Skip to main content
Dryad logo

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

Citation

Cai, Lina et al. (2021), Data from: Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study , Dryad, Dataset, https://doi.org/10.5061/dryad.qnk98sfcg

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.

Usage Notes

The steps for generating these datasets have been described in the corresponding journal article (in Scientific Data).

EPIC-InterAct T2D GWAS summary statistics (logistic regression) : meta_result_EPICInterAct_T2D_GWAS_summary_stats_logit_n22326_08Jul2020_LCAI.txt.gz;

Cox Regression results for 370 Top T2D SNPs  (from Mahajan et al, 2018) in EPIC-InterAct: CoxReg_on_T2D_Mahajan370SNPs_available_in_InterAct_Jul2020_LCAI.txt

A README file is available accompanying the result files.

By downloading this data, you agree to not attempt to identify individuals in the study.

Funding

Sixth Framework Programme, Award: Integrated Project LSHM_CT_2006_037197

Medical Research Council, United Kingdom, Award: MC_UU_12015/1

Medical Research Council, United Kingdom, Award: MC_UU_12015/5

Medical Research Council, United Kingdom, Award: MC_UU_12015/1