Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies

Wu, Pensee, Farrell, William E., Haworth, Kim E., Emes, Richard D., Kitchen, Mark O., Glossop, John R., Hanna, Fahmy W and Fryer, Anthony A. (2016) Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies. Epigenomics . ISSN 1750-192X

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Abstract

Several recent reports have described associations between gestational diabetes (GDM) and changes to the epigenomic landscape where the DNA samples were derived from either cord or placental sources. We employed genome-wide 450Karray analysis to determine changes to the epigenome in a unique cohort of maternal blood DNA from 11 pregnant women prior to GDM development relative to matched controls. Hierarchical clustering segregated the samples into two distinct clusters comprising GDM and healthy pregnancies. Screening identified 100 CpGs with a mean β-value difference of ≥0.2 between cases and controls. Using stringent criteria, 5 CpGs (within COPS8, PIK3R5, HAAO, CCDC124, and C5orf34 genes) demonstrated potentials to be clinical biomarkers as revealed by differential methylation in 8 of 11 women who developed GDM relative to matched controls. We identified, for the first time, maternal methylation changes prior to the onset of GDM that may prove useful as biomarkers for early therapeutic intervention.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/778999
Keywords: Gestational diabetes, epigenetics, fetal programming, biomarker, 450 K array
Schools/Departments: University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Veterinary Medicine and Science
Identification Number: 10.1080/15592294.2016.1166321
Depositing User: Emes, Richard
Date Deposited: 26 Oct 2016 10:36
Last Modified: 04 May 2020 17:40
URI: https://eprints.nottingham.ac.uk/id/eprint/37929

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