• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Brain Behav . Association between COVID-19 and myasthenia gravis (MG): A genetic correlation and Mendelian randomization study

tetano

Editor, Senior Moderator
Brain Behav


. 2023 Aug 28;e3239.
doi: 10.1002/brb3.3239. Online ahead of print. Association between COVID-19 and myasthenia gravis (MG): A genetic correlation and Mendelian randomization study

Dongren Sun[SUP] 1 [/SUP], Liangdan Tu[SUP] 1 [/SUP], Xiaofei Wang[SUP] 1 [/SUP], Qin Du[SUP] 1 [/SUP], Rui Wang[SUP] 1 [/SUP], Ziyan Shi[SUP] 1 [/SUP], Hongxi Chen[SUP] 1 [/SUP], Hongyu Zhou[SUP] 1 [/SUP]



Affiliations
Abstract

Background: Observational studies have suggested an association between coronavirus disease 2019 (COVID-19) and myasthenia gravis (MG). Here, we aimed to estimate the genetic correlation and causal relationship between COVID-19 susceptibility, hospitalization, severity, and MG phenotypes using linkage disequilibrium score regression (LDSC) and Mendelian randomization (MR) approach.
Methods: Summary statistics of COVID-19 susceptibility, hospitalization, and severity were used as instrumental variables for exposure traits. Large-scale genome-wide association study (GWAS) data for MG were used as outcome traits. The inverse variance weighted approach was used for the main MR analysis, complemented by MR-Egger, weighted median, simple mode, and weighted mode methods. Sensitivity analysis was implemented using Cochran's Q test, MR-PRESSO method, and MR-Egger intercept test.
Results: LDSC analysis did not reveal any genetic correlation among COVID-19 susceptibility, hospitalization, severity, and MG phenotypes, including MG, early-onset MG, and late-onset MG (p > .05). Our MR analysis did not provide evidence supporting a causal effect of COVID-19 susceptibility, hospitalization, or severity on MG phenotypes (p > .05). Extensive sensitivity analysis strengthened the robustness and consistency of the MR estimates.
Conclusion: Our study did not find evidence of a genetic correlation or causal relationship among COVID-19 susceptibility, hospitalization, severity, and MG. Future studies with more GWAS data are needed to evaluate the association between COVID-19 phenotypes and MG and its subgroups.

Keywords: COVID-19; Mendelian randomization; causal effect; myasthenia gravis.

 
Back
Top Bottom