an existing severe phenotype could potentially yield faster and more immediately impactful results. If performed in close collaboration with medical ethicists, governmental organisations, advocacy groups and patient families, such cost/benefit assessments could be aided by LLMs through the scalable gathering of relevant data. As AI capabilities continue to advance, the range of applications in which they can be used effectively will continue to grow.

    While our study demonstrates the feasibility and utility of AI-driven phenotypic annotation, several limitations must be acknowledged. The reliance on computational algorithms may introduce biases or inaccuracies inherent to the training data, necessitating ongoing validation and refinement of our approach. Additionally, our severity scoring system, while comprehensive, may not capture the full spectrum of phenotypic variability or account for complex gene-environment interactions. Future research should focus on further optimising AI-driven annotation methodologies, incorporating additional data modalities such as genomic and clinical data to enhance accuracy.

    @@ -357,11 +370,11 @@

    Discussion

    Methods

    Annotating the HPO using OpenAI GPT-4

    -

    We wrote a Python script to iteratively query GPT-4 via the OpenAI application programming interface (API). The ultimately yielded consistently formatted annotations for 17502 terms within the HPO. Our annotation framework was developed based on previously defined criteria for classifying disease severity (Lazarin et al. 2014). We sought to evaluate whether each phenotype directly caused a given severity-related clinical characteristic, including: intellectual disability, death, impaired mobility, physical malformations, blindness, sensory impairments, immunodeficiency, cancer, reduced fertility, and/or had a congenital onset. Through prompt engineering we found that the performance of GPT-4 improved when we incorporated a scale associated with each effect and required a justification for each response. We asked how frequently the given phenotype directly causes each clinical characteristic - whether it never, rarely, often, or always occurred. Furthermore, our prompt design revealed that the optimal trade-off between the number of phenotypes and performance (in terms of producing the desired annotations, and adhering to the formatting requirements) was achieved when inputting no more than two or three phenotypes per prompt. An example prompt can be seen in Figure 1. Only 2 phenotypes were included per prompt in order to 1) avoid exceeding per-query token limits, and 2) prevent the breakdown of GPT-4 performance due to long-form text input, which is presently a known limitation common to many LLMs including GPT-4 (Wei et al., n.d.).

    +

    We wrote a Python script to iteratively query GPT-4 via the OpenAI application programming interface (API). The ultimately yielded consistently formatted annotations for 17502 terms within the HPO. Our annotation framework was developed based on previously defined criteria for classifying disease severity (Lazarin et al. 2014). We sought to evaluate whether each phenotype directly caused a given severity-related clinical characteristic, including: intellectual disability, death, impaired mobility, physical malformations, blindness, sensory impairments, immunodeficiency, cancer, reduced fertility, and/or had a congenital onset. Through prompt engineering we found that the performance of GPT-4 improved when we incorporated a scale associated with each effect and required a justification for each response. We asked how frequently the given phenotype directly causes each clinical characteristic - whether it never, rarely, often, or always occurred. Furthermore, our prompt design revealed that the optimal trade-off between the number of phenotypes and performance (in terms of producing the desired annotations, and adhering to the formatting requirements) was achieved when inputting no more than two or three phenotypes per prompt. An example prompt can be seen in Figure 1. Only 2 phenotypes were included per prompt in order to 1) avoid exceeding per-query token limits, and 2) prevent the breakdown of GPT-4 performance due to long-form text input, which is presently a known limitation common to many LLMs including GPT-4 (Wei et al. 2024).

    Calculating the true positive rate

    -
    +
    @@ -369,11 +382,11 @@

    Calcula

    - +
    ---+++ @@ -385,42 +398,42 @@

    Calcula

    - + - + - + - + - + - + - + - + @@ -442,7 +455,7 @@

    Quantify

  • \(W_j\): the assigned weight of metric \(j\).

  • \(F_j\): the maximum possible value for metric \(j\) (equivalent across all \(j\)).

  • \(F_{pj}\) : the numerically encoded value of annotation metric \(j\) for phenotype \(p\).

    • -

  • \(NSS_p\): The final composite severity score for phenotype \(p\) after applying normalisation to align values to a 0-100 scale and ensure equivalent meaning regardless of which other phenotypes are being analysed in addition to \(p\). This allows for direct comparability of severity scores across studies with different sets of phenotypes.

