Meta-analysis of set-based multiple phenotype association test based on GWAS summary statistics from different cohorts.

ABSTRACT: Genome-wide association studies (GWAS) have emerged as popular tools for identifying genetic variants that are associated with complex diseases. Standard analysis of a GWAS involves assessing the association between each variant and a disease. However, this approach suffers from limited reproducibility and difficulties in detecting multi-variant and pleiotropic effects. Although joint analysis of multiple phenotypes for GWAS can identify and interpret pleiotropic loci which are essential to understand pleiotropy in diseases and complex traits, most of the multiple phenotype association tests are designed for a single variant, resulting in much lower power, especially when their effect sizes are small and only their cumulative effect is associated with multiple phenotypes. To overcome these

SUBMITTER: Zhu L 

PROVIDER: S-EPMC11410627 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature