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ABSTRACT: Objective
Mental disorders are heritable and polygenic, and genome-wide genetic correlations (rg) have indicated widespread shared genetic risk across multiple disorders and related traits, mirroring their overlapping clinical characteristics. However, rg may underestimate the shared genetic underpinnings of mental disorders and related traits because it does not differentiate mixtures of concordant and discordant genetic effects from an absence of genetic overlap. Using novel statistical genetics tools, the authors aimed to evaluate the genetic overlap between mental disorders and related traits when accounting for mixed effect directions.Methods
The authors applied the bivariate causal mixture model (MiXeR) to summary statistics for four mental disor
SUBMITTER: Hindley G
PROVIDER: S-EPMC9633354 | biostudies-literature | 2022 Nov
REPOSITORIES: biostudies-literature