Rosoff Daniel B, Yoo Joyce, Lohoff Falk W
Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
NIH-Oxford-Cambridge Scholars Program; Nuffield Department of Population Health, University of Oxford, UK.
medRxiv. 2021 Feb 12:2021.02.11.21251581. doi: 10.1101/2021.02.11.21251581.
Observational studies suggest smoking, cannabis use, alcohol consumption, cannabis use, and substance use disorders (SUDs) may play a role in the susceptibility for respiratory infections and disease, including coronavirus 2019 (COVID-2019). However, causal inference is challenging due to comorbid substance use.
Using genome-wide association study data of European ancestry (data from >1.7 million individuals), we performed single-variable and multivariable Mendelian randomization to evaluate relationships between smoking, cannabis use, alcohol consumption, SUDs, and respiratory infections.
Genetically predicted lifetime smoking was found to be associated with increased risk for hospitalized COVID-19 (odds ratio (OR)=4.039, 95% CI 2.335-6.985, -value=5.93×10) and very severe hospitalized COVID-19 (OR=3.091, 95% CI, 1.883-5.092, -value=8.40×10). Genetically predicted lifetime smoking was also associated with increased risk pneumoniae (OR=1.589, 95% CI, 1.214-2.078, -value=7.33×10), lower respiratory infections (OR=2.303, 95% CI, 1.713-3.097, -value=3.40×10), and several others. Genetically predicted cannabis use disorder (CUD) was associated with increased bronchitis risk (OR=1.078, 95% CI, 1.020-1.128, -value=0.007).
We provide strong genetic evidence showing smoking increases the risk for respiratory infections and diseases even after accounting for other substance use and abuse. Additionally, we provide find CUD may increase the risk for bronchitis, which taken together, may guide future research SUDs and respiratory outcomes.
观察性研究表明,吸烟、使用大麻、饮酒以及物质使用障碍(SUDs)可能在包括2019冠状病毒病(COVID - 2019)在内的呼吸道感染和疾病易感性中起作用。然而,由于存在合并物质使用情况,因果推断具有挑战性。
利用欧洲血统的全基因组关联研究数据(来自超过170万人的数据),我们进行了单变量和多变量孟德尔随机化,以评估吸烟、使用大麻、饮酒、物质使用障碍与呼吸道感染之间的关系。
发现基因预测的终生吸烟与COVID - 2019住院风险增加相关(比值比(OR)=4.039,95%置信区间2.335 - 6.985,P值=5.93×10)以及非常严重的COVID - 2019住院风险增加相关(OR = 3.091,95%置信区间1.883 - 5.092,P值=8.40×10)。基因预测的终生吸烟还与肺炎风险增加相关(OR = 1.589,95%置信区间1.214 - 2.078,P值=7.33×10)、下呼吸道感染风险增加相关(OR = 2.303,95%置信区间1.713 - 3.097,P值=3.40×10)以及其他几种情况相关。基因预测的大麻使用障碍(CUD)与支气管炎风险增加相关(OR = 1.078,95%置信区间1.020 - 1.128,P值=0.007)。
我们提供了强有力的遗传证据表明,即使在考虑了其他物质使用和滥用情况后,吸烟仍会增加呼吸道感染和疾病的风险。此外,我们发现大麻使用障碍可能会增加支气管炎风险,综合来看,这可能为未来关于物质使用障碍和呼吸道结局的研究提供指导。