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. 2014 Dec;23(12):2971-6.
doi: 10.1158/1055-9965.EPI-14-0893. Epub 2014 Sep 5.

No Evidence of Gene-Calcium Interactions From Genome-Wide Analysis of Colorectal Cancer Risk

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Free PMC article

No Evidence of Gene-Calcium Interactions From Genome-Wide Analysis of Colorectal Cancer Risk

Mengmeng Du et al. Cancer Epidemiol Biomarkers Prev. .
Free PMC article

Abstract

Background: Calcium intake may reduce risk of colorectal cancer, but the mechanisms remain unclear. Studies of interaction between calcium intake and SNPs in calcium-related pathways have yielded inconsistent results.

Methods: To identify gene-calcium interactions, we tested interactions between approximately 2.7 million SNPs across the genome with self-reported calcium intake (from dietary or supplemental sources) in 9,006 colorectal cancer cases and 9,503 controls of European ancestry. To test for multiplicative interactions, we used multivariable logistic regression and defined statistical significance using the conventional genome-wide α = 5E-08.

Results: After accounting for multiple comparisons, there were no statistically significant SNP interactions with total, dietary, or supplemental calcium intake.

Conclusions: We found no evidence of SNP interactions with calcium intake for colorectal cancer risk in a large population of 18,509 individuals.

Impact: These results suggest that in genome-wide analysis common genetic variants do not strongly modify the association between calcium intake and colorectal cancer in European populations.

Figures

Figure 1
Figure 1
Association between calcium intake and risk of CRC. Estimates correspond to each quartile increase in mg/day (total, dietary) or ≥500 vs. <500 mg/day (supplemental). Total and dietary calcium intake were coded as sex- and study-specific quartiles based on cut points in controls, and modeled as an ordinal variable. Estimates adjusted for age (continuous), sex (F/M), study center (indicators), and energy consumption (continuous). Abbreviations: CC, case-control; OR, odds ratio; Lower/Upper, lower and upper bounds of 95% confidence interval.

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