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@ARTICLE{Cai:165936,
      author       = {L. Cai and E. Wheeler and N. D. Kerrison and J. Luan and P.
                      Deloukas and P. W. Franks and P. Amiano and E. Ardanaz and
                      C. Bonet and G. Fagherazzi and L. C. Groop and R. Kaaks$^*$
                      and J. M. Huerta and G. Masala and P. M. Nilsson and K.
                      Overvad and V. Pala and S. Panico and M. Rodriguez-Barranco
                      and O. Rolandsson and C. Sacerdote and M. B. Schulze and A.
                      M. W. Spijkerman and A. Tjonneland and R. Tumino and Y. T.
                      van der Schouw and S. J. Sharp and N. G. Forouhi and E.
                      Riboli and M. I. McCarthy and I. Barroso and C. Langenberg
                      and N. J. Wareham},
      title        = {{G}enome-wide association analysis of type 2 diabetes in
                      the {EPIC}-{I}nter{A}ct study.},
      journal      = {Scientific data},
      volume       = {7},
      number       = {1},
      issn         = {2052-4463},
      address      = {London},
      publisher    = {Nature Publ. Group},
      reportid     = {DKFZ-2020-02487},
      pages        = {393},
      year         = {2020},
      note         = {2020 Nov 13;7(1):393},
      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.},
      cin          = {C020},
      ddc          = {500},
      cid          = {I:(DE-He78)C020-20160331},
      pnm          = {323 - Metabolic Dysfunction as Risk Factor (POF3-323)},
      pid          = {G:(DE-HGF)POF3-323},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:33188205},
      doi          = {10.1038/s41597-020-00716-7},
      url          = {https://inrepo02.dkfz.de/record/165936},
}