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Epigenome-Wide Association Study of Incident Type 2 Diabetes in a British Population: EPIC-Norfolk Study

Authors :
Michael M. Mendelson
Nita G. Forouhi
Nicola D. Kerrison
Marie-France Hivert
Kay-Tee Khaw
Allan Vaag
Jaspal S. Kooner
Alexander Perfilyev
Felix R. Day
James B. Meigs
Jussi Pihlajamäki
John R. B. Perry
Ken K. Ong
Alexia Cardona
Daniel Levy
Isobel D. Stewart
Marie Loh
Nicholas J. Wareham
Chunyu Liu
Charlotte Ling
Luca A. Lotta
Audrey Y. Chu
Claudia Langenberg
R. David Leslie
Josée Dupuis
Stephan Beck
Dirk S. Paul
Robert A. Scott
Benjamin Lehne
John C. Chambers
Cardona, Alexia [0000-0002-7877-5565]
Lotta, Luca A [0000-0002-2619-5956]
Khaw, Kay-Tee [0000-0002-8802-2903]
Forouhi, Nita G [0000-0002-5041-248X]
Leslie, R David [0000-0002-1786-1531]
Ling, Charlotte [0000-0003-0587-7154]
Hivert, Marie-France [0000-0001-7752-2585]
Apollo - University of Cambridge Repository
Source :
Diabetes
Publication Year :
2019
Publisher :
American Diabetes Association, 2019.

Abstract

Epigenetic changes may contribute substantially to risks of diseases of aging. Previous studies reported seven methylation variable positions (MVPs) robustly associated with incident type 2 diabetes mellitus (T2DM). However, their causal roles in T2DM are unclear. In an incident T2DM case-cohort study nested within the population-based European Prospective Investigation into Cancer and Nutrition (EPIC)-Norfolk cohort, we used whole blood DNA collected at baseline, up to 11 years before T2DM onset, to investigate the role of methylation in the etiology of T2DM. We identified 15 novel MVPs with robust associations with incident T2DM and robustly confirmed three MVPs identified previously (near to TXNIP, ABCG1, and SREBF1). All 18 MVPs showed directionally consistent associations with incident and prevalent T2DM in independent studies. Further conditional analyses suggested that the identified epigenetic signals appear related to T2DM via glucose and obesity-related pathways acting before the collection of baseline samples. We integrated genome-wide genetic data to identify methylation-associated quantitative trait loci robustly associated with 16 of the 18 MVPs and found one MVP, cg00574958 at CPT1A, with a possible direct causal role in T2DM. None of the implicated genes were previously highlighted by genetic association studies, suggesting that DNA methylation studies may reveal novel biological mechanisms involved in tissue responses to glycemia.

Details

Database :
OpenAIRE
Journal :
Diabetes
Accession number :
edsair.doi.dedup.....f53754b0dee5aa30d0e6435d3f15e370
Full Text :
https://doi.org/10.17863/cam.44059