Dataset for: An epigenome-wide association meta-analysis of prenatal maternal stress in neonates: A model approach for replication

  • Jolien Rijlaarsdam (Leiden University) (Creator)
  • Irene Pappa (Creator)
  • Esther Walton (Creator)
  • Marian J. Bakermans-Kranenburg (Creator)
  • VR (Viara) Mileva - Seitz (Contributor)
  • Ralph C.A. Rippe (Creator)
  • Sabine Roza (Creator)
  • Vincent Jaddoe (Creator)
  • Frank Verhulst (Creator)
  • Janine Felix (Creator)
  • Charlotte Cecil (Creator)
  • Caroline Relton (Creator)
  • T. R. Gaunt (Creator)
  • Wendy L. McArdle (Creator)
  • Jonathan Mill (Creator)
  • Edward D. Barker (Creator)
  • Henning Tiemeier (Erasmus University Rotterdam) (Creator)
  • Marinus van IJzendoorn (Contributor)

Dataset

Description

Prenatal maternal stress exposure has been associated with neonatal differential DNA methylation. However, the available evidence in humans is largely based on candidate gene methylation studies, where only a few CpG sites were evaluated. The aim of this study was to examine the association between prenatal exposure to maternal stress and offspring genome-wide cord blood methylation using different methods. First, we conducted a meta-analysis and follow-up pathway analyses. Second, we used novel region discovery methods [i.e., differentially methylated regions (DMRs) analyses]. To this end, we used data from two independent population-based studies, the Generation R Study (n = 912) and the Avon Longitudinal Study of Parents and Children (ALSPAC, n = 828), to (i) measure genome-wide DNA methylation in cord blood and (ii) extract a prenatal maternal stress composite. The meta-analysis (ntotal = 1,740) revealed no epigenome-wide (meta P
Date made available2016

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