Pain, Oliver;
Hodgson, Karen;
Trubetskoy, Vassily;
Ripke, Stephan;
Marshe, Victoria S;
Adams, Mark J;
Byrne, Enda M;
... Lewis, Cathryn M; + view all
(2022)
Identifying the Common Genetic Basis of Antidepressant Response.
Biological Psychiatry Global Open Science
, 2
(2)
pp. 115-126.
10.1016/j.bpsgos.2021.07.008.
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Abstract
BACKGROUND: Antidepressants are a first-line treatment for depression. However, only a third of individuals experience remission after the first treatment. Common genetic variation, in part, likely regulates antidepressant response, yet the success of previous genome-wide association studies has been limited by sample size. This study performs the largest genetic analysis of prospectively assessed antidepressant response in major depressive disorder to gain insight into the underlying biology and enable out-of-sample prediction. METHODS: Genome-wide analysis of remission (nremit = 1852, nnonremit = 3299) and percentage improvement (n = 5218) was performed. Single nucleotide polymorphism–based heritability was estimated using genome-wide complex trait analysis. Genetic covariance with eight mental health phenotypes was estimated using polygenic scores/AVENGEME. Out-of-sample prediction of antidepressant response polygenic scores was assessed. Gene-level association analysis was performed using MAGMA and transcriptome-wide association study. Tissue, pathway, and drug binding enrichment were estimated using MAGMA. RESULTS: Neither genome-wide association study identified genome-wide significant associations. Single nucleotide polymorphism–based heritability was significantly different from zero for remission (h2 = 0.132, SE = 0.056) but not for percentage improvement (h2 = −0.018, SE = 0.032). Better antidepressant response was negatively associated with genetic risk for schizophrenia and positively associated with genetic propensity for educational attainment. Leave-one-out validation of antidepressant response polygenic scores demonstrated significant evidence of out-of-sample prediction, though results varied in external cohorts. Gene-based analyses identified ETV4 and DHX8 as significantly associated with antidepressant response. CONCLUSIONS: This study demonstrates that antidepressant response is influenced by common genetic variation, has a genetic overlap schizophrenia and educational attainment, and provides a useful resource for future research. Larger sample sizes are required to attain the potential of genetics for understanding and predicting antidepressant response.
| Type: | Article |
|---|---|
| Title: | Identifying the Common Genetic Basis of Antidepressant Response |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.bpsgos.2021.07.008 |
| Publisher version: | https://doi.org/10.1016/j.bpsgos.2021.07.008 |
| Language: | English |
| Additional information: | © 2021 The Authors. Published by Elsevier Inc on behalf of the Society of Biological Psychiatry under a Creative Commons license (https://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Antidepressant response, Depression, GWAS, Genetics, MDD, Polygenic score |
| UCL classification: | UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10150984 |
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