Genetic Causal Correlations between Allergic Diseases and COVID-19: A Systematic Two-Sample and Bidirectional MR Study

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Abstract

Background: Allergic diseases (ADs) such as asthma are presumed risk factors for COVID-19 infection. However, recent observational studies suggest that the assumed correlation remains controversial. We therefore systematically investigated the genetic causal correlations of various ADs with COVID-19 infection/severity.Methods: We performed a two-sample, bidirectional Mendelian randomization (MR) study of five ADs and the latest round of COVID-19 GWAS meta-analysis datasets (critically ill, hospitalized, and infection cases). We also validated the significant causal correlations and further elucidated potential underlying molecular mechanisms.Results: The most suitable MR method, for the first time, revealed significant causal effects of COVID-19 infection/severity on an increased asthma prevalence (OR>4.21), which obtained further validations. In the other way, asthma consistently demonstrated causally protective effects on critically ill and hospitalized COVID-19 cases upon adopting multiple MR methods (OR, 0.87–0.99). Our MR analyses also observed potential causal correlations of COVID-19 severity with atopic dermatitis, shrimp and peach allergy. Regarding underlying molecular mechanisms, COVID-19 phenotypes, especially those critically ill cases, were causally correlated to hematological traits and count data of immune-related cells. On the other hand, ADs such as asthma and shrimp allergy may be causally correlated with COVID-19 infection/severity by affecting ACE2 protein expression.Conclusions: Our MR analyses suggest a bidirectional causal effect between COVID-19 phenotypes and ADs, especially asthma. The potential underlying molecular mechanisms of the causal effects may be beneficial in developing effective therapeutic strategies for allergy patients with COVID-19 infection and call for more attention to their physical characteristics upon showing long-term COVID-19 symptoms.Funding: This study was supported by Fujian Provincial Natural Science Foundation Youth Innovation Project (grant no. 2021J05050), Fujian Province Joint Innovation Project (grant no. 2021Y9030), Research start-up funds for high-level talents from Fujian Medical University (grant no. XRCZX2021009), and National Natural Scientific Foundation of China (grant nos. 32072336 and 31871720).Declaration of Interest: The authors have no conflicts of interest to declare.

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