Your browser has javascript turned off or blocked. This will lead to some parts of our website to not work properly or at all. Turn on javascript for best performance.

The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Paul Franks

Paul Franks

Principal investigator

Paul Franks

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

Author

  • 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 Rolandsson
  • Carlotta 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

Summary, in English

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.

Department/s

  • Genetic and Molecular Epidemiology
  • EpiHealth: Epidemiology for Health
  • EXODIAB: Excellence in Diabetes Research in Sweden
  • Genomics, Diabetes and Endocrinology
  • Internal Medicine - Epidemiology

Publishing year

2020

Language

English

Publication/Series

Scientific Data

Volume

7

Issue

1

Document type

Journal article

Publisher

Nature Publishing Group

Topic

  • Endocrinology and Diabetes

Status

Published

Research group

  • Genetic and Molecular Epidemiology
  • Genomics, Diabetes and Endocrinology
  • Internal Medicine - Epidemiology

ISBN/ISSN/Other

  • ISSN: 2052-4463