Association between miR-146a (rs2910164) gene polymorphism and susceptibility to ischemic stroke in Chinese population: a meta-analysis
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摘要:
目的 探讨中国人群miR-146aC>G（rs2910164）位点单核苷酸多态性与缺血性脑卒中遗传易感性。 方法 检索2015年12月前中国生物医学文献数据库（CBM）、中国期刊全文数据库（CNKI）、维普中文科技期刊数据库（VIP）、万方数据库及PubMed、Ovid、Cochrane Library、EMBASE等数据库，搜集有关中国人群miR-146aC>G（rs2910164）位点多态性与缺血性脑卒中（IS）研究，采用NOS工具评价纳入相关性研究的质量，提取科学合理有效数据，采用Review Manager 5.0软件进行Meta分析。 结果 共纳入6篇文献，共有IS患者1945例，健康对照者2456例，Meta分析尚未发现miR146a rs2910164 G/C基因多态性与缺血性脑卒中易感性具有相关性：基因型G vs C：OR=0.97，95%CI（0.89~1.06），P=0.06；基因型GG vs CC：OR=0.99，95%CI（0.82~1.18），P=0.88；基因型GC vs CC：OR=1.02，95%CI（0.90~1.17），P=0.75；基因型GG+GC vs CC：OR=1.01，95%CI（0.90~1.15），P=0.82。 结论 本研究尚未发现中国人群miR-146aC>G（rs2910164）位点多态性与缺血性脑卒中易感性之间具有相关性。 Abstract:Objective To investigate the association between miR-146a gene polymorphism and Ischemic stroke (IS) in Chinese population. Methods Publications in PubMed, Ovid, Cochrane Library EMBASE, CNKI, VIP and Wangfang Datebase were retrieved up to December 2015. Studies of investigating association between miR-146aC>G (rs2910164) and IS in Chinese population were included. Quality of inclubed studies were evaluated by a Newcastle-Ottawa Scale (NOS) tool.The valied data were extracted and analyzed by Review Manager5.0 software. Results Six studies involving 1945 patients of IS and 2456 controls were included. No association between miR-146a rs2910164 polymorphism and the risk of IS was observed [G vs C: OR=0.97, 95%CI: (0.89-1.06), P=0.06]; [GG vs CC: OR=0.99, 95%CI: (0.82-1.18), P=0.88]; [ GC vs CC: OR=1.02, 95%CI (0.90-1.17), P=0.75]; [GG+GC vs CC: OR=1.01, 95%CI (0.90-1.15), P=0.82]. Conclusion The Meta-analysis suggested that the rs2910164 polymorphism in miR-146a is not associated with IS in Chinese population. -
Key words:
- ischemic stroke /
- miR-146a /
- gene polymorphism /
- Meta-analysis /
- Chinese
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表 1 入选文献基本情况及miR-146aC>G（rs2910164）基因型分布及等位基因频率
纳入文献 地区 组别 N （rs2910164）基因型及等位基因频率 HWE CC GC GG C G 孙吉等[5]2011 长沙 对照组 650 228 304 118 0.58 0.42 0.345 病例组 381 146 170 65 0.61 0.39 0.202 李友等[6]2014 广东 对照组 298 111 136 51 0.60 0.40 0.401 病例组 173 73 85 15 0.67 0.33 0.159 朱瑞霞等[7]2014 中国北方 对照组 381 132 185 64 0.59 0.41 0.952 病例组 368 145 173 50 0.63 0.37 0.888 胡亚梅等[8]2014 河南郑州 对照组 205 97 82 26 0.67 0.33 0.193 病例组 196 75 87 34 0.60 0.40 0.316 Huang等[9]2015 中国深圳 对照组 531 219 257 55 0.65 0.35 0.106 病例组 531 189 261 81 0.60 0.40 0.557 Liu等[10]2014 中国四川 对照组 391 116 198 77 0.55 0.45 0.650 病例组 296 85 159 52 0.56 0.44 0.131 
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表 2 入选资料研究方法学质量评价（分）
纳入研究 入选人群选择 组间可比性 暴露因素测量 合计 （1） （2） （3） （4） （5） （6） （7） （8） 孙吉等[5]2011 1 1 1 1 1 1 1 1 8 李友等[6]2014 1 0 1 1 2 1 1 1 8 朱瑞霞等[7]2014 1 1 0 1 1 1 1 1 7 胡亚梅等[8]2014 1 0 1 1 2 1 1 1 8 Huang等[9]2015 1 1 1 1 2 1 1 1 9 Liu等[10]2014 1 1 1 1 2 1 1 1 9 (1): 病例确定是否恰当(1分); (2): 病例的代表性(1分); (3): 对照组的选择(1分); (4): 对照组的确定(1分); (5): 实验设计和数据统计分析时考虑病例组和对照组的可比性(2分); (6): 暴露因素的确定(1分); (7): 病例组和对照组暴露因素的确定方法相同(1分); (8): 无应答率(1分).
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