Organization of gene programs revealed by unsupervised analysis of diverse gene-trait associations.

ABSTRACT: Genome wide association studies provide statistical measures of gene-trait associations that reveal how genetic variation influences phenotypes. This study develops an unsupervised dimensionality reduction method called UnTANGLeD (Unsupervised Trait Analysis of Networks from Gene Level Data) which organizes 16,849 genes into discrete gene programs by measuring the statistical association between genetic variants and 1,393 diverse complex traits. UnTANGLeD reveals 173 gene clusters enriched for protein-protein interactions and highly distinct biological processes governing development, signalling, disease, and homeostasis. We identify diverse gene networks with robust interactions but not associated with known biological processes. Analysis of independent disease traits shows that UnTANGLeD

SUBMITTER: Mizikovsky D 

PROVIDER: S-EPMC9410900 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature