Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
41261141
TITLE
Genome-wide meta-analyses of non-response to antidepressants provide insights into underlying molecular genetics and suggest potential pharmacotherapies.
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 one novel locus (rs1106260) associated with non-response to selective serotonin reuptake inhibitors (SSRIs), and one novel locus (rs60847828) associated with non-response to SSRIs and serotonin-norepinephrine reuptake inhibitors (SNRIs) and showed significant polygenic prediction in independent samples. Genetic correlation analyses show positive associations between non-response to antidepressants and most psychiatric traits, and negative associations with cognitive traits and subjective well-being. In addition, we investigated drugs that target proteins likely involved in mechanisms underlying antidepressant non-response, and shortlisted drugs that warrant further replication and validation of their potential to reduce depressive symptoms in individuals who do not respond to first-line antidepressant medications. These results suggest that meta-analyses of GWAS utilizing real-world measures of treatment outcomes can increase sample sizes to improve the discovery of variants associated with non-response to antidepressants.
© 2025. The Author(s), under exclusive licence to Springer Nature Limited.
DATE PUBLISHED
2025 Nov 19
HISTORY
PUBSTATUS PUBSTATUSDATE
received 2024/11/08
accepted 2025/11/06
revised 2025/10/06
medline 2025/11/20 00:30
pubmed 2025/11/20 00:30
entrez 2025/11/19 23:15
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Koch E Koch Elise E Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway. e.m.koch@medisin.uio.no.
Puusepp T Puusepp Tuuli T Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Einarsson G Einarsson Guðmundur G deCODE Genetics/Amgen, Reykjavík, Iceland.
Mitchell BL Mitchell Brittany L BL School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Harder A Harder Arvid A Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Lin Y Lin Yuhao Y Institute of Psychiatry, Psychology & Neuroscience; Social, Genetic & Developmental Psychiatry Centre; King's College London, London, UK.
García-Marín LM García-Marín Luis M LM School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Krebs K Krebs Kristi K Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Shadrin AA Shadrin Alexey A AA KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway.
Xiong Y Xiong Ying Y Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Estonian Biobank Research Team
Frei O Frei Oleksandr O Center for Bioinformatics, Department of Informatics, University of Oslo, 0316, Oslo, Norway.
Lu Y Lu Yi Y Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Hägg S Hägg Sara S Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Rentería ME Rentería Miguel E ME Brain & Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Medland SE Medland Sarah E SE Brain & Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Wray NR Wray Naomi R NR Department of Psychiatry, The University of Oxford, Oxford, UK.
Martin NG Martin Nicholas G NG Brain & Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Hübel C Hübel Christopher C National Centre for Register-based Research, Aarhus Business and Social Sciences, Aarhus University, Aarhus, Denmark.
Breen G Breen Gerome G Institute of Psychiatry, Psychology & Neuroscience; Social, Genetic & Developmental Psychiatry Centre; King's College London, London, UK.
Thorgeirsson T Thorgeirsson Thorgeir T deCODE Genetics/Amgen, Reykjavík, Iceland.
Stefánsson H Stefánsson Hreinn H deCODE Genetics/Amgen, Reykjavík, Iceland.
Stefánsson K Stefánsson Kári K Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland.
Lehto K Lehto Kelli K Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Milani L Milani Lili L Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Andreassen OA Andreassen Ole A OA KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway. ole.andreassen@medisin.uio.no.
O'Connell KS O'Connell Kevin S KS Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway. k.s.oconnell@medisin.uio.no.
INVESTIGATORS
LASTNAME FORENAME INITIALS AFFILIATION
Metspalu Andres A
Esko Tõnu T
Mägi Reedik R
Nelis Mari M
Hudjashov Georgi G
JOURNAL
VOLUME:
ISSUE:
TITLE: Molecular psychiatry
ISOABBREVIATION: Mol Psychiatry
YEAR: 2025
MONTH: Nov
DAY: 19
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1476-5578
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: Mol Psychiatry
COUNTRY: England
ISSNLINKING: 1359-4184
NLMUNIQUEID: 9607835
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
COMMENTS AND CORRECTIONS
REFTYPE REFSOURCE REFPMID NOTE
UpdateOf Res Sq. 2024 Dec 23:rs.3.rs-5418279. doi: 10.21203/rs.3.rs-5418279/v1. 39764137
GRANTS
GRANTID AGENCY COUNTRY
2021-02615_VR Vetenskapsrådet (Swedish Research Council)
2021-02732 Vetenskapsrådet (Swedish Research Council)
964874 EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
296030 Norges Forskningsråd (Research Council of Norway)
223273 Norges Forskningsråd (Research Council of Norway)
GENERAL NOTE
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