An integrated analysis of genes and functional pathways for aggression in human and rodent models
Human genome-wide association studies (GWAS), transcriptome analyses of animal models, and candidate gene studies have advanced our understanding of the genetic architecture of aggressive behaviors. However, each of these methods presents unique limitations. To generate a more confident and comprehe...
| Autores: | , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universidad de Barcelona |
| Repositorio: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/166860 |
| Acceso en línea: | https://hdl.handle.net/2445/166860 |
| Access Level: | acceso abierto |
| Palabra clave: | Genètica Agressivitat Genetics Aggressiveness |
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An integrated analysis of genes and functional pathways for aggression in human and rodent modelsZhang-James, YanliFernàndez Castillo, NoèliaHess, Jonathan L.Malki, KarimGlatt, Stephen J.Cormand Rifà, BruFaraone, Stephen V.GenèticaAgressivitatGeneticsAggressivenessHuman genome-wide association studies (GWAS), transcriptome analyses of animal models, and candidate gene studies have advanced our understanding of the genetic architecture of aggressive behaviors. However, each of these methods presents unique limitations. To generate a more confident and comprehensive view of the complex genetics underlying aggression, we undertook an integrated, cross-species approach. We focused on human and rodent models to derive eight gene lists from three main categories of genetic evidence: two sets of genes identified in GWAS studies, four sets implicated by transcriptome-wide studies of rodent models, and two sets of genes with causal evidence from online Mendelian inheritance in man (OMIM) and knockout (KO) mice reports. These gene sets were evaluated for overlap and pathway enrichment to extract their similarities and differences. We identified enriched common pathways such as the G-protein coupled receptor (GPCR) signaling pathway, axon guidance, reelin signaling in neurons, and ERK/MAPK signaling. Also, individual genes were ranked based on their cumulative weights to quantify their importance as risk factors for aggressive behavior, which resulted in 40 top-ranked and highly interconnected genes. The results of our cross-species and integrated approach provide insights into the genetic etiology of aggression.Nature Publishing Group2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2445/166860Articles publicats en revistes (Genètica, Microbiologia i Estadística)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésVersió postprint del document publicat a: https://doi.org/10.1038/s41380-018-0068-7Molecular Psychiatry, 2018, vol. 24, num. 11, p. 1655-1666https://doi.org/10.1038/s41380-018-0068-7info:eu-repo/grantAgreement/EC/H2020/667302(c) Zhang-James, Yanli et al., 2018info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1668602026-05-27T06:46:51Z |
| dc.title.none.fl_str_mv |
An integrated analysis of genes and functional pathways for aggression in human and rodent models |
| title |
An integrated analysis of genes and functional pathways for aggression in human and rodent models |
| spellingShingle |
An integrated analysis of genes and functional pathways for aggression in human and rodent models Zhang-James, Yanli Genètica Agressivitat Genetics Aggressiveness |
| title_short |
An integrated analysis of genes and functional pathways for aggression in human and rodent models |
| title_full |
An integrated analysis of genes and functional pathways for aggression in human and rodent models |
| title_fullStr |
An integrated analysis of genes and functional pathways for aggression in human and rodent models |
| title_full_unstemmed |
An integrated analysis of genes and functional pathways for aggression in human and rodent models |
| title_sort |
An integrated analysis of genes and functional pathways for aggression in human and rodent models |
| dc.creator.none.fl_str_mv |
Zhang-James, Yanli Fernàndez Castillo, Noèlia Hess, Jonathan L. Malki, Karim Glatt, Stephen J. Cormand Rifà, Bru Faraone, Stephen V. |
| author |
Zhang-James, Yanli |
| author_facet |
Zhang-James, Yanli Fernàndez Castillo, Noèlia Hess, Jonathan L. Malki, Karim Glatt, Stephen J. Cormand Rifà, Bru Faraone, Stephen V. |
| author_role |
author |
| author2 |
Fernàndez Castillo, Noèlia Hess, Jonathan L. Malki, Karim Glatt, Stephen J. Cormand Rifà, Bru Faraone, Stephen V. |
| author2_role |
author author author author author author |
| dc.subject.none.fl_str_mv |
Genètica Agressivitat Genetics Aggressiveness |
| topic |
Genètica Agressivitat Genetics Aggressiveness |
| description |
Human genome-wide association studies (GWAS), transcriptome analyses of animal models, and candidate gene studies have advanced our understanding of the genetic architecture of aggressive behaviors. However, each of these methods presents unique limitations. To generate a more confident and comprehensive view of the complex genetics underlying aggression, we undertook an integrated, cross-species approach. We focused on human and rodent models to derive eight gene lists from three main categories of genetic evidence: two sets of genes identified in GWAS studies, four sets implicated by transcriptome-wide studies of rodent models, and two sets of genes with causal evidence from online Mendelian inheritance in man (OMIM) and knockout (KO) mice reports. These gene sets were evaluated for overlap and pathway enrichment to extract their similarities and differences. We identified enriched common pathways such as the G-protein coupled receptor (GPCR) signaling pathway, axon guidance, reelin signaling in neurons, and ERK/MAPK signaling. Also, individual genes were ranked based on their cumulative weights to quantify their importance as risk factors for aggressive behavior, which resulted in 40 top-ranked and highly interconnected genes. The results of our cross-species and integrated approach provide insights into the genetic etiology of aggression. |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion |
| format |
article |
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acceptedVersion |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2445/166860 |
| url |
https://hdl.handle.net/2445/166860 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Versió postprint del document publicat a: https://doi.org/10.1038/s41380-018-0068-7 Molecular Psychiatry, 2018, vol. 24, num. 11, p. 1655-1666 https://doi.org/10.1038/s41380-018-0068-7 info:eu-repo/grantAgreement/EC/H2020/667302 |
| dc.rights.none.fl_str_mv |
(c) Zhang-James, Yanli et al., 2018 info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
(c) Zhang-James, Yanli et al., 2018 |
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openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Nature Publishing Group |
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Nature Publishing Group |
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Articles publicats en revistes (Genètica, Microbiologia i Estadística) reponame:Dipòsit Digital de la UB instname:Universidad de Barcelona |
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Universidad de Barcelona |
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Dipòsit Digital de la UB |
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Dipòsit Digital de la UB |
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15.300719 |