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Quantitative genetic analyses of postcanine morphological crown variation.
Christopher M Stojanowski1, Kathleen S Paul1, Andrew C Seidel1
1Center for Bioarchaeological Research, School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona.
This study estimated heritability and genetic correlation for tooth crown morphology. Findings suggest some current dental biodistance practices, like pooling sexes or sides, may need reevaluation for accurate genetic insights.
Area of Science:
- Anthropology
- Genetics
- Dentistry
Background:
- Tooth crown morphology offers insights into human evolution and population genetics.
- Understanding the genetic basis of dental traits is crucial for anthropological studies.
- Previous research has explored heritability of dental traits, but postcanine teeth require further investigation.
Purpose of the Study:
- To estimate narrow-sense heritability and bivariate genetic correlation for 14 tooth crown morphological variants.
- To inform data collection and analytical practices in dental biodistance research.
- To provide insights into the developmental integration of molar crowns.
Main Methods:
- Utilized dental casts from the Menegaz-Bock collection (African American individuals).
- Applied the Arizona State University Dental Anthropology System for trait scoring.
- Generated heritability and genetic correlation estimates using SOLAR software, accounting for covariates like age and sex.
Main Results:
- Heritability estimates were mostly nonsignificant for postcanine teeth, but significant estimates were moderate to high.
- Directional asymmetry in environmental variance was observed between left and right sides.
- Genetic correlations were moderate among same-tooth and adjacent-tooth traits but low for different traits on the same tooth.
Conclusions:
- Significant heritabilities for postcanine traits were higher than for anterior teeth.
- Genetic correlations were generally unremarkable, potentially due to statistical power limitations.
- Findings question the pooling of sexes and sides in dental biodistance analyses, suggesting potential biases.
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