No genetic link between Parkinson's disease and SARS-CoV-2 infection: a two-sample Mendelian randomization study
- PMID: 39006236
- PMCID: PMC11239547
- DOI: 10.3389/fneur.2024.1393888
No genetic link between Parkinson's disease and SARS-CoV-2 infection: a two-sample Mendelian randomization study
Abstract
Objective: Existing literature has not clearly elucidated whether SARS-CoV-2 infection increases the incidence of Parkinson's disease or if Parkinson's disease patients are more susceptible to the effects of SARS-CoV-2 infection. To clarify the issue, this study employs a genetic epidemiological approach to investigate the association.
Methods: This study utilizes a two-sample Mendelian randomization analysis. The primary analysis employs the inverse variance-weighted (IVW) method, supplemented by secondary analyses including MR-Egger regression, weighted median, IVW radial method, and weighted mode, to evaluate the bidirectional causal relationship between Parkinson's disease and SARS-CoV-2 infection.
Results: IVW results showed no genetic causality between SARS-CoV-2 susceptibility, hospitalization rate and severity and Parkinson's disease. (IVW method: p = 0.408 OR = 1.10 95% CI: 0.87 ~ 1.39; p = 0.744 OR = 1.11 95% CI: 0.94 ~ 1.09; p = 0.436 OR = 1.05 95% CI: 0.93 ~ 1.17). Parkinson's disease was not genetically associated with susceptibility to new crown infections, hospitalization rates, and severity (IVW method: p = 0.173 OR = 1.01 95% CI: 0.99 ~ 1.03; p = 0.109 OR = 1.05 95% CI: 0.99 ~ 1.12; p = 0.209 OR = 1.03 95% CI: 0.99 ~ 1.07). MR-Egger regression, weighted median, IVW radial method, and weighted mode results are consistent with the results of the IVW method.
Conclusion: This study does not support a genetic link between Parkinson's disease and SARS-CoV-2 infection, and the association observed in previous cohort studies and observational studies may be due to other confounding factors.
Keywords: Mendelian randomization study; Parkinson’s disease; SARS-CoV-2; genetic link; infection.
Copyright © 2024 Hu, Li, Qu, He, Chen, Zhan, Du, Wang, Chen, Sun and Ning.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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