Heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses

Autor: Xiao Jing Wang, Karen T Tcuenco, Rebecca S. DeSensi, Daniel E. Weeks, Eleanor Feingold, Deborah E. Polk, Richard J. Crout, John R. Shaffer, Mary L. Marazita, Steven Wendell, Daniel W. McNeil, Robert J. Weyant
Rok vydání: 2012
Předmět:
Multifactorial Inheritance
Dental Caries Susceptibility
Permanent dentition
Genome-wide association study
Principal components analysis
Dental Fissures
0302 clinical medicine
Dental caries genetics
Prevalence
Medicine
Smooth surfaces
Orthodontics
Appalachian Region
Principal Component Analysis
0303 health sciences
Middle Aged
Phenotype
Principal component analysis
Factor analysis
Research Article
Tooth surfaces
Adult
Adolescent
Patterns of tooth decay
Dental Caries
Heritability
Young Adult
03 medical and health sciences
Pit and fissure surfaces
Genetic variation
Genetic predisposition
Humans
General Dentistry
Aged
030304 developmental biology
DMF Index
Dentistry(all)
business.industry
Genetic Variation
030206 dentistry
lcsh:RK1-715
Dentition
Permanent
Patterns of dental caries
Evolutionary biology
lcsh:Dentistry
Factor Analysis
Statistical
business
Genome-Wide Association Study
Zdroj: BMC Oral Health
BMC Oral Health, Vol 12, Iss 1, p 7 (2012)
ISSN: 1472-6831
DOI: 10.1186/1472-6831-12-7
Popis: 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 (h2 = 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.
Databáze: OpenAIRE
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