Genome-Wide Gene-Diabetes and Gene-Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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/m(2)) 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 covari- ates. 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 jointeffect test detected numerous genome-wide significant GxE signals in the GWAS main effects top hit regions, but the significance diminished after adjusting for theGWAStop 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 x 10(-6)) was observed in the meta-analysis (P-GxE = 1.2 x 10(-6), P-Joint = 4.2 x 10(-7)).
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.
Originalsprog | Engelsk |
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Tidsskrift | Cancer Epidemiology, Biomarkers & Prevention |
Vol/bind | 29 |
Udgave nummer | 9 |
Sider (fra-til) | 1784-1791 |
Antal sider | 8 |
ISSN | 1055-9965 |
DOI | |
Status | Udgivet - 2020 |
Links
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7483330/pdf/nihms-1604785.pdf
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