4.5 Article

Maternal gestational diabetes is associated with genome-wide DNA methylation variation in placenta and cord blood of exposed offspring

Journal

HUMAN MOLECULAR GENETICS
Volume 24, Issue 11, Pages 3021-3029

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/hmg/ddv013

Keywords

-

Funding

  1. MRC [G0800441]
  2. North-East London Diabetes Research Network
  3. BBSRC [BB/H012494/1] Funding Source: UKRI
  4. MRC [G0800441] Funding Source: UKRI
  5. Biotechnology and Biological Sciences Research Council [BB/H012494/1] Funding Source: researchfish
  6. Medical Research Council [G0800441] Funding Source: researchfish
  7. National Institute for Health Research [ACF-2006-18-009, CL-2015-18-006] Funding Source: researchfish

Ask authors/readers for more resources

Exposure of a developing foetus to maternal gestational diabetes (GDM) has been shown to programme future risk of diabetes and obesity. Epigenetic variation in foetal tissue may have a mechanistic role in metabolic disease programming through interaction of the pregnancy environment with gene function. We aimed to identify genome-wide DNA methylation variation in cord blood and placenta from offspring born to mothers with and without GDM. Pregnant women of South Asian origin were studied and foetal tissues sampled at term delivery. The Illumina HumanMethylation450 BeadChip was used to assay genome-wide DNA methylation in placenta and cord blood from 27 GDM exposed and 21 unexposed offspring. We identified 1485 cord blood and 1708 placenta methylation variable positions (MVPs) achieving genome-wide significance (adjusted P-value < 0.05) with methylation differences of > 5%. MVPs were disproportionately located within first exons. A bioinformatic co-methylation algorithm was used to detect consistent directionality of methylation in 1000 bp window around each MVP was observed at 74% of placenta and 59% of cord blood MVPs. KEGG pathway analysis showed enrichment of pathways involved in endocytosis, MAPK signalling and extracellular triggers to intracellular metabolic processes. Replication studies should integrate genomics and transcriptomics with longitudinal sampling to elucidate stability, determine causality for translation into biomarker and prevention studies.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available