No evidence of gene-calcium interactions from genome-wide analysis of colorectal cancer risk

Mengmeng Du, Xuehong Zhang, Michael Hoffmeister, Robert E. Schoen, John A. Baron, Sonja I. Berndt, Hermann Brenner, Christopher S. Carlson, Graham Casey, Andrew T. Chan, Keith R. Curtis, David Duggan, W. James Gauderman, Edward L. Giovannucci, Jian Gong, Tabitha A. Harrison, Richard B. Hayes, Brian E. Henderson, John L. Hopper, Li HsuThomas J. Hudson, Carolyn M. Hutter, Mark A. Jenkins, Shuo Jiao, Jonathan M. Kocarnik, Laurence N. Kolonel, Loic Le Marchand, Yi Lin, Polly A. Newcomb, Anja Rudolph, Daniela Seminara, Mark D. Thornquist, Cornelia M. Ulrich, Emily White, Kana Wu, Brent W. Zanke, Peter T. Campbell, Martha L. Slattery, Ulrike Peters, Jenny Chang-Claude, John D. Potter

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

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 a = 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.

Original languageEnglish (US)
Pages (from-to)2971-2976
Number of pages6
JournalCancer Epidemiology Biomarkers and Prevention
Volume23
Issue number12
DOIs
StatePublished - Dec 1 2014
Externally publishedYes

ASJC Scopus subject areas

  • Epidemiology
  • Oncology

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