@article{3103897,
    title = "Genome-wide gene⇓diabetes and gene⇓obesity interaction scan in 8,255 cases and 11,900 controls from panscan and PanC4 consortia",
    author = "Tang, H. and Jiang, L. and Stolzenberg-Solomon, R.Z. and Arslan, A.A. and Beane Freeman, L.E. and Bracci, P.M. and Brennan, P. and Canzian, F. and Du, M. and Gallinger, S. and Giles, G.G. and Goodman, P.J. and Kooperberg, C. and Le Marchand, L. and Neale, R.E. and Shu, X.-O. and Visvanathan, K. and White, E. and Zheng, W. and Albanes, D. and Andreotti, G. and Babic, A. and Bamlet, W.R. and Berndt, S.I. and Blackford, A. and Bueno-De-Mesquita, B. and Buring, J.E. and Campa, D. and Chanock, S.J. and Childs, E. and Duell, E.J. and Fuchs, C. and Michael Gaziano, J. and Goggins, M. and Hartge, P. and Hassam, M.H. and Holly, E.A. and Hoover, R.N. and Hung, R.J. and Kurtz, R.C. and Lee, I.-M. and Malats, N. and Milne, R.L. and Ng, K. and Oberg, A.L. and Orlow, I. and Peters, U. and Porta, M. and Rabe, K.G. and Rothman, N. and Scelo, G. and Sesso, H.D. and Silverman, D.T. and Thompson, I.M. and Tjønneland, A. and Trichopoulou, A. and Wactawski-Wende, J. and Wentzensen, N. and Wilkens, L.R. and Yu, H. and Zeleniuch-Jacquotte, A. and Amundadottir, L.T. and Jacobs, E.J. and Petersen, G.M. and Wolpin, B.M. and Risch, H.A. and Chatterjee, N. and Klein, A.P. and Li, D. and Kraft, P. and Wei, P.",
    journal = "Cancer Epidemiology Biomarkers and Prevention",
    year = "2020",
    volume = "29",
    number = "9",
    pages = "1784-1791",
    publisher = "American Association for Cancer Research Inc.",
    doi = "10.1158/1055-9965.EPI-20-0275",
    keywords = "Article;  cohort analysis;  controlled study;  diabetes mellitus;  female;  gene frequency;  gene linkage disequilibrium;  genome-wide association study;  genotype;  genotype environment interaction;  human;  major clinical study;  male;  obesity;  pancreas cancer;  priority journal;  single nucleotide polymorphism;  case control study;  diabetes mellitus;  genetics;  genome-wide association study;  obesity;  procedures;  risk factor, Case-Control Studies;  Diabetes Mellitus;  Female;  Genome-Wide Association Study;  Humans;  Male;  Obesity;  Risk Factors",
    abstract = "Background: Obesity and diabetes are major modifiable risk factors for pancreatic cancer. Interactions between genetic variants and diabetes/obesity have not previously been comprehensively investigated in pancreatic cancer at the genome-wide level. Methods: We conducted a gene–environment interaction (GxE) analysis including 8,255 cases and 11,900 controls from four pancreatic cancer genome-wide association study (GWAS) datasets (Pancreatic Cancer Cohort Consortium I–III and Pancreatic Cancer Case Control Consortium). Obesity (body mass index ≥30 kg/m2) and diabetes (duration ≥3 years) were the environmental variables of interest. Approximately 870,000 SNPs (minor allele frequency ≥0.005, genotyped in at least one dataset) were analyzed. Case–control (CC), case-only (CO), and joint-effect test methods were used for SNP-level GxE analysis. As a complementary approach, gene-based GxE analysis was also performed. Age, sex, study site, and principal components accounting for population substructure were included as covariates. Meta-analysis was applied to combine individual GWAS summary statistics. Results: No genome-wide significant interactions (departures from a log-additive odds model) with diabetes or obesity were detected at the SNP level by the CC or CO approaches. The joint-effect test detected numerous genome-wide significant GxE signals in the GWAS main effects top hit regions, but the significance diminished after adjusting for the GWAS top hits. In the gene-based analysis, a significant interaction of diabetes with variants in the FAM63A (family with sequence similarity 63 member A) gene (significance threshold P < 1.25 106) was observed in the meta-analysis (PGxE ¼ 1.2 106, PJoint ¼ 4.2 107). Conclusions: This analysis did not find significant GxE interactions at the SNP level but found one significant interaction with diabetes at the gene level. A larger sample size might unveil additional genetic factors via GxE scans. Impact: This study may contribute to discovering the mechanism of diabetes-associated pancreatic cancer. © 2020 American Association for Cancer Research."
}