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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. LU ; Amiano, Pilar ; Ardanaz, Eva LU ; Bonet, Catalina and Fagherazzi, Guy , et al. (2020) In Scientific Data 7(1).
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... (More)

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.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Scientific Data
volume
7
issue
1
article number
393
publisher
Nature Publishing Group
external identifiers
  • scopus:85095940655
  • pmid:33188205
ISSN
2052-4463
DOI
10.1038/s41597-020-00716-7
language
English
LU publication?
yes
id
fef5ff0c-bfc5-43f0-974f-6ec15c6340f2
date added to LUP
2020-11-24 12:45:30
date last changed
2024-06-14 03:42:02
@article{fef5ff0c-bfc5-43f0-974f-6ec15c6340f2,
  abstract     = {{<p>Type 2 diabetes (T2D) is a global public health challenge. Whilst the advent of genome-wide association studies has identified &gt;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.</p>}},
  author       = {{Cai, Lina and Wheeler, Eleanor and Kerrison, Nicola D. and Luan, Jian’an and Deloukas, Panos and Franks, Paul W. and Amiano, Pilar and Ardanaz, Eva and Bonet, Catalina and Fagherazzi, Guy and Groop, Leif C. and Kaaks, Rudolf and Huerta, José María and Masala, Giovanna and Nilsson, Peter M. and Overvad, Kim and Pala, Valeria and Panico, Salvatore and Rodriguez-Barranco, Miguel and Rolandsson, Olov and Sacerdote, Carlotta and Schulze, Matthias B. and Spijkerman, Annemieke M.W. and Tjonneland, Anne and Tumino, Rosario and van der Schouw, Yvonne T. and Sharp, Stephen J. and Forouhi, Nita G. and Riboli, Elio and McCarthy, Mark I. and Barroso, Inês and Langenberg, Claudia and Wareham, Nicholas J.}},
  issn         = {{2052-4463}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Scientific Data}},
  title        = {{Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study}},
  url          = {{http://dx.doi.org/10.1038/s41597-020-00716-7}},
  doi          = {{10.1038/s41597-020-00716-7}},
  volume       = {{7}},
  year         = {{2020}},
}