Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study
Cai, Lina; Wheeler, Eleanor; Kerrison, Nicola D.; Luan, Jian’an; Deloukas, Panos; Franks, Paul W.; Amiano, Pilar; Ardanaz, Eva; Bonet, Catalina; Fagherazzi, Guy; Groop, Leif C.; Kaaks, Rudolf; Huerta, José María; Masala, Giovanna; Nilsson, Peter M.; Overvad, Kim; Pala, Valeria; Panico, Salvatore; Rodriguez-Barranco, Miguel; Rolandsson, Olov; Sacerdote, Carlotta; Schulze, Matthias B.; Spijkerman, Annemieke M.W.; Tjonneland, Anne; Tumino, Rosario; van der Schouw, Yvonne T.; Sharp, Stephen J.; Forouhi, Nita G.; Riboli, Elio; McCarthy, Mark I.; Barroso, Inês; Langenberg, Claudia; Wareham, Nicholas J.
(2020) Scientific data, volume 7, issue 1
(Article)
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
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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.
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Keywords: Journal Article, Research Support, Non-U.S. Gov't
ISSN: 2052-4463
Publisher: Nature Research
Note: Funding Information: We thank all EPIC participants and staff for their contribution to the study. We thank Nicola Kerrison (MRC Epidemiology Unit, Cambridge) for managing the data for the InterAct Project and staff from the Laboratory Team, Field Epidemiology Team, and Data Functional Group of the MRC Epidemiology Unit in Cambridge, UK, for carrying out sample preparation, DNA provision and quality control, genotyping, and data-handling work. The funding of the EPIC-InterAct study was provided by the EU FP6 Programme [grant number Integrated Project LSHM_CT_2006_037197]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors acknowledge support from the Medical Research Council Epidemiology Unit (grants MC_UU_12015/1 and MC_UU_12015/5) and Wellcome WT206194. Publisher Copyright: © 2020, The Author(s). Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
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