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Causal relationship between insomnia and tuberculosis: A bi-directional Mendelian randomization analysis
Shaobin Zhang1, Wei Zhang2, Yan Feng3
1Department of Surgery, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Medicine
|September 20, 2022
Summary
This study used Mendelian randomization to investigate the causal link between insomnia and tuberculosis. Findings indicate no direct causal relationship exists between sleep disorders like insomnia and tuberculosis.
Area of Science:
- Genetics
- Epidemiology
- Sleep Medicine
Background:
- Observational studies suggest a link between sleep disorders and tuberculosis, but are limited by confounding factors and reverse causation.
- Mendelian randomization (MR) offers a robust method to assess causal relationships, overcoming limitations of traditional observational research.
Purpose of the Study:
- To employ a bi-directional Mendelian randomization analysis to determine if insomnia causally affects tuberculosis or vice versa.
- To provide unconfounded estimates of the potential causal effects between insomnia and tuberculosis.
Main Methods:
- A bi-directional Mendelian randomization approach was utilized.
- Genome-wide significant and independent single-nucleotide polymorphisms (SNPs) served as instrumental variables (IVs).
- Standard MR methods (IVW, MR-Egger, weighted median) and sensitivity analyses were applied to assess causality and pleiotropy.
Main Results:
- The forward-direction MR analysis, using 15 SNPs for genetically proxied insomnia, found no causal effect on tuberculosis (IVW OR 5.305 [0.100-281.341], P=0.410).
- Reverse-direction MR analysis for tuberculosis on insomnia yielded no eligible SNPs.
- Statistical tests indicated insignificant heterogeneity and pleiotropy, supporting the robustness of the findings.
Conclusions:
- The bi-directional Mendelian randomization analysis concludes there is no evidence of a causal relationship between insomnia and tuberculosis.
- This study strengthens the understanding of the complex interplay between sleep disorders and infectious diseases.
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