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

ABSTRACT: Since the first Genome-Wide Association Studies (GWAS), thousands of variant-trait associations have been discovered. However, the sample size required to detect additional variants using standard univariate association screening is increasingly prohibitive. Multi-trait GWAS offers a relevant alternative: it can improve statistical power and lead to new insights about gene function and the joint genetic architecture of human phenotypes. Although many methodological hurdles of multi-trait testing have been discussed, the strategy to select trait, among overwhelming possibilities, has been overlooked. In this study, we conducted extensive multi-trait tests using JASS (Joint Analysis of Summary Statistics) and assessed which genetic features of the analysed sets were associated with an increa

SUBMITTER: Suzuki Y 

PROVIDER: S-EPMC10634875 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature