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

Lina Cai, Eleanor Wheeler, Nicola D Kerrison, Jian'an Luan, Panos Deloukas, Paul W Franks, Pilar Amiano, Eva Ardanaz, Catalina Bonet, Guy Fagherazzi, Leif C Groop, Rudolf Kaaks, José María Huerta, Giovanna Masala, Peter M Nilsson, Kim Overvad, Valeria Pala, Salvatore Panico, Miguel Rodriguez-Barranco, Olov RolandssonCarlotta Sacerdote, Matthias B Schulze, Annemieke M W Spijkerman, Anne Tjonneland, Rosario Tumino, Yvonne T van der Schouw, Stephen J Sharp, Nita G Forouhi, Elio Riboli, Mark I McCarthy, Inês Barroso, Claudia Langenberg, Nicholas J Wareham

Research output: Contribution to journalJournal articleResearchpeer-review

14 Citations (Scopus)
20 Downloads (Pure)

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.

Original languageEnglish
Article number393
JournalScientific Data
Volume7
Issue number1
Number of pages6
ISSN2052-4463
DOIs
Publication statusPublished - 13 Nov 2020

Fingerprint

Dive into the research topics of 'Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study'. Together they form a unique fingerprint.

Cite this