Title |
No association between the progesterone receptor gene polymorphism (+331G/a) and the risk of breast cancer: an updated meta-analysis
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Published in |
BMC Medical Genomics, October 2017
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DOI | 10.1186/s12881-017-0487-3 |
Pubmed ID | |
Authors |
Xing-ling Qi, Jun Yao, Yong Zhang |
Abstract |
Many published studies have estimated the association between the +331G/A (rs10895068) polymorphism in the progesterone receptor (PgR) gene and breast cancer risk. However, the results remain inconsistent and controversial. To address this inconsistency, we systematically interrogated the aforementioned association via a meta-analysis. Through a literature search, we identified 13 case-control studies, including 12,453 cases and 14,056 case-free controls. The strengths of reported associations were evaluated using odds ratios (ORs) with 95% confidence intervals (95%CIs). An association was found between +331G/A polymorphism and +331G/A risk in the dominant model (p = 0.027). Via subgroup analysis, we found no association between +331G/A and breast cancer risk in Caucasians, Asians or mixed racial groups. Through meta-analysis, we were able to gain insight into previously reported associations between +331G/A polymorphism and breast cancer risk. However, further studies are still needed to provide more evidence. |
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Demographic breakdown
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Professor | 2 | 18% |
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Researcher | 1 | 9% |
Other | 0 | 0% |
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Neuroscience | 1 | 9% |
Other | 0 | 0% |
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