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. 2020 Nov 13;7(1):393.
doi: 10.1038/s41597-020-00716-7.

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

Lina Cai  1 , Eleanor Wheeler  1 , Nicola D Kerrison  1 , Jian'an Luan  1 , Panos Deloukas  2 , Paul W Franks  3   4 , Pilar Amiano  5 , Eva Ardanaz  6   7   8 , Catalina Bonet  9 , Guy Fagherazzi  10   11 , Leif C Groop  3 , Rudolf Kaaks  12 , José María Huerta  8   13 , Giovanna Masala  14 , Peter M Nilsson  3 , Kim Overvad  15   16 , Valeria Pala  17 , Salvatore Panico  18 , Miguel Rodriguez-Barranco  8   19   20 , Olov Rolandsson  4 , Carlotta Sacerdote  21 , Matthias B Schulze  22   23   24 , Annemieke M W Spijkerman  25 , Anne Tjonneland  26 , Rosario Tumino  27   28 , Yvonne T van der Schouw  29 , Stephen J Sharp  1 , Nita G Forouhi  1 , Elio Riboli  30 , Mark I McCarthy  31   32   33   34 , Inês Barroso  35 , Claudia Langenberg  1 , Nicholas J Wareham  36
Affiliations

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

Lina Cai et al. Sci Data. .

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.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Overview of the EPIC-InterAct study, genotyping and genome-wide association meta-analysis for T2D in 22,326 participants.
Fig. 2
Fig. 2
Manhattan plot of genome-wide association meta-analysis for T2D in 22,326 participants from the EPIC-InterAct study. The x-axis is chromosome position (Build 37), and the y-axis is the negative log10 p-value (−log10(p)) of the association between each genetic variant and T2D. Points represent a genetic variant included in the study (only SNPs with a p-value < 0.1 are illustrated in the plot). The red horizontal line represents the genome-wide significance threshold p-value of 5 × 10−8.
Fig. 3
Fig. 3
Quantile-Quantile plot of the T2D genome-wide association meta-analysis results in the EPIC-InterAct study.
Fig. 4
Fig. 4
Log(hazard ratios) from the Prentice-weighted Cox regression model and log(odds ratios) from the logistic model for established genetic variants from a previous meta-analysis with p < 0.05 in the EPIC-InterAct T2D GWAS summary statistics (n = 175).
See this image and copyright information in PMC

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