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      Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer

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          Abstract

          Background

          While high-risk mutations in identified major susceptibility genes (DNA mismatch repair genes and MUTYH) account for some familial aggregation of colorectal cancer, their population prevalence and the causes of the remaining familial aggregation are not known.

          Methods

          We studied the families of 5,744 colorectal cancer cases (probands) recruited from population cancer registries in the USA, Canada and Australia and screened probands for mutations in mismatch repair genes and MUTYH. We conducted modified segregation analyses using the cancer history of first-degree relatives, conditional on the proband’s age at diagnosis. We estimated the prevalence of mutations in the identified genes, the prevalence of and hazard ratio for unidentified major gene mutations, and the variance of the residual polygenic component.

          Results

          We estimated that 1 in 279 of the population carry mutations in mismatch repair genes ( MLH1= 1 in 1946, MSH2= 1 in 2841, MSH6= 1 in 758, PMS2= 1 in 714), 1 in 45 carry mutations in MUTYH, and 1 in 504 carry mutations associated with an average 31-fold increased risk of colorectal cancer in unidentified major genes. The estimated polygenic variance was reduced by 30–50% after allowing for unidentified major genes and decreased from 3.3 for age <40 years to 0.5 for age ≥70 years (equivalent to sibling relative risks of 5.1 to 1.3, respectively).

          Conclusion

          Unidentified major genes might explain one-third to one-half of the missing heritability of colorectal cancer.

          Impact

          Our findings could aid gene discovery and development of better colorectal cancer risk prediction models.

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          Author and article information

          Journal
          9200608
          2299
          Cancer Epidemiol Biomarkers Prev
          Cancer Epidemiol. Biomarkers Prev.
          Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
          1055-9965
          1538-7755
          12 November 2016
          31 October 2016
          March 2017
          01 September 2017
          : 26
          : 3
          : 404-412
          Affiliations
          [1 ]Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
          [2 ]Centre for Cancer Genetic Epidemiology, Department of Public and Primary Care, University of Cambridge
          [3 ]Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
          [4 ]Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, Victoria, Australia
          [5 ]Queensland Institute of Medical Research, Brisbane, Queensland, Australia
          [6 ]University of Colorado School of Medicine, Denver, Colorado, USA
          [7 ]Molecular Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
          [8 ]Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, USA
          [9 ]Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
          [10 ]University of Hawaii Cancer Center, Honolulu, Hawaii, USA
          [11 ]Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University, California, USA
          [12 ]School of Public Health, University of Washington, Seattle, Washington, USA
          [13 ]Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
          [14 ]Centre for Public Health Research, Massey University, Wellington, New Zealand
          [15 ]Department of Health Science Research, Mayo Clinic Arizona, Scottsdale, Arizona, USA
          Author notes
          [* ] Corresponding author: Robert J. MacInnis, PhD, Cancer Epidemiology Centre, Cancer Council Victoria, 615 St Kilda Road, Melbourne VIC 3004 Australia, Phone: +61 3 9514 6248, robert.macinnis@ 123456cancervic.org.au
          Article
          PMC5336409 PMC5336409 5336409 nihpa827219
          10.1158/1055-9965.EPI-16-0693
          5336409
          27799157
          233f59bd-7e3d-4897-a952-9d1e8ccdaeb4
          History
          Categories
          Article

          familial aggregation,colorectal cancer,risk prediction,polygenes,family history

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