Quantifying portable genetic effects and improving cross-ancestry genetic prediction with GWAS summary statistics.

ABSTRACT: Polygenic risk scores (PRS) calculated from genome-wide association studies (GWAS) of Europeans are known to have substantially reduced predictive accuracy in non-European populations, limiting their clinical utility and raising concerns about health disparities across ancestral populations. Here, we introduce a statistical framework named X-Wing to improve predictive performance in ancestrally diverse populations. X-Wing quantifies local genetic correlations for complex traits between populations, employs an annotation-dependent estimation procedure to amplify correlated genetic effects between populations, and combines multiple population-specific PRS into a unified score with GWAS summary statistics alone as input. Through extensive benchmarking, we demonstrate that X-Wing pinpoints por

SUBMITTER: Miao J 

PROVIDER: S-EPMC9929290 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature