title: Association of single nucleotide polymorphism rs6983267 with the risk of prostate cancer.
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.
authors.affiliation: College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China.|School of Life Sciences, Fudan University, Shanghai, China.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Yang
authors.affiliation: College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China.|Research Center for Translational Medicine, East Hospital, Tongji University School of Medicine, Shanghai, China.
authors.forename: Wenjing
authors.initials: W
authors.lastname: Wang
authors.affiliation: Department of Statistics, Rice University, Houston, TX, USA.
authors.forename: Liangcai
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Department of Biostatistics, School of Science, Anhui Agricultural University, Hefei, China.
authors.forename: Shihua
authors.initials: S
authors.lastname: Zhang
authors.affiliation: Genome Analysis Laboratory, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China.
authors.forename: Guiyou
authors.initials: G
authors.lastname: Liu
authors.affiliation: College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, China.
authors.forename: Yingcui
authors.initials: Y
authors.lastname: Yu
authors.affiliation: College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China.
authors.forename: Mingzhi
authors.initials: M
authors.lastname: Liao
mesh_terms: D020022:Genetic Predisposition to Disease / Q000235:genetics*; D005838:Genotype; D006801:Humans; D008297:Male; D020641:Polymorphism, Single Nucleotide; D011471:Prostatic Neoplasms / Q000235:genetics*; D012307:Risk Factors
keywords: association; meta-analysis; prostate cancer; risk; rs6983267