Estimating genetic nurture with summary statistics of multigenerational genome-wide association studies.
Ontology highlight
ABSTRACT: Marginal effect estimates in genome-wide association studies (GWAS) are mixtures of direct and indirect genetic effects. Existing methods to dissect these effects require family-based, individual-level genetic, and phenotypic data with large samples, which is difficult to obtain in practice. Here, we propose a statistical framework to estimate direct and indirect genetic effects using summary statistics from GWAS conducted on own and offspring phenotypes. Applied to birth weight, our method showed nearly identical results with those obtained using individual-level data. We also decomposed direct and indirect genetic effects of educational attainment (EA), which showed distinct patterns of genetic correlations with 45 complex traits. The known genetic correlations between EA and higher heig
SUBMITTER: Wu Y
PROVIDER: S-EPMC8237646 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature
ACCESS DATA