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Screening the Single Nucleotide Polymorphisms in Patients with Internal Carotid Artery Stenosis by Oligonucleotide-Based Custom DNA Array

Authors :
Kenji Nakai
Mayu Oyanagi
Jiro Hitomi
Kuniaki Ogasawara
Takashi Inoue
Masakazu Kobayashi
Keiko Nakai
Akira Suwabe
Wataru Habano
Toshiaki Baba
Hiroshi Yoshida
Akira Ogawa
Source :
Bioinformatics and Biology Insights, Vol 1, Pp 63-69 (2007)
Publication Year :
2007
Publisher :
SAGE Publishing, 2007.

Abstract

Early screening of individuals considered to be at risk for severe internal carotid artery (ICA) stenosis is an important strategy for preventing ischemic cerebral stroke. The purpose of this study is to screening candidate single nucleotide polymorphisms (SNPs) associated with severe ICA stenosis using a newly developed oligonucleotide-based custom DNA array. The subjects consisted of 47 controls and 46 patients with severe ICA stenosis (70%) who underwent carotid endarterectomy (CEA). Subjects gave informed consent and we obtained samples of blood and genomic DNA. We studied 8 candidate genes: renin-angiotensin system [angiotensinogen (AGT), angiotensin II receptor type 1 (AGTR1), nitric oxide synthase 3 (NOS3)]; growth factor [hepatocyte growth factor (HGF)]; transgelin (SM22); cytokine [chemokine receptor 2 (CCR2)]; coagulation-fibrinolysis system [5,10-methylenetetrahydrofolate reductase (MTHFR)]; and plasminogen activator inhibitor 1 (PAI-1). Genotyping of candidate SNPs was done with a line probe assay (LiPA) based on an oligonucleotide-based DNA array. Results: The allele frequency of PAI-1 –1965 delG (odds ratio (OR), 0.3; 95% confidence interval (CI), 0.2–0.6) and MTHFR (OR 1.3, 95% CI, 1.0–1.5) were significantly different between controls and cases with ICA stenosis by Fisher’s exact test. Multiple logistic analysis revealed that diabetes mellitus (DM), SNPs in PAI-1 –1965 delG and MTHFR were an independent risk for ICA stenosis. In conclusion, genetic factors of coagulation-fibrinolysis as well as diabetes mellitus (DM) were relevant in ICA stenosis.

Details

Language :
English
ISSN :
11779322
Volume :
1
Database :
Directory of Open Access Journals
Journal :
Bioinformatics and Biology Insights
Publication Type :
Academic Journal
Accession number :
edsdoj.992b5ed0fb19430a8fa0eba68aafef59
Document Type :
article