Evidence map›Paper›PMID 42282178›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Trans-ancestry genome-wide association meta-analysis of antidepressant response to selective serotonin reuptake inhibitors in clinical studies of depression.

Ke Hu, Chris Wai Hang Lo, Swapnil Awasthi, Oliver Pain, Madhurbain Singh, Yeeun Ahn, Katherine J Aitchison, Bernhard T Baune, Joanna M Biernacka, Guido Bondolfi and 26 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

36 authors.

Ke HuSocial, Genetic and Developmental Psychiatry Centre, King's College London, London, UK.ORCID 0009-0001-2144-5418
Chris Wai Hang LoSocial, Genetic and Developmental Psychiatry Centre, King's College London, London, UK.ORCID 0000-0002-3219-8942
Swapnil AwasthiDepartment of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-9692-8123
Oliver PainMaurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, King's College London, London, UK.ORCID 0000-0001-5680-3281
Madhurbain SinghSocial, Genetic and Developmental Psychiatry Centre, King's College London, London, UK.ORCID 0000-0002-9396-2860
Yeeun AhnDepartment of Digital Health, Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Katherine J AitchisonDepartments of Psychiatry and Medical Genetics and Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada.
Bernhard T BauneDepartment of Psychiatry, Melbourne Medical School, University of Melbourne, Melbourne, Australia.
Joanna M BiernackaDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
Guido BondolfiDepartment of Psychiatry, University of Geneva, Geneva, Switzerland.
Tania Carrillo-RoaDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.
Hong ChoiDepartment of Psychiatry, Samsung Medical Center, Seoul, Republic of Korea.
Darina CzamaraDepartment Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany.
Katharina DomschkeDepartment of Psychiatry and Psychotherapy, Medical Center, University of Freiburg, Freiburg, Germany.
Chiara FabbriDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Steven P HamiltonDepartment of Psychiatry, The Permanente Medical Group, San Francisco, CA, USA.
Marcus IsingMax Planck Institute of Psychiatry, Munich, Germany.
Yoonjeong JangDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Masaki KatoDepartment of Neuropsychiatry, Kansai Medical University, Osaka, Japan.
Doh Kwan KimDepartment of Psychiatry, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Dongjun KimGenoplan RnD Division, Genoplan, Seongnam, Republic of Korea.
Byung-Chul LeeGenoplan RnD Division, Genoplan, Seongnam, Republic of Korea.
Glyn LewisDivision of Psychiatry, University College London, London, UK.
Shinn-Won LimDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Yu-Li LiuCenter for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan.
Woojae MyungDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Nader PerroudDepartment of Psychiatry, University of Geneva, Geneva, Switzerland.
Alessandro SerrettiDepartment of Medicine and Surgery, Kore University of Enna, Enna, Italy.
Shih-Jen TsaiDepartment of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.
Rudolf UherDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.
Richard WeinshilboumDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
Hong-Hee WonDepartment of Digital Health, Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Major Depressive Disorder Working Group ofthe Psychiatric Genomics Consortium
Stephan RipkeDepartment of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0003-3622-835X
Jonathan Ri ColemanSocial, Genetic and Developmental Psychiatry Centre, King's College London, London, UK.ORCID 0000-0002-6759-0944
Cathryn M LewisSocial, Genetic and Developmental Psychiatry Centre, King's College London, London, UK.ORCID 0000-0002-8249-8476

Funding

Pharmacogenetics of Phase II Drug Metabolizing EnzymesU19GM061388 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2010 to 2014
$15.8M
Pharmacogenomics of Antidepressant ResponseR01MH072802 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAMILTON, STEVEN P. · 2005 to 2008
$4.6M
1/7 PGC: Advancing Discovery and ImpactR01MH124871 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BULIK, CYNTHIA M, SULLIVAN, PATRICK F · 2021 to 2025
$3.5M
5/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124873 · NIMH · CARDIFF UNIVERSITY · PI LEWIS, CATHRYN, O'DONOVAN, MICHAEL · 2021 to 2025
$2.6M
NIGMS NIH HHS U19 GM061388NIMH NIH HHS R01 MH072802NIMH NIH HHS R01 MH124871NIMH NIH HHS R01 MH124873Wellcome Trust
6 · The paper itself

Abstract

Antidepressants are widely prescribed for major depressive disorder, yet only one-third of patients achieve remission after initial treatment. Previous genome-wide association studies (GWAS) of clinically assessed antidepressant response combined multiple antidepressant classes, potentially obscuring class-specific effects. This study focused on selective serotonin reuptake inhibitors (SSRIs), often first-line due to better tolerability. Data from 15 cohorts across four ancestries were integrated: European (N = 3887; 11 studies), East Asian (N = 1068; 4), African (N = 277; 1), and Admixed American (N = 250; 1). GWAS of non-remission and percentage improvement were conducted within cohorts, followed by ancestry-specific meta-analyses and trans-ancestry meta-regression. Single nucleotide polymorphism (SNP)-based heritability was estimated in European samples. Polygenic scores were used for leave-one-out prediction and to assess shared genetic architecture with psychiatric traits. Gene-level and gene-set enrichment analyses were also performed. No genome-wide significant variants were identified for either outcome in any ancestry-specific or trans-ancestry analyses. However, trans-ancestry meta-regression yielded eight independent loci with suggestive associations (p < 1 × 10

Identifiers

PMID42282178
PMCPMC13252474

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.