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Inherited Predisposition of Lung Cancer: A Hierarchical Modeling Approach to DNA Repair and Cell Cycle Control Pathways

Authors :
Meili Baragatti
Rayjean J. Hung
Dana Mates
Jolanta Lissowska
James McKay
Norman Moullan
Janet E. Hall
Federico Canzian
Vladimir Bencko
Duncan C. Thomas
Neonila Szeszenia-Dabrowska
Paolo Boffetta
Peter Rudnai
Lenka Foretova
Amelie Chabrier
David Zaridze
Vladimir Janout
Paul Brennan
Eleonora Fabianova
Hung, R.J.
Baragatti, M.
Thomas, D.
McKay, J.
Szeszenia-Dabrowska, N.
Zaridze, D.
Lissowska, J.
Rudnai, P.
Fabianova, E.
Mates, D.
Foretova, L.
Janout, V.
Bencko, V.
Chabrier, A.
Moullan, N.
Canzian, F.
Hall, J.
Boffetta, P.
Brennan, P.
Source :
Cancer Epidemiology, Biomarkers & Prevention. 16:2736-2744
Publication Year :
2007
Publisher :
American Association for Cancer Research (AACR), 2007.

Abstract

The DNA repair systems maintain the integrity of the human genome and cell cycle checkpoints are a critical component of the cellular response to DNA damage. We hypothesized that genetic variants in DNA repair and cell cycle control pathways will influence the predisposition to lung cancer, and studied 27 variants in 17 DNA repair enzymes and 10 variants in eight cell cycle control genes in 1,604 lung cancer patients and 2,053 controls. To improve the estimation of risks for specific variants, we applied a Bayesian approach in which we allowed the prior knowledge regarding the evolutionary biology and physicochemical properties of the variant to be incorporated into the hierarchical model. Based on the estimation from the hierarchical modeling, subjects who carried OGG1 326C/326C homozygotes, MGMT 143V or 178R, and CHEK2 157I had an odds ratio of lung cancer equal to 1.45 [95% confidence interval (95% CI), 1.05-2.00], 1.18 (95% CI, 1.01-1.40), and 1.58 (95% CI, 1.14-2.17). The association of CHEK2 157I seems to be overestimated in the conventional analysis. Nevertheless, this association seems to be robust in the hierarchical modeling. None of the pathways seem to have a prominent effect. In general, our study supports the notion that sequence variation may explain at least some of the variation of inherited susceptibility. In particular, further investigation of OGG1, MGMT, and CHEK2 focusing on the genetic regions where the present markers are located or the haplotype blocks tightly linked with these markers might be warranted. (Cancer Epidemiol Biomarkers Prev 2007;16(12):2736–44)

Details

ISSN :
15387755 and 10559965
Volume :
16
Database :
OpenAIRE
Journal :
Cancer Epidemiology, Biomarkers & Prevention
Accession number :
edsair.doi.dedup.....20864cacf5e3552828d910571ae306a2