Causality between coronavirus disease 2019 and tuberculosis: A two-sample Mendelian randomization study
Lei Wang1, Chidao Chen, Peng Wang
1College of Medical Imaging, Qilu Medical University, Zibo, Shandong, China.
Insights
This Mendelian randomization study found no causal link between coronavirus disease 2019 (COVID-19) and tuberculosis (TB). Further research is needed due to limited genetic data, but current evidence suggests no two-way causality.
Area of Science:
- Epidemiology
- Genetics
- Infectious Diseases
Background:
- An association between COVID-19 and TB has been observed, but the causal relationship remains unclear.
- Previous studies suggest potential impacts of COVID-19 on TB, necessitating further investigation.
- Mendelian randomization (MR) offers a method to explore genetic causality between diseases.
Purpose of the Study:
- To investigate the potential bidirectional causal relationship between COVID-19 and TB.
- To utilize genetic data to infer causality, minimizing confounding factors.
- To provide robust evidence regarding the connection between these two significant public health concerns.
Main Methods:
- Mendelian randomization (MR) analysis was employed.
- Genome-wide association studies (GWAS) data for COVID-19 and TB were utilized.
- Five complementary MR methods, including inverse variance weighting and MR-Egger regression, were applied to assess the relationship.
Main Results:
- No statistically significant causal relationship was found between COVID-19 and TB in either direction.
- Reverse MR analysis also confirmed the absence of a significant bidirectional causal link.
- The odds ratio for the association was 1.022 (95% CI: 0.955-1.032, P=0.611).
Conclusions:
- This bidirectional MR analysis suggests no two-way causality between COVID-19 and TB in the studied European population.
- The findings contrast with some previous epidemiological observations.
- Caution is advised in interpreting results due to limitations in available GWAS data for both conditions.
Abstract:
An association between coronavirus disease 2019 (COVID-19) and tuberculosis (TB) has been reported, although the causal relationship between these factors remains unclear. This study aimed to investigate the causal connection between COVID-19 and TB using Mendelian randomization (MR) analysis. The UK Biobank provided summary data on COVID-19 using the integrative epidemiology unit open genome-wide association studies (GWAS) pool. GWAS data on TB were also retrieved. The relationship between COVID-19 and TB was examined using 5 methods, the major method being inverse variance weighting. Additional methods included weighted median, MR-Egger regression, simple mode, weighted mode, and Wald ratio. No significant correlation was observed between COVID-19 and TB (odds ratio = 1.022, 95% confidence interval 0.955-1.032, P = .611). Reverse MR analysis also confirmed the absence of a causal relationship between COVID-19 and TB risk (P > .05). This study used several complementary MR approaches to explore the bidirectional relationship between COVID-19 and TB and revealed no significant bidirectional relationship. However, given the limited GWAS data for these 2 conditions, caution is warranted when interpreting these results. While previous epidemiological and retrospective studies have suggested that COVID-19 may impact TB, our bidirectional MR analysis based on European population genetic data suggests no two-way causality between COVID-19 and TB in this population.
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