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

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.