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danielramskold/additive_risk_heterogeneity_multiplicative_risk_synergism

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Simulations python3 code:

  • spike_in_plots13_ordered.py contains code for five models of spiking in risk factors, including correlation calculation
  • spike_in_plot_3loci.py is an example of three risk factors
  • spike_in_plots_thresholdforfive.py is an example of a multifactorial threshold model
  • spike_in_plots14_hetcalc.py is a failed attempt to employ a formula for the relative risk of the heterogeneity model

Rheumatoid arthritis python3 code:

  • calc_risk_square_modelrandomizations.py is code for generating odds ratios, including for two permutation controls
  • fewsnps_obstoexp_distribution.ipynb is a Jupyter notebook for matching known risk SNPs to additive or multiplicative effect, based on the output from calc_risk_square_modelrandomizations.py
  • eira_randomised_distibutions.ipynb plots all SNPs from the output of calc_risk_square_modelrandomizations.py
  • SE.ipynb plots the output from GEISA

Other:

  • dr_tools.py is support code (library) for the other ones
  • Model_I-V_sim.py does not produce plots, but instead allows the user to play around with numbers to try out the five models of spike_in_plots13_ordered.py

All programs run in Python 3.7, and some have been tested in Python 3.6.

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