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中国防痨杂志 ›› 2025, Vol. 47 ›› Issue (5): 653-659.doi: 10.19982/j.issn.1000-6621.20240474

• 论著 • 上一篇    下一篇

欧洲人种新型冠状病毒感染与结核病发病风险因果关系:一项双样本孟德尔随机化研究

王雷, 陈迟到, 宿连政, 李凌玮, 王欣淼, 王鹏, 黄忠浩()   

  1. 齐鲁医药学院医学影像学院医学影像技术教研室,淄博 255000
  • 收稿日期:2024-10-28 出版日期:2025-05-10 发布日期:2025-04-29
  • 通信作者: 黄忠浩 E-mail:122659778@qq.com
  • 基金资助:
    山东省艺术科学协会重点课题(L2024Q05100079);山东省教育发展促进会2024年度教育规划课题(JCHKT2024209)

Causality between coronavirus disease 2019 and tuberculosis in Europeans: a two-sample Mendelian randomization study

Wang Lei, Chen Chidao, Su Lianzheng, Li Lingwei, Wang Xinmiao, Wang Peng, Huang Zhonghao()   

  1. Department of Medical Imaging Technology, College of Medical Imaging, Qilu Medical University, Shandong Province, Zibo 255000, China
  • Received:2024-10-28 Online:2025-05-10 Published:2025-04-29
  • Contact: Huang Zhonghao E-mail:122659778@qq.com
  • Supported by:
    Major Project of Shandong Provincial Association for Science of Art and Culture(L2024Q05100079);2024 Education Planning Project of Education Advancement Shandong(JCHKT2024209)

摘要:

目的: 利用孟德尔随机化分析方法探寻新型冠状病毒感染(coronavirus disease 2019, COVID-19)与结核病之间的因果关系。方法: 从IEU Open GWAS数据库(https://gwas.mrcieu.ac.uk/)获取COVID-19 GWAS汇总数据,从UKB数据库(https://www.ukbiobank.ac.uk/)获取结核病GWAS数据。使用5种孟德尔随机化分析方法,逆方差加权法(IVW)为主要方法,加权中位数法、MR-Egger回归、简单众数法、加权众数法作为补充(COVID-19样本:626151例,病例组:3886例,对照组:622265例;结核病样本:462933例,病例组:2277例,对照组:460656例),采用Cochran Q检验、MR-Egger截距、留一法检测多效性和敏感度,最后再做反向孟德尔随机化分析。结果: 从GWAS数据库中筛选出14个与COVID-19显著相关的独立的单核苷酸多态性(single nucleotide polymorphism, SNP)作为工具变量,SNP位点编号分别为rs1064213、rs10875713、rs113488799、rs11634857、rs13050728、rs1566837、rs2269899、rs2277732、rs2597569、rs2781267、rs28815269、rs4782434、rs622568、rs787642。逆方差加权分析显示,COVID-19与结核病发病风险没有相关性(ORIVW=1.001,95%CI:0.995~1.002,P=0.527)。MR-Egger回归显示,水平多效性影响结果的可能性小(截距=0.0002435,P=0.101),逆方差加权和MR-Egger回归没有发现异质性(Q=13.205,P=0.432;Q=10.040,P=0.612)。“留一法”分析显示,孟德尔随机化整体估计结果较为可靠,未出现显著偏差,漏斗图未显示不对称。反向孟德尔随机化分析表明,结核病与COVID-19发病风险无因果关系[P(IVW)=0.805]。结论: 基于欧洲人群遗传数据的双向孟德尔随机化分析表明,欧洲人群COVID-19与结核病之间可能没有双向因果关系。

关键词: 冠状病毒感染, 结核, 孟德尔随机化, 因果律

Abstract:

Objective: To investigate the causality between coronavirus disease 2019 (COVID-19) and tuberculosis (TB) using Mendelian randomization analysis. Methods: Summary data on COVID-19 was extracted from the Integrative Epidemiology Unit (IEU) Open Genome-Wide Association Studies (GWAS) pool (https://gwas.mrcieu.ac.uk/). GWAS data on TB was also retrieved from the UK Biobank database (https://www.ukbiobank.ac.uk/). The relationship between COVID-19 and TB was examined using five methods, the major method being inverse variance weighting (IVW), while additional methods included weighted median, MR-Egger regression, simple mode and weighted mode (626151 cases of COVID-19, including 3886 cases and 622265 controls; 462933 cases of TB, including 2277 cases and 460656 controls). Cochran’s Q statistic, MR-Egger regression analysis, and the “leave-one-out-method” analysis were used to evaluate heterogeneity and sensitivity, and finally inverse Mendelian randomization was done. Results: Fourteen independent single nucleotide polymorphisms (SNPs) associated with COVID-19 were selected as instrumental variables from GWAS (SNP IDs: rs1064213, rs10875713, rs113488799, rs11634857, rs13050728, rs1566837, rs2269899, rs2277732, rs2597569, rs2781267, rs28815269, rs4782434, rs622568, and rs787642). IVW showed no significant correlation between COVID-19 and TB (IVW odds ratio=1.001, 95% confidence interval=0.995-1.002, P=0.527). MR-Egger regression showed that horizontal pleiotropy was unlikely to influence the results (intercept=0.0002435, P=0.101), neither IVW nor MR-Egger regression revealed heterogeneity (Q=13.205, P=0.432; Q=10.040, P=0.612). The “leave-one-out-method” analysis revealed that Mendelian randomization overall estimates were reliable, with no significant bias, and the funnel plot did not exhibit asymmetry. Reverse MR analysis also confirmed the absence of a causality between COVID-19 and TB risk (P (IVW)=0.805). Conclusion: Bidirectional MR analysis based on genetic data of European population revealed no significant bidirectional relationship between COVID-19 and TB in this population.

Key words: Coronavirus infections, Tuberculosis, Mendelian randomization, Causality

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