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

被引:147
作者
Finer, Sarah [1 ,2 ]
Mathews, Chris [1 ]
Lowe, Rob [1 ]
Smart, Melissa [1 ]
Hillman, Sara [3 ]
Foo, Lin [1 ]
Sinha, Ajay [1 ]
Williams, David [3 ]
Rakyan, Vardhman K. [1 ]
Hitman, Graham A. [1 ]
机构
[1] Queen Mary Univ London, Blizard Inst, Barts & London Sch Med & Dent, London E1 2AT, England
[2] Univ Cambridge, Wellcome Trust MRC Inst Metab Sci, Cambridge CB2 0QQ, England
[3] UCL, Inst Womens Hlth, London WC1E 6AU, England
基金
英国生物技术与生命科学研究理事会;
关键词
INTRAUTERINE EXPOSURE; PREGNANT RATS; MELLITUS; PROTEIN; GENES; PROMOTER; GLUCOSE; FAMINE; SITES; ARRAY;
D O I
10.1093/hmg/ddv013
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:3021 / 3029
页数:9
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