Meta-Analysis of miR-146a Polymorphisms Association with Coronary Artery Diseases and Ischemic Stroke.
Meta-Analysis of miR-146a Polymorphisms Association with Coronary Artery Diseases and Ischemic Stroke.
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miR-146a 多态性与冠状动脉疾病和缺血性中风关联的荟萃分析。
DOI：
10.3390/ijms160714305
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发表时间：
2015-06-24
影响因子：
5.6
通讯作者：
Li JM
中科院分区：
文献类型：
--
作者：
Bao MH;Xiao Y;Zhang QS;Luo HQ;Luo J;Zhao J;Li GY;Zeng J;Li JM
冠状动脉疾病（CAD）和缺血性脑卒中（IS）是动脉粥样硬化的表现，死亡率高。miR-146a是参与CAD和is进展的microRNA。miR-146a前体rs2910164中的单核苷酸多态性（SNP）被发现与CAD和IS的风险相关。然而，结果是不一致和不确定的。荟萃分析评估rs2910164与CAD以及IS易感性的关系。检索Pubmed、Embase、Cochrane中央对照试验注册库（Central）、中国知网（CNKI）、中国生物医学文献数据库（CBM）等数据库进行相关研究。采用95%置信区间的粗比值比，通过随机效应或固定效应模型来研究关联的强度。荟萃分析共纳入8项研究，共纳入3138例病例和3097例对照。结果表明，rs2910164基因在等位基因模型（OR = 0.86）、纯合子模型（OR = 0.70）、杂合子模型（OR = 0.80）和显性模型（OR = 0.76）中与CAD风险显著相关。携带GG基因型、GG + GC基因型或G等位基因的受试者患冠心病的风险较低。对于IS的易感性，rs2910164与总体研究无显著相关性。然而，在按样本量和种族进行的亚组分析中，在纯合子和显性模型下，发现rs2910164的GG、GG + GC和G等位基因与大样本量组和韩国人中IS的高风险相关。综上所述，本荟萃分析提示，GG、GG + GC基因型和rs2910164的G等位基因与CAD的风险较低，而rs2910164与is的风险无关。因此rs2910164可能被推荐作为CAD易感性的预测因子，而不是IS的预测因子。
Coronary artery disease (CAD) and ischemic stroke (IS) are manifestations of atherosclerosis, with a high death rate. miR-146a is a microRNA that participates in the progress of CAD and IS. A single nucleotide polymorphism (SNP) in the precursor of miR-146a, rs2910164, was found to be associated with the risks of CAD and IS. However, the results were inconsistent and inconclusive. A meta-analysis was performed to assess the relationship of rs2910164 and CAD as well as IS susceptibility. The database Pubmed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), Chinese National Knowledge Infrastructure (CNKI), and Chinese Biomedical Literature Database (CBM) were searched for related studies. Crude odds ratios with 95% confidence intervals were used to investigate the strength of the association by random- or fixed-effect model. A total of eight studies, with 3138 cases and 3097 controls were identified for the meta-analysis. The results shows that rs2910164 is associated with the risk of CAD significantly in allelic model (OR = 0.86), homozygous model (OR = 0.70), heterozygous model (OR = 0.80) and dominant model (OR = 0.76). The subjects carrying the GG genotype, GG + GC genotype or G allele are at lower risks of CAD. For the susceptibility of IS, there are no significant associations between rs2910164 and total studies. However, in subgroup analysis by sample size and ethnicity, the GG, GG + GC and G allele of rs2910164 are found to be associated with higher risks of IS in large sample size group and in Koreans, under homozygous and dominant models. In conclusion, the current meta-analysis suggests lower risks of CAD for GG, GG + GC genotype and G allele of rs2910164, while rs2910164 is not associated with the risk of IS. Thus rs2910164 might be recommended as a predictor for susceptibility of CAD, but not IS.