Journal Article DKFZ-2020-02487

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

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2020
Nature Publ. Group London

Scientific data 7(1), 393 () [10.1038/s41597-020-00716-7]
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Abstract: 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.

Classification:

Note: 2020 Nov 13;7(1):393

Contributing Institute(s):
  1. C020 Epidemiologie von Krebs (C020)
Research Program(s):
  1. 323 - Metabolic Dysfunction as Risk Factor (POF3-323) (POF3-323)

Appears in the scientific report 2020
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Medline ; Creative Commons Attribution CC BY (No Version) ; DOAJ ; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF >= 5 ; JCR ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2020-11-18, last modified 2024-02-29



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