A New Quantitative Method for Predicting Forensic Racial Identity Based on Dental Morphological Trait Analysis

Few previous studies have demonstrated the likelihood of using the worldwide patterns of dental morphological variation in prediction of ancestry in the context of forensic dental anthropology. This paper introduces a new quantitative method for predicting forensic racial identity of individual spec...

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Autor principal:	Alsoleihat,Firas
Lenguaje:	English
Publicado:	Sociedad Chilena de Anatomía 2013
Materias:	forensic dental anthropology non-metric tooth crown traits racial identification
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022013000200009
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spelling	oai:scielo:S0717-950220130002000092014-09-09A New Quantitative Method for Predicting Forensic Racial Identity Based on Dental Morphological Trait AnalysisAlsoleihat,Firas forensic dental anthropology non-metric tooth crown traits racial identification Few previous studies have demonstrated the likelihood of using the worldwide patterns of dental morphological variation in prediction of ancestry in the context of forensic dental anthropology. This paper introduces a new quantitative method for predicting forensic racial identity of individual specimens based on dental morphological trait analysis. In this study, the inter-population variation in the expression frequency of 16 non-metric tooth crown traits, manifested on the permanent dentition, was used for analysis. The method was developed from the notion that dental morphological characteristics, when viewed as sets of traits rather than isolated variables, can be utilized to calculate the relative probability that an individual belongs to a particular ancestry. This paper aimed at demonstrating that Mean Measure of Divergence analysis can be used to predict group membership of individual specimens into one of five ancestral categories: Western Eurasian, Sub-Saharan African, Sino-American, Sunda-Pacific, or Australo-Melanesian. Individuals were treated as artificially created groups defined by substituting the highest or lowest global frequencies for individual dichotomous values. Mean Measure of Divergence values were computed for every individual and the lowest score was the basis of the classification of individual specimens into one of five ancestral categories. This method was tested on individuals from a sample of living Jordanian Arabs (n 102), who were known to belong to the Western Eurasian ancestral category. Using this method, correct assignment of ancestry was made in 84.31% of cases. It is concluded that racial identification on the basis of dental morphology would be helpful in both forensic anthropology and historical archaeology.info:eu-repo/semantics/openAccessSociedad Chilena de AnatomíaInternational Journal of Morphology v.31 n.2 20132013-06-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022013000200009en10.4067/S0717-95022013000200009
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	forensic dental anthropology non-metric tooth crown traits racial identification
spellingShingle	forensic dental anthropology non-metric tooth crown traits racial identification Alsoleihat,Firas A New Quantitative Method for Predicting Forensic Racial Identity Based on Dental Morphological Trait Analysis
description	Few previous studies have demonstrated the likelihood of using the worldwide patterns of dental morphological variation in prediction of ancestry in the context of forensic dental anthropology. This paper introduces a new quantitative method for predicting forensic racial identity of individual specimens based on dental morphological trait analysis. In this study, the inter-population variation in the expression frequency of 16 non-metric tooth crown traits, manifested on the permanent dentition, was used for analysis. The method was developed from the notion that dental morphological characteristics, when viewed as sets of traits rather than isolated variables, can be utilized to calculate the relative probability that an individual belongs to a particular ancestry. This paper aimed at demonstrating that Mean Measure of Divergence analysis can be used to predict group membership of individual specimens into one of five ancestral categories: Western Eurasian, Sub-Saharan African, Sino-American, Sunda-Pacific, or Australo-Melanesian. Individuals were treated as artificially created groups defined by substituting the highest or lowest global frequencies for individual dichotomous values. Mean Measure of Divergence values were computed for every individual and the lowest score was the basis of the classification of individual specimens into one of five ancestral categories. This method was tested on individuals from a sample of living Jordanian Arabs (n 102), who were known to belong to the Western Eurasian ancestral category. Using this method, correct assignment of ancestry was made in 84.31% of cases. It is concluded that racial identification on the basis of dental morphology would be helpful in both forensic anthropology and historical archaeology.
author	Alsoleihat,Firas
author_facet	Alsoleihat,Firas
author_sort	Alsoleihat,Firas
title	A New Quantitative Method for Predicting Forensic Racial Identity Based on Dental Morphological Trait Analysis
title_short	A New Quantitative Method for Predicting Forensic Racial Identity Based on Dental Morphological Trait Analysis
title_full	A New Quantitative Method for Predicting Forensic Racial Identity Based on Dental Morphological Trait Analysis
title_fullStr	A New Quantitative Method for Predicting Forensic Racial Identity Based on Dental Morphological Trait Analysis
title_full_unstemmed	A New Quantitative Method for Predicting Forensic Racial Identity Based on Dental Morphological Trait Analysis
title_sort	new quantitative method for predicting forensic racial identity based on dental morphological trait analysis
publisher	Sociedad Chilena de Anatomía
publishDate	2013
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022013000200009
work_keys_str_mv	AT alsoleihatfiras anewquantitativemethodforpredictingforensicracialidentitybasedondentalmorphologicaltraitanalysis AT alsoleihatfiras newquantitativemethodforpredictingforensicracialidentitybasedondentalmorphologicaltraitanalysis
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A New Quantitative Method for Predicting Forensic Racial Identity Based on Dental Morphological Trait Analysis

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