Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study
Cai, Lina; Wheeler, Eleanor; Kerrison, Nicola-D; Luan, Jian'an; Deloukas, Panos; Franks, Paul-W; Amiano, Pilar; Ardanaz, Eva; Bonet, Catalina; Fagherazzi, Guy; Groop, Leif-C; Kaaks, Rudolf; Huerta-Castaño, José-María; Masala, Giovanna; Nilsson, Peter-M; Overvad, Kim; Pala, Valeria; Panico, Salvatore; Rodríguez-Barranco, Miguel; Rolandsson, Olov; Sacerdote, Carlotta; Schulze, Matthias-B; Spijkerman, Annemieke-MW; Tjonneland, Anne; Tumino, Rosario; van-der-Schouw, Yvonne-T; Sharp, Stephen-J; Forouhi, Nita-G; Riboli, Elio; McCarthy, Mark-I; Barroso, Inés; Langenberg, Claudia; Wareham, Nicholas-J
Fecha:
2020-11
Resumen:
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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