A Meta-Analysis of the Association between Microrna-196A2 and Risk of Ischemic Stroke and Coronary Artery Disease in Asian Population
| Autor: | Luping Yang, Qian Li, Qian Zhang, Jiali Yin, Wanyang Liu, Mengwei Liu, Shan Liu, Yue Wang, Kaili Zhang, Michael Mambiya |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Oncology Heterozygote medicine.medical_specialty Asia Single-nucleotide polymorphism Subgroup analysis Coronary Artery Disease Polymorphism Single Nucleotide Risk Assessment Brain Ischemia Coronary artery disease 03 medical and health sciences Asian People Risk Factors Internal medicine Genetic model Odds Ratio Humans Medicine Genetic Predisposition to Disease Genetic Association Studies Chi-Square Distribution business.industry Homozygote Rehabilitation Publication bias Odds ratio medicine.disease Confidence interval Stroke MicroRNAs Phenotype 030104 developmental biology Meta-analysis Linear Models Surgery Neurology (clinical) Cardiology and Cardiovascular Medicine business |
| Zdroj: | Journal of Stroke and Cerebrovascular Diseases. 27:3008-3019 |
| ISSN: | 1052-3057 |
| DOI: | 10.1016/j.jstrokecerebrovasdis.2018.06.035 |
| Popis: | Single nucleotide polymorphisms (SNPs) of small non-coding RNAs (sncRNAs) that affect the sncRNA function and target gene expression to mediate the risk of certain diseases. The association between the miR-196a2 rs11614913 and ischemic stroke (IS) and coronary artery disease (CAD) is still conflicting and inconclusive. This meta-analysis aimed at analysing studies which have been done so far to get a more precise assessment of the association between the mutation and these two diseases.Electronic databases dated up to April 2018 were searched, retrieved and used. Revman 5.2 software and STATA version 12.0 were used for statistical analysis. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to identify any potential associations. Heterogeneity, publication bias and sensitivity analysis were conducted to measure the robustness of our findings.The overall meta-analysis results showed that miR-196a2 rs11614913 TC polymorphism was significantly associated with CAD risk in certain genetic models, as well as in subgroup analysis (CC versus TT, OR = .43, 95%CI = .39-.47, P.00001). However, no significant association was detected between the miR-196a2 rs11614913 TC and IS risk in all genetic models.Our study suggests that miR-196a2 rs11614913 TC may contribute to CAD susceptibility but further well-designed studies with larger sample size and comprehensive data are needed to confirm our findings and provide a profound conclusion. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect