Genome-wide gene-environment interaction in depression: A systematic evaluation of candidate genes: The childhood trauma working-group of PGC-MDD

  • Sandra Van der Auwera
  • , Wouter J Peyrot
  • , Yuri Milaneschi
  • , Johannes Hertel
  • , Bernhard Baune
  • , Gerome Breen
  • , Enda Byrne
  • , Erin C Dunn
  • , Helen Fisher
  • , Georg Homuth
  • , Douglas Levinson
  • , Cathryn Lewis
  • , Natalie Mills
  • , Niamh Mullins
  • , Matthias Nauck
  • , Giorgio Pistis
  • , Martin Preisig
  • , Marcella Rietschel
  • , Stephan Ripke
  • , Patrick Sullivan
  • Alexander Teumer, Henry Völzke, Dorret I Boomsma, Naomi R Wray, Brenda Penninx, Hans Grabe, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

Gene by environment (GxE) interaction studies have investigated the influence of a number of candidate genes and variants for major depressive disorder (MDD) on the association between childhood trauma and MDD. Most of these studies are hypothesis driven and investigate only a limited number of SNPs in relevant pathways using differing methodological approaches. Here (1) we identified 27 genes and 268 SNPs previously associated with MDD or with GxE interaction in MDD and (2) analyzed their impact on GxE in MDD using a common approach in 3944 subjects of European ancestry from the Psychiatric Genomics Consortium who had completed the Childhood Trauma Questionnaire. (3) We subsequently used the genome-wide SNP data for a genome-wide case-control GxE model and GxE case-only analyses testing for an enrichment of associated SNPs. No genome-wide significant hits and no consistency among the signals of the different analytic approaches could be observed. This is the largest study for systematic GxE interaction analysis in MDD in subjects of European ancestry to date. Most of the known candidate genes/variants could not be supported. Thus, their impact on GxE interaction in MDD may be questionable. Our results underscore the need for larger samples, more extensive assessment of environmental exposures, and greater efforts to investigate new methodological approaches in GxE models for MDD.

Original languageEnglish
Pages (from-to)40-49
Number of pages10
JournalAmerican Journal of Medical Genetics Part B: Neuropsychiatric Genetics
Volume177
Issue number1
Early online date21 Nov 2017
DOIs
Publication statusPublished - 2 Jan 2018

