Powerful mapping of <i>cis</i>-genetic effects on gene expression across diverse populations reveals novel disease-critical genes.

ABSTRACT: While disease-associated variants identified by genome-wide association studies (GWAS) most likely regulate gene expression levels, linking variants to target genes is critical to determining the functional mechanisms of these variants. Genetic effects on gene expression have been extensively characterized by expression quantitative trait loci (eQTL) studies, yet data from non-European populations is limited. This restricts our understanding of disease to genes whose regulatory variants are common in European populations. While previous work has leveraged data from multiple populations to improve GWAS power and polygenic risk score (PRS) accuracy, multi-ancestry data has not yet been used to better estimate cis-genetic effects on gene expression. Here, we present a new method, Multi

SUBMITTER: Akamatsu K 

PROVIDER: S-EPMC11469471 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature