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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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Detalles Bibliográficos
Autores principales: Gellis, Jason, Foley, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570528/
https://www.ncbi.nlm.nih.gov/pubmed/34739489
http://dx.doi.org/10.1371/journal.pone.0251953
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author Gellis, Jason
Foley, Robert
author_facet Gellis, Jason
Foley, Robert
author_sort Gellis, Jason
collection PubMed
description 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.
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spelling pubmed-85705282021-11-06 A novel system for classifying tooth root phenotypes Gellis, Jason Foley, Robert PLoS One Research Article 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. Public Library of Science 2021-11-05 /pmc/articles/PMC8570528/ /pubmed/34739489 http://dx.doi.org/10.1371/journal.pone.0251953 Text en © 2021 Gellis, Foley https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gellis, Jason
Foley, Robert
A novel system for classifying tooth root phenotypes
title 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_short A novel system for classifying tooth root phenotypes
title_sort novel system for classifying tooth root phenotypes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570528/
https://www.ncbi.nlm.nih.gov/pubmed/34739489
http://dx.doi.org/10.1371/journal.pone.0251953
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