ArticleClinical oral investigations2025
Genetic risk factors for periodontitis: a genome-wide association study using UK Biobank data.
Article in Clinical oral investigations, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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.
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Who cites it
5 citing papers in PubMed.
- Mapping the subgingival HerBiome and HisBiome over the human healthspan.Journal of periodontology · 2026Article
- Periodontal diseases and all-cause dementia risk: Genetic instrument analyses in half a million UK Biobank participants.Journal of Alzheimer's disease : JAD · 2026Article
- Exploring the associations between dietary nitrate and nitrite intake and markers of self-reported periodontal disease in the UK Biobank cohort.European journal of nutrition · 2026Article
- Review
- GWAS for Periodontitis Phenotypes Using Multi-Ancestry All of Us Research Platform.medRxiv : the preprint server for health sciences · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
11 authors.
Funding
Abstract
objectivesPeriodontitis is linked with many health conditions, but its genetic basis is not yet understood. This genome-wide association study (GWAS) aimed to investigate the genetic variants associated with periodontitis. MATERIALS AND
methodsThis study utilised UK Biobank participants of European descent. Individuals were categorised as "having periodontitis" if they self-reported having 'painful gums', 'bleeding gums' or 'loose teeth' (n = 68,482), or as "controls" for those without these symptoms (n = 307,342). We conducted GWAS of this binary periodontitis phenotype using logistic regression models with PLINK2.0 adjusting for age, sex and the first 15 principal components to account for population stratification.
resultsThere were 376,611 participants (mean baseline age = 57 ± 7.9 SD) included in the GWAS, and four significant loci were identified: rs775476621 on chromosome 11 (Odds Ratio, OR[T]: 3.08, p = 1.01 × 10
conclusionsWithin the current limitations, such as self-reported phenotype and older age of the study population, four loci were detected for periodontitis that have not previously been linked with this condition. Further exploration of the function of these loci may contribute to improved understanding of periodontitis aetiology and subsequent drug development. CLINICAL RELEVANCE: These findings offer new targets for future research to investigate the genetic impact on periodontitis and aid the future understanding of periodontitis pathology and the disease's progression.
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