Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
Department of Population and Quantitative Health Sciences, Case Western Reserve University, Wolstein Research Building Room 1317, 2103 Cornell Rd, Cleveland, OH, 44106, USA.
Sci Rep. 2021 Apr 12;11(1):7848. doi: 10.1038/s41598-021-86757-3.
Many cardiometabolic conditions have demonstrated associative evidence with COVID-19 hospitalization risk. However, the observational designs of the studies in which these associations are observed preclude causal inferences of hospitalization risk. Mendelian Randomization (MR) is an alternative risk estimation method more robust to these limitations that allows for causal inferences. We applied four MR methods (MRMix, IMRP, IVW, MREgger) to publicly available GWAS summary statistics from European (COVID-19 GWAS n = 2956) and multi-ethnic populations (COVID-19 GWAS n = 10,908) to better understand extant causal associations between Type II Diabetes (GWAS n = 659,316), BMI (n = 681,275), diastolic and systolic blood pressure, and pulse pressure (n = 757,601 for each) and COVID-19 hospitalization risk across populations. Although no significant causal effect evidence was observed, our data suggested a trend of increasing hospitalization risk for Type II diabetes (IMRP OR, 95% CI 1.67, 0.96-2.92) and pulse pressure (OR, 95% CI 1.27, 0.97-1.66) in the multi-ethnic sample. Type II diabetes and Pulse pressure demonstrates a potential causal association with COVID-19 hospitalization risk, the proper treatment of which may work to reduce the risk of a severe COVID-19 illness requiring hospitalization. However, GWAS of COVID-19 with large sample size is warranted to confirm the causality.
许多心脏代谢疾病与 COVID-19 住院风险之间存在关联证据。然而，观察这些关联的研究的设计排除了住院风险的因果推断。孟德尔随机化 (MR) 是一种替代风险估计方法，它更能克服这些限制，从而可以进行因果推断。我们应用了四种 MR 方法（MRMix、IMRP、IVW、MREgger），对来自欧洲（COVID-19 GWAS n=2956）和多民族人群（COVID-19 GWAS n=10908）的公开 GWAS 汇总统计数据进行了分析，以更好地了解 II 型糖尿病（GWAS n=659316）、BMI（n=681275）、舒张压和收缩压以及脉搏压（分别为 n=757601）与人群中 COVID-19 住院风险之间现有的因果关联。尽管没有观察到显著的因果效应证据，但我们的数据表明，在多民族样本中，II 型糖尿病（IMRP OR，95%CI 1.67，0.96-2.92）和脉搏压（OR，95%CI 1.27，0.97-1.66）的住院风险呈上升趋势。II 型糖尿病和脉搏压与 COVID-19 住院风险之间存在潜在的因果关联，适当的治疗可能有助于降低需要住院治疗的严重 COVID-19 疾病的风险。然而，需要进行具有大样本量的 COVID-19 GWAS 来确认因果关系。
