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@ARTICLE{Zheng:165959,
      author       = {J.-S. Zheng and J. Luan and E. Sofianopoulou and F. Imamura
                      and I. D. Stewart and F. R. Day and M. Pietzner and E.
                      Wheeler and L. A. Lotta and T. E. Gundersen and P. Amiano
                      and E. Ardanaz and M.-D. Chirlaque and G. Fagherazzi and P.
                      W. Franks and R. Kaaks$^*$ and N. Laouali and F. R. Mancini
                      and P. M. Nilsson and N. C. Onland-Moret and A. Olsen and K.
                      Overvad and S. Panico and D. Palli and F. Ricceri and O.
                      Rolandsson and A. M. W. Spijkerman and M.-J. Sánchez and M.
                      B. Schulze and N. Sala and S. Sieri and A. Tjønneland and
                      R. Tumino and Y. T. van der Schouw and E. Weiderpass and E.
                      Riboli and J. Danesh and A. S. Butterworth and S. J. Sharp
                      and C. Langenberg and N. G. Forouhi and N. J. Wareham},
      title        = {{P}lasma {V}itamin {C} and {T}ype 2 {D}iabetes:
                      {G}enome-{W}ide {A}ssociation {S}tudy and {M}endelian
                      {R}andomization {A}nalysis in {E}uropean {P}opulations.},
      journal      = {Diabetes care},
      volume       = {44},
      number       = {1},
      issn         = {1935-5548},
      address      = {Alexandria, Va.},
      publisher    = {Assoc.},
      reportid     = {DKFZ-2020-02508},
      pages        = {98-106},
      year         = {2021},
      note         = {2021 Jan;44(1):98-106},
      abstract     = {Higher plasma vitamin C levels are associated with lower
                      type 2 diabetes risk, but whether this association is causal
                      is uncertain. To investigate this, we studied the
                      association of genetically predicted plasma vitamin C with
                      type 2 diabetes.We conducted genome-wide association studies
                      of plasma vitamin C among 52,018 individuals of European
                      ancestry to discover novel genetic variants. We performed
                      Mendelian randomization analyses to estimate the association
                      of genetically predicted differences in plasma vitamin C
                      with type 2 diabetes in up to 80,983 case participants and
                      842,909 noncase participants. We compared this estimate with
                      the observational association between plasma vitamin C and
                      incident type 2 diabetes, including 8,133 case participants
                      and 11,073 noncase participants.We identified 11 genomic
                      regions associated with plasma vitamin C (P < 5 × 10-8),
                      with the strongest signal at SLC23A1, and 10 novel genetic
                      loci including SLC23A3, CHPT1, BCAS3, SNRPF, RER1, MAF,
                      GSTA5, RGS14, AKT1, and FADS1. Plasma vitamin C was
                      inversely associated with type 2 diabetes (hazard ratio per
                      SD 0.88; $95\%$ CI 0.82, 0.94), but there was no association
                      between genetically predicted plasma vitamin C (excluding
                      FADS1 variant due to its apparent pleiotropic effect) and
                      type 2 diabetes (1.03; $95\%$ CI 0.96, 1.10).These findings
                      indicate discordance between biochemically measured and
                      genetically predicted plasma vitamin C levels in the
                      association with type 2 diabetes among European populations.
                      The null Mendelian randomization findings provide no strong
                      evidence to suggest the use of vitamin C supplementation for
                      type 2 diabetes prevention.},
      cin          = {C020},
      ddc          = {610},
      cid          = {I:(DE-He78)C020-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:33203707},
      doi          = {10.2337/dc20-1328},
      url          = {https://inrepo02.dkfz.de/record/165959},
}