The effect of genetic variants on the relationship between statins and breast cancer in postmenopausal women in the women’s health initiative observational study

Cathryn H. Bock*, Allison M. Jay, Gregory Dyson, Jennifer L. Beebe-Dimmer, Michele L. Cote, Lifang Hou, Barbara V. Howard, Pinkal Desai, Kristen Purrington, Ross Prentice, Michael S. Simon

*Corresponding author for this work

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Purpose Statins have been postulated to have chemopreventive activity against breast cancer. We evaluated whether germline genetic polymorphisms modified the relationship between statins and breast cancer risk using data from the Women’s Health Initiative. We evaluated these interactions using both candidate gene and agnostic genome-wide approaches. Methods To identify candidate gene–statin interactions, we tested interactions between 22 SNPS in nine candidate genes implicated in the effect of statins on lipid metabolism in 1687 cases and 1687 controls. We then evaluated statin use interaction with the remaining 30,380 SNPs available in this sample from the CGEMS GWAS study. Results After adjusting for multiple comparisons, no SNP interactions with statin usage and risk of breast cancer were statistically significant in either the candidate genes or genome-wide approaches. Conclusions We found no evidence of SNP interactions with statin usage for breast cancer risk in a population of 3374 individuals. These results suggest that genome-wide common genetic variants do not moderate the association between statin usage and breast cancer in the population of women in the Women’s Health Initiative.

Original languageEnglish (US)
Pages (from-to)741-749
Number of pages9
JournalBreast Cancer Research and Treatment
Volume167
Issue number3
DOIs
StatePublished - Oct 24 2018

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Hydroxymethylglutaryl-CoA Reductase Inhibitors
Women's Health
Observational Studies
Breast Neoplasms
Single Nucleotide Polymorphism
Genome
Genes
Genome-Wide Association Study
Genetic Polymorphisms
Lipid Metabolism
Population

Keywords

  • Breast cancer
  • Cholesterol
  • GWAS
  • SNPS
  • Statins

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Cite this

Bock, Cathryn H. ; Jay, Allison M. ; Dyson, Gregory ; Beebe-Dimmer, Jennifer L. ; Cote, Michele L. ; Hou, Lifang ; Howard, Barbara V. ; Desai, Pinkal ; Purrington, Kristen ; Prentice, Ross ; Simon, Michael S. / The effect of genetic variants on the relationship between statins and breast cancer in postmenopausal women in the women’s health initiative observational study. In: Breast Cancer Research and Treatment. 2018 ; Vol. 167, No. 3. pp. 741-749.
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abstract = "Purpose Statins have been postulated to have chemopreventive activity against breast cancer. We evaluated whether germline genetic polymorphisms modified the relationship between statins and breast cancer risk using data from the Women’s Health Initiative. We evaluated these interactions using both candidate gene and agnostic genome-wide approaches. Methods To identify candidate gene–statin interactions, we tested interactions between 22 SNPS in nine candidate genes implicated in the effect of statins on lipid metabolism in 1687 cases and 1687 controls. We then evaluated statin use interaction with the remaining 30,380 SNPs available in this sample from the CGEMS GWAS study. Results After adjusting for multiple comparisons, no SNP interactions with statin usage and risk of breast cancer were statistically significant in either the candidate genes or genome-wide approaches. Conclusions We found no evidence of SNP interactions with statin usage for breast cancer risk in a population of 3374 individuals. These results suggest that genome-wide common genetic variants do not moderate the association between statin usage and breast cancer in the population of women in the Women’s Health Initiative.",
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The effect of genetic variants on the relationship between statins and breast cancer in postmenopausal women in the women’s health initiative observational study. / Bock, Cathryn H.; Jay, Allison M.; Dyson, Gregory; Beebe-Dimmer, Jennifer L.; Cote, Michele L.; Hou, Lifang; Howard, Barbara V.; Desai, Pinkal; Purrington, Kristen; Prentice, Ross; Simon, Michael S.

In: Breast Cancer Research and Treatment, Vol. 167, No. 3, 24.10.2018, p. 741-749.

Research output: Contribution to journalArticle

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T1 - The effect of genetic variants on the relationship between statins and breast cancer in postmenopausal women in the women’s health initiative observational study

AU - Bock, Cathryn H.

AU - Jay, Allison M.

AU - Dyson, Gregory

AU - Beebe-Dimmer, Jennifer L.

AU - Cote, Michele L.

AU - Hou, Lifang

AU - Howard, Barbara V.

AU - Desai, Pinkal

AU - Purrington, Kristen

AU - Prentice, Ross

AU - Simon, Michael S.

PY - 2018/10/24

Y1 - 2018/10/24

N2 - Purpose Statins have been postulated to have chemopreventive activity against breast cancer. We evaluated whether germline genetic polymorphisms modified the relationship between statins and breast cancer risk using data from the Women’s Health Initiative. We evaluated these interactions using both candidate gene and agnostic genome-wide approaches. Methods To identify candidate gene–statin interactions, we tested interactions between 22 SNPS in nine candidate genes implicated in the effect of statins on lipid metabolism in 1687 cases and 1687 controls. We then evaluated statin use interaction with the remaining 30,380 SNPs available in this sample from the CGEMS GWAS study. Results After adjusting for multiple comparisons, no SNP interactions with statin usage and risk of breast cancer were statistically significant in either the candidate genes or genome-wide approaches. Conclusions We found no evidence of SNP interactions with statin usage for breast cancer risk in a population of 3374 individuals. These results suggest that genome-wide common genetic variants do not moderate the association between statin usage and breast cancer in the population of women in the Women’s Health Initiative.

AB - Purpose Statins have been postulated to have chemopreventive activity against breast cancer. We evaluated whether germline genetic polymorphisms modified the relationship between statins and breast cancer risk using data from the Women’s Health Initiative. We evaluated these interactions using both candidate gene and agnostic genome-wide approaches. Methods To identify candidate gene–statin interactions, we tested interactions between 22 SNPS in nine candidate genes implicated in the effect of statins on lipid metabolism in 1687 cases and 1687 controls. We then evaluated statin use interaction with the remaining 30,380 SNPs available in this sample from the CGEMS GWAS study. Results After adjusting for multiple comparisons, no SNP interactions with statin usage and risk of breast cancer were statistically significant in either the candidate genes or genome-wide approaches. Conclusions We found no evidence of SNP interactions with statin usage for breast cancer risk in a population of 3374 individuals. These results suggest that genome-wide common genetic variants do not moderate the association between statin usage and breast cancer in the population of women in the Women’s Health Initiative.

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