    • +

  • \(NSS_p\): the final composite severity score for phenotype \(p\) after applying normalisation to align values to a 0-100 scale and ensure equivalent meaning regardless of which other phenotypes are being analysed in addition to \(p\). This allows for direct comparability of severity scores across studies with different sets of phenotypes.

    • Computing normalised severity score from encoded GPT-4 annotations.

    @@ -555,6 +568,14 @@

    Quantify Source: Article Notebook Source: Article Notebook +
    +

    Severity classes

    +

    The decision tree algorithm used in Lazarin et al. (2014) was adapted here for use with the GPT-4 annotations. This algorithm first assigned each annotation metric to a tier, where Tier 1 indicated the most severe annotation metrics and Tier 4 indicated the least severe annotation metrics (‘death’=1, ‘intellectual disability’=1, ‘impaired mobility’=2, ‘physical malformations’=2, ‘blindness’=3, ‘sensory impairments’=3, ‘immunodeficiency’=3, ‘cancer’=3, ‘reduced fertility’=4). If a phenotype often or always caused more than one Tier 1 annotation, it was assigned a severity class of “Profound”. If the phenotype often or always caused only one Tier 1 annotation, it was assigned a severity class of “Severe”. A “Severe” class assignment was also assigned if the phenotype often or always caused three or more Tier 2 and Tier3 annotations. If the phenotype often or always caused at least one Tier 2 annotation, it was assigned a severity class of “Moderate”. All remaining phenotypes were was assigned a severity class of “Mild”. In cases where the phenotype mapped to more than one class, only the most severe class was used. This procedure is implemented within the function HPOExplorer::gpt_annot_class.

    +
    +
    +

    Correlations between severity metrics

    +

    To assess the correlation structure between each severity metric, as well as between the composite severity score and each metric, we computed Pearson correlation coefficients for all pairwise combinations of these variables using the numerically encoded metric values. The correlation matrix was visualised using a heatmap, with the colour intensity representing the strength of the correlation (Figure 7).

    +

    Data and code availability statement

    @@ -577,10 +598,10 @@

    Funding

    References

    -Bolton, Elliot, Abhinav Venigalla, Michihiro Yasunaga, David Hall, Betty Xiong, Tony Lee, Roxana Daneshjou, et al. n.d. “BioMedLM: A 2.7B Parameter Language Model Trained on Biomedical Text.” https://doi.org/10.48550/arXiv.2403.18421. +Bolton, Elliot, Abhinav Venigalla, Michihiro Yasunaga, David Hall, Betty Xiong, Tony Lee, Roxana Daneshjou, et al. 2024. “BioMedLM: A 2.7B Parameter Language Model Trained on Biomedical Text.” arXiv. https://doi.org/10.48550/arXiv.2403.18421.
    -Caufield, J. Harry, Harshad Hegde, Vincent Emonet, Nomi L. Harris, Marcin P. Joachimiak, Nicolas Matentzoglu, HyeongSik Kim, et al. n.d. “Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): A Method for Populating Knowledge Bases Using Zero-Shot Learning.” https://doi.org/10.48550/arXiv.2304.02711. +Caufield, J. Harry, Harshad Hegde, Vincent Emonet, Nomi L. Harris, Marcin P. Joachimiak, Nicolas Matentzoglu, HyeongSik Kim, et al. 2023. “Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): A Method for Populating Knowledge Bases Using Zero-Shot Learning.” arXiv. https://doi.org/10.48550/arXiv.2304.02711.
    Chen, Chih-Ping. 2012. “Prenatal Diagnosis and Genetic Analysis of Fetal Akinesia Deformation Sequence and Multiple Pterygium Syndrome Associated with Neuromuscular Junction Disorders: A Review.” Taiwanese Journal of Obstetrics and Gynecology 51 (1): 12–17. https://doi.org/10.1016/j.tjog.2012.01.004. @@ -601,7 +622,7 @@

    References

    Gu, Yu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon. 2021. “Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing.” ACM Transactions on Computing for Healthcare 3 (1): 2:1–23. https://doi.org/10.1145/3458754.
    -Janik, Romuald A. n.d. “Aspects of Human Memory and Large Language Models.” https://doi.org/10.48550/arXiv.2311.03839. +Janik, Romuald A. 2024. “Aspects of Human Memory and Large Language Models.” arXiv. https://doi.org/10.48550/arXiv.2311.03839.
    Jones, Karen Spärck. 1972. “A Statistical Interpretation of Term Specificity and Its Application in Retrieval.” Journal of Documentation 28 (1): 11–21. https://doi.org/10.1108/eb026526. @@ -610,7 +631,7 @@

