Risk factors affecting polygenic score performance across diverse cohorts.

ABSTRACT: Apart from ancestry, personal or environmental covariates may contribute to differences in polygenic score (PGS) performance. We analyzed effects of covariate stratification and interaction on body mass index (BMI) PGS (PGS_BMI) across four cohorts of European (N=491,111) and African (N=21,612) ancestry. Stratifying on binary covariates and quintiles for continuous covariates, 18/62 covariates had significant and replicable R² differences among strata. Covariates with the largest differences included age, sex, blood lipids, physical activity, and alcohol consumption, with R² being nearly double between best and worst performing quintiles for certain covariates. 28 covariates had significant PGS_BMI-covariate interaction effects, modifying PGS_B

SUBMITTER: Hui D 

PROVIDER: S-EPMC11030495 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature