A methylome-wide association study of major depression with out-of-sample case–control classification and trans-ancestry comparison

Xueyi Shen(University of Edinburgh), Miruna C. Barbu(University of Edinburgh), Doretta Caramaschi(University of Exeter), Ryan Arathimos(King's College London), Darina Czamara(Max Planck Institute of Psychiatry), Friederike S. David(University of Bonn), Anna Dearman(University of Essex), Evelyn Dilkes(University of Essex), Marisol Herrera-Rivero(University of Münster), Floris Huider(Vrije Universiteit Amsterdam), Annemarie Luise Kühn(Universitätsmedizin Greifswald), Kuan-Chen Lu(National Taiwan University), Teemu Palviainen(Institute for Molecular Medicine Finland), Alicia M. Schowe(Max Planck Institute of Psychiatry), Gemma Shireby(University of Exeter), Antoine Weihs(Universitätsmedizin Greifswald), Chloe C. Y. Wong(King's College London), Eleanor Davyson(University of Edinburgh), Hannah Casey(University of Edinburgh), Mark J. Adams(University of Edinburgh), Antje‐Kathrin Allgaier(Universität der Bundeswehr München), M. Barber(Institute of Genetics and Cancer), Joe Burrage(University of Exeter), Avshalom Caspi(King's College London), Ricardo Costeira(King's College London), Erin C. Dunn(Harvard University), Lisa Feldmann(LMU Klinikum), Josef Frank(Heidelberg University), Franz Joseph Freisleder, Danni A. Gadd(Edinburgh Cancer Research), Ellen Greimel(LMU Klinikum), Eilís Hannon(University of Exeter), Sarah E. Harris(NHS Lothian), Georg Homuth(Universitätsmedizin Greifswald), David M. Howard(King's College London), Stella Iurato(Roche Pharma AG (Germany)), Tellervo Korhonen(Institute for Molecular Medicine Finland), Tzu‐Pin Lu(National Taiwan University), Nicholas G. Martin(QIMR Berghofer Medical Research Institute), Jade Martins(Knorr-Bremse (Germany)), Edel McDermott(St. Vincent's University Hospital), Susanne Meinert(University of Münster), Pau Navarro(Roslin Institute), Miina Ollikainen(Minerva Foundation), Verena Pehl(LMU Klinikum), Charlotte Piechaczek(LMU Klinikum), Aline D. Scherff(LMU Klinikum), Frederike Stein(Philipps University of Marburg), Fabian Streit(Heidelberg University), Alexander Teumer(Universitätsmedizin Greifswald), Henry Völzke(Universitätsmedizin Greifswald), Jenny van Dongen(University of Exeter), Rosie M. Walker(University of Exeter), Natan Yusupov(King's College London), Louise Arseneault(King's College London), Jordana T. Bell(King's College London), Klaus Peter Berger(University of Münster), Elisabeth B. Binder(Max Planck Institute of Psychiatry), Dorret I. Boomsma(NHS Lothian), Simon R. Cox(NHS Lothian), Udo Dannlowski(University of Münster), Kathryn L. Evans(King's College London), Helen L. Fisher(Philipps University of Marburg), Andreas J. Forstner(University of Bonn), Hans J. Grabe(Universitätsmedizin Greifswald), Jaakko Kaprio(Philipps University of Marburg), Tilo Kircher(Philipps University of Marburg), Johannes Kopf‐Beck(University of Essex), Meena Kumari(University of Essex), Po‐Hsiu Kuo(National Taiwan University), Qingqin S. Li(Duke University), Terrie E. Moffitt(King's College London), Hugh Mulcahy(University College Dublin), Therese M. Murphy(LMU Klinikum), Gerd Schulte‐Körne(University of Exeter), Jonathan Mill(King's College London), Cathryn M. Lewis(King's College London), PGC MDD Working Group(The University of Queensland), Jenny van Dongen(Vrije Universiteit Amsterdam), Naomi R. Wray(The University of Queensland), Andrew M. McIntosh(University of Edinburgh)
Nature Mental Health
September 16, 2025
Cited by 6Open Access
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Abstract

Major depression (MD) is a leading cause of global disease burden, and both experimental and population-based studies suggest that differences in DNA methylation may be associated with the condition. However, previous DNA methylation studies have, so far, not been widely replicated, suggesting a need for larger meta-analysis studies. Here we conducted a meta-analysis of methylome-wide association analysis for lifetime MD across 18 studies of 24,754 European-ancestry participants (5,443 MD cases) and an East Asian sample (243 cases, 1,846 controls). We identified 15 CpG sites associated with lifetime MD with methylome-wide significance. The methylation score created using the methylome-wide association analysis summary statistics was significantly associated with MD status in an out-of-sample classification analysis (area under the curve 0.53). Methylation score was also associated with five inflammatory markers, with the strongest association found with tumor necrosis factor beta. Mendelian randomization analysis revealed 23 CpG sites potentially causally linked to MD, with 7 replicated in an independent dataset. Our study provides evidence that variations in DNA methylation are associated with MD, and further evidence supporting involvement of the immune system.


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