Shaffer, JR and Feingold, E and Wang, X and TCuenco, K and Weeks, DE and DeSensi, RS and Polk, DE and Wendell, S and Weyant, RJ and Crout, R and McNeil, DW and Marazita, ML
(2012)
Heritable patterns of tooth decay in the permanent dentition: Principal components and factor analyses.
BMC Oral Health, 12 (1).
Abstract
Background: Dental caries is the result of a complex interplay among environmental, behavioral, and genetic factors, with distinct patterns of decay likely due to specific etiologies. Therefore, global measures of decay, such as the DMFS index, may not be optimal for identifying risk factors that manifest as specific decay patterns, especially if the risk factors such as genetic susceptibility loci have small individual effects. We used two methods to extract patterns of decay from surface-level caries data in order to generate novel phenotypes with which to explore the genetic regulation of caries.Methods: The 128 tooth surfaces of the permanent dentition were scored as carious or not by intra-oral examination for 1,068 participants aged 18 to 75 years from 664 biological families. Principal components analysis (PCA) and factor analysis (FA), two methods of identifying underlying patterns without a priori surface classifications, were applied to our data.Results: The three strongest caries patterns identified by PCA recaptured variation represented by DMFS index (correlation, r = 0.97), pit and fissure surface caries (r = 0.95), and smooth surface caries (r = 0.89). However, together, these three patterns explained only 37% of the variability in the data, indicating that a priori caries measures are insufficient for fully quantifying caries variation. In comparison, the first pattern identified by FA was strongly correlated with pit and fissure surface caries (r = 0.81), but other identified patterns, including a second pattern representing caries of the maxillary incisors, were not representative of any previously defined caries indices. Some patterns identified by PCA and FA were heritable (h 2 = 30-65%, p = 0.043-0.006), whereas other patterns were not, indicating both genetic and non-genetic etiologies of individual decay patterns.Conclusions: This study demonstrates the use of decay patterns as novel phenotypes to assist in understanding the multifactorial nature of dental caries. © 2012 Shaffer et al; licensee BioMed Central Ltd.
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| Item Type: |
Article
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| Status: |
Published |
| Creators/Authors: |
| Creators | Email | Pitt Username | ORCID  |
|---|
| Shaffer, JR | john.r.shaffer@pitt.edu | JRS51 | | | Feingold, E | feingold@pitt.edu | FEINGOLD | | | Wang, X | | | | | TCuenco, K | | | | | Weeks, DE | weeks@pitt.edu | WEEKS | 0000-0001-9410-7228 | | DeSensi, RS | shue@pitt.edu | SHUE | | | Polk, DE | dpolk@pitt.edu | DPOLK | | | Wendell, S | wend0017@pitt.edu | WEND0017 | | | Weyant, RJ | rjw1@pitt.edu | RJW1 | 0000-0002-5252-9120 | | Crout, R | | | | | McNeil, DW | | | | | Marazita, ML | marazita@pitt.edu | MARAZITA | |
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| Date: |
9 March 2012 |
| Date Type: |
Publication |
| Journal or Publication Title: |
BMC Oral Health |
| Volume: |
12 |
| Number: |
1 |
| DOI or Unique Handle: |
10.1186/1472-6831-12-7 |
| Schools and Programs: |
School of Public Health > Behavioral and Community Health Sciences
School of Public Health > Biostatistics
School of Public Health > Human Genetics
School of Dental Medicine > Dental Science |
| Refereed: |
Yes |
| Date Deposited: |
20 Oct 2016 18:19 |
| Last Modified: |
22 Jun 2021 16:55 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/29945 |
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