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Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study.

Accepted version
Peer-reviewed

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Article

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Abstract

Type 2 diabetes (T2D) is a global public health challenge. Whilst the advent of genome-wide association studies has identified >400 genetic variants associated with T2D, our understanding of its biological mechanisms and translational insights is still limited. The EPIC-InterAct project, centred in 8 countries in the European Prospective Investigations into Cancer and Nutrition study, is one of the largest prospective studies of T2D. Established as a nested case-cohort study to investigate the interplay between genetic and lifestyle behavioural factors on the risk of T2D, a total of 12,403 individuals were identified as incident T2D cases, and a representative sub-cohort of 16,154 individuals was selected from a larger cohort of 340,234 participants with a follow-up time of 3.99 million person-years. We describe the results from a genome-wide association analysis between more than 8.9 million SNPs and T2D risk among 22,326 individuals (9,978 cases and 12,348 non-cases) from the EPIC-InterAct study. The summary statistics to be shared provide a valuable resource to facilitate further investigations into the genetics of T2D.

Description

Keywords

Diabetes Mellitus, Type 2, Europe, Genome-Wide Association Study, Humans, Life Style, Prospective Studies, Risk Factors

Journal Title

Sci Data

Conference Name

Journal ISSN

2052-4463
2052-4463

Volume Title

7

Publisher

Springer Science and Business Media LLC

Rights

All rights reserved
Sponsorship
Medical Research Council (MC_UU_12015/1)
Medical Research Council (MC_UU_12015/5)
MRC (MC_UU_00006/1)
Department of Health (via National Institute for Health Research (NIHR)) (NF-SI-0617-10149)
MRC (MC_UU_00006/3)
The authors acknowledge support from the Medical Research Council Epidemiology Unit (grants MC_UU_12015/1 and MC_UU_12015/5) and Wellcome WT206194.