遗传多态性与COVID-19感染和结果的关联:基于62项研究的更新元分析
Hongyue Ren1, Yanyan Lin1, Lifeng Huang1
1Department of Basic Medicine, Zhangzhou Health Vocational College, Zhangzhou 363000, Fujian Province, China.
Heliyon
|January 8, 2024
概括
遗传变异影响COVID-19的结果. 在ACE,IFITM3,TMPRSS2,ACE2和VDR基因中的特定多态性与2019年冠状病毒病的感染风险,严重程度和死亡率有关.
科学领域:
- 遗传学 遗传学 是一个
- 传染性疾病 传染性疾病
- 流行病学 流行病学
背景情况:
- 遗传多态化与2019年新冠病毒病 (COVID-19) 结果之间的关联仍然不清楚.
- 之前的研究已经产生了不一致的发现,关于遗传变异在COVID-19易感性,严重性和死亡率中的作用.
研究的目的:
- 进行全面的元分析,评估遗传多态化与COVID-19感染,严重程度和死亡率之间的关联.
- 综合已发表研究的证据,以澄清COVID-19中特定遗传变异的作用.
主要方法:
- 在六个主要数据库 (PubMed,Embase,Web of Science,Cochrane Library,CNKI,Wanfang) 进行了系统的文献搜索.
- 在基因型比较中使用概率比率 (OR) 和95%置信区间 (CI) 进行了元分析.
- 使用Stata 12.0.0进行统计分析.
主要成果:
- 包括62项研究,包括19600例病例和28899例对照.
- ACE Ins/Del 多态性与COVID-19感染风险降低有关.
- IFITM3 rs12252和TMPRSS2 rs12329760多态性与感染风险增加有关.
- ACE2 rs2074192,ACE2 rs2106809,IFITM3 rs12252和VDR rs1544410的多态性与严重性风险增加有关.
- TMPRSS2 rs2070788 变异 A 基因组降低了严重性风险.
- IFITM3 rs12252变异C等位基因与死亡风险增加有关.
结论:
- 特定的遗传多态性与COVID-19感染,严重程度和死亡率有显著的关联.
- 这些发现为了解COVID-19的临床特征提供了理论基础.
- 对遗传倾向的进一步研究可以帮助预测和管理COVID-19.
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