Sensitivity of Dental Phenotypic Data for the Identification of Biological Relatives

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Using modern samples of known kin, this paper evaluates two fundamental aspects of kinship analysis in archaeological contexts: (1) choice of data (dental metrics or morphology) and (2) analytical approach (multivariate, distance-based approach or a 'rare trait' analysis). Stone dental casts were analysed from 155 female individuals from four sampling locations in Kenya. Of these 155 individuals, only three pairs were close kin: mother-daughter, sister-sister, and first-cousin-first-cousin dyads. After variable winnowing, inter-individual distances or similarities were calculated using 11 odontometric variables and 25 dental morphological variables. Resulting distance matrices were ordinated in two dimensions using multidimensional scaling. Odontometric data performed relatively well at identifying known relative pairs, but the results were heavily affected by choice of similarity measure (e.g. Euclidean distances vs. Gower coefficients) and pre-analysis data treatments (e.g. raw data vs. principal components). Dental morphological data performed comparably with odontometric data but were slightly less effective. Rare traits were identified and compared among relative pairs for concordance, with mixed results. Rare morphological features were randomly distributed throughout the population and were not exclusively found in close kin. In combination, results indicated the sister-sister dyad was most consistently identified; however, in no analysis were relatives more phenotypically similar than all random pairs of unrelated individuals. A multivariate, distance-based approach was more effective than rare traits at identifying relative pairs, but even under ideal circumstances, there is not enough variation present in the dentition to faithfully identify close relatives in the absence of contextual archaeological data.

Original languageEnglish (US)
JournalInternational Journal of Osteoarchaeology
DOIs
StateAccepted/In press - 2017

Fingerprint

dyad
multidimensional scaling
kinship
Kenya
data analysis
Sister
present
Dyads
Daughters
Kinship
Sampling
Fundamental
Archaeological Context
Multidimensional Scaling
Dentition
Contextual
Archaeology
Concordance
Principal Components

Keywords

  • Biodistance analysis
  • Dental anthropology
  • Dental morphology
  • East Africa
  • Kinship

ASJC Scopus subject areas

  • Archaeology
  • Anthropology
  • Archaeology

Cite this

@article{212f6aa34284442d8aa4406f68a2d537,
title = "Sensitivity of Dental Phenotypic Data for the Identification of Biological Relatives",
abstract = "Using modern samples of known kin, this paper evaluates two fundamental aspects of kinship analysis in archaeological contexts: (1) choice of data (dental metrics or morphology) and (2) analytical approach (multivariate, distance-based approach or a 'rare trait' analysis). Stone dental casts were analysed from 155 female individuals from four sampling locations in Kenya. Of these 155 individuals, only three pairs were close kin: mother-daughter, sister-sister, and first-cousin-first-cousin dyads. After variable winnowing, inter-individual distances or similarities were calculated using 11 odontometric variables and 25 dental morphological variables. Resulting distance matrices were ordinated in two dimensions using multidimensional scaling. Odontometric data performed relatively well at identifying known relative pairs, but the results were heavily affected by choice of similarity measure (e.g. Euclidean distances vs. Gower coefficients) and pre-analysis data treatments (e.g. raw data vs. principal components). Dental morphological data performed comparably with odontometric data but were slightly less effective. Rare traits were identified and compared among relative pairs for concordance, with mixed results. Rare morphological features were randomly distributed throughout the population and were not exclusively found in close kin. In combination, results indicated the sister-sister dyad was most consistently identified; however, in no analysis were relatives more phenotypically similar than all random pairs of unrelated individuals. A multivariate, distance-based approach was more effective than rare traits at identifying relative pairs, but even under ideal circumstances, there is not enough variation present in the dentition to faithfully identify close relatives in the absence of contextual archaeological data.",
keywords = "Biodistance analysis, Dental anthropology, Dental morphology, East Africa, Kinship",
author = "Christopher Stojanowski and Hubbard, {A. R.}",
year = "2017",
doi = "10.1002/oa.2596",
language = "English (US)",
journal = "International Journal of Osteoarchaeology",
issn = "1047-482X",
publisher = "John Wiley and Sons Ltd",

}

TY - JOUR

T1 - Sensitivity of Dental Phenotypic Data for the Identification of Biological Relatives

AU - Stojanowski, Christopher

AU - Hubbard, A. R.

PY - 2017

Y1 - 2017

N2 - Using modern samples of known kin, this paper evaluates two fundamental aspects of kinship analysis in archaeological contexts: (1) choice of data (dental metrics or morphology) and (2) analytical approach (multivariate, distance-based approach or a 'rare trait' analysis). Stone dental casts were analysed from 155 female individuals from four sampling locations in Kenya. Of these 155 individuals, only three pairs were close kin: mother-daughter, sister-sister, and first-cousin-first-cousin dyads. After variable winnowing, inter-individual distances or similarities were calculated using 11 odontometric variables and 25 dental morphological variables. Resulting distance matrices were ordinated in two dimensions using multidimensional scaling. Odontometric data performed relatively well at identifying known relative pairs, but the results were heavily affected by choice of similarity measure (e.g. Euclidean distances vs. Gower coefficients) and pre-analysis data treatments (e.g. raw data vs. principal components). Dental morphological data performed comparably with odontometric data but were slightly less effective. Rare traits were identified and compared among relative pairs for concordance, with mixed results. Rare morphological features were randomly distributed throughout the population and were not exclusively found in close kin. In combination, results indicated the sister-sister dyad was most consistently identified; however, in no analysis were relatives more phenotypically similar than all random pairs of unrelated individuals. A multivariate, distance-based approach was more effective than rare traits at identifying relative pairs, but even under ideal circumstances, there is not enough variation present in the dentition to faithfully identify close relatives in the absence of contextual archaeological data.

AB - Using modern samples of known kin, this paper evaluates two fundamental aspects of kinship analysis in archaeological contexts: (1) choice of data (dental metrics or morphology) and (2) analytical approach (multivariate, distance-based approach or a 'rare trait' analysis). Stone dental casts were analysed from 155 female individuals from four sampling locations in Kenya. Of these 155 individuals, only three pairs were close kin: mother-daughter, sister-sister, and first-cousin-first-cousin dyads. After variable winnowing, inter-individual distances or similarities were calculated using 11 odontometric variables and 25 dental morphological variables. Resulting distance matrices were ordinated in two dimensions using multidimensional scaling. Odontometric data performed relatively well at identifying known relative pairs, but the results were heavily affected by choice of similarity measure (e.g. Euclidean distances vs. Gower coefficients) and pre-analysis data treatments (e.g. raw data vs. principal components). Dental morphological data performed comparably with odontometric data but were slightly less effective. Rare traits were identified and compared among relative pairs for concordance, with mixed results. Rare morphological features were randomly distributed throughout the population and were not exclusively found in close kin. In combination, results indicated the sister-sister dyad was most consistently identified; however, in no analysis were relatives more phenotypically similar than all random pairs of unrelated individuals. A multivariate, distance-based approach was more effective than rare traits at identifying relative pairs, but even under ideal circumstances, there is not enough variation present in the dentition to faithfully identify close relatives in the absence of contextual archaeological data.

KW - Biodistance analysis

KW - Dental anthropology

KW - Dental morphology

KW - East Africa

KW - Kinship

UR - http://www.scopus.com/inward/record.url?scp=85026381555&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85026381555&partnerID=8YFLogxK

U2 - 10.1002/oa.2596

DO - 10.1002/oa.2596

M3 - Article

JO - International Journal of Osteoarchaeology

JF - International Journal of Osteoarchaeology

SN - 1047-482X

ER -