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Data from: Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study

Cai, Lina1; Wheeler, Eleanor1; Kerrison, Nicola D.1; Luan, Jian'an1; Deloukas, Panos2; Franks, Paul W.3; Amiano, Pilar4; Ardanaz, Eva5; Bonet, Catalina6; Fagherazzi, Guy7; Groop, Leif C.3; Kaaks, Rudolf8; Huerta, José María9; Masala, Giovanna10; Nilsson, Peter M.3; Overvad, Kim11; Pala, Valeria12; Panico, Salvatore13; Rodriguez-Barranco, Miguel14; Rolandsson, Olov15; Sacerdote, Carlotta16; Schulze, Matthias B.17; Spijkeman, Annemieke M.W.18; Tjonneland, Anne19; Tumino, Rosario20; van de Schouw, Yvonne T.21; Sharp, Stephen J.1; Forouhi, Nita G.1; Riboli, Elio22; McCarthy, Mark I.23; Barroso, Inês24; Langenberg, Claudia1; Wareham, Nicholas J.1

Published Jan 26, 2021 on Dryad. https://doi.org/10.5061/dryad.qnk98sfcg

Data files

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.