Combining xQTL and genome-wide association studies from ethnically diverse populations improves druggable gene discovery.

ABSTRACT: Repurposing existing medicines to target disease-associated genes represents a promising strategy for developing new treatments for complex diseases. However, progress has been hindered by a lack of viable candidate drug targets identified through genome-wide association studies (GWAS). Gene-based association tests provide a more powerful alternative to traditional single nucleotide polymorphism (SNP)-based methods, yet current approaches often fail to leverage shared heritability across populations and to effectively integrate functional genomic data. To address these challenges, we developed GenT and its various extensions, comprising a framework of gene-based tests utilizing summary-level GWAS data. Using GenT, we identified 16, 15, 35, and 83 druggable genes linked to Alzheimer's disea

SUBMITTER: Lorincz-Comi N 

PROVIDER: S-EPMC12154160 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature