在俄罗斯人口中,多基因风险得分和COVID-19严重程度之间的病例控制关联研究使用低通基因组测序
Arina Nostaeva1,2, Valentin Shimansky1,2, Svetlana Apalko1,2
1City Hospital No. 40 of Kurortny District, St. Petersburg State Budgetary Healthcare Institution, Sestroretsk, Russia.
遗传学会影响COVID-19的严重程度. 多基因风险评分有效地识别出患重病和死亡风险较高的个体,为风险分层提供了有价值的工具.
科学领域:
- 遗传学和基因组学 在
- 传染病流行病学 传染病流行病学
背景情况:
- COVID-19的过程有很大的变化,遗传因素起着关键作用.
- 之前的遗传研究发现了与易感性和严重性相关的单核酸多态 (SNP),但个体效应适度.
- 由于COVID-19的多基因性质,需要超越单个SNP的先进预测模型.
研究的目的:
- 评估全基因组多基因风险评分 (PRS) 模型对预测俄罗斯人口中COVID-19严重程度的有效性.
- 评估PRS和严重的COVID-19结果之间的关联,包括死亡率.
主要方法:
- 开发了一个PRS模型,使用来自COVID-19宿主遗传学倡议的100多万个常见SNP.
- 对大约1000名参与者进行了低覆盖度测序,以计算PRS值.
- 利用多变量后勤回归来分析PRS和COVID-19结果之间的关联.
主要成果:
- 在前10%的PRS中,患者患重症COVID-19的风险增加了2.9倍.
- 在前10%的PRS群体中,COVID-19死亡风险超过4.3倍.
- PRS模型对严重的COVID-19和死亡率表现出显著的预测能力.
结论:
- 多基因风险评分是识别遗传倾向于严重COVID-19的个体的一个有希望的工具.
- PRS可以帮助进行个性化风险评估,并可能指导临床管理策略.
- 为了扩大PRS在传染病中的应用,需要在不同人群中进行进一步的验证.
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