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Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer

Authors :
Mark A. Jenkins
Steven Gallinger
John D. Potter
Noralane M. Lindor
Antonis C. Antoniou
Christophe Rosty
Robert J. MacInnis
Daniel D. Buchanan
Andy C. H. Lee
Loc Le Marchand
Graham Casey
Yingye Zheng
Aung Ko Win
Graham G. Giles
James G. Dowty
Polly A. Newcomb
John L. Hopper
Dennis J. Ahnen
Mark Clendenning
Robert W. Haile
Stephen N. Thibodeau
Antoniou, Antonis [0000-0001-9223-3116]
Lee, Andrew [0000-0003-0677-0252]
Apollo - University of Cambridge Repository
Publication Year :
2017
Publisher :
American Association for Cancer Research (AACR), 2017.

Abstract

Background: Although 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 United States, 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 HR 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 1,946, MSH2 = 1 in 2,841, 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% to 50% after allowing for unidentified major genes and decreased from 3.3 for age Conclusions: 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. Cancer Epidemiol Biomarkers Prev; 26(3); 404–12. ©2016 AACR.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....ba4a8ead581e6611e395b6105e4c07d9
Full Text :
https://doi.org/10.17863/cam.7260