Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits.

ABSTRACT: Genetic correlations estimated from genome-wide association studies (GWASs) reveal pervasive pleiotropy across a wide variety of phenotypes. We introduce genomic structural equation modelling (genomic SEM): a multivariate method for analysing the joint genetic architecture of complex traits. Genomic SEM synthesizes genetic correlations and single-nucleotide polymorphism heritabilities inferred from GWAS summary statistics of individual traits from samples with varying and unknown degrees of overlap. Genomic SEM can be used to model multivariate genetic associations among phenotypes, identify variants with effects on general dimensions of cross-trait liability, calculate more predictive polygenic scores and identify loci that cause divergence between traits. We demonstrate several applicati

SUBMITTER: Grotzinger AD 

PROVIDER: S-EPMC6520146 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature