Leong Aaron, Cole Joanne, Brenner Laura N, Meigs James B, Florez Jose C, Mercader Josep M
medRxiv. 2020 Sep 1:2020.08.26.20182709. doi: 10.1101/2020.08.26.20182709.
Early epidemiological studies report associations of diverse cardiometabolic conditions especially body mass index (BMI), with COVID-19 susceptibility and severity, but causality has not been established. Identifying causal risk factors is critical to inform preventive strategies aimed at modifying disease risk.
We sought to evaluate the causal associations of cardiometabolic conditions with COVID-19 susceptibility and severity.
Two-sample Mendelian Randomization (MR) Study.
Population-based cohorts that contributed to the genome-wide association study (GWAS) meta-analysis by the COVID-19 Host Genetics Initiative.
Patients hospitalized with COVID-19 diagnosed by RNA PCR, serologic testing, or clinician diagnosis. Population controls defined as anyone who was not a case in the cohorts. Exposures: Selected genetic variants associated with 17 cardiometabolic diseases, including diabetes, coronary artery disease, stroke, chronic kidney disease, and BMI, at p<5 x 10-8 from published largescale GWAS.
We performed an inverse-variance weighted averages of variant-specific causal estimates for susceptibility, defined as people who tested positive for COVID-19 vs. population controls, and severity, defined as patients hospitalized with COVID-19 vs. population controls, and repeated the analysis for BMI using effect estimates from UKBB. To estimate direct and indirect causal effects of BMI through obesity-related cardiometabolic diseases, we performed pairwise multivariable MR. We used p<0.05/17 exposure/2 outcomes=0.0015 to declare statistical significance.
Genetically increased BMI was causally associated with testing positive for COVID-19 [6,696 cases / 1,073,072 controls; p=6.7 x 10-4, odds ratio and 95% confidence interval 1.08 (1.03, 1.13) per kg/m2] and a higher risk of COVID-19 hospitalization [3,199 cases/897,488 controls; p=8.7 x 10-4, 1.12 (1.04, 1.21) per kg/m2]. In the multivariable MR, the direct effect of BMI was abolished upon conditioning on the effect on type 2 diabetes but persisted when conditioning on the effects on coronary artery disease, stroke, chronic kidney disease, and c-reactive protein. No other cardiometabolic exposures tested were associated with a higher risk of poorer COVID-19 outcomes.
Genetic evidence supports BMI as a causal risk factor for COVID-19 susceptibility and severity. This relationship may be mediated via type 2 diabetes. Obesity may have amplified the disease burden of the COVID-19 pandemic either single-handedly or through its metabolic consequences.
早期流行病学研究报告了多种心脏代谢疾病尤其是体重指数(BMI)与新冠病毒病(COVID-19)易感性及严重程度之间的关联,但因果关系尚未确立。确定因果风险因素对于制定旨在改变疾病风险的预防策略至关重要。
我们试图评估心脏代谢疾病与COVID-19易感性及严重程度之间的因果关联。
两样本孟德尔随机化(MR)研究。
参与了由COVID-19宿主遗传学倡议开展的全基因组关联研究(GWAS)荟萃分析的基于人群的队列。
通过RNA聚合酶链反应(PCR)、血清学检测或临床医生诊断确诊为COVID-19的住院患者。人群对照定义为队列中不属于病例的任何人。暴露因素:从已发表的大规模GWAS中选取与17种心脏代谢疾病相关的基因变异,包括糖尿病、冠状动脉疾病、中风、慢性肾脏病和BMI,p值<5×10⁻⁸。
我们对易感性(定义为COVID-19检测呈阳性者与人群对照)和严重程度(定义为COVID-19住院患者与人群对照)的变异特异性因果估计值进行了逆方差加权平均,并使用英国生物银行(UKBB)的效应估计值对BMI重复进行了分析。为了估计BMI通过肥胖相关心脏代谢疾病产生的直接和间接因果效应,我们进行了成对多变量MR。我们使用p<0.05/17种暴露因素/2种结局=0.0015来判定具有统计学意义。
遗传因素导致的BMI升高与COVID-19检测呈阳性存在因果关联[6696例病例/1073072例对照;p=6.7×10⁻⁴,每kg/m²的优势比及95%置信区间为1.08(1.03,1.13)],且与COVID-19住院风险较高相关[3199例病例/897488例对照;p=8.7×10⁻⁴,每kg/m²为1.12(1.04,1.21)]。在多变量MR中,对2型糖尿病的效应进行校正后,BMI的直接效应消失,但对冠状动脉疾病、中风、慢性肾脏病和C反应蛋白的效应进行校正后,该效应仍然存在。所检测的其他心脏代谢暴露因素均与COVID-19预后较差的风险较高无关。
遗传证据支持BMI是COVID-19易感性及严重程度的因果风险因素。这种关系可能通过2型糖尿病介导。肥胖可能单独或通过其代谢后果加剧了COVID-19大流行的疾病负担。