BACKGROUND: Occupational exposures are known risk factors for lung cancer. Role of genetically determined host factors in occupational exposure-related lung cancer is unclear. METHODS: We used genome-wide association (GWA) data from a case-control study conducted in 6 European countries from 1998 to 2002 to identify gene-occupation interactions and related pathways for lung cancer risk. GWA analysis was performed for each exposure using logistic regression and interaction term for genotypes, and exposure was included in this model. Both SNP-based and gene-based interaction P values were calculated. Pathway analysis was performed using three complementary methods, and analyses were adjusted for multiple comparisons. We analyzed 312,605 SNPs and occupational exposure to 70 agents from 1,802 lung cancer cases and 1,725 cancer-free controls. RESULTS: Mean age of study participants was 60.1 ± 9.1 years and 75% were male. Largest number of significant associations (P ≤ 1 × 10(-5)) at SNP level was demonstrated for nickel, brick dust, concrete dust, and cement dust, and for brick dust and cement dust at the gene-level (P ≤ 1 × 10(-4)). Approximately 14 occupational exposures showed significant gene-occupation interactions with pathways related to response to environmental information processing via signal transduction (P < 0.001 and FDR < 0.05). Other pathways that showed significant enrichment were related to immune processes and xenobiotic metabolism. CONCLUSION: Our findings suggest that pathways related to signal transduction, immune process, and xenobiotic metabolism may be involved in occupational exposure-related lung carcinogenesis. IMPACT: Our study exemplifies an integrative approach using pathway-based analysis to demonstrate the role of genetic variants in occupational exposure-related lung cancer susceptibility. Cancer Epidemiol Biomarkers Prev; 24(3); 570-9. ©2015 AACR.

Centre for Research in Epidemiology and Population Health INSERM Villejuif France

Department of Cancer Epidemiology and Genetics Masaryk Memorial Cancer Institute and MF MU Brno Brno Czech Republic

Department of Epidemiology The Nofer Institute of Occupational Medicine Lodz Poland

Department of Occupational Health Specialized State Health Institute Banska Bystrica Slovakia

Department of Preventive Medicine Faculty of Medicine Palacky University Olomouc Czech Republic

Icahn School of Medicine at Mount Sinai New York New York

Institute of Hygiene and Epidemiology Charles University 1st Faculty of Medicine Prague Czech Republic

International Agency for Research on Cancer Lyon France

M Sklodowska Curie Memorial Cancer Center and Institute of Oncology Warsaw Poland

National Institute of Environmental Health Budapest Hungary

National Institute of Public Health Bucharest Romania

Russian Cancer Research Center Moscow Russia

Cancer Epidemiol Biomarkers Prev. 2015 Jun;24(6):999. doi: 10.1158/1055-9965.EPI-15-0252. PubMed

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