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http://hdl.handle.net/2445/172604
Title: | Genome-wide interaction study of smoking behavior and non-small cell lung cancer risk in Caucasian population |
Author: | Li, Yafang Xiao, Xiangjun Han, Younghun Gorlova, Olga Qian, David Leighl, Natasha Johansen, Jakob S. Barnett, Matt Chen, Chu Goodman, Gary Cox, Angela Taylor, Fiona Woll, Penella Wichmann, H.-Erich Manz, Judith Muley, Thomas R. Risch, Angela Rosenberger, Albert Arnold, Susanne M. Haura, Eric B. Bolca, Ciprian Holcatova, Ivana Janout, Vladimir Kontic, Milica Lissowska, Jolanta Mukeriya, Anush Ognjanovic, Simona Orlowski, Tadeusz M. Scelo, Ghislaine Swiatkowska, Beata Zaridze, David Bakke, Per Skaug, Vidar Zienolddiny, Shanbeh Duell, Eric J. Butler, Lesley M. Houlston, Richard Soler Artigas, María Grankvist, Kjell Johansson, Mikael Shepherd, Frances A. Marcus, Michael W. Brunnström, Hans Manjer, Jonas Melander, Olle Muller, David C. Overvad, Kim Trichopoulou, Antonia Tumino, Rosario Liu, Geoffrey Bojesen, Stig E. Wu, Xifeng Marchand, Loïc Le Albanes, Demetrius Bickeböller, Heike Aldrich, Melinda C. Bush, William S. Tardón, Adonina Rennert, Gad Teare, M. Dawn Field, John K. Kiemeney, Lambertus A. L. M. Lazarus, Philip Haugen, Aage Lam, Stephen Schabath, Matthew B. Andrew, Angeline S. Bertazzi, Pier Alberto Pesatori, Angela C. Christiani, David C. Caporaso, Neil E. Johansson, Mattias McKay, James D. Brennan, Paul Hung, Rayjean J. Amos, Christopher I. |
Keywords: | Càncer de pulmó Hàbit de fumar Carcinogènesi Lung cancer Smoking Carcinogenesis |
Issue Date: | 1-Mar-2018 |
Publisher: | Oxford University Press |
Abstract: | 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. |
Note: | Versió postprint del document publicat a: https://doi.org/10.1093/carcin/bgx113 |
It is part of: | Carcinogenesis, 2018, vol. 39, num. 3, p. 336-346 |
URI: | http://hdl.handle.net/2445/172604 |
Related resource: | https://doi.org/10.1093/carcin/bgx113 |
Appears in Collections: | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
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