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Association between phosphodiesterase 4D polymorphism SNP83 and ischemic stroke.
MedLine Citation:
PMID:  24365247     Owner:  NLM     Status:  Publisher    
Iceland scientists identified the relationship between the PDE4D gene and ischemic stroke (IS) in 2003. Since then, many researches have emerged to estimate this association, but the results are contradictory. In order to confirm this association, we conduct this meta-analysis with a larger sample size. PubMed, Embase and four Chinese databases were searched to identify the relevant studies through January 2013. The odds ratio (OR) with 95% confidence interval (CI) was used to calculate the association between the SNP83 polymorphism and IS risk. Twenty-five publications comprised of 8878 cases and 12306 controls were included in this meta-analysis. There was a significant association between SNP83 and IS risk, especially in Asian and Chinese populations, but not in Caucasians (dominant model: OR=0.87, 95% CI=0.69-1.11; recessive model: OR=0.95, 95% CI=0.84-1.07; allele model: OR=0.95, 95% CI=0.84-1.08; co-dominant model 1: OR=0.96, 95% CI=0.85-1.08; co-dominant model 2: OR=0.95, 95% CI=0.83-1.09). The cumulative meta-analysis among the overall population and Chinese population indicated a stable trend of association between SNP83 and IS from 2009 to 2012. In conclusion, we found an association between SNP83 and IS in the overall population and in the Asian and Chinese populations, but not among Caucasians.
Yan Yan; Xiuping Luo; Jinlu Zhang; Li Su; Wenjie Liang; Guifeng Huang; Guangliang Wu; Guihua Huang; Lian Gu
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-12-12
Journal Detail:
Title:  Journal of the neurological sciences     Volume:  -     ISSN:  1878-5883     ISO Abbreviation:  J. Neurol. Sci.     Publication Date:  2013 Dec 
Date Detail:
Created Date:  2013-12-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0375403     Medline TA:  J Neurol Sci     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2013 Elsevier B.V. All rights reserved.
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