Fine-mapping across diverse ancestries drives the discovery of putative causal variants underlying human complex traits and diseases.

ABSTRACT: Genome-wide association studies (GWAS) of human complex traits or diseases often implicate genetic loci that span hundreds or thousands of genetic variants, many of which have similar statistical significance. While statistical fine-mapping in individuals of European ancestries has made important discoveries, cross-population fine-mapping has the potential to improve power and resolution by capitalizing on the genomic diversity across ancestries. Here we present SuSiEx, an accurate and computationally efficient method for cross-population fine-mapping, which builds on the single-population fine-mapping framework, Sum of Single Effects (SuSiE). SuSiEx integrates data from an arbitrary number of ancestries, explicitly models population-specific allele frequencies and LD patterns, accounts fo

SUBMITTER: Yuan K 

PROVIDER: S-EPMC9882563 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature