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Li, Y.* ; Xiao, X.* ; Han, Y.* ; Gorlova, O.* ; Qian, D.C.* ; Leighl, N.* ; Johansen, J.S.* ; Barnett, M.* ; Chen, C.* ; Goodman, G.* ; Cox, A.* ; Taylor, F.* ; Woll, P.* ; Wichmann, H.-E. ; Manz, J. ; Muley, T.* ; Risch, A.* ; Rosenberger, A.* ; Arnold, S.M.* ; Haura, E.B.* ; Bolca, C.* ; Holcatova, I.* ; Janout, V.* ; Kontic, M.* ; Lissowska, J.* ; Mukeria, A.* ; Ognjanovic, S.* ; Orlowski, T.M.* ; Scelo, G.* ; Swiatkowska, B.* ; Zaridze, D.* ; Bakke, P.* ; Skaug, V.* ; Zienolddiny, S.* ; Duell, E.J.* ; Butler, L.M.* ; Houlston, R.* ; Artigas, M.S.* ; Grankvist, K.* ; Johansson, M.* ; Shepherd, F.A.* ; Marcus, M.W.* ; Brunnström, H.* ; Manjer, J.* ; Melander, O.* ; Müller, D.C.* ; Overvad, K.* ; Trichopoulou, A.* ; Tumino, R.* ; Liu, G.* ; Bojesen, S.E.* ; Wu, X.* ; Le Marchand, L.* ; Albanes, D.* ; Bickeböller, H.* ; Aldrich, M.C.* ; Bush, W.S.* ; Tardón, A.* ; Rennert, G.* ; Teare, M.D.* ; Field, J.K.* ; Kiemeney, L.A.* ; Lazarus, P.* ; Haugen, A.* ; Lam, S.* ; Schabath, M.B.* ; Andrew, A.S.* ; Bertazzi, P.A.* ; Pesatori, A.C.* ; Christiani, D.C.* ; Caporaso, N.* ; McKay, J.D.* ; Brennan, P.* ; Hung, R.J.* ; Amos, C.I.*

Genome-wide interaction study of smoking behavior and non-small cell lung cancer risk in Caucasian population.

Carcinogenesis 39, 336-346 (2018)
Verlagsversion Postprint Forschungsdaten DOI PMC
Open Access Green
Non-small cell lung cancer is the most common type of lung cancer. Both environmental and genetic risk factors contribute to lung carcinogenesis. We conducted a genome-wide interaction analysis between single nucleotide polymorphisms (SNPs) and smoking status (never-versus ever-smokers) in a European-descent population. We adopted a two-step analysis strategy in the discovery stage: we first conducted a case-only interaction analysis to assess the relationship between SNPs and smoking behavior using 13 336 non-small cell lung cancer cases. Candidate SNPs with P-value <0.001 were further analyzed using a standard case-control interaction analysis including 13 970 controls. The significant SNPs with P-value <3.5 x 10(-5) (correcting for multiple tests) from the case-control analysis in the discovery stage were further validated using an independent replication dataset comprising 5377 controls and 3054 non-small cell lung cancer cases. We further stratified the analysis by histological subtypes. Two novel SNPs, rs6441286 and rs17723637, were identified for overall lung cancer risk. The interaction odds ratio and meta-analysis P-value for these two SNPs were 1.24 with 6.96 x 10(-7) and 1.37 with 3.49 x 10(-7), respectively. In addition, interaction of smoking with rs4751674 was identified in squamous cell lung carcinoma with an odds ratio of 0.58 and P-value of 8.12 x 10(-7). This study is by far the largest genome-wide SNP-smoking interaction analysis reported for lung cancer. The three identified novel SNPs provide potential candidate biomarkers for lung cancer risk screening and intervention. The results from our study reinforce that gene-smoking interactions play important roles in the etiology of lung cancer and account for part of the missing heritability of this disease.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Gene-environment Interaction; Susceptibility Loci; Changing Epidemiology; Tobacco-smoke; Association; 5p15.33; Adenocarcinoma; Consortium; Variants
Sprache englisch
Veröffentlichungsjahr 2018
Prepublished im Jahr 2017
HGF-Berichtsjahr 2017
ISSN (print) / ISBN 0143-3334
e-ISSN 1460-2180
Zeitschrift Carcinogenesis
Quellenangaben Band: 39, Heft: 3, Seiten: 336-346 Artikelnummer: , Supplement: ,
Verlag Oxford University Press
Verlagsort Oxford
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
80000 - German Center for Lung Research
Forschungsfeld(er) Genetics and Epidemiology
Lung Research
PSP-Element(e) G-504000-009
G-504091-001
G-501800-392
DOI 10.1093/carcin/bgx113
WOS ID WOS:000427120100004
Scopus ID 85043592947
PubMed ID 29059373
Erfassungsdatum 2017-11-10
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