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Published on: September 22, 2023
Causal Association Between Gut Microbiota and Sleep Apnoea Identified by Bayesian Weighted Mendelian Randomisation
Chenguang Zhang1,2, Yicong Wang1,3, Guanghao Yue2
1Graduate School of Qinghai University, Xining, China.
This study used genetic data to explore the causal link between gut microbiota (GM) and sleep apnoea. Findings suggest specific gut bacteria may influence sleep apnoea risk or protection.
Area of Science:
- Microbiome research
- Genetics
- Sleep medicine
Background:
- Gut microbiota (GM) plays a crucial role in human health.
- Sleep apnoea is a common sleep disorder with complex etiology.
- The causal relationship between GM and sleep apnoea remains unclear.
Purpose of the Study:
- To investigate the potential causal relationship between gut microbiota and sleep apnoea using a robust genetic analysis.
- To identify specific gut microbial taxa that may causally influence the risk or protection of sleep apnoea.
Main Methods:
- Utilized a two-sample Mendelian randomisation (MR) framework with summary-level genome-wide association study (GWAS) data.
- Employed inverse variance-weighted (IVW) as the primary analysis method, supported by MR-Egger, weighted median, and Bayesian Weighted Mendelian Randomisation (BWMR) for sensitivity.
- Conducted comprehensive sensitivity analyses including heterogeneity (Cochran's Q), pleiotropy (MR-Egger intercept, MR-PRESSO), and leave-one-out analyses.
Main Results:
- Identified 33 gut microbial traits associated with sleep apnoea (p < 0.05) via IVW.
- BWMR confirmed 24 gut microbial traits with significant causal effects, including 10 protective and 14 risk associations.
- Sensitivity analyses supported the robustness of findings, with minimal evidence of significant pleiotropy or heterogeneity for most associations.
Conclusions:
- Provides strong genetic evidence supporting a potential causal role for gut microbiota in sleep apnoea.
- Identifies specific gut microbial signatures that may represent novel targets for sleep apnoea prevention or treatment.
- Highlights the utility of MR in dissecting complex host-microbiome interactions relevant to disease.
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