Meta-analysis of urinary metabolite GWAS studies identifies novel genome-wide significant loci.

ABSTRACT: Genome-wide association studies (GWAS) have substantially enhanced the understanding of genetic influences on phenotypic outcomes; however, realizing their full potential requires an aggregate analysis of numerous studies. Here we represent the first comprehensive meta-analysis of urinary metabolite GWAS studies, aiming to consolidate existing data on metabolite-SNP associations, evaluate consistency across studies, and unravel novel genetic links. Following an extensive literature review and data collection through the EMBL-EBI GWAS Catalog, PubMed, and metabolomix.com, we employed a sample size-based meta-analytic approach to evaluate the significance of previously reported GWAS associations. Our analysis identified 48 independent lead SNPs correlated with the levels of 14 unique urinary

SUBMITTER: Zaki JK 

PROVIDER: S-EPMC12217396 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature