2015
DOI: 10.1002/ajpa.22714
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Do nuclear DNA and dental nonmetric data produce similar reconstructions of regional population history? An example from modern coastal Kenya

Abstract: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 2" " ABSTRACT This study investigates whether variants in dental morphology and nuclear DNA provide similar patterns of intergroup affinity among regional populations using biological distance (biodistance) estimates. Many biodistance studies of archaeological populations use skeletal… Show more

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Cited by 57 publications
(42 citation statements)
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References 62 publications
(55 reference statements)
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“…Dental nonmetric traits are particularly useful in detecting relationships between past human groups, because twin and family studies have shown that many of them are under strong genetic control (Alt, 1997;Scott & Turner, 1997). In a recent study, Hubbard et al (2015) showed that relationship patterns among groups based on dental morphology are correlated with those obtained by nuclear DNA. Thus, dental morphology can be used as a proxy for genomic data when none are available.…”
Section: Methodsmentioning
confidence: 98%
See 1 more Smart Citation
“…Dental nonmetric traits are particularly useful in detecting relationships between past human groups, because twin and family studies have shown that many of them are under strong genetic control (Alt, 1997;Scott & Turner, 1997). In a recent study, Hubbard et al (2015) showed that relationship patterns among groups based on dental morphology are correlated with those obtained by nuclear DNA. Thus, dental morphology can be used as a proxy for genomic data when none are available.…”
Section: Methodsmentioning
confidence: 98%
“…In a recent study, Hubbard et al . () showed that relationship patterns among groups based on dental morphology are correlated with those obtained by nuclear DNA. Thus, dental morphology can be used as a proxy for genomic data when none are available.…”
Section: Methodsmentioning
confidence: 99%
“…Recent research has confirmed this and identified congruence in dental phenotypic and neutral genetic datasets from globally distributed populations, with correlations as high as r = 0.635 (Rathmann, Reyes‐Centeno, et al, ). Slightly lower correlations have been found for populations at a regional level, with an agreement of r = 0.500 (Hubbard et al, ). At the within‐population level, mixed results have been found, ranging from moderate to strong concordance (Paul & Stojanowski, , ; Stojanowski & Hubbard, ).…”
Section: Discussionmentioning
confidence: 97%
“…More importantly, tooth form has been proposed to be highly heritable and selectively neutral, thus providing an excellent proxy for neutral genetic data (Hillson, ; Scott & Turner, ). In fact, several recent studies have demonstrated the utility of dental phenotypic data in reconstructing genetic relatedness across human populations on different geographic scales (Hubbard, Guatelli‐Steinberg, & Irish, ; Rathmann et al, ) and even between individuals within a population (Paul & Stojanowski, , ; Ricaut et al, ; Stojanowski & Hubbard, ). Finally, dental phenotypic data can be sampled in a nondestructive, cost‐efficient, and straightforward manner using crown width and length measurements (dental metrics) and visual scoring of crown and root shape variants (dental nonmetric traits).…”
Section: Introductionmentioning
confidence: 99%
“…Tooth morphology is largely under genetic control and is less affected by environmental factors than many other tissue systems (Scott & Turner, 1997;Turner et al, 1991). Dental morphological features are highly genetic, and recent studies show morphological variation corresponds to genetic variation in living and historic populations (Hubbard, Guatelli-Steinberg, & Irish, 2015;Rathmann et al, 2017;Ricaut et al, 2010). Because dental morphology is genetically controlled and comparable through time, it is ideal for use in exploring patterns of biological variation.…”
Section: Biological Distance Analysismentioning
confidence: 99%