Literature DB >> 25077884

Synergistic association of six well-characterized polymorphisms in three genes of the renin-angiotensin system with breast cancer among Han Chinese women.

Peijian Ding1, Yang Yang2, Shuangjian Ding3, Baoxin Sun4.   

Abstract

OBJECTIVE: Breast cancer is the most common malignancy that is believed to be largely under genetic control. We therefore investigated both individual and interactive associations of six well-characterized polymorphisms in three genes of the renin-angiotensin system with breast cancer among Han Chinese women. METHODS AND
RESULTS: This was a hospital-based study involving 606 patients diagnosed with sporadic breast cancer and 633 age- and ethnicity-matched controls. There were significant differences in genotype and allele distributions of ACE gene rs4343 (pgentoype = 0.002 and pallele < 0.001) and AGTR1 gene rs5186 polymorphisms (pgentoype < 0.001 and pallele < 0.001), even with a Bonferroni-corrected alpha of 0.0042 (0.05/12). Allele combinations of T-T-T-G-C-A (alleles in order of rs5050, rs699, rs4291, rs4343, rs188018 and rs5186), G-C-T-G-C-A and T-C-T-G-C-C, respectively, had the age-adjusted odds of 2.21 (p = 0.021), 3.01 (p = 0.021) and 5.24 (p = 0.015) for breast cancer, whereas allele combination T-C-T-A-T-A was associated with a 76% (p = 0.008) reduced risk. Interaction analysis revealed an overall best two-locus model including rs4343 and rs4291 polymorphisms, and this model had the maximal testing accuracy of 0.6259 with a cross-validation consistency of 10 (p = 0.0015).
CONCLUSION: Our findings support a contributory role of the ACE gene, with its genetic polymorphisms acting synergistically, in predisposition to breast cancer among Han Chinese women.
© The Author(s) 2014.

Entities:  

Keywords:  Breast cancer; association study; gene; polymorphism; the renin-angiotensin system

Mesh:

Substances:

Year:  2014        PMID: 25077884     DOI: 10.1177/1470320314542828

Source DB:  PubMed          Journal:  J Renin Angiotensin Aldosterone Syst        ISSN: 1470-3203            Impact factor:   1.636


  3 in total

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Journal:  Biosci Rep       Date:  2019-06-14       Impact factor: 3.840

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  3 in total

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