AUTHOR=Hu Xiaohua , Li Yutong , Qu Hua , He Chunying , Chen Zhiyan , Zhan Min , Du Yida , Wang Huan , Chen Wenjie , Sun Linjuan , Ning Xia 

TITLE=No genetic link between Parkinson’s disease and SARS-CoV-2 infection: a two-sample Mendelian randomization study

JOURNAL=Frontiers in Neurology

VOLUME=Volume 15 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2024.1393888

DOI=10.3389/fneur.2024.1393888

ISSN=1664-2295

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.