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Sub-clustering in skeletal class III malocclusion phenotypes via principal component analysis in a southern European population
The main aim of this study was to generate an adequate sub-phenotypic clustering model of class III skeletal malocclusion in an adult population of southern European origin. The study design was conducted in two phases, a preliminary cross-sectional study and a subsequent discriminatory evaluation b...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578100/ https://www.ncbi.nlm.nih.gov/pubmed/33087764 http://dx.doi.org/10.1038/s41598-020-74488-w |
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author | de Frutos-Valle, L. Martin, C. Alarcón, J. A. Palma-Fernández, J. C. Ortega, R. Iglesias-Linares, A. |
author_facet | de Frutos-Valle, L. Martin, C. Alarcón, J. A. Palma-Fernández, J. C. Ortega, R. Iglesias-Linares, A. |
author_sort | de Frutos-Valle, L. |
collection | PubMed |
description | The main aim of this study was to generate an adequate sub-phenotypic clustering model of class III skeletal malocclusion in an adult population of southern European origin. The study design was conducted in two phases, a preliminary cross-sectional study and a subsequent discriminatory evaluation by main component and cluster analysis to identify differentiated skeletal sub-groups with differentiated phenotypic characteristics. Radiometric data from 699 adult patients of southern European origin were analyzed in 212 selected subjects affected by class III skeletal malocclusion. The varimax rotation was used with Kaiser normalization, to prevent variables with more explanatory capacity from affecting the rotation. A total of 21,624 radiographic measurements were obtained as part of the cluster model generation, using a total set of 55 skeletal variables for the subsequent analysis of the major component and cluster analyses. Ten main axes were generated representing 92.7% of the total variation. Three main components represented 58.5%, with particular sagittal and vertical variables acting as major descriptors. Post hoc phenotypic clustering retrieved six clusters: C1:9.9%, C2:18.9%, C3:33%, C4:3.77%, C5:16%, and C6:16%. In conclusion, phenotypic variation was found in the southern European skeletal class III population, demonstrating the existence of phenotypic variations between identified clusters in different ethnic groups. |
format | Online Article Text |
id | pubmed-7578100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75781002020-10-23 Sub-clustering in skeletal class III malocclusion phenotypes via principal component analysis in a southern European population de Frutos-Valle, L. Martin, C. Alarcón, J. A. Palma-Fernández, J. C. Ortega, R. Iglesias-Linares, A. Sci Rep Article The main aim of this study was to generate an adequate sub-phenotypic clustering model of class III skeletal malocclusion in an adult population of southern European origin. The study design was conducted in two phases, a preliminary cross-sectional study and a subsequent discriminatory evaluation by main component and cluster analysis to identify differentiated skeletal sub-groups with differentiated phenotypic characteristics. Radiometric data from 699 adult patients of southern European origin were analyzed in 212 selected subjects affected by class III skeletal malocclusion. The varimax rotation was used with Kaiser normalization, to prevent variables with more explanatory capacity from affecting the rotation. A total of 21,624 radiographic measurements were obtained as part of the cluster model generation, using a total set of 55 skeletal variables for the subsequent analysis of the major component and cluster analyses. Ten main axes were generated representing 92.7% of the total variation. Three main components represented 58.5%, with particular sagittal and vertical variables acting as major descriptors. Post hoc phenotypic clustering retrieved six clusters: C1:9.9%, C2:18.9%, C3:33%, C4:3.77%, C5:16%, and C6:16%. In conclusion, phenotypic variation was found in the southern European skeletal class III population, demonstrating the existence of phenotypic variations between identified clusters in different ethnic groups. Nature Publishing Group UK 2020-10-21 /pmc/articles/PMC7578100/ /pubmed/33087764 http://dx.doi.org/10.1038/s41598-020-74488-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article de Frutos-Valle, L. Martin, C. Alarcón, J. A. Palma-Fernández, J. C. Ortega, R. Iglesias-Linares, A. Sub-clustering in skeletal class III malocclusion phenotypes via principal component analysis in a southern European population |
title | Sub-clustering in skeletal class III malocclusion phenotypes via principal component analysis in a southern European population |
title_full | Sub-clustering in skeletal class III malocclusion phenotypes via principal component analysis in a southern European population |
title_fullStr | Sub-clustering in skeletal class III malocclusion phenotypes via principal component analysis in a southern European population |
title_full_unstemmed | Sub-clustering in skeletal class III malocclusion phenotypes via principal component analysis in a southern European population |
title_short | Sub-clustering in skeletal class III malocclusion phenotypes via principal component analysis in a southern European population |
title_sort | sub-clustering in skeletal class iii malocclusion phenotypes via principal component analysis in a southern european population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578100/ https://www.ncbi.nlm.nih.gov/pubmed/33087764 http://dx.doi.org/10.1038/s41598-020-74488-w |
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