SDPRX: A statistical method for cross-population prediction of complex traits.

ABSTRACT: Polygenic risk score (PRS) has demonstrated its great utility in biomedical research through identifying high-risk individuals for different diseases from their genotypes. However, the broader application of PRS to the general population is hindered by the limited transferability of PRS developed in Europeans to non-European populations. To improve PRS prediction accuracy in non-European populations, we develop a statistical method called SDPRX that can effectively integrate genome wide association study summary statistics from different populations. SDPRX automatically adjusts for linkage disequilibrium differences between populations and characterizes the joint distribution of the effect sizes of a variant in two populations to be both null, population specific, or shared with correlatio

SUBMITTER: Zhou G 

PROVIDER: S-EPMC9892700 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature