MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Clinical Pharmacology Centre, Queen Mary University of London, London, United Kingdom.
Sci Data. 2020 Nov 13;7(1):393. doi: 10.1038/s41597-020-00716-7.
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.
2 型糖尿病（T2D）是全球公共卫生挑战。虽然全基因组关联研究已经确定了 >400 种与 T2D 相关的遗传变异，但我们对其生物学机制和转化的理解仍然有限。以欧洲癌症前瞻性调查和营养研究为中心的 EPIC-InterAct 项目是 T2D 最大的前瞻性研究之一。该研究作为一项嵌套病例对照研究，旨在研究遗传和生活方式行为因素对 T2D 风险的相互作用，共确定了 12403 名 T2D 新发病例，并从 340234 名参与者的更大队列中选择了一个具有 3.99 百万人年随访时间的代表性亚队列 16154 人。我们描述了来自 EPIC-InterAct 研究的 22326 名个体（9978 例病例和 12348 例非病例）中超过 890 万个 SNP 与 T2D 风险之间的全基因组关联分析结果。要共享的汇总统计数据为进一步研究 T2D 的遗传学提供了宝贵的资源。
