Graphics for relatedness research

Studies of relatedness have been crucial in molecular ecology over the last decades. Good evidence of this is the fact that studies of population structure, evolution of social behaviours, genetic diversity and quantitative genetics all involve relatedness research. The main aim of this article was...

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Detalhes bibliográficos
Autores: Galván Femenía, Iván, Graffelman, Jan, Barceló i Vidal, Carles
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/14147
Acesso em linha:http://hdl.handle.net/10256/14147
Access Level:acceso abierto
Palavra-chave:Anàlisi multivariable
Multivariate analysis
Correlació (Estadística)
Correlation (Statistics)
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spelling Graphics for relatedness researchGalván Femenía, IvánGraffelman, JanBarceló i Vidal, CarlesAnàlisi multivariableMultivariate analysisCorrelació (Estadística)Correlation (Statistics)Studies of relatedness have been crucial in molecular ecology over the last decades. Good evidence of this is the fact that studies of population structure, evolution of social behaviours, genetic diversity and quantitative genetics all involve relatedness research. The main aim of this article was to review the most common graphical methods used in allele sharing studies for detecting and identifying family relationships. Both IBS- and IBD-based allele sharing studies are considered. Furthermore, we propose two additional graphical methods from the field of compositional data analysis: the ternary diagram and scatterplots of isometric log-ratios of IBS and IBD probabilities. We illustrate all graphical tools with genetic data from the HGDP-CEPH diversity panel, using mainly 377 microsatellites genotyped for 25 individuals from the Maya population of this panel. We enhance all graphics with convex hulls obtained by simulation and use these to confirm the documented relationships. The proposed compositional graphics are shown to be useful in relatedness research, as they also single out the most prominent related pairs. The ternary diagram is advocated for its ability to display all three allele sharing probabilities simultaneously. The log-ratio plots are advocated as an attempt to overcome the problems with the Euclidean distance interpretation in the classical graphicsWileyMinisterio de Economía y Competitividad (Espanya)2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10256/14147http://hdl.handle.net/10256/14147Molecular Ecology Resources, 2017, vol. 17, núm. 6, p. 1271-1282Articles publicats (D-IMA)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/semantics/altIdentifier/doi/10.1111/1755-0998.12674info:eu-repo/semantics/altIdentifier/issn/1755-098Xinfo:eu-repo/grantAgreement/MINECO//MTM2015-65016-C2-1-RAttribution 4.0 Spainhttp://creativecommons.org/licenses/by/4.0/es/info:eu-repo/semantics/openAccessoai:recercat.cat:10256/141472026-05-29T05:05:01Z
dc.title.none.fl_str_mv Graphics for relatedness research
title Graphics for relatedness research
spellingShingle Graphics for relatedness research
Galván Femenía, Iván
Anàlisi multivariable
Multivariate analysis
Correlació (Estadística)
Correlation (Statistics)
title_short Graphics for relatedness research
title_full Graphics for relatedness research
title_fullStr Graphics for relatedness research
title_full_unstemmed Graphics for relatedness research
title_sort Graphics for relatedness research
dc.creator.none.fl_str_mv Galván Femenía, Iván
Graffelman, Jan
Barceló i Vidal, Carles
author Galván Femenía, Iván
author_facet Galván Femenía, Iván
Graffelman, Jan
Barceló i Vidal, Carles
author_role author
author2 Graffelman, Jan
Barceló i Vidal, Carles
author2_role author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (Espanya)
dc.subject.none.fl_str_mv Anàlisi multivariable
Multivariate analysis
Correlació (Estadística)
Correlation (Statistics)
topic Anàlisi multivariable
Multivariate analysis
Correlació (Estadística)
Correlation (Statistics)
description Studies of relatedness have been crucial in molecular ecology over the last decades. Good evidence of this is the fact that studies of population structure, evolution of social behaviours, genetic diversity and quantitative genetics all involve relatedness research. The main aim of this article was to review the most common graphical methods used in allele sharing studies for detecting and identifying family relationships. Both IBS- and IBD-based allele sharing studies are considered. Furthermore, we propose two additional graphical methods from the field of compositional data analysis: the ternary diagram and scatterplots of isometric log-ratios of IBS and IBD probabilities. We illustrate all graphical tools with genetic data from the HGDP-CEPH diversity panel, using mainly 377 microsatellites genotyped for 25 individuals from the Maya population of this panel. We enhance all graphics with convex hulls obtained by simulation and use these to confirm the documented relationships. The proposed compositional graphics are shown to be useful in relatedness research, as they also single out the most prominent related pairs. The ternary diagram is advocated for its ability to display all three allele sharing probabilities simultaneously. The log-ratio plots are advocated as an attempt to overcome the problems with the Euclidean distance interpretation in the classical graphics
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10256/14147
http://hdl.handle.net/10256/14147
url http://hdl.handle.net/10256/14147
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/1755-0998.12674
info:eu-repo/semantics/altIdentifier/issn/1755-098X
info:eu-repo/grantAgreement/MINECO//MTM2015-65016-C2-1-R
dc.rights.none.fl_str_mv Attribution 4.0 Spain
http://creativecommons.org/licenses/by/4.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 Spain
http://creativecommons.org/licenses/by/4.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv Molecular Ecology Resources, 2017, vol. 17, núm. 6, p. 1271-1282
Articles publicats (D-IMA)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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