ArticlemSystems2026
The associations of human genetic variations with airway microbiome, environmental exposures, and respiratory health.
Article in mSystems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
The intricate interactions between environmental exposures, the respiratory microbiome, and host genetic variations remain inadequately understood in the context of respiratory health. This study utilized sputum metagenomic data from 1,651 individuals in our previous cohort to elucidate these associations. Mendelian randomization indicated that air pollutants (e.g., SO IMPORTANCE: This study reveals why individuals exposed to identical air pollution exhibit varying degrees of respiratory severity, pointing to a critical missing link: our genetics. While pollution is a known disease trigger, our findings demonstrate that host genetic variation actively regulates and shapes the respiratory microbiome under environmental stress. By mapping specific genetic loci to pollutant-driven bacterial shifts, this work elucidates how host genetics filters environmental risks to govern microbial homeostasis. These results underscore the necessity of incorporating host-microbiome genetic regulation into environmental health research. Ultimately, this study shifts the paradigm toward personalized medicine, enabling the early identification of at-risk individuals and the development of targeted, microbiome-informed interventions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.