Causal relationships between COVID-19 and osteoporosis: a two-sample Mendelian randomization study in European
Kai Zhang1, Wei Shi1, Xinglong Zhang1,2
1Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Insights
This study found no genetic link between COVID-19 severity and osteoporosis. Mendelian randomization analysis indicates that severe acute respiratory syndrome coronavirus 2 infection does not cause osteoporosis.
Area of Science:
- Genetics
- Epidemiology
- Infectious Diseases
Background:
- The relationship between Coronavirus disease 2019 (COVID-19) and osteoporosis (OP) requires further investigation.
- Understanding this link is crucial for managing long-term health consequences of COVID-19.
Purpose of the Study:
- To investigate the potential causal effect of COVID-19 severity on osteoporosis.
- To assess whether genetic predisposition to severe COVID-19 influences osteoporosis risk.
Main Methods:
- A two-sample Mendelian randomization (MR) study was employed.
- Genome-wide association study (GWAS) data for COVID-19 severity and osteoporosis were utilized.
- Inverse variance weighting (IVW) and complementary MR methods were used, with sensitivity analyses for robustness.
Main Results:
- No statistically significant causal relationship was found between COVID-19 severity (including SARS-CoV-2 infection, hospitalization, and severe disease) and osteoporosis.
- Consistent results were observed across primary and sensitivity analyses, including MR-Egger regression and weighted median methods.
- The study found no evidence of horizontal pleiotropy or instrument heterogeneity.
Conclusions:
- The findings suggest the absence of a genetic causal link between COVID-19 severity and osteoporosis.
- Further research may be needed to explore other potential non-genetic pathways.
- This study contributes to understanding the complex interplay between viral infections and bone health.
Introduction:
The causal relationship between Coronavirus disease 2019 (COVID-19) and osteoporosis (OP) remains uncertain. We aimed to assess the effect of COVID-19 severity (severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, COVID-19 hospitalization, and severe COVID-19) on OP by a two-sample Mendelian randomization (MR) study.
Methods:
We conducted a two-sample MR analysis using publicly available genome-wide association study (GWAS) data. Inverse variance weighting (IVW) was used as the main analysis method. Four complementary methods were used for our MR analysis, which included the MR-Egger regression method, the weighted median method, the simple mode method, and the weighted mode method. We utilized the MR-Egger intercept test and MR pleiotropy residual sum and outlier (MR-PRESSO) global test to identify the presence of horizontal pleiotropy. Cochran's Q statistics were employed to assess the existence of instrument heterogeneity. We conducted a sensitivity analysis using the leave-one-out method.
Results:
The primary results of IVW showed that COVID-19 severity was not statistically related to OP (SARS-CoV-2 infection: OR (95% CI) = 0.998 (0.995 ~ 1.001), p = 0.201403; COVID-19 hospitalization: OR (95% CI) =1.001 (0.999 ~ 1.003), p = 0.504735; severe COVID-19: OR (95% CI) = 1.000 (0.998 ~ 1.001), p = 0.965383). In addition, the MR-Egger regression, weighted median, simple mode and weighted mode methods showed consistent results. The results were robust under all sensitivity analyses.
Conclusion:
The results of the MR analysis provide preliminary evidence that a genetic causal link between the severity of COVID-19 and OP may be absent.
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