    References

    Köhler, Sebastian, Michael Gargano, Nicolas Matentzoglu, Leigh C Carmody, David Lewis-Smith, Nicole A Vasilevsky, Daniel Danis, et al. 2021. “The Human Phenotype Ontology in 2021.” Nucleic Acids Research 49 (D1): D1207–17. https://doi.org/10.1093/nar/gkaa1043.
    -Labrak, Yanis, Adrien Bazoge, Emmanuel Morin, Pierre-Antoine Gourraud, Mickael Rouvier, and Richard Dufour. n.d. “BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains.” https://doi.org/10.48550/arXiv.2402.10373. +Labrak, Yanis, Adrien Bazoge, Emmanuel Morin, Pierre-Antoine Gourraud, Mickael Rouvier, and Richard Dufour. 2024. “BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains.” arXiv. https://doi.org/10.48550/arXiv.2402.10373.
    Lazarin, Gabriel A, Felicia Hawthorne, Nicholas S Collins, Elizabeth A Platt, Eric A Evans, and Imran S Haque. 2014. “Systematic Classification of Disease Severity for Evaluation of Expanded Carrier Screening Panels.” PLoS One 9 (12): e114391. @@ -619,34 +640,34 @@

    References

    Luo, Renqian, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, and Tie-Yan Liu. 2022. “BioGPT: Generative Pre-Trained Transformer for Biomedical Text Generation and Mining.” Briefings in Bioinformatics 23 (6): bbac409. https://doi.org/10.1093/bib/bbac409.
    -Marcinkevičs, Ričards, and Julia E. Vogt. n.d. “Interpretability and Explainability: A Machine Learning Zoo Mini-Tour.” https://doi.org/10.48550/arXiv.2012.01805. +Marcinkevičs, Ričards, and Julia E. Vogt. 2023. “Interpretability and Explainability: A Machine Learning Zoo Mini-Tour.” arXiv. https://doi.org/10.48550/arXiv.2012.01805.
    -McDuff, Daniel, Mike Schaekermann, Tao Tu, Anil Palepu, Amy Wang, Jake Garrison, Karan Singhal, et al. n.d. “Towards Accurate Differential Diagnosis with Large Language Models.” https://doi.org/10.48550/arXiv.2312.00164. +McDuff, Daniel, Mike Schaekermann, Tao Tu, Anil Palepu, Amy Wang, Jake Garrison, Karan Singhal, et al. 2023. “Towards Accurate Differential Diagnosis with Large Language Models.” arXiv. https://doi.org/10.48550/arXiv.2312.00164.
    -Mikolov, Tomas, Kai Chen, Greg Corrado, and Jeffrey Dean. n.d. “Efficient Estimation of Word Representations in Vector Space.” https://doi.org/10.48550/arXiv.1301.3781. +Mikolov, Tomas, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. “Efficient Estimation of Word Representations in Vector Space.” arXiv. https://doi.org/10.48550/arXiv.1301.3781.
    Mungall, Christopher J., Julie A. McMurry, Sebastian Köhler, James P. Balhoff, Charles Borromeo, Matthew Brush, Seth Carbon, et al. 2017. “The Monarch Initiative: An Integrative Data and Analytic Platform Connecting Phenotypes to Genotypes Across Species.” Nucleic Acids Research 45 (D1): D712–22. https://doi.org/10.1093/nar/gkw1128.
    -Murphy, Kitty B., Robert Gordon-Smith, Jai Chapman, Momoko Otani, Brian M. Schilder, and Nathan G. Skene. n.d. “Identification of Cell Type-Specific Gene Targets Underlying Thousands of Rare Diseases and Subtraits.” https://doi.org/10.1101/2023.02.13.23285820. +Murphy, Kitty B., Robert Gordon-Smith, Jai Chapman, Momoko Otani, Brian M. Schilder, and Nathan G. Skene. 2023. “Identification of Cell Type-Specific Gene Targets Underlying Thousands of Rare Diseases and Subtraits.” medRxiv. https://doi.org/10.1101/2023.02.13.23285820.
    -Nori, Harsha, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, et al. n.d. “Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.” https://doi.org/10.48550/arXiv.2311.16452. +Nori, Harsha, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, et al. 2023. “Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.” arXiv. https://doi.org/10.48550/arXiv.2311.16452.
    -O’Neil, Shawn T., Kevin Schaper, Glass Elsarboukh, Justin T. Reese, Sierra A. T. Moxon, Nomi L. Harris, Monica C. Munoz-Torres, Peter N. Robinson, Melissa A. Haendel, and Christopher J. Mungall. n.d. “Phenomics Assistant: An Interface for LLM-Based Biomedical Knowledge Graph Exploration.” https://doi.org/10.1101/2024.01.31.578275. +O’Neil, Shawn T., Kevin Schaper, Glass Elsarboukh, Justin T. Reese, Sierra A. T. Moxon, Nomi L. Harris, Monica C. Munoz-Torres, Peter N. Robinson, Melissa A. Haendel, and Christopher J. Mungall. 2024. “Phenomics Assistant: An Interface for LLM-Based Biomedical Knowledge Graph Exploration.” bioRxiv. https://doi.org/10.1101/2024.01.31.578275.
    Ochoa, David, Andrew Hercules, Miguel Carmona, Daniel Suveges, Asier Gonzalez-Uriarte, Cinzia Malangone, Alfredo Miranda, et al. 2021. “Open Targets Platform: Supporting Systematic Drug–Target Identification and Prioritisation.” Nucleic Acids Research 49 (D1): D1302–10. https://doi.org/10.1093/nar/gkaa1027.
    -OpenAI, Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, et al. n.d. “GPT-4 Technical Report.” https://doi.org/10.48550/arXiv.2303.08774. +OpenAI, Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, et al. 2024. “GPT-4 Technical Report.” arXiv. https://doi.org/10.48550/arXiv.2303.08774.
    -Pan, Jeff Z., Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, et al. n.d. “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” https://doi.org/10.48550/arXiv.2308.06374. +Pan, Jeff Z., Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, et al. 2023. “Large Language Models and Knowledge Graphs: Opportunities and Challenges.” arXiv. https://doi.org/10.48550/arXiv.2308.06374.
    Prieto, Luis, and José A Sacristán. 2003. “Problems and Solutions in Calculating Quality-Adjusted Life Years (QALYs).” Health and Quality of Life Outcomes 1 (December): 80. https://doi.org/10.1186/1477-7525-1-80. @@ -661,19 +682,19 @@

