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Genome-wide interaction study of smoking behavior and non-small cell lung cancer risk in Caucasian population
Y. Li, X. Xiao, Y. Han, O. Gorlova, D. Qian, N. Leighl, JS. Johansen, M. Barnett, C. Chen, G. Goodman, A. Cox, F. Taylor, P. Woll, HE. Wichmann, J. Manz, T. Muley, A. Risch, A. Rosenberger, SM. Arnold, EB. Haura, C. Bolca, I. Holcatova, V....
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural
NLK
Free Medical Journals
od 1996 do Před 1 rokem
Open Access Digital Library
od 1996-01-01
Medline Complete (EBSCOhost)
od 1996-01-01 do Před 1 rokem
PubMed
29059373
DOI
10.1093/carcin/bgx113
Knihovny.cz E-zdroje
- MeSH
- běloši MeSH
- celogenomová asociační studie MeSH
- genetická predispozice k nemoci genetika MeSH
- genotyp MeSH
- interakce genů a prostředí MeSH
- jednonukleotidový polymorfismus MeSH
- kouření škodlivé účinky MeSH
- lidé MeSH
- nádory plic etiologie genetika MeSH
- nemalobuněčný karcinom plic etiologie genetika MeSH
- studie případů a kontrol MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- Research Support, N.I.H., Extramural MeSH
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 13336 non-small cell lung cancer cases. Candidate SNPs with P-value <0.001 were further analyzed using a standard case-control interaction analysis including 13970 controls. The significant SNPs with P-value <3.5 × 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 × 10-7 and 1.37 with 3.49 × 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 × 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.
Biomedical Data Science Department Dartmouth College Hanover NH USA
Department for Health Evidence Radboud University Medical Center Nijmegen EZ Netherlands
Department of Cancer Epidemiology H Lee Moffitt Cancer Center and Research Institute Tampa FL USA
Department of Clinical Science University of Bergen Bergen Norway
Department of Clinical Sciences and Community Health DISCCO University of Milan Milan Italy
Department of Clinical Sciences Lund University Lund Sweden
Department of Environmental Epidemiology Nofer Institute of Occupational Medicine Lódz Pol
Department of Epidemiology and Biostatistics Imperial College London St Mary's Campus London UK
Department of Epidemiology and Prevention Russian N N Blokhin Cancer Research Centre Moscow Russia
Department of Epidemiology Harvard School of Public Health Boston MA USA
Department of Epidemiology Norris Cotton Cancer Center Dartmouth College Hanover NH USA
Department of Epidemiology University of Texas MD Anderson Cancer Center Houston TX USA
Department of Hygiene and Epidemiology Medical School University of Athens Athens Greece
Department of Integrative Oncology British Columbia Cancer Research Centre Vancouver BC Canada
Department of Internal Medicine Skåne University Hospital Malmö Sweden
Department of Medical Biosciences Umeå University Umeå Sweden
Department of Molecular and Clinical Cancer Medicine University of Liverpool Liverpool UK
Department of Oncology University of Sheffield Sheffield UK
Department of Pharmaceutical Sciences College of Pharmacy Washington State University Spokane WA USA
Department of Radiation Sciences Umeå University Umeå Sweden
Department of Thoracic Oncology H Lee Moffitt Cancer Center Tampa FL USA
Department of Thoracic Surgery National Institute of Tuberculosis and Lung Diseases Warsaw Pol
Department of Toxicology National Institute of Occupational Health Oslo Norway
Epidemiology Program University of Hawaii Cancer Center Honolulu HI USA
Faculty of Medicine University of Ostrava Ostrava Czech Republic
Genetic Epidemiology School of Health and Related Research University of Sheffield Sheffield UK
Institute of Epidemiology Helmholtz Centre Munich Neuherberg Germany
Institute of Translational Medicine University of Liverpool Liverpool UK
International Agency for Research on Cancer Genetic Epidemiology Group Lyon France
International Agency for Research on Cancer World Health Organization Lyon France
International Organization for Cancer Prevention and Research Belgrade Serbia
Markey Cancer Center University of Kentucky Lexington KY USA
Medical Oncology Toronto Princess Margaret Hospital Toronto ON Canada
Medicina IUOPA Universidad de Oviedo Oviedo Spain
Molecular and Nutritional Epidemiology Unit CSPO Scientific Institute of Tuscany Florence Italy
Princess Margaret Cancer Centre Toronto ON M5G Canada
Public Health Sciences Division Cancer Prevention Program Swedish Medical Center Seattle WA USA
Section for Epidemiology Department of Public Health Aarhus University Aarhus C Denmark
The Institute of Cancer Research London UK
Thoracic Surgery Division Marius Nasta National Institute of Pneumology Bucure?ti Romania
Citace poskytuje Crossref.org
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