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Associations between vitamin D receptor polymorphisms and breast cancer risk

Overview of attention for article published in Tumor Biology, July 2013
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Title
Associations between vitamin D receptor polymorphisms and breast cancer risk
Published in
Tumor Biology, July 2013
DOI 10.1007/s13277-013-0967-9
Pubmed ID
Authors

Jie Wang, Qi He, Yu-guo Shao, Min Ji, Wei Bao

Abstract

Many epidemiologic studies have investigated the association between vitamin D receptor (VDR) gene polymorphisms and breast cancer risk, but the results were inconsistent. We performed a meta-analysis of 31 studies on VDR polymorphisms, including FokI, BsmI, TaqI, and ApaI, and breast cancer risk published before May 2013. For FokI, the allele of f was found to be associated with increased risk of breast cancer compared with F (OR, 1.19; 95% CI, 1.03-1.36). Patients with ff genotype were at significantly higher risk of breast cancer compared with those with FF genotype (OR, 1.95; 95% CI, 1.66-2.29). In subgroup analysis by race, Fok1 polymorphism was significantly associated with breast cancer risk for Caucasian population (f vs. F: OR, 1.35; 95% CI, 1.14-1.59; ff vs. FF: OR, 2.18; 95% CI, 1.86-2.54; ff vs. FF + Ff: OR, 1.16; 95% CI, 1.03-1.30). For ApaI, aa genotype was associated with increased breast cancer risk in Asian population based on four studies (aa vs. Aa + AA, OR, 1.49; 95% CI, 1.12-1.98). No significant association was found between breast cancer risk and ApaI and TaqI polymorphism in different models and populations. Our updated meta-analysis showed that Fok1 polymorphism is associated with breast cancer risk both in general population and in Caucasian population. ApaI polymorphism might be associated with breast cancer risk in Asian population. Large well-designed epidemiological studies are necessary to clarify the risk identified in the current meta-analysis.

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Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 21%
Lecturer 3 16%
Professor 3 16%
Student > Bachelor 2 11%
Student > Postgraduate 2 11%
Other 4 21%
Unknown 1 5%
Readers by discipline Count As %
Medicine and Dentistry 6 32%
Biochemistry, Genetics and Molecular Biology 3 16%
Agricultural and Biological Sciences 3 16%
Nursing and Health Professions 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 11%
Unknown 2 11%