William Astle

Aug 26, 2024 | biorxiv.org | Feng Zhou |William Astle |Adam S. Butterworth |Jennifer Lea Asimit

AbstractGenome-wide association studies (GWAS) of high-dimensional traits, such as molecular phenotypes or imaging features, often use univariate approaches, ignoring information from related traits. Biological mechanisms generating variation in high-dimensional traits can be captured parsimoniously through GWAS of a smaller number of latent factors from factor analysis. Here, we introduce a zero-correlation multi-trait fine-mapping approach, flashfmZero, for any number of latent factors.