Wang Hui, Wu Sensen, Pan Dikang, Meng Wenzhuo, Hu Lefan, Zhang Hanyu, Ning Yachan, Guo Jianming, Gu Yongquan
Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Phlebology. 2025 Feb;40(1):3-10. doi: 10.1177/02683555241266659. Epub 2024 Jul 21.
Observational studies show the correlation between COVID-19 and venous thromboembolism (VTE) risk. However, the causal effects remain uncertain. We aimed to explore the potential causal association between COVID-19 and VTE using Mendelian randomization (MR) design. Two-sample MR was used to evaluate the potential causality between COVID-19 and VTE by selecting single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) from genome-wide association studies (GWAS). The weighted median, MR-Egger, simple mode, and weighted mode were employed as supplementary methods for MR estimations, with the inverse-variance weighted (IVW) method serving as the principal analysis. In addition, we took sensitivity analyses, including Cochran's test, MR-Pleiotropy Residual Sum and Outlier (MR-PRESSO), and leave-one-out analysis to ensure that we obtained stable and reliable results. Our study selected 26 COVID-19 severity, 31 COVID-19 hospitalization, and 13 COVID-19 susceptibility SNPs as instrumental variables. The IVW analysis results revealed that there was no causal relationship between COVID-19 severity, hospitalization, or susceptibility and VTE, with odds ratios of 0.974 (95%CI: 0.936-1.013, = 0.19), 0.976 (95%CI: 0.918-1.039, = 0.447), and 0.908 (95%CI: 0.775-1.065, = 0.235), respectively. The IVW approach yielded consistent results with MR-Egger, Weighted Median simple mode, and weighted mode. MR-PRESSO and sensitivity analysis further confirmed the stability and consistency of the MR results. This study did not find evidence to support a causal relationship between COVID-19 and VTE at the genetic level. Further investigation is warranted to determine if the significant association reported in previous observational studies between the two is due to confounding factors.
观察性研究显示了新型冠状病毒肺炎(COVID-19)与静脉血栓栓塞症(VTE)风险之间的相关性。然而,因果关系仍不确定。我们旨在使用孟德尔随机化(MR)设计探索COVID-19与VTE之间的潜在因果关联。通过从全基因组关联研究(GWAS)中选择单核苷酸多态性(SNP)作为工具变量(IV),采用两样本MR来评估COVID-19与VTE之间的潜在因果关系。加权中位数、MR-Egger、简单模式和加权模式被用作MR估计的补充方法,逆方差加权(IVW)方法作为主要分析方法。此外,我们进行了敏感性分析,包括 Cochr an检验、MR-多效性残差和离群值(MR-PRESSO)以及留一法分析,以确保我们获得稳定可靠的结果。我们的研究选择了26个COVID-19严重程度、31个COVID-19住院和13个COVID-19易感性SNP作为工具变量。IVW分析结果显示,COVID-19严重程度、住院或易感性与VTE之间不存在因果关系,比值比分别为0.974(95%CI:0.936-1.013,P = 0.19)、0.976(95%CI:0.918-1.039,P = 0.447)和0.908(95%CI:0.775-1.065,P = 0.235)。IVW方法与MR-Egger、加权中位数简单模式和加权模式得出了一致的结果。MR-PRESSO和敏感性分析进一步证实了MR结果的稳定性和一致性。本研究未发现证据支持COVID-19与VTE在基因水平上存在因果关系。有必要进行进一步调查,以确定先前观察性研究中报道的两者之间的显著关联是否归因于混杂因素。