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A novel system for classifying tooth root phenotypes

View ORCID ProfileJason Gellis, Robert Foley
doi: https://doi.org/10.1101/2021.05.07.443073
Jason Gellis
1University of Cambridge
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  • For correspondence: jg760@cam.ac.uk
Robert Foley
1University of Cambridge
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Abstract

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. Our 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.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted May 07, 2021.
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A novel system for classifying tooth root phenotypes
Jason Gellis, Robert Foley
bioRxiv 2021.05.07.443073; doi: https://doi.org/10.1101/2021.05.07.443073
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A novel system for classifying tooth root phenotypes
Jason Gellis, Robert Foley
bioRxiv 2021.05.07.443073; doi: https://doi.org/10.1101/2021.05.07.443073

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