Localizing Components of Shared Transethnic Genetic Architecture of Complex Traits from GWAS Summary Data.

ABSTRACT: Despite strong transethnic genetic correlations reported in the literature for many complex traits, the non-transferability of polygenic risk scores across populations suggests the presence of population-specific components of genetic architecture. We propose an approach that models GWAS summary data for one trait in two populations to estimate genome-wide proportions of population-specific/shared causal SNPs. In simulations across various genetic architectures, we show that our approach yields approximately unbiased estimates with in-sample LD and slight upward-bias with out-of-sample LD. We analyze nine complex traits in individuals of East Asian and European ancestry, restricting to common SNPs (MAF > 5%), and find that most common causal SNPs are shared by both populations. Using the g

SUBMITTER: Shi H 

PROVIDER: S-EPMC7273527 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature