Kinship and morphological similarity in the skeletal remains of individuals with known genealogical data (Bohemia, 19th to 20th centuries): A new methodological approach
Language English Country United States Media print-electronic
Document type Historical Article, Journal Article, Research Support, Non-U.S. Gov't
Grant support
DKRVO 2018/17, National Museum
Ministry of Culture of the Czech Republic - International
GAUK 1276217
Grant Agency of Charles University - International
NAZV QJ1510141
The National Agency for the Agricultural Research - International
PubMed
30129146
DOI
10.1002/ajpa.23683
Knihovny.cz E-resources
- Keywords
- genealogical documented sample, inbreeding, kinship analysis, morphological nonmetric traits, similarity coefficient,
- MeSH
- Anthropology, Physical methods MeSH
- Anthropometry MeSH
- White People * MeSH
- History, 19th Century MeSH
- History, 20th Century MeSH
- Adult MeSH
- Genealogy and Heraldry * MeSH
- Inbreeding MeSH
- Middle Aged MeSH
- Humans MeSH
- Young Adult MeSH
- Family * MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Check Tag
- History, 19th Century MeSH
- History, 20th Century MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Young Adult MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Historical Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Czech Republic MeSH
OBJECTIVES: This article proposes a new approach, called the "similarity coefficient" (SC) for verifying family relationships from skeletal remains using nonmetric traits. Based on this method and further analyses, the authors aim to show the degree of similarity between individuals with varying degrees of kinship, including inbred individuals. MATERIALS AND METHODS: Our sample includes the skeletal remains of 34 individuals with known genealogical data (four generations, 19th to 20th centuries). A total of 243 skeletal nonmetric traits were evaluated with respect to their anatomical characteristics. The SC was calculated by quantifying the agreement of trait occurrence between individuals. We also identified the traits that support the biological relationships of particular individuals by accounting for their population frequencies. RESULTS: There was a positive correlation between the morphological similarity of biologically related individuals and their biological distance. In some cases, we found greater degree of morphological similarity between first cousins than among other close relatives such as parents and children. At the same time, there was no statistically significant difference in the degree of similarity between inbred individuals and common relatives. Proven family relationships were best reflected by cranial traits, especially bone bridges associated with the courses of blood vessels and nerves. CONCLUSIONS: The use of skeletal nonmetric traits for the detection of relatives is possible. There is a relationship between biological distance and the degree of morphological similarity in related individuals. It also appears that inbreeding, despite previous assumptions, does not lead to a significant reduction in morphological variation.
Czech University of Life Sciences Prague Czech Republic
Department of Anthropology and Human Genetics Faculty of Science Charles University Czech Republic
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