Trait selection strategy in multi-trait GWAS: Boosting SNP discoverability.

ABSTRACT: Since the first genome-wide association studies (GWASs), thousands of variant-trait associations have been discovered. However, comprehensively mapping the genetic determinant of complex traits through univariate testing can require prohibitive sample sizes. Multi-trait GWAS can circumvent this issue and improve statistical power by leveraging the joint genetic architecture of human phenotypes. Although many methodological hurdles of multi-trait testing have been solved, the strategy to select traits has been overlooked. In this study, we conducted multi-trait GWAS on approximately 20,000 combinations of 72 traits using an omnibus test as implemented in the Joint Analysis of Summary Statistics. We assessed which genetic features of the sets of traits analyzed were associated with an increa

SUBMITTER: Suzuki Y 

PROVIDER: S-EPMC11260573 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature