biorxiv publication (#3)

lcrawlab · Jan 14, 2025 · 506e383 · 506e383
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -10,6 +10,7 @@ Authors@R: c(
     role = "aut", comment = c(ORCID = "0000-0003-0178-8242")))
 Description: A computationally efficient genetics method which detects
     statistical epistasis in complex traits.
+    Stamp et al. (2025) <https://doi.org/10.1101/2025.01.11.632557>
 License: MIT + file LICENSE
 Encoding: UTF-8
 Roxygen: list(markdown = TRUE)

diff --git a/R/sme.R b/R/sme.R
@@ -4,10 +4,9 @@
 #' concentrates the scans for epistasis to regions of the genome that have known
 #' functional enrichment for a trait of interest.
 #'
-#' @references Stamp, J., Pattillo Smith, S., Weinreich, D., & Crawford, L. (2024).
-#' Integration of functional genomic maps enables genome-wide detection of
-#' epistasis in human complex traits.
-#' bioRxiv.
+#' @references Stamp, J., Pattillo Smith, S., Weinreich, D., & Crawford, L. (2025).
+#' Sparse modeling of interactions enables fast detection of genome-wide
+#' epistasis in biobank-scale studies. bioRxiv, 2025.01.11.632557.
 #' @references Stamp, J., DenAdel, A., Weinreich, D., & Crawford, L. (2023).
 #' Leveraging the genetic correlation between traits improves the detection of
 #' epistasis in genome-wide association studies.