title: Association of the six transmembrane protein of prostate 2 gene polymorphisms with metabolic syndrome in Han Chinese population.
abstract: OBJECTIVE
  The six-transmembrane protein of prostate 2 (STAMP2) has been demonstrated to play a potential role in the pathogenesis of metabolic syndrome (MetS). The present study was designed to investigate the association of STAMP2 gene polymorphisms with MetS in Han Chinese population.
  
  
  METHODS
  A case-control study enrolled 350 Han Chinese subjects in two groups: 182 MetS patients and 168 control subjects. The clinical and biochemical characteristics were determined. Three single nucleotide polymorphisms (SNPs), rs1981529, rs12386756 and rs10263111 in STAMP2 gene were genotyped. The association of STAMP2 gene polymorphisms with MetS was analyzed.
  
  
  RESULTS
  SNPs rs1981529 and rs10263111 were found to be significantly associated with MetS phenotype in male population (P=0.014 and 0.025). Moreover, SNP rs1981529 was found to be associated with high density lipoprotein-cholesterol in male cases and with body mass index in female cases (P=0.014 and 0.049). SNP rs10263111 was found to be associated with both waist circumference and diastolic blood pressure in total cases (P=0.044 and 0.033). Haplotype analysis yielded significant association of STAMP2 gene with MetS in total (global P=0.0109) and male population (global P=0.0004).
  
  
  CONCLUSIONS
  Our findings revealed that STAMP2 gene polymorphisms are likely to significantly contribute to the risk of MetS in male Han Chinese population.
authors: Qilu Hospital of Shandong University, Jinan, Shandong 250012, PR China.
authors: Wenchao
authors: W
authors: Zhang
authors: Mengxiong
authors: M
authors: Tang
authors: Ming
authors: M
authors: Zhong
authors: Zhihao
authors: Z
authors: Wang
authors: Yuanyuan
authors: Y
authors: Shang
authors: Huiping
authors: H
authors: Gong
authors: Yun
authors: Y
authors: Zhang
authors: Wei
authors: W
authors: Zhang
mesh_terms: D044466:Asian People / Q000235:genetics*; D001786:Blood Glucose; D001794:Blood Pressure; D016022:Case-Control Studies; D002681:China / Q000453:epidemiology; D003324:Coronary Artery Disease / Q000453:epidemiology / Q000209:etiology / Q000235:genetics*; D005260:Female; D005787:Gene Frequency; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D006239:Haplotypes; D006801:Humans; D007249:Inflammation / Q000453:epidemiology / Q000235:genetics*; D007333:Insulin Resistance / Q000235:genetics; D008297:Male; D008565:Membrane Proteins / Q000235:genetics*; D024821:Metabolic Syndrome / Q000150:complications / Q000453:epidemiology / Q000235:genetics*; D008875:Middle Aged; D010088:Oxidoreductases / Q000235:genetics*; D010641:Phenotype; D012307:Risk Factors; D015398:Signal Transduction
chemical_list: D001786:Blood Glucose; D008565:Membrane Proteins; D010088:Oxidoreductases; C503310:STEAP4 protein, human
keywords: Genetic association study; Han Chinese; Metabolic syndrome; STAMP2