This analysis reports on a spatial-temporal survey of published studies of primary tooth crown dimensions in humans (80 samples). Mesiodistal data are analyzed for the 10 tooth crown dimensions. The purpose was to evaluate the numerous case reports (descriptive analyses of single samples) in the literature in order to assess patterning of variation 1) in tooth size, 2) among tooth types, 3) across sexes, 4) with space (historical affinity), and 5) with time. Sexual dimorphism is low in the primary dentition, averaging 2% across all 10 tooth types. All size distributions of the samples are positively skewed because of megadont native Australians. Europeans, who are most frequently represented in the literature, have the smallest tooth crowns of any continental grouping assessed. The method by Darroch Mosimann ([1985] Biometrika 72:241-252) of reducing size effects was used, basically standardizing the data variable-wise, and then ordinating groups on their factor scores. Principal components analysis produced just two canonical axes: overall size (68%) and a front-back (i1-i2-c vs. m1-m2) polarity (11%), based on the intergroup (not ontogenetic) covariance matrix. This second component discriminates between groups with relatively large anterior teeth (Europeans) and those where relatively more tooth substance is apportioned to the molars (Africans and Asians). Size differences predominate over shape between sexes from the same groups. Europeans have small teeth with comparatively large anterior dimensions. Asian and sub-Saharan African samples share features of average crown size but large cheek teeth. Indian and European samples show considerable overlap on both canonical axes, with average size overall but comparatively large anterior teeth. The few Amerindian samples are too variable to characterize. Based on comparisons of archaeological and living samples, tooth size reductions are documented here for Europe, India, and the Near East compared to tooth sizes of Neolithic and Mesolithic samples. The temporal changes parallel those documented elsewhere for the permanent dentition. The biological and anthropological relevance of these distributions is discussed.
The expression of dental morphological characteristics is partially genetically controlled, and is assumed to be similar in deciduous and permanent dentitions. However, there are few published data comparing normal morphological variation between the two dentitions in the same individual. For the current study, data were collected from European Americans (N = 54) whose teeth were cast both as children and adults. We observed 19 trait expressions in deciduous and permanent dentitions. Deciduous traits were scored based on Hanihara's and Sciulli's descriptions, while permanent teeth were scored using the ASU dental anthropology system. The two dentitions' scores were compared using Goodman-Kruskal's Gamma (gamma) in the original, commonly used systems as well as in a new, shared scale to which the scores were converted. Observations were also dichotomized in both formats and compared using tetrachoric correlation. We expected high correlations between the two dentitions and for both statistics to yield similar results. For the original scores, gamma correlations vary from -1.0 to 0.68; tetrachoric correlations vary from 0.04 to 0.67. For the shared scale scores, gamma correlations range from -1.0 to 1.0 and tetrachoric correlations range between -0.47 and 0.8. Several traits showed no correlation in either test. Overall, categorical data analysis returned more positive moderate to high correlations than tetrachoric correlation analysis, and shared scale tests resulted in more correlations than did tests of data in the original scoring systems. These results reflect differences in commonly used scoring systems, variation in rarely occurring traits, different strengths of trait expression, and complex genetic/environmental interactions.
Within a population, only phenotypic variation that is influenced by genes will respond to selection. Genes with pleiotropic effects are known to influence numerous traits, complicating our understanding of their evolution through time. Here we use quantitative genetic analyses to identify and estimate the shared genetic effects between molar size and trunk length in a pedigreed, breeding population of baboons housed at the Southwest National Primate Research Center. While crown area has a genetic correlation with trunk length, specific linear measurements yield different results. We find that variation in molar buccolingual width and trunk length is influenced by overlapping additive genetic effects. In contrast, mesiodistal molar length appears to be genetically independent of body size. This is the first study to demonstrate a significant genetic correlation between tooth size and body size in primates. The evolutionary implications are discussed.
This study employs metric and morphological features of the deciduous dentition for discriminating between European-American and African-American children and providing allocation rules (regression equations). Five logistic regression equations are presented, with the percentage of correct allocation to group of between 90.1-92.6%. All five equations employ three metric traits (the mesiodistal diameters of the mandibular deciduous canines and anterior and posterior deciduous premolars) and one morphological feature (cusp number of the maxillary deciduous anterior premolar). In addition to these four variables, only two or three additional morphological features are added in carious combinations in the final equations. Correct allocation to group is 4-12% greater when combining metric and morphological features compared to using the features separately.
We report the results of statistical genetic analyses of data from the Collaborative Study on the Genetics of Alcoholism prepared for the Genetic Analysis Workshop 14 to detect and characterize maternally inherited mitochondrial genetic effects on variation in latent class psychiatric/behavioral variables employed in the diagnosis of alcoholism. Using published extensions to variance decomposition methods for statistical genetic analysis of continuous and discrete traits we: 1) estimated the proportion of the variance in each trait due to the effects of mitochondrial DNA (mtDNA), 2) tested for pleiotropy, both mitochondrial genetic and residual additive genetic, between trait pairs, and 3) evaluated whether the simultaneous estimation of mitochondrial genetic effects on these traits improves our ability to detect and localize quantitative trait loci (QTL) in the nuclear genome. After correction for multiple testing, we find significant (p < 0.009) mitochondrial genetic contributions to the variance for two latent class variables. Although we do detect significant residual additive genetic correlations between the two traits, there is no evidence of a residual mitochondrial genetic correlation between them. Evidence for autosomal QTL for these traits is improved when linkage screens are conditioned on significant mitochondrial genetic effects. We conclude that mitochondrial genes may contribute to variation in some latent class psychiatric/ behavioral variables associated with alcoholism.
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