S4-multi: Enhancing polygenic score prediction in ancestrally diverse populations.

ABSTRACT: Polygenic scores (PGSs) have shown promise in advancing precision medicine by capturing the additive effects of common genetic variants to assess inherited disease risk. However, their predictive accuracy remains limited in non-European populations. We enhanced our previously developed Bayesian polygenic model, "select and shrink with summary statistics" (S4), by introducing a multi-ancestry extension (S4-Multi) to improve prediction accuracy across African, American, East Asian, European, and South Asian ancestries. By leveraging simulated data and biobank cohorts from UK Biobank, FinnGen, Biobank Japan, the All of Us Research Program, and the Global Biobank Meta-Analysis Initiative, we benchmarked S4-Multi against leading methods for predicting type 2 diabetes, breast cancer, colorectal

SUBMITTER: Baierl J 

PROVIDER: S-EPMC12799782 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature