학술논문
Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study
Document Type
Author
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.
Source
Scientific Data EpiHealth: Epidemiology for Health EXODIAB: Excellence of Diabetes Research in Sweden. 7(1)
Subject
Language
English
ISSN
2052-4463
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.