title: [Analysis of association of genetic polymorphisms of microRNAs with ischemic stroke].
abstract: OBJECTIVE
  To assess the association of single nucleotide polymorphisms of hsa-miR-196a2, hsa-miR-149, hsa-miR-146a, hsa-miR-499 with susceptibility to ischemic stroke.
  
  
  METHODS
  Taqman-PCR and DNA sequencing assays were employed to determine the genotypes of the 4 loci among 510 patients and 523 controls. And their association with the disease was assessed.
  
  
  RESULTS
  Analysis showed that smoking, diabetes, hypertension, BMI index and abnormal serum lipid metabolism were significantly associated with ischemic stroke, and that rs2910164 was significantly associated with the disease in codominant (CG vs. CC: P=0.002, OR=1.878, 95%CI=1.269-2.789), dominant (P=0.012, OR=1.325, 95%CI=1.110-1.580), recessive (P=0.008, OR=1.630, 95%CI=1.130-2.342) and allele (P=0.002, OR=1.449, 95%CI=1.210-1.731) genetic models. Stratified analysis further showed that the significant association only existed in population with smoking and hypertension. By contrast, no association was found between hsa-miR-196a2 rs11614913, hsa-miR-149 rs2292832 and hsa-miR-499 rs3746444 with the disease.
  
  
  CONCLUSIONS
  Our study indicated that smoking, diabetes, hypertension, fat and hyperlipidemia are risk factors for ischemic stroke. Hsa-miR-146a rs2910164 is significantly associated with the disease in those with smoking and hypertension in Dongyang region and may be involved in the process of the disease. The G allele G, GG and CG+GG genotypes of the locus may underlie the susceptibility to the disease in Dongyang region.
authors.affiliation: Department of Emergency Medicine, People's Hospital of Dongyang City, Dongyang, Zhejiang 322103, China.zhuhaogangdy@163.com.
authors.forename: Haogang
authors.initials: H
authors.lastname: Zhu
authors.forename: Hongjin
authors.initials: H
authors.lastname: Zhang
authors.forename: Ligang
authors.initials: L
authors.lastname: Bao
authors.forename: Meifen
authors.initials: M
authors.lastname: Dai
mesh_terms: D000368:Aged; D000483:Alleles; D016022:Case-Control Studies; D002681:China; D005260:Female; D020022:Genetic Predisposition to Disease; D005838:Genotype; D006801:Humans; D008297:Male; D035683:MicroRNAs / Q000235:genetics*; D008875:Middle Aged; D020641:Polymorphism, Single Nucleotide; D020521:Stroke / Q000235:genetics*
chemical_list: C542542:MIRN146 microRNA, human; C551557:MIRN149 microRNA, human; C548683:MIRN499 microRNA, human; D035683:MicroRNAs