    References

    Singhal, Karan, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, et al. 2023. “Large Language Models Encode Clinical Knowledge.” Nature, July, 1–9. https://doi.org/10.1038/s41586-023-06291-2.
    -Singhal, Karan, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, et al. n.d. “Towards Expert-Level Medical Question Answering with Large Language Models.” https://doi.org/10.48550/arXiv.2305.09617. +Singhal, Karan, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, et al. 2023. “Towards Expert-Level Medical Question Answering with Large Language Models.” arXiv. https://doi.org/10.48550/arXiv.2305.09617.
    -Toro, Sabrina, Anna V. Anagnostopoulos, Sue Bello, Kai Blumberg, Rhiannon Cameron, Leigh Carmody, Alexander D. Diehl, et al. n.d. “Dynamic Retrieval Augmented Generation of Ontologies Using Artificial Intelligence (DRAGON-AI).” https://doi.org/10.48550/arXiv.2312.10904. +Toro, Sabrina, Anna V. Anagnostopoulos, Sue Bello, Kai Blumberg, Rhiannon Cameron, Leigh Carmody, Alexander D. Diehl, et al. 2023. “Dynamic Retrieval Augmented Generation of Ontologies Using Artificial Intelligence (DRAGON-AI).” arXiv. https://doi.org/10.48550/arXiv.2312.10904.
    Van Veen, Dave, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, et al. 2024. “Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization.” Nature Medicine, February, 1–9. https://doi.org/10.1038/s41591-024-02855-5.
    -Wei, Jerry, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Jie Huang, Dustin Tran, et al. n.d. “Long-Form Factuality in Large Language Models.” http://arxiv.org/abs/2403.18802. +Wei, Jerry, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Jie Huang, Dustin Tran, et al. 2024. “Long-Form Factuality in Large Language Models.” arXiv. http://arxiv.org/abs/2403.18802.
    -Zhang, Kai, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, et al. n.d. “BiomedGPT: A Unified and Generalist Biomedical Generative Pre-Trained Transformer for Vision, Language, and Multimodal Tasks.” https://doi.org/10.48550/arXiv.2305.17100. +Zhang, Kai, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, et al. 2023. “BiomedGPT: A Unified and Generalist Biomedical Generative Pre-Trained Transformer for Vision, Language, and Multimodal Tasks.” arXiv. https://doi.org/10.48550/arXiv.2305.17100.
    @@ -682,39 +703,81 @@

