Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integration
- Autores
- González José, Rolando; Van Der Molen, Silvina; González Perez, Emili; Hernández, Miquel
- Año de publicación
- 2003
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Proportionality of phenotypic and genetic distance is of crucial importance to adequately focus on population history and structure, and depends on proportionality of genetic and phenotypic covariance. Constancy of phenotypic covariances is unlikely without constancy of genetic covariation if the later is a substantial component of the former. If phenotypic patterns are found to be relatively stable, the most probable explanation is that genetic covariance matrices are also stable. Factors like morphological integration account for such stability. Morphological integration can be studied by analyzing the relationships among morphological traits. We present here a comparison of phenotypic correlation and covariance structure among worldwide human populations. Correlation and covariance matrices between 47 cranial traits were obtained for 28 populations, and compared with design matrices representing functional and developmental constraints. Among-population differences in patterns of correlation and covariation were tested for association with matrices of genetic distances (obtained after an examination of 10 ALU-insertions) and with Mahalanobis distances (computed after cranial traits). All matrix correlations were estimated by means of Mantel tests. Results indicate that correlation and covariance structure in our species is stable and that among-group correlation/covariance similarity is not related with genetic or phenotypic distance. Conversely, genetic and morphological distance matrices were highly correlated. Correlation and covariation patterns were largely associated with functional and developmental factors, which probably account for the stability of covariance patterns.
Fil: González José, Rolando. Universitat Autònoma de Barcelona; España. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico; Argentina
Fil: Van Der Molen, Silvina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico; Argentina. Universitat Autònoma de Barcelona; España
Fil: González Perez, Emili. Universitat Autònoma de Barcelona; España
Fil: Hernández, Miquel. Universitat Autònoma de Barcelona; España - Materia
-
CRANIOMETRICS
COVARIANCE MATRICES
MOLECULAR DISTANCES
MORPHOLOGICAL DISTANCES - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/104163
Ver los metadatos del registro completo
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Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integrationGonzález José, RolandoVan Der Molen, SilvinaGonzález Perez, EmiliHernández, MiquelCRANIOMETRICSCOVARIANCE MATRICESMOLECULAR DISTANCESMORPHOLOGICAL DISTANCEShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Proportionality of phenotypic and genetic distance is of crucial importance to adequately focus on population history and structure, and depends on proportionality of genetic and phenotypic covariance. Constancy of phenotypic covariances is unlikely without constancy of genetic covariation if the later is a substantial component of the former. If phenotypic patterns are found to be relatively stable, the most probable explanation is that genetic covariance matrices are also stable. Factors like morphological integration account for such stability. Morphological integration can be studied by analyzing the relationships among morphological traits. We present here a comparison of phenotypic correlation and covariance structure among worldwide human populations. Correlation and covariance matrices between 47 cranial traits were obtained for 28 populations, and compared with design matrices representing functional and developmental constraints. Among-population differences in patterns of correlation and covariation were tested for association with matrices of genetic distances (obtained after an examination of 10 ALU-insertions) and with Mahalanobis distances (computed after cranial traits). All matrix correlations were estimated by means of Mantel tests. Results indicate that correlation and covariance structure in our species is stable and that among-group correlation/covariance similarity is not related with genetic or phenotypic distance. Conversely, genetic and morphological distance matrices were highly correlated. Correlation and covariation patterns were largely associated with functional and developmental factors, which probably account for the stability of covariance patterns.Fil: González José, Rolando. Universitat Autònoma de Barcelona; España. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico; ArgentinaFil: Van Der Molen, Silvina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico; Argentina. Universitat Autònoma de Barcelona; EspañaFil: González Perez, Emili. Universitat Autònoma de Barcelona; EspañaFil: Hernández, Miquel. Universitat Autònoma de Barcelona; EspañaWiley-liss, Div John Wiley & Sons Inc2003-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/104163González José, Rolando; Van Der Molen, Silvina; González Perez, Emili; Hernández, Miquel; Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integration; Wiley-liss, Div John Wiley & Sons Inc; American Journal Of Physical Anthropology; 123; 1; 5-2003; 69-770002-94831096-8644CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1002/ajpa.10302info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/ajpa.10302info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:46:37Zoai:ri.conicet.gov.ar:11336/104163instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:46:38.045CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integration |
title |
Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integration |
spellingShingle |
Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integration González José, Rolando CRANIOMETRICS COVARIANCE MATRICES MOLECULAR DISTANCES MORPHOLOGICAL DISTANCES |
title_short |
Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integration |
title_full |
Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integration |
title_fullStr |
Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integration |
title_full_unstemmed |
Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integration |
title_sort |
Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integration |
dc.creator.none.fl_str_mv |
González José, Rolando Van Der Molen, Silvina González Perez, Emili Hernández, Miquel |
author |
González José, Rolando |
author_facet |
González José, Rolando Van Der Molen, Silvina González Perez, Emili Hernández, Miquel |
author_role |
author |
author2 |
Van Der Molen, Silvina González Perez, Emili Hernández, Miquel |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
CRANIOMETRICS COVARIANCE MATRICES MOLECULAR DISTANCES MORPHOLOGICAL DISTANCES |
topic |
CRANIOMETRICS COVARIANCE MATRICES MOLECULAR DISTANCES MORPHOLOGICAL DISTANCES |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Proportionality of phenotypic and genetic distance is of crucial importance to adequately focus on population history and structure, and depends on proportionality of genetic and phenotypic covariance. Constancy of phenotypic covariances is unlikely without constancy of genetic covariation if the later is a substantial component of the former. If phenotypic patterns are found to be relatively stable, the most probable explanation is that genetic covariance matrices are also stable. Factors like morphological integration account for such stability. Morphological integration can be studied by analyzing the relationships among morphological traits. We present here a comparison of phenotypic correlation and covariance structure among worldwide human populations. Correlation and covariance matrices between 47 cranial traits were obtained for 28 populations, and compared with design matrices representing functional and developmental constraints. Among-population differences in patterns of correlation and covariation were tested for association with matrices of genetic distances (obtained after an examination of 10 ALU-insertions) and with Mahalanobis distances (computed after cranial traits). All matrix correlations were estimated by means of Mantel tests. Results indicate that correlation and covariance structure in our species is stable and that among-group correlation/covariance similarity is not related with genetic or phenotypic distance. Conversely, genetic and morphological distance matrices were highly correlated. Correlation and covariation patterns were largely associated with functional and developmental factors, which probably account for the stability of covariance patterns. Fil: González José, Rolando. Universitat Autònoma de Barcelona; España. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico; Argentina Fil: Van Der Molen, Silvina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico; Argentina. Universitat Autònoma de Barcelona; España Fil: González Perez, Emili. Universitat Autònoma de Barcelona; España Fil: Hernández, Miquel. Universitat Autònoma de Barcelona; España |
description |
Proportionality of phenotypic and genetic distance is of crucial importance to adequately focus on population history and structure, and depends on proportionality of genetic and phenotypic covariance. Constancy of phenotypic covariances is unlikely without constancy of genetic covariation if the later is a substantial component of the former. If phenotypic patterns are found to be relatively stable, the most probable explanation is that genetic covariance matrices are also stable. Factors like morphological integration account for such stability. Morphological integration can be studied by analyzing the relationships among morphological traits. We present here a comparison of phenotypic correlation and covariance structure among worldwide human populations. Correlation and covariance matrices between 47 cranial traits were obtained for 28 populations, and compared with design matrices representing functional and developmental constraints. Among-population differences in patterns of correlation and covariation were tested for association with matrices of genetic distances (obtained after an examination of 10 ALU-insertions) and with Mahalanobis distances (computed after cranial traits). All matrix correlations were estimated by means of Mantel tests. Results indicate that correlation and covariance structure in our species is stable and that among-group correlation/covariance similarity is not related with genetic or phenotypic distance. Conversely, genetic and morphological distance matrices were highly correlated. Correlation and covariation patterns were largely associated with functional and developmental factors, which probably account for the stability of covariance patterns. |
publishDate |
2003 |
dc.date.none.fl_str_mv |
2003-05 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/104163 González José, Rolando; Van Der Molen, Silvina; González Perez, Emili; Hernández, Miquel; Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integration; Wiley-liss, Div John Wiley & Sons Inc; American Journal Of Physical Anthropology; 123; 1; 5-2003; 69-77 0002-9483 1096-8644 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/104163 |
identifier_str_mv |
González José, Rolando; Van Der Molen, Silvina; González Perez, Emili; Hernández, Miquel; Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integration; Wiley-liss, Div John Wiley & Sons Inc; American Journal Of Physical Anthropology; 123; 1; 5-2003; 69-77 0002-9483 1096-8644 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1002/ajpa.10302 info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/ajpa.10302 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Wiley-liss, Div John Wiley & Sons Inc |
publisher.none.fl_str_mv |
Wiley-liss, Div John Wiley & Sons Inc |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844613456437706752 |
score |
13.070432 |