Objectives: Previous observational studies have revealed a
connection between sarcopenia and COVID-19. To evaluate their causal
relationship, we utilized a bidirectional two-sample Mendelian
randomization (MR) analysis to study the link of cause and effect
between sarcopenia and COVID-19. Methods: Inverse variance
weighting (IVW), MR-Egger, weighted, and weighted median were used in
this research. Then we used the MR Pleiotropy RESidual Sum and Outlier
(MR-PRESSO) and MR-Egger regression methods to estimate the pleiotropy
of instrumental variables (IVs), while the outliers were excluded by
MR-PRESSO. Moreover, we used Cochran’s Q statistic to evaluate the
heterogeneity among the IVs. And we used leave-one-out sensitivity
analysis to identify the SNPs that significantly affect the outcomes.
Finally, the Bonferroni correction was used to correct each result.
Results: The IVW results suggested that faster WP decreased the
risk of all types of COVID-19 (COVID-19 infection: OR = 0.469, 95% CI:
0.326,0.676, P = 4.82E-05; COVID-19 hospitalization: OR = 0.247,
95% CI: 0.122,0.502, P = 1.11E-04; severe COVID-19: OR = 0.120,
95% CI: 0.046,0.314, P = 1.53E-05). However, there was no causal
relationship between ASM, LH or RH and COVID-19, and WP adjusted for BMI
had no significant connection with all types of COVID-19. Furthermore,
no causal association of COVID-19 on sarcopenia was observed in the
results of reverse MR analysis. Conclusion: Our bidirectional
two-sample MR study suggests the causal relationship between WP and
COVID-19 but it may be caused by the mediating role of BMI, thus there
is no causal association between sarcopenia and COVID-19.