A novel system for classifying tooth root phenotypes
Human root and canal number and morphology are highly variable, and internal root canal form and count does not necessarily co-vary directly with external morphology. While several typologies and classifications have been developed to address individual components of teeth, there is a need for a com...
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Public Library of Science (PLoS)
2021
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oai:doaj.org-article:310a3bb98b0a43bbaf5bff855e4cbf3c2021-11-11T08:14:53ZA novel system for classifying tooth root phenotypes1932-6203https://doaj.org/article/310a3bb98b0a43bbaf5bff855e4cbf3c2021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570528/?tool=EBIhttps://doaj.org/toc/1932-6203Human root and canal number and morphology are highly variable, and internal root canal form and count does not necessarily co-vary directly with external morphology. While several typologies and classifications have been developed to address individual components of teeth, there is a need for a comprehensive system, that captures internal and external root features across all teeth. Using CT scans, the external and internal root morphologies of a global sample of humans are analysed (n = 945). From this analysis a method of classification that captures external and internal root morphology in a way that is intuitive, reproducible, and defines the human phenotypic set is developed. Results provide a robust definition of modern human tooth root phenotypic diversity. The method is modular in nature, allowing for incorporation of past and future classification systems. Additionally, it provides a basis for analysing hominin root morphology in evolutionary, ecological, genetic, and developmental contexts.Jason GellisRobert FoleyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021) |
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Medicine R Science Q Jason Gellis Robert Foley A novel system for classifying tooth root phenotypes |
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Human root and canal number and morphology are highly variable, and internal root canal form and count does not necessarily co-vary directly with external morphology. While several typologies and classifications have been developed to address individual components of teeth, there is a need for a comprehensive system, that captures internal and external root features across all teeth. Using CT scans, the external and internal root morphologies of a global sample of humans are analysed (n = 945). From this analysis a method of classification that captures external and internal root morphology in a way that is intuitive, reproducible, and defines the human phenotypic set is developed. Results provide a robust definition of modern human tooth root phenotypic diversity. The method is modular in nature, allowing for incorporation of past and future classification systems. Additionally, it provides a basis for analysing hominin root morphology in evolutionary, ecological, genetic, and developmental contexts. |
format |
article |
author |
Jason Gellis Robert Foley |
author_facet |
Jason Gellis Robert Foley |
author_sort |
Jason Gellis |
title |
A novel system for classifying tooth root phenotypes |
title_short |
A novel system for classifying tooth root phenotypes |
title_full |
A novel system for classifying tooth root phenotypes |
title_fullStr |
A novel system for classifying tooth root phenotypes |
title_full_unstemmed |
A novel system for classifying tooth root phenotypes |
title_sort |
novel system for classifying tooth root phenotypes |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/310a3bb98b0a43bbaf5bff855e4cbf3c |
work_keys_str_mv |
AT jasongellis anovelsystemforclassifyingtoothrootphenotypes AT robertfoley anovelsystemforclassifyingtoothrootphenotypes AT jasongellis novelsystemforclassifyingtoothrootphenotypes AT robertfoley novelsystemforclassifyingtoothrootphenotypes |
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