Shared components of heritability across genetically correlated traits.
Ontology highlight
ABSTRACT: Most disease-associated genetic variants are pleiotropic, affecting multiple genetically correlated traits. Their pleiotropic associations can be mechanistically informative: if many variants have similar patterns of association, they may act via similar pleiotropic mechanisms, forming a shared component of heritability. We developed pleiotropic decomposition regression (PDR) to identify shared components and their underlying genetic variants. We validated PDR on simulated data and identified limitations of existing methods in recovering the true components. We applied PDR to three clusters of five to six traits genetically correlated with coronary artery disease (CAD), asthma, and type II diabetes (T2D), producing biologically interpretable components. For CAD, PDR identified components r
SUBMITTER: Ballard JL
PROVIDER: S-EPMC9247834 | biostudies-literature | 2022 Jun
REPOSITORIES: biostudies-literature
ACCESS DATA