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@ARTICLE{Archambault:178510,
      author       = {A. N. Archambault and J. Jeon and Y. Lin and M. Thomas and
                      T. A. Harrison and D. T. Bishop and H. Brenner$^*$ and G.
                      Casey and A. T. Chan and J. Chang-Claude$^*$ and J. C.
                      Figueiredo and S. Gallinger and S. B. Gruber and M. J.
                      Gunter and F. Guo$^*$ and M. Hoffmeister$^*$ and M. A.
                      Jenkins and T. O. Keku and L. Le Marchand and L. Li and V.
                      Moreno and P. A. Newcomb and R. Pai and P. S. Parfrey and G.
                      Rennert and L. C. Sakoda and J. K. Lee and M. L. Slattery
                      and M. Song and A. Ko Win and M. O. Woods and N. Murphy and
                      P. T. Campbell and Y.-R. Su and I. Lansdorp-Vogelaar and E.
                      F. Peterse and Y. Cao and A. Zeleniuch-Jacquotte and P. S.
                      Liang and M. Du and D. A. Corley and L. Hsu and U. Peters
                      and R. B. Hayes},
      title        = {{R}isk {S}tratification for {E}arly-{O}nset {C}olorectal
                      {C}ancer {U}sing a {C}ombination of {G}enetic and
                      {E}nvironmental {R}isk {S}cores: {A}n {I}nternational
                      {M}ulti-{C}enter {S}tudy.},
      journal      = {Journal of the National Cancer Institute},
      volume       = {114},
      number       = {4},
      issn         = {0027-8874},
      address      = {Oxford},
      publisher    = {Oxford Univ. Press},
      reportid     = {DKFZ-2022-00107},
      pages        = {528-539},
      year         = {2022},
      note         = {2022 Apr 11;114(4):528-539},
      abstract     = {Incidence of colorectal cancer (CRC) among individuals aged
                      less than 50 years has been increasing. As screening
                      guidelines lower the recommended age of screening
                      initiation, concerns including the burden on screening
                      capacity and costs have been recognized, suggesting that an
                      individualized approach may be warranted. We developed risk
                      prediction models for early-onset CRC that incorporate an
                      environmental risk score (ERS), including 16 lifestyle and
                      environmental factors, and a polygenic risk score (PRS), of
                      141 variants.Relying on risk score weights for ERS and PRS
                      derived from studies of CRC at all ages, we evaluated risks
                      for early-onset CRC in 3,486 cases and 3,890 controls aged
                      less than 50 years. Relative and absolute risks for
                      early-onset CRC were assessed according to values of the ERS
                      and PRS. The discriminatory performance of these scores was
                      estimated using the covariate-adjusted area under the
                      receiver operating characteristic curve.Increasing values of
                      ERS and PRS were associated with increasing relative risks
                      for early-onset CRC (odds ratio per standard deviation of
                      ERS = 1.14, $95\%$ confidence interval [CI] = 1.08, 1.20;
                      odds ratio per standard deviation of PRS = 1.59, $95\%$ CI =
                      1.51, 1.68), both contributing to case-control
                      discrimination (area under the curve = 0.631, $95\%$ CI =
                      0.615, 0.647). Based on absolute risks, we can expect 26
                      excess cases per 10,000 men and 21 per 10,000 women, among
                      those scoring at the 90th percentile for both risk
                      scores.Personal risk scores have the potential to identify
                      individuals at differential relative and absolute risk for
                      early-onset CRC. Improved discrimination may aid in targeted
                      CRC screening of younger, high-risk individuals, potentially
                      improving outcomes.},
      cin          = {C070 / C120 / HD01 / C020},
      ddc          = {610},
      cid          = {I:(DE-He78)C070-20160331 / I:(DE-He78)C120-20160331 /
                      I:(DE-He78)HD01-20160331 / 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:35026030},
      doi          = {10.1093/jnci/djac003},
      url          = {https://inrepo02.dkfz.de/record/178510},
}