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ABSTRACT: Background
Major depressive disorder (MDD) is a leading cause of disease-associated disability, with much of the increased burden due to psychiatric and medical comorbidity. This comorbidity partly reflects common genetic influences across conditions. Integrating molecular-genetic tools with health records enables tests of association with the broad range of physiological and clinical phenotypes. However, standard phenome-wide association studies analyze associations with individual genetic variants. For polygenic traits such as MDD, aggregate measures of genetic risk may yield greater insight into associations across the clinical phenome.Methods
We tested for associations between a genome-wide polygenic risk score for MDD and medical and psychiatric traits in a phenome-wid
SUBMITTER: Fang Y
PROVIDER: S-EPMC10712651 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature