title: The relationship between the polymorphisms of the CYP17A1 gene and hypertension: A meta-analysis.
abstract: OBJECTIVE
  With the development of genome-wide association studies (GWAS) concerning hypertension, a growing number of susceptibility genes related to hypertension have been revealed. Subsequently, several studies have investigated the association between CYP17A1 rs1004467 heritable variation and hypertension; however, the results have been inconsistent. In this study, a meta-analysis was performed to assess the association between the CYP17A1 rs1004467 polymorphism and hypertension risk.
  
  
  METHODS
  The PubMed, ISI Web of Science and Embase databases as well as China Wanfang, Weipu and the Chinese Journal Full-text Database were used to retrieve all publications from 2005 to 2013 related to case-control studies that reported a link between the risk factors for hypertension and the CYP17A1 polymorphism. All association studies were identified, and a meta-analysis was conducted using the RevMan 5.0 estimate for odds ratios (ORs) to determine whether the A allele predicts hypertension outcomes.
  
  
  RESULTS
  Three articles including five studies (totaling 4495 patients and 3529 controls) were identified. The overall effect suggested that rs1004467 was significantly associated with hypertension (OR=1.22, 95%CI 1.08-1.38, p=0.001).
  
  
  CONCLUSIONS
  The present meta-analysis confirmed the significant association between a polymorphism of the CYP17A1 gene and hypertension susceptibility. The CYP17A1 A allele should be considered a risk factor for hypertension.
authors.affiliation: Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, P.R. China.
authors.forename: Chuan-Fang
authors.initials: CF
authors.lastname: Dai
authors.affiliation: Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, P.R. China xiangxie999@sina.com.
authors.forename: Xiang
authors.initials: X
authors.lastname: Xie
authors.affiliation: Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, P.R. China.
authors.forename: Yi-Tong
authors.initials: YT
authors.lastname: Ma
authors.affiliation: Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, P.R. China.
authors.forename: Yi-Ning
authors.initials: YN
authors.lastname: Yang
authors.affiliation: Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, P.R. China.
authors.forename: Xiao-Mei
authors.initials: XM
authors.lastname: Li
authors.affiliation: Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, P.R. China.
authors.forename: Zhen-Yan
authors.initials: ZY
authors.lastname: Fu
authors.affiliation: Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, P.R. China.
authors.forename: Fen
authors.initials: F
authors.lastname: Liu
authors.affiliation: Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, P.R. China.
authors.forename: Bang-Dang
authors.initials: BD
authors.lastname: Chen
authors.affiliation: Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, P.R. China.
authors.forename: Min-Tao
authors.initials: MT
authors.lastname: Gai
mesh_terms: D056726:Genetic Association Studies; D020022:Genetic Predisposition to Disease; D006801:Humans; D006973:Hypertension / Q000201:enzymology* / Q000235:genetics*; D008957:Models, Genetic; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D017594:Publication Bias; D012307:Risk Factors; D013254:Steroid 17-alpha-Hydroxylase / Q000235:genetics*
chemical_list: C501892:CYP17A1 protein, human; D013254:Steroid 17-alpha-Hydroxylase
keywords: CYP17A1; hypertension; meta-analysis; polymorphism