Yoshikawa Masahiro, Asaba Kensuke
Division of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, Tokyo, Japan.
Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, Tokyo, Japan.
Front Public Health. 2021 Jun 3;9:673451. doi: 10.3389/fpubh.2021.673451. eCollection 2021.
Observational studies have reported that the severity of COVID-19 depends not only on physical conditions but also on socioeconomic status, including educational level. Because educational attainment (EA), which measures the number of years of schooling, is moderately heritable, we investigated the causal association of EA on the risk of COVID-19 severity using the Mendelian randomization (MR) approach. A two-sample MR analysis was performed using publicly available summary-level data sets of genome-wide association studies (GWASs). A total of 235 single-nucleotide polymorphisms (SNPs) were extracted as instrumental variables for the exposure of EA from the Social Science Genetic Association Consortium GWAS summary data of 766,345 participants of European ancestry. The effect of each SNP on the outcome of COVID-19 severity risk was obtained from the GWAS summary data of 1,059,456 participants of European ancestry gathered from the COVID-19 Host Genetics Initiative. Using inverse variance weighted method, our MR study shows that EA was significantly associated with a lower risk of COVID-19 severity (odds ratio per one standard deviation increase in years of schooling, 0.540; 95% confidence interval, 0.376-0.777, = 0.0009). A series of sensitivity analyses showed little evidence of bias. In conclusion, we show for the first time using a two-sample MR approach the associations between higher EA and the lower risk of COVID-19 severity in the European population. However, the genetic or epidemiological mechanisms underlying the association between EA and the risk of COVID-19 severity remain unknown, and further studies are warranted to validate the MR findings and investigate underlying mechanisms.
观察性研究报告称,新冠病毒病(COVID-19)的严重程度不仅取决于身体状况,还取决于社会经济地位,包括教育水平。由于衡量受教育年限的教育程度(EA)具有中度遗传性,我们使用孟德尔随机化(MR)方法研究了EA与COVID-19严重程度风险之间的因果关系。使用公开可用的全基因组关联研究(GWAS)汇总数据集进行了两样本MR分析。从社会科学遗传关联联盟GWAS汇总数据中提取了总共235个单核苷酸多态性(SNP)作为EA暴露的工具变量,该汇总数据来自766345名欧洲血统参与者。每个SNP对COVID-19严重程度风险结果的影响是从COVID-19宿主遗传学倡议收集的1059456名欧洲血统参与者的GWAS汇总数据中获得的。使用逆方差加权法,我们的MR研究表明,EA与较低的COVID-19严重程度风险显著相关(每增加一年受教育年限的优势比为0.540;95%置信区间为0.376 - 0.777,P = 0.0009)。一系列敏感性分析显示几乎没有偏差证据。总之,我们首次使用两样本MR方法表明,在欧洲人群中,较高的EA与较低的COVID-19严重程度风险之间存在关联。然而,EA与COVID-19严重程度风险之间关联的遗传或流行病学机制仍然未知,需要进一步研究来验证MR研究结果并调查潜在机制。