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 ancestry 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. SuSiEx integrates data from an arbitrary number of ancestries, explicitly models population-specific allele frequencies and linkage disequilibrium patterns, accounts for multiple causal variants in a genomic region and can be applied to GWAS s

SUBMITTER: Yuan K 

PROVIDER: S-EPMC11888783 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature