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Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns

  • Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
  • Institute for Molecular Bioscience
  • University of Queensland
  • Max Planck Institute of Psychiatry
  • Helmholtz Zentrum München - German Research Center for Environmental Health
  • Technical University of Munich
  • University of Oslo
  • Norwegian Institute of Public Health
  • University of Helsinki
  • University of Edinburgh
  • University of Oulu
  • Hospital District of Helsinki and Uusimaa
  • National Institute for Health and Welfare
  • Helsinki University Hospital
  • Tampere University
  • National Institutes of Health
  • Douglas Mental Health University Institute
  • McGill University
  • Agency for Science, Technology and Research, Singapore
  • Berlin Institute of Health at Charité - Universitätsmedizin Berlin
  • University of California at Irvine
  • University of British Columbia
  • University of Cape Town
  • South African Medical Research Council
  • Harvard University
  • Massachusetts General Hospital
  • Charité – Universitätsmedizin Berlin
  • Broad Institute
  • Karolinska Institutet
  • Aarhus University
  • The Lundbeck Foundation Initiative for Integrative Psychiatric Research
  • University of Amsterdam
  • Adelaide University
  • Munich Cluster for Systems Neurology (SyNergy)
  • Virginia Commonwealth University
  • Statens Serum Institut
  • VU University Medical Center
  • Virginia Institute for Psychiatric and Behavior Genetics
  • Wellcome Trust Sanger Institute
  • European Molecular Biology Laboratory
  • University of Lausanne
  • King's College London
  • Queensland Institute of Medical Research
  • Cardiff University
  • Duke University
  • University of Bonn
  • Erasmus University Rotterdam
  • Dokuz Eylul University
  • Massachusetts Institute of Technology
  • University of Basel
  • Heidelberg University 
  • Trinity College Dublin
  • Johns Hopkins University
  • Newcastle University
  • University of Copenhagen
  • Mental Health Services Capital Region of Denmark
  • H. Lundbeck A/S
  • The University of Sydney
  • University of Greifswald
  • F. Hoffmann-La Roche AG
  • Kaiser Permanente
  • University of Southern California
  • Brigham and Women’s Hospital
  • Boston Children's Hospital
  • University of Oxford
  • Swiss Institute of Bioinformatics
  • National Health Service Scotland
  • Columbia University
  • Queensland University of Technology
  • Children’s Health Queensland
  • University of Tartu
  • German Centre for Cardiovascular Research
  • Humus Inc
  • Vrije Universiteit Amsterdam
  • Solid Biosciences
  • Washington University St. Louis
  • University of Granada
  • University of Groningen
  • Ludwig Maximilian University of Munich
  • University of Iceland
  • James Cook University Queensland
  • University of Glasgow
  • deCODE Genetics
  • University of Münster
  • University of California at San Diego
  • University of Cambridge
  • Leiden University
  • Pfizer
  • Jülich Research Centre
  • University of Trento
  • University of Freiburg
  • University of Toronto
  • University College London
  • Johnson & Johnson
  • University of Tartu
  • University of Liverpool
  • University of Iowa
  • University of Göttingen
  • Dalhousie University
  • Stanford University
  • University of North Carolina at Chapel Hill
  • Emory University

Research output: Contribution to journalArticlepeer-review

Abstract

Epigenetic processes, including DNA methylation (DNAm), are among the mechanisms allowing integration of genetic and environmental factors to shape cellular function. While many studies have investigated either environmental or genetic contributions to DNAm, few have assessed their integrated effects. Here we examine the relative contributions of prenatal environmental factors and genotype on DNA methylation in neonatal blood at variably methylated regions (VMRs) in 4 independent cohorts (overall n = 2365). We use Akaike’s information criterion to test which factors best explain variability of methylation in the cohort-specific VMRs: several prenatal environmental factors (E), genotypes in cis (G), or their additive (G + E) or interaction (GxE) effects. Genetic and environmental factors in combination best explain DNAm at the majority of VMRs. The CpGs best explained by either G, G + E or GxE are functionally distinct. The enrichment of genetic variants from GxE models in GWAS for complex disorders supports their importance for disease risk.

Original languageEnglish
Article number2548
JournalNature Communications
Volume10
Issue number1
DOIs
Publication statusPublished - 1 Dec 2019
Externally publishedYes

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