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.

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.