Funding

Statistical analyses were carried out on the Genetic Cluster Computer (http://www.geneticcluster.org) hosted by SURFsara and financially supported by the Netherlands Scientific Organization (NWO 480-05-003 PI: Posthuma) along with a supplement from the Dutch Brain Foundation and the VU University Amsterdam. Lausanne, and the Swiss National Science Foundation (grants 3200B0-105993, 3200B0-118308, 33CSCO-122661, 33CS30-139468 and 33CS30-148401). This report represents independent research part-funded by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health. The RADIANT studies were funded by a joint grant from the UK Medical Research Council, GlaxoSmithKline (G0701420) and by the National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health at South London and Maudsley NHS Foundation Trust and Institute of Psychiatry, Psychology and Neuroscience, King's College London. N.M. and C.M.L. have received funding from the European Community's Seventh Framework Programme under the Marie Curie Industry-Academia Partnership and Pathways (grant 286213). H.L.F. is supported by an MQ Fellows Award (MQ14F40). We thank all individuals who participated in the RADIANT study and all involved with data collection and management. SHIP is part of the Community Medicine Research net of the University of Greifswald, Germany, which is funded by the Federal Ministry of Education and Research Grant Nos. 01ZZ9603, 01ZZ0103, and 01ZZ0403; the Ministry of Cultural Affairs; and the Social Ministry of the Federal State of Mecklenburg-West Pomerania. Genome-wide data were supported by the Federal Ministry of Education and Research Grant No. 03ZIK012 and a joint grant from Siemens Healthcare, Erlangen, Germany, and the Federal State of Mecklen-burg-West Pomerania. The University of Greifswald is a member of the “Center of Knowledge Interchange” program of the Siemens AG. SHIP-LEGEND is funded by the German Research Foundation (DFG: GR 1912/5-1). S. V. was supported by the German Federal Ministry of Education and Research within the framework of the e:Med research and funding concept (IntegraMent) Grant No. 01ZX1314E. The CoLaus|PsyCoLaus study was and is supported by research grants from GlaxoSmithKline, the Faculty of Biology and Medicine of NRW acknowledges funding from the Australian National Health and Medical Research Council 1078901, 1087889. GlaxoSmithKline Australia, Grant number: G0701420; European Science Council, Grant number: 230374; Netherlands Organization for Health Research and Development, Grant number: 10-000-1002; Australian National Health and Medical Research Council, Grant numbers: 1078901, 1087889; NBIC/BioAssist/RK, Grant number: 2008.024; MQ Fellows Award, Grant number: MQ14F40; BBMRI-NL, Grant number: 184.021.007; Marie Curie Industry-Academia Partnership and Pathways, Grant number: 286213; Center for Medical Systems Biology, Grant number: 912-10-020; German Research Foundation, Grant number: DFG: GR 1912/5-1; Netherlands Organization for Scientific Research, Grant numbers: 911-09-032, 56-464-14192; Bundesministerium für Bildung und Forschung, Grant numbers: 01ZZ9603, 01ZZ0103, 01ZZ0403, 03ZIK012, 01ZX13; Netherlands Scientific Organization, Grant number: 480-05-003; GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, and the Swiss National Science Foundation, Grant numbers: 3200B0-105993, 3200B0-118308, 33CSCO-122661, 33C; Rutgers University Cell and DNA Repository, Grant number: NIMH U24 MH068457-06; National Institutes of Health, Grant numbers: NIH R01 HD042157-01A1, MH081802, Grand Opportunity The Netherlands Study of Depression and Anxiety (NESDA) and the Netherlands Twin Register (NTR): funding was obtained from the Netherlands Organization for Scientific Research (NWO) and MagW/ZonMW grants Middelgroot-911-09-032, Spinozapremie 56-464-14192, Center for Medical Systems Biology (CSMB, NWO Genomics), Genetic influences on stability and change in psychopathology from childhood to young adulthood (ZonMW 912-10-020), NBIC/BioAssist/RK (2008.024), Biobanking and Biomolecular Resources Research Infrastructure (BBMRI–NL, 184.021.007), VU University's Institute for Health and Care Research (EMGO +) and Neuroscience Campus Amsterdam (NCA); the European Science Council (ERC Advanced, 230374). The infrastructure for the NESDA study (www.nesda.nl) is funded through the Geestkracht program of the Netherlands Organization for Health Research and Development (ZonMw, grant number 10-000-1002) and is supported by participating universities and mental health care organizations (VU University Medical Centre, GGZ inGeest, Arkin, Leiden University Medical Centre, GGZ Rivierduinen, University Medical Centre Groningen, Lentis, GGZ Friesland, GGZ Drenthe, Institute for Quality of Health Care (IQ Healthcare), Netherlands Institute for Health Services Research (NIVEL) and Netherlands Institute of Mental Health and Addiction (Trimbos)). Part of the genotyping of NESDA and NTR was funded by the Genetic Association Information Network (GAIN) of the Foundation for the National Institutes of Health, Rutgers University Cell and DNA Repository (NIMH U24 MH068457-06), the Avera Institute, Sioux Falls, South Dakota (USA) and the National Institutes of Health (NIH R01 HD042157-01A1, MH081802, Grand Opportunity grants 1RC2 MH089951 and 1RC2 MH089995). Computing was supported by BiG Grid, the Dutch e-Science Grid, which is financially supported by NWO.

FundersFunder number
Avera Institute
BBMRI184.021.007
BBMRI-NL
BiG Grid
Biobanking and Biomolecular Resources Research Infrastructure
Biomedical Research Centre for Mental Health
Dutch Brain Foundation
European Science Council
Faculty of Biology and Medicine of Lausanne
Federal State of Mecklen-burg-West Pomerania
Leiden University Medical Centre
Marie Curie Industry-Academia Partnership and Pathways286213, MQ14F40
Ministry of Cultural Affairs
NBIC/BioAssist/RK2008.024
Netherlands Institute of Mental Health and Addiction
Netherlands Organization for Health Research and Development
Netherlands Twin Register
Social Ministry of the Federal State of Mecklenburg-West Pomerania
Spinozapremie
VU University's Institute for Health and Care Research
National Institutes of Health1RC2 MH089951, 1RC2 MH089995, MH081802, R01 HD042157-01A1
National Institute of Mental HealthU01MH109528, U24 MH068457-06
GlaxoSmithKlineG0701420
South London and Maudsley NHS Foundation Trust
Medical Research Council
National Institute for Health Research
King's College London
European Research Council230374
National Health and Medical Research Council1078901, 1087889
Deutsche ForschungsgemeinschaftGR 1912/5-1
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung33CS30-148401, 3200B0-118308, 33CS30-139468, 33CSCO-122661, 3200B0-105993
ZonMw10-000-1002
Vrije Universiteit Amsterdam
Bundesministerium für Bildung und Forschung01ZZ0403, 01ZX13, 01ZX1314E, 03ZIK012, 01ZZ0103, 01ZZ9603
Nederlandse Organisatie voor Wetenschappelijk Onderzoek480-05-003, 911-09-032, Middelgroot-911-09-032, 56-464-14192
Nederlands Instituut voor Onderzoek van de Gezondheidszorg
Seventh Framework Programme
Centre for Medical Systems BiologyZonMW 912-10-020, 912-10-020

    Keywords

    • Journal Article

    Cohort Studies

    • Netherlands Twin Register (NTR)

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