ArticleScientific reports2025
Genomic structural equation modeling identifies shared genetic architecture and novel loci for halitosis.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
1 citing paper in PubMed.
- Organ-on-chip (OoC) and nano-biomaterials: next generation of precision oral and dental healthcare research.Journal of nanobiotechnology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The intricate shared genetic architecture underlying halitosis and its related disorders-including salivary secretion disorders, chronic periodontitis, gastroesophageal reflux disease, dental caries, chronic sinusitis, helicobacter pylori infection, and porphyromonas genus abundance-remains incompletely characterized. Our study employed genomic structural equation modeling (Genomic SEM) to define the halitosis common factor (HCF) representing the shared genetic architecture of halitosis-related disorders. Coupled with diverse post-GWAS analytical methods, we aimed to discover susceptible loci and investigate genetic associations with external traits. Furthermore, we explored enriched genetic pathways, cellular layers, and genomic elements. Polygenic risk score analyses, leveraging our integrated GWAS data, were conducted to assess chromosomal-level risk associations for the HCF. A well-fitted genomic SEM integrated GWAS data, revealing the shared genetic architecture of halitosis-related disorders. We identified 23 independent genome-wide significant SNP loci, all previously unreported for this HCF relative to the input single-trait GWAS. Fine-mapping of variants and gene prioritization pinpointed numerous high-confidence putative causal variants and candidate susceptible genes. Subsequent analyses further illuminated the shared genetic architecture underlying HCF and multiple external traits, notably neuropsychiatric characteristics, cognitive function, and inflammatory or metabolic conditions. Notably, this study presents the first comprehensive genetic characterization of halitosis and its related disorders through a GWAS analysis of an unmeasured composite phenotype, providing novel insights into shared etiological pathways potentially linking oral health to systemic factors across these conditions.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.