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

Lina CaiEleanor WheelerNicola D KerrisonJian'an LuanPanagiotis DeloukasPaul W FranksPilar AmianoEva ArdanazCatalina BonetGuy FagherazziLeif C GroopRudolf KaaksJosé María Huerta CastañoGiovanna MasalaPeter M NilsssonKim OvervadValeria PalaSalvatore PanicoMiguel Rodriguez-BarrancoOlov RolandssonCarlotta SacerdoteMatthias Bernd SchulzeAnnemieke M W SpijkermanAnne TjonnelandRosario TuminoYvonne T van der SchouwStephen J SharpNita G ForouhiElio RiboliMark I McCarthyInês A BarrosoClaudia LangenbergNicholas J Wareham
Published in: Scientific data (2020)
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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