Genome-wide meta-analyses of non-response to antidepressants identify novel loci and potential drugs.

ABSTRACT: Antidepressants exhibit a considerable variation in efficacy, and increasing evidence suggests that individual genetics contribute to antidepressant treatment response. Here, we combined data on antidepressant non-response measured using rating scales for depressive symptoms, questionnaires of treatment effect, and data from electronic health records, to increase statistical power to detect genomic loci associated with non-response to antidepressants in a total sample of 135,471 individuals prescribed antidepressants (25,255 non-responders and 110,216 responders). We performed genome-wide association meta-analyses, genetic correlation analyses, leave-one-out polygenic prediction, and bioinformatics analyses for genetically informed drug prioritization. We identified two novel loci (rs11062

SUBMITTER: Koch E 

PROVIDER: S-EPMC11703334 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature