ArticleFrontiers in microbiology2024
Genetic associations between gut microbiota and allergic rhinitis: an LDSC and MR analysis.
Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Association of dietary patterns with the prevalence of rheumatic diseases among older Chinese adults: a national cross-sectional survey.Clinical rheumatology · 2026Article
- Traditional Chinese Medicine for Allergic Rhinitis: Mechanisms, Evidence, and Gut-Immune Axis Targets.Journal of asthma and allergy · 2026Review
- The nasal-oral microbiome axis in allergic rhinitis: environmental triggers, microbial dysbiosis, and immune dysregulation.Frontiers in allergy · 2026Review
- Gut-lung axis in allergic rhinitis: microbial dysbiosis and therapeutic strategies.Frontiers in microbiology · 2025Review
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Several studies have suggested a potential link between allergic rhinitis (AR) and gut microbiota. In response, we conducted a meta-analysis of Linkage Disequilibrium Score Regression (LDSC) and Mendelian randomization (MR) to detect their genetic associations. Methods: Summary statistics for 211 gut microbiota taxa were gathered from the MiBioGen study, while data for AR were sourced from the Pan-UKB, the FinnGen, and the Genetic Epidemiology Research on Aging (GERA). The genetic correlation between gut microbiota and AR was assessed using LDSC. The principal estimate of causality was determined using the Inverse-Variance Weighted (IVW) method. To assess the robustness of these findings, sensitivity analyses were conducted employing methods such as the weighted median, MR-Egger, and MR-PRESSO. The summary effect estimates of LDSC, forward MR and reverse MR were combined using meta-analysis for AR from different data resources. Results: Our study indicated a significant genetic correlation between genus Conclusion: Our findings indicate a causal relationship between specific gut microbiomes and AR. This enhances our understanding of the gut microbiota's contribution to the pathophysiology of AR and lays the groundwork for innovative approaches and theoretical models for future prevention and treatment strategies in this patient population.
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