Inherited predisposition of lung cancer: A hierarchical modeling approach to DNA repair and cell cycle control pathways

Rayjean J. Hung, Meili Baragatti, Duncan Thomas, James McKay, Neonila Szeszenia-Dabrowska, David Zaridze, Jolanta Lissowska, P. Rudnai, Eleonora Fabianova, Dana Mates, Lenka Foretova, Vladimir Janout, Vladimir Bencko, Amelie Chabrier, Norman Moullan, Federico Canzian, Janet Hall, Paolo Boffetta, Paul Brennan

Research output: Contribution to journalArticle

35 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)2736-2744
Number of pages9
JournalCancer Epidemiology Biomarkers and Prevention
Volume16
Issue number12
DOIs
Publication statusPublished - Dec 1 2007

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Cell Cycle Checkpoints
DNA Repair
Lung Neoplasms
Confidence Intervals
DNA Repair Enzymes
cdc Genes
Bayes Theorem
Homozygote
Human Genome
Haplotypes
DNA Damage
Odds Ratio

ASJC Scopus subject areas

  • Epidemiology
  • Oncology

Cite this

Inherited predisposition of lung cancer : A hierarchical modeling approach to DNA repair and cell cycle control pathways. / Hung, Rayjean J.; Baragatti, Meili; Thomas, Duncan; McKay, James; Szeszenia-Dabrowska, Neonila; Zaridze, David; Lissowska, Jolanta; Rudnai, P.; Fabianova, Eleonora; Mates, Dana; Foretova, Lenka; Janout, Vladimir; Bencko, Vladimir; Chabrier, Amelie; Moullan, Norman; Canzian, Federico; Hall, Janet; Boffetta, Paolo; Brennan, Paul.

In: Cancer Epidemiology Biomarkers and Prevention, Vol. 16, No. 12, 01.12.2007, p. 2736-2744.

Research output: Contribution to journalArticle

Hung, RJ, 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 2007, 'Inherited predisposition of lung cancer: A hierarchical modeling approach to DNA repair and cell cycle control pathways', Cancer Epidemiology Biomarkers and Prevention, vol. 16, no. 12, pp. 2736-2744. https://doi.org/10.1158/1055-9965.EPI-07-0494
Hung, Rayjean J. ; Baragatti, Meili ; Thomas, Duncan ; McKay, James ; Szeszenia-Dabrowska, Neonila ; Zaridze, David ; Lissowska, Jolanta ; Rudnai, P. ; Fabianova, Eleonora ; Mates, Dana ; Foretova, Lenka ; Janout, Vladimir ; Bencko, Vladimir ; Chabrier, Amelie ; Moullan, Norman ; Canzian, Federico ; Hall, Janet ; Boffetta, Paolo ; Brennan, Paul. / Inherited predisposition of lung cancer : A hierarchical modeling approach to DNA repair and cell cycle control pathways. In: Cancer Epidemiology Biomarkers and Prevention. 2007 ; Vol. 16, No. 12. pp. 2736-2744.
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AU - Zaridze, David

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AU - Mates, Dana

AU - Foretova, Lenka

AU - Janout, Vladimir

AU - Bencko, Vladimir

AU - Chabrier, Amelie

AU - Moullan, Norman

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