Genetic Factors Influencing Periodontal Disease Susceptibility
Summary
Periodontal disease arises from complex interactions between host immune responses, environmental factors and the subgingival microbiome. Genetic variation contributes substantially to individual susceptibility, accounting for an estimated one-third of the variance in disease onset and progression. Both monogenic and polygenic influences have been identified, ranging from rare mutations affecting innate immune receptors to common single-nucleotide polymorphisms that modulate cytokine expression and tissue remodelling. Genome-wide association studies and candidate-gene approaches have uncovered loci involved in inflammatory signalling, extracellular matrix turnover and cellular adhesion. These findings point to pathways through which genetic background shapes the inflammatory cascade, impacts microbial colonisation and ultimately determines risk of tissue destruction. Integrating genetic profiles with clinical and microbiological data promises to refine risk stratification and to guide personalised preventive and therapeutic strategies on a global scale.
Research from Nature Portfolio
Large-scale genome-wide analyses combining clinical measures and self-reported data have mapped numerous risk loci for periodontitis, revealing that heritability is enriched in conserved genomic regions and overlaps with traits such as smoking and metabolic factors. This work emphasises the value of proxy phenotypes in expanding sample sizes and identifying novel genetic contributors to periodontal susceptibility. A focused genetic study of interleukin-1β expression in gingival crevicular fluid has pinpointed functional variants in the IL37 locus, demonstrating that specific alleles heighten pro-inflammatory cytokine levels, impair IL-37 maturation and exacerbate tissue damage in model systems. In parallel, a combined genome-wide meta-analysis of periodontitis and coronary artery disease has uncovered shared risk haplotypes, notably at a vesicular-trafficking gene, which strengthen the case for common inflammatory mechanisms linking oral and systemic conditions.
Genetic Factors Influencing Periodontal Disease Susceptibility publication trend
The graph below shows the total number of articles in genetic factors influencing periodontal disease susceptibility across all publications each year (not limited to Nature Index journals).
Technical terms
Genome-wide association study (GWAS): An analysis that scans the genome for common genetic variants in different individuals to see if any variant is associated with a trait.
Single-nucleotide polymorphism (SNP): A variation at a single position in the DNA sequence among individuals, which may influence disease risk.
Polygenic risk score (PRS): A quantitative measure of an individual’s genetic predisposition to disease, calculated from the sum of risk-associated alleles across many loci.
Mendelian randomisation: A method that uses genetic variants as proxies for modifiable exposures to infer causal relationships between risk factors and disease outcomes.
References
- The promise and challenges of genomics‐informed periodontal disease diagnoses. Periodontology 2000 (2024).
- The Role of Interleukin 6 in Periodontitis and Its Complications. International Journal of Molecular Sciences (2024).
- Association between periodontitis and endometriosis: a bidirectional Mendelian randomization study. Frontiers in Endocrinology (2024).
- Genetic Factors and the Risk of Periodontitis Development: Findings from a Systematic Review Composed of 13 Studies of Meta‐Analysis with 71,531 Participants. International Journal of Dentistry (2017).
- Genome-wide analysis of dental caries and periodontitis combining clinical and self-reported data. Nature Communications (2019).
- GWAS for Interleukin-1β levels in gingival crevicular fluid identifies IL37 variants in periodontal inflammation. Nature Communications (2018).
- Genome-wide association meta-analysis of coronary artery disease and periodontitis reveals a novel shared risk locus. Scientific Reports (2018).
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