    References

    Supplementary Materials

    Supplementary Figures

    +
    +
    +
    +
    +
    + +
    +
    +Figure 4: Relationship between the consistency of GPT-4 annotations (using the stringent criterion) and the level of each phenotype within the HPO ontology (with the number of phenotypes in parentheses). Greater ontology levels (x-axis) indicate more specific phenotypes. The subtitle indicates summary statistics for the overall relationship between HPO level and the proportion of phenotypes that were annotated consistently. The p-values above each bar indicate whether the distribution of consistent/inconsistent annotations, within a given HPO level, significantly deviate from the expected null distribution. +
    +
    +
    +
    +Source: Article Notebook
    - +
    -Figure 4: Distribution of the composite GPT-4 severity score of the severity scores for all HPO terms. +Figure 5: Distribution of the composite GPT-4 severity score of the severity scores for all HPO terms.
    -Source: Article Notebook
    +Source: Article Notebook
    - +
    -Figure 5: Boxplot showing the relationship between composite severity score (y-axis) and the frequency response categories within each annotation type. +Figure 6: Boxplot showing the relationship between composite severity score (y-axis) and the frequency response categories within each annotation type.
    -Source: Article Notebook
    +Source: Article Notebook +
    +
    +
    +
    +
    + +
    +
    +Figure 7: Pearson correlations between each individual severity metric and the composite severity score (‘severity_score_gpt’). +
    +
    +
    +
    +Source: Article Notebook
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    +
    +
    +
    +
    + +
    +
    +Figure 8: Distribution of the composite GPT-4 severity score introduced in this paper (y-axis) by an approximation of the severity class system introduced Lazarin et al. (2014) (x-axis). While these are different schemes for ranking phenotype severity, there is a strong correspondence between them (see summary statistics in subtitle). The sample size (number of phenotypes) is shown in parentheses along the x-axis. +
    +
    +
    +
    +Source: Article Notebook

    Supplementary Tables

    -
    +
    @@ -722,11 +785,11 @@

    Supplementary Tables<

    -
    Intellectual disabilityIntellectual disability;
    Mental deterioration    		‘Intellectual disability’; ‘Mental deterioration’ 19
    Impaired mobilityGait disturbance;
    Diminished movement;
    mobility    		‘Gait disturbance’; ‘Diminished movement’; ’ mobility’ 319
    Physical malformationsmalformation‘malformation’ 78
    Blindnessblindness‘blindness’ 1
    Sensory impairmentsAbnormality of vision;
    Abnormality of the sense of smell;
    Abnormality of taste sensation;
    Somatic sensory dysfunction;
    Hearing abnormality    		‘Abnormality of vision’; ‘Abnormality of the sense of smell’; ‘Abnormality of taste sensation’; ‘Somatic sensory dysfunction’; ‘Hearing abnormality’ 252
    ImmunodeficiencyImmunodeficiency;
    Impaired antigen-specific response    		‘Immunodeficiency’; ‘Impaired antigen-specific response’ 29
    CancerCancer;
    malignant;
    carcinoma    		‘Cancer’; ‘malignant’; ‘carcinoma’ 56
    Reduced fertilityDecreased fertility;
    Hypogonadism    		‘Decreased fertility’; ‘Hypogonadism’ 9
    +
    ---+++ @@ -791,14 +854,17 @@

    Supplementary Tables< -Source: Article Notebook -Source: Article Notebook +Source: Article Notebook +Source: Article Notebook @@ -807,14 +873,14 @@

    Supplementary Tables< author = {B Murphy, Kitty and M Schilder, Brian and G Skene, Nathan}, title = {Harnessing {AI} to Annotate the Severity of All Phenotypic Abnormalities Within the {Human} {Phenotype} {Ontology}}, - date = {2024-04-19}, + date = {2024-05-14}, langid = {en} }
    For attribution, please cite this work as:
    B Murphy, Kitty, Brian M Schilder, and Nathan G Skene. 2024. “Harnessing AI to Annotate the Severity of All Phenotypic -Abnormalities Within the Human Phenotype Ontology.” medRxiv. -April 19, 2024. +Abnormalities Within the Human Phenotype Ontology.” medRxiv. May +14, 2024.
    -