Publication

Maternal Gestational Diabetes Mellitus and Newborn DNA Methylation: Findings From the Pregnancy and Childhood Epigenetics Consortium

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Last modified
  • 05/15/2025
Type of Material
Authors
    Caitlin G. Howe, University of Southern CaliforniaBianca Cox, Hasselt UniversityRuby Fore, Harvard Medical SchoolJames Jungius, University of BristolTuomas Kvist, University of HelsinkiSamantha Lent, Harvard Medical SchoolHarriet E. Miles, University of BristolLucas A. Salas, Geisel School of Medicine at DartmouthSheryl Rifas-Shiman, University of HelsinkiAnne P. Starling, University of Colorado Anschutz Medical CampusPaul Yousefi, Harvard Medical SchoolChristine Ladd-Acosta, Johns Hopkins UniversityAndrea Baccarelli, Columbia UniversityElisabeth Binder, Emory UniversityVaia Lida Chatzi, University of Southern CaliforniaDarina Czamara, Max Planck Institute of PsychiatryDana Dabelea, University of Colorado Anschutz Medical CampusDawn L. DeMeo, Harvard Medical SchoolAkram Ghantous, International Agency for Research on CancerZdenko Herceg, International Agency for Research on CancerEero Kajantie, National Institute for Health and WelfareJari M. T. Lahti, University of BristolDebbie A. Lawlor, University of BristolAugusto Litonjua, Harvard Medical SchoolTim S. Nawrot, Hasselt UniversityEllen A. Nohr, University of Southern DenmarkEmily Oken, University of HelsinkiCostanza Pizzi, University of TurinMichelle Plusquin, Hasselt UniversityKatri Raeikkoenen, University of BristolCaroline L. Relton, University of BristolGemma C. Sharp, Harvard Medical SchoolThorkild I.A. Sorensen, University of BristolJordi Sunyer, ISGlobalMartine Vrijheid, ISGlobalWeiming Zhang, University of Colorado Anschutz Medical CampusMarie-France Hivert, Harvard Medical SchoolCarrie V. Breton, University of Southern California
Language
  • English
Date
  • 2020-01-01
Publisher
  • AMER DIABETES ASSOC
Publication Version
Copyright Statement
  • © 2019 by the American Diabetes Association.
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 43
Issue
  • 1
Start Page
  • 98
End Page
  • 105
Grant/Funding Information
  • Funding for authors and cohorts can be found in the Supplementary Data.
Supplemental Material (URL)
Abstract
  • OBJECTIVE Maternal gestational diabetes mellitus (GDM) has been associated with adverse outcomes in the offspring. Growing evidence suggests that the epigenome may play a role, but most previous studies have been small and adjusted for few covariates. The current study meta-Analyzed the association between maternal GDM and cord blood DNA methylation in the Pregnancy and Childhood Epigenetics (PACE) consortium. RESEARCH DESIGN AND METHODS Seven pregnancy cohorts (3,677 mother-newborn pairs [317 with GDM]) contributed results from epigenome-wide association studies, usingDNAmethylation data acquired by the Infinium HumanMethylation450 BeadChip array. Associations betweenGDMandDNA methylation were examined using robust linear regression, with adjustment for potential confounders. Fixed-effects meta-Analyses were performed using METAL. Differentially methylated regions (DMRs) were identified by taking the intersection of results obtained using two regional approaches: comb-p and DMRcate. RESULTS Two DMRs were identified by both comb-p and DMRcate. Both regions were hypomethylated in newborns exposed to GDM in utero compared with control subjects. One DMR (chr 1: 248100345-248100614) was located in the OR2L13 promoter, and the other (chr 10: 135341870-135342620) was located in the gene bodyof CYP2E1. IndividualCpGanalyses did not reveal any differentially methylated loci based on a false discovery rate-adjusted P value threshold of 0.05. CONCLUSIONS MaternalGDMwas associated with lower cord blood methylation levels within two regions, including the promoter of OR2L13, a gene associated with autism spectrum disorder, and the gene body of CYP2E1, which is upregulated in type 1 and type 2 diabetes. Future studies are needed to understand whether these associations are causal and possible health consequences.
Author Notes
  • Caitlin Howe
Keywords
Research Categories
  • Health Sciences, Epidemiology
  • Biology, Genetics

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