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Assessment of Multifactor Gene-Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors.

Publication ,  Journal Article
Usset, JL; Raghavan, R; Tyrer, JP; McGuire, V; Sieh, W; Webb, P; Chang-Claude, J; Rudolph, A; Anton-Culver, H; Berchuck, A; Brinton, L; Wu, AH ...
Published in: Cancer Epidemiol Biomarkers Prev
May 2016

BACKGROUND: Many epithelial ovarian cancer (EOC) risk factors relate to hormone exposure and elevated estrogen levels are associated with obesity in postmenopausal women. Therefore, we hypothesized that gene-environment interactions related to hormone-related risk factors could differ between obese and non-obese women. METHODS: We considered interactions between 11,441 SNPs within 80 candidate genes related to hormone biosynthesis and metabolism and insulin-like growth factors with six hormone-related factors (oral contraceptive use, parity, endometriosis, tubal ligation, hormone replacement therapy, and estrogen use) and assessed whether these interactions differed between obese and non-obese women. Interactions were assessed using logistic regression models and data from 14 case-control studies (6,247 cases; 10,379 controls). Histotype-specific analyses were also completed. RESULTS: SNPs in the following candidate genes showed notable interaction: IGF1R (rs41497346, estrogen plus progesterone hormone therapy, histology = all, P = 4.9 × 10(-6)) and ESR1 (rs12661437, endometriosis, histology = all, P = 1.5 × 10(-5)). The most notable obesity-gene-hormone risk factor interaction was within INSR (rs113759408, parity, histology = endometrioid, P = 8.8 × 10(-6)). CONCLUSIONS: We have demonstrated the feasibility of assessing multifactor interactions in large genetic epidemiology studies. Follow-up studies are necessary to assess the robustness of our findings for ESR1, CYP11A1, IGF1R, CYP11B1, INSR, and IGFBP2 Future work is needed to develop powerful statistical methods able to detect these complex interactions. IMPACT: Assessment of multifactor interaction is feasible, and, here, suggests that the relationship between genetic variants within candidate genes and hormone-related risk factors may vary EOC susceptibility. Cancer Epidemiol Biomarkers Prev; 25(5); 780-90. ©2016 AACR.

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Published In

Cancer Epidemiol Biomarkers Prev

DOI

EISSN

1538-7755

Publication Date

May 2016

Volume

25

Issue

5

Start / End Page

780 / 790

Location

United States

Related Subject Headings

  • Risk Factors
  • Polymorphism, Single Nucleotide
  • Ovarian Neoplasms
  • Obesity
  • Middle Aged
  • Humans
  • Gene-Environment Interaction
  • Female
  • Epidemiology
  • 42 Health sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Usset, J. L., Raghavan, R., Tyrer, J. P., McGuire, V., Sieh, W., Webb, P., … Ovarian Cancer Association Consortium and the Australian Cancer Study, . (2016). Assessment of Multifactor Gene-Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors. Cancer Epidemiol Biomarkers Prev, 25(5), 780–790. https://doi.org/10.1158/1055-9965.EPI-15-1039
Usset, Joseph L., Rama Raghavan, Jonathan P. Tyrer, Valerie McGuire, Weiva Sieh, Penelope Webb, Jenny Chang-Claude, et al. “Assessment of Multifactor Gene-Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors.Cancer Epidemiol Biomarkers Prev 25, no. 5 (May 2016): 780–90. https://doi.org/10.1158/1055-9965.EPI-15-1039.
Usset JL, Raghavan R, Tyrer JP, McGuire V, Sieh W, Webb P, et al. Assessment of Multifactor Gene-Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors. Cancer Epidemiol Biomarkers Prev. 2016 May;25(5):780–90.
Usset, Joseph L., et al. “Assessment of Multifactor Gene-Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors.Cancer Epidemiol Biomarkers Prev, vol. 25, no. 5, May 2016, pp. 780–90. Pubmed, doi:10.1158/1055-9965.EPI-15-1039.
Usset JL, Raghavan R, Tyrer JP, McGuire V, Sieh W, Webb P, Chang-Claude J, Rudolph A, Anton-Culver H, Berchuck A, Brinton L, Cunningham JM, DeFazio A, Doherty JA, Edwards RP, Gayther SA, Gentry-Maharaj A, Goodman MT, Høgdall E, Jensen A, Johnatty SE, Kiemeney LA, Kjaer SK, Larson MC, Lurie G, Massuger L, Menon U, Modugno F, Moysich KB, Ness RB, Pike MC, Ramus SJ, Rossing MA, Rothstein J, Song H, Thompson PJ, van den Berg DJ, Vierkant RA, Wang-Gohrke S, Wentzensen N, Whittemore AS, Wilkens LR, Wu AH, Yang H, Pearce CL, Schildkraut JM, Pharoah P, Goode EL, Fridley BL, Ovarian Cancer Association Consortium and the Australian Cancer Study. Assessment of Multifactor Gene-Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors. Cancer Epidemiol Biomarkers Prev. 2016 May;25(5):780–790.

Published In

Cancer Epidemiol Biomarkers Prev

DOI

EISSN

1538-7755

Publication Date

May 2016

Volume

25

Issue

5

Start / End Page

780 / 790

Location

United States

Related Subject Headings

  • Risk Factors
  • Polymorphism, Single Nucleotide
  • Ovarian Neoplasms
  • Obesity
  • Middle Aged
  • Humans
  • Gene-Environment Interaction
  • Female
  • Epidemiology
  • 42 Health sciences