ArticleFrontiers in microbiology2026
Deciphering the gut microbiota's role in infection risk: Mendelian randomization analysis of microbial taxa and infectious outcomes.
Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Observational studies have linked the gut microbiota (GM) to infectious diseases, but confounding, reverse causation, and disease-related microbiome changes limit causal interpretation. We combined Mendelian randomization (MR) with focused experimental analyses to investigate microbiota-infection relationships. Methods: Two-sample MR evaluated genetically predicted microbial taxa across 75 infectious outcomes. Inverse-variance weighted (IVW) estimates were used as the primary analysis, with weighted-median and MR-Egger estimates as complementary methods. Benjamini-Hochberg false discovery rate (FDR) and Bonferroni corrections were applied across all IVW tests. Instrument strength, Cochran's Q, MR-Egger intercepts, leave-one-out analysis, MR-PRESSO, and Steiger directionality testing were used to assess robustness. Exploratory association patterns were used to prioritize a Coriobacteriia-related respiratory signal for experimental investigation using Results: Among 15,728 IVW tests, 659 associations had nominal Conclusion: The corrected
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