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Oral Health Assessment by Lay Personnel for Older Adults
Published on: February 2, 2020
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A Polygenic Score Predicts Caries Experience in Elderly Swedish Adults
N Fries1, S Haworth2, J R Shaffer3
1Umeå University, Umea, Sweden.
Journal of Dental Research
|April 7, 2024
Summary
A new polygenic score (PS) for caries shows genetic predisposition is linked to higher decay, missing, and filled tooth surfaces (DMFS). This genetic risk assessment tool could improve dental care by identifying individuals at higher risk for cavities.
Area of Science:
- Genetics
- Dental Public Health
- Epidemiology
Background:
- Dental caries is a multifactorial disease with a known heritable component.
- Polygenic scores (PS) are emerging tools for assessing genetic predisposition to complex diseases.
- No polygenic score for caries has been previously evaluated for clinical utility.
Purpose of the Study:
- To evaluate the association between a genome-wide polygenic score (PS) for caries and disease experience in a Swedish adult cohort.
- To assess the predictive performance of the PS for caries increment over time.
Main Methods:
- A genome-wide PS for caries was developed using existing meta-analysis data.
- The PS was applied to an independent cohort of 15,460 Swedish adults.
- Dental records were used to calculate decayed, missing, and filled tooth surfaces (DMFS) and remaining teeth; associations with PS were analyzed.
Main Results:
- Individuals in the highest decile of the PS had significantly higher mean DMFS compared to those in the lowest decile (63.5 vs. 46.3).
- A 1-standard deviation increase in PS was associated with a 4-unit increase in DMFS (P < 2 × 10⁻¹⁶).
- Higher PS was also linked to a greater increase in DMFS over the follow-up period, with tooth loss acting as a mediator.
Conclusions:
- A genome-wide polygenic score for caries demonstrates clinically meaningful associations with disease experience and increment in a Swedish adult population.
- The findings support the potential of using polygenic scores for improved caries risk assessment.
- Genomic data may play a future role in personalized dental care strategies for caries prevention.
Keywords:
epidemiologygenetic risk scorehuman geneticsrisk factorstooth demineralizationtooth diseases
