Pervasive Interactions between Exposures and Polygenic Risk can Inform more Effective Clinical and Behavioral Intervention

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Authors: Sini Nagpal, G Gibson
Cited by: 1

Abstract

R scripts: Pairwise PGSxE using liability threshold disease risk modeling of prevalence vs percentile PGS relationships Amplification using MASH Proportion needed to benefit computation Simulations All figures from the Rshiny app (https://canalization-gibsonlab.shinyapps.io/dualPGSxE/) for (i) prevalence/incidence vs percentile PGS w.r.t pairs of contexts; (ii) chord diagrams showing top context pairs showing PGSxC for each disease; (iii) Proportion needed to benefit (PNB) for each disease and modifiable context pairs.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 June 2026