ADGRL3 (LPHN3) variants predict substance use disorder
ABSTRACT: Genetic factors are strongly implicated in the susceptibility to develop externalizing syndromes such as attentiondeficit/hyperactivity disorder (ADHD), oppositional defiant disorder, conduct disorder, and substance use disorder (SUD). Variants in the ADGRL3 (LPHN3) gene predispose to ADHD...
- Autores:
-
Arcos Burgos, Oscar Mauricio
Vélez, Jorge I.
Martínez, Ariel F.
Ribasés, Marta
Ramos Quiroga, Josep A.
Sánchez Mora, Cristina
Richarte, Vanesa
Roncero, Carlos
Cormand, Bru
Fernández Castillo, Noelia
Casas, Miguel
Lopera Restrepo, Francisco Javier
Pineda Salazar, David Antonio
Palacio Ortiz, Juan David
Acosta López, Johan E.
Cervantes Henriquez, Martha
Sánchez Rojas, Manuel G.
Puentes Rozo, Pedro J.
Molina, Brooke S. G
Boden, Margaret T.
Wallis, Deeann
Lidbury, Brett
Newman, Saul
Easteal, Simon
Swanson, James
Patel, Hardip
Volkow, Nora
Acosta, Maria T.
Castellanos, Francisco X.
de Leon, Jose
Mastronardi, Claudio A.
Muenke, Maximilian
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2019
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/32753
- Acceso en línea:
- https://hdl.handle.net/10495/32753
- Palabra clave:
- Attention Deficit Disorder with Hyperactivity
Trastorno por Déficit de Atención con Hiperactividad
Attention Deficit and Disruptive Behavior Disorders
Déficit de la Atención y Trastornos de Conducta Disruptiva
Substance-Related Disorders
Trastornos Relacionados con Sustancias
Conduct Disorder
Trastorno de la Conducta
Genetics
Genética
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by/2.5/co/
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oai:bibliotecadigital.udea.edu.co:10495/32753 |
network_acronym_str |
UDEA2 |
network_name_str |
Repositorio UdeA |
repository_id_str |
|
dc.title.spa.fl_str_mv |
ADGRL3 (LPHN3) variants predict substance use disorder |
title |
ADGRL3 (LPHN3) variants predict substance use disorder |
spellingShingle |
ADGRL3 (LPHN3) variants predict substance use disorder Attention Deficit Disorder with Hyperactivity Trastorno por Déficit de Atención con Hiperactividad Attention Deficit and Disruptive Behavior Disorders Déficit de la Atención y Trastornos de Conducta Disruptiva Substