کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8277770 | 1535124 | 2014 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Association between phosphodiesterase 4D polymorphism SNP83 and ischemic stroke
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
سالمندی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
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 12Â 306 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: ORÂ =Â 0.87, 95% CIÂ =Â 0.69-1.11; recessive model: ORÂ =Â 0.95, 95% CIÂ =Â 0.84-1.07; allele model: ORÂ =Â 0.95, 95% CIÂ =Â 0.84-1.08; co-dominant model 1: ORÂ =Â 0.96, 95% CIÂ =Â 0.85-1.08; co-dominant model 2: ORÂ =Â 0.95, 95% CIÂ =Â 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the Neurological Sciences - Volume 338, Issues 1â2, 15 March 2014, Pages 3-11
Journal: Journal of the Neurological Sciences - Volume 338, Issues 1â2, 15 March 2014, Pages 3-11
نویسندگان
Yan Yan, Xiuping Luo, Jinlu Zhang, Li Su, Wenjie Liang, Guifeng Huang, Guangliang Wu, Guihua Huang, Lian Gu,