山东大学学报 (医学版) ›› 2021, Vol. 59 ›› Issue (7): 104-111.doi: 10.6040/j.issn.1671-7554.0.2021.0241
杨璇,李岩志,马伟,贾崇奇
YANG Xuan, LI Yanzhi, MA Wei, JIA Chongqi
摘要: 目的 采用两样本孟德尔随机化方法探索肺功能与新型冠状病毒肺炎(COVID-19)病死风险之间的因果关联。 方法 对基于全基因关联研究(GWAS)的汇总数据进行二次数据分析。利用大样本GWAS汇总数据,选择与肺功能密切关联的遗传位点作为工具变量,分别用逆方差加权法、MR-Egger回归和加权中位数法做两样本孟德尔随机化分析,以OR值评价肺功能与COVID-19病死风险之间的因果关系。 结果 共纳入287个单核苷酸多态性作为工具变量,MR-Egger回归结果表明基因多效性不会对结果造成偏倚(P=0.107)。逆方差加权法结果显示,肺功能每增加一个标准差,会导致COVID-19患者病死风险降低62%(OR=0.38, 95%CI: 0.18~0.80)。MR-Egger回归也得到了相似的结果(OR=0.08, 95%CI: 0.01~0.61)。加权中位数法结果显示肺功能与COVID-19病死风险之间关联无统计学意义(OR=0.44, 95%CI: 0.14~1.42)。 结论 肺功能与COVID-19病死风险之间可能存在负向因果关联。
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