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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/104163

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network_name_str CONICET Digital (CONICET)
spelling 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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