4.8 Article

Characterization of Gene-Environment Interactions for Colorectal Cancer Susceptibility Loci

Journal

CANCER RESEARCH
Volume 72, Issue 8, Pages 2036-2044

Publisher

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/0008-5472.CAN-11-4067

Keywords

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Categories

Funding

  1. Ontario Research Fund
  2. Canadian Institutes of Health Research
  3. Canadian Cancer Society Research Institute
  4. Ontario Institute for Cancer Research through Ontario Ministry of Research
  5. regional Hospital Clinical Research Program (PHRC)
  6. Regional Council of Pays de la Loire
  7. Groupement des Entreprises Francaises dans la Lutte contre le Cancer (GEFLUC)
  8. Association Anne de Bretagne Genetique
  9. Ligue Regionale Contre le Cancer (LRCC)
  10. National Cancer Institute, NIH [CA-95-011]
  11. German Research Council (Deutsche Forschungsgemeinschaft) [BR 1704/6-1, BR 1704/6-3, BR 1704/6-4, CH 117/1-1]
  12. German Federal Ministry of Education and Research [01KH0404, 01ER0814]
  13. National Cancer Institute, NIH, U.S. Department of Health and Human Services [R01 CA48998]
  14. National Cancer Institute
  15. National Institutes of Health
  16. U.S. Department of Health and Human Services [R01 CA059045, R25 CA094880, U01 CA137088]
  17. Institutes of Health
  18. NIH [P01 CA 055075, P50 CA 127003, R01 137178, P01 CA 087969]
  19. Division of Cancer Epidemiology and Genetics
  20. Division of Cancer Prevention
  21. NIH, Genes, Environment and Health Initiative [NIH GEI] [Z01 CP 010200, U01 HG 004438]
  22. Gene Environment Association Studies, GENEVA Coordinating Center [U01 HG004446]
  23. Johns Hopkins University Center for Inherited Disease Research
  24. National Heart, Lung, and Blood Institute, NIH
  25. U. S. Department of Health and Human Services [HHSN268201100001C-4C, HHSN268201100046C, HHSN271201100004C, NO1WH4421]
  26. [U01 CA074783]

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Genome-wide association studies (GWAS) have identified more than a dozen loci associated with colorectal cancer (CRC) risk. Here, we examined potential effect-modification between single-nucleotide polymorphisms (SNP) at 10 of these loci and probable or established environmental risk factors for CRC in 7,016 CRC cases and 9,723 controls from nine cohort and case-control studies. We used meta-analysis of an efficient empirical-Bayes estimator to detect potential multiplicative interactions between each of the SNPs [rs16892766 at8q23.3 (EIF3H/UTP23), rs6983267 at 8q24 (MYC), rs10795668 at 10p14 (FLJ3802842), rs3802842 at 11q23 (LOC120376), rs4444235 at 14q22.2 (BMP4), rs4779584 at 15q13 (GREM1), rs9929218 at 16q22.1 (CDH1), rs4939827 at 18q21 (SMAD7), rs10411210 at 19q13.1 (RHPN2), and rs961253 at 20p12.3 (BMP2)] and select major CRC risk factors (sex, body mass index, height, smoking status, aspirin/nonsteroidal anti-inflammatory drug use, alcohol use, and dietary intake of calcium, folate, red meat, processed meat, vegetables, fruit, and fiber). The strongest statistical evidence for a gene-environment interaction across studies was for vegetable consumption and rs16892766, located on chromosome 8q23.3, near the EIF3H and UTP23 genes (nominal P-interaction = 1.3 x 10(-4); adjusted P = 0.02). The magnitude of the main effect of the SNP increased with increasing levels of vegetable consumption. No other interactions were statistically significant after adjusting for multiple comparisons. Overall, the association of most CRC susceptibility loci identified in initial GWAS seems to be invariant to the other risk factors considered; however, our results suggest potential modification of the rs16892766 effect by vegetable consumption. Cancer Res; 72(8); 2036-44. (C) 2012 AACR.

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