Oncotarget

Research Papers:

Association of single nucleotide polymorphism rs6983267 with the risk of prostate cancer

Yuan Yang _, Wenjing Wang, Liangcai Zhang, Shihua Zhang, Guiyou Liu, Yingcui Yu and Mingzhi Liao

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Oncotarget. 2016; 7:25528-25534. https://doi.org/10.18632/oncotarget.8186

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Abstract

Yuan Yang1,2, Wenjing Wang1,3, Liangcai Zhang4, Shihua Zhang5, Guiyou Liu6, Yingcui Yu7, Mingzhi Liao1

1College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China

2School of Life Sciences, Fudan University, Shanghai, China

3Research Center for Translational Medicine, East Hospital, Tongji University School of Medicine, Shanghai, China

4Department of Statistics, Rice University, Houston, TX, USA

5Department of Biostatistics, School of Science, Anhui Agricultural University, Hefei, China

6Genome Analysis Laboratory, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China

7College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, China

Correspondence to:

Mingzhi Liao, e-mail: liaomingzhi83@163.com

Yingcui Yu, e-mail: yuyingcui110@126.com

Keywords: prostate cancer, rs6983267, meta-analysis, risk, association

Received: January 10, 2016    Accepted: March 04, 2016    Published: March 18, 2016

ABSTRACT

Many studies have investigated the association between single nucleotide polymorphism (SNP) rs6983267 and the risk of prostate cancer. However, results of these studies are inconsistent. Therefore, we summarised available data and performed a meta-analysis to determine this association. Relevant articles were identified by searching the PubMed, Web of Science and Embase database. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using random effects model. We used dominant model (GG + TG vs TT), recessive model (GG vs TG + TT) and additive model (GG +TT vs TG) to determine the association between the rs6983267 polymorphism and risk of prostate cancer. Summary, 9 studies involving 8726 participants were included in this meta-analysis. Overall, though no association was observed between the rs6983267 polymorphism and risk of prostate cancer, subgroup analysis according to ethnicity showed a significant association between the rs6983267 polymorphism and risk of prostate cancer among white European men [recessive model: GG vs TG + TT, OR=1.21, (95% CI: 1.03, 1.42), P=0.02]. Our results indicate that the GG genotype of the rs6983267 polymorphism will increase individual susceptibility to prostate cancer in white European men.


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