4.6 Article

Using national register data to estimate the heritability of periodontitis

期刊

JOURNAL OF CLINICAL PERIODONTOLOGY
卷 48, 期 6, 页码 756-764

出版社

WILEY
DOI: 10.1111/jcpe.13459

关键词

epidemiology; genetics; heritability; latent class analysis; periodontitis

资金

  1. Stiftelsen Patentmedelsfonden for Odontologisk Profylaxforskning [2018-001]
  2. National Institute for Health Research
  3. Swedish Research Council [2015-02597, 2017-00641]
  4. Swedish Research Council [2015-02597] Funding Source: Swedish Research Council

向作者/读者索取更多资源

The study found that periodontitis is a moderately heritable disease and periodontal traits derived from electronic records can be used as an attractive target for future genetic association studies.
Aim To identify whether periodontal traits derived from electronic dental records are biologically informative and heritable. Materials and methods The study included 11,974 adult twins (aged 30-92 years) in the Swedish Twin Registry. Periodontal records from dental examinations were retrieved from a national register and used to derive continuous measures of periodontal health. A latent class approach was used to derive categorial measures of periodontal status. The correlation patterns in these traits were contrasted in monozygotic and dizygotic twin pairs using quantitative genetic models to estimate the heritability of the traits. Results For continuous traits, heritability estimates ranged between 41.5% and 48.3% with the highest estimates for number of missing tooth surfaces and rate of change in number of deep periodontal pockets (>= 6 mm). For categorial traits, the latent class approach identified three classes (good periodontal health, mild periodontitis signs and severe signs of periodontitis) and there was a clear difference in the hazard for subsequent tooth loss between these three classes. Despite this, the class allocations were only slightly more heritable than a conventional dichotomous disease definition (45.2% vs. 42.6%). Conclusions Periodontitis is a moderately heritable disease. Quantitative periodontal traits derived from electronic records are an attractive target for future genetic association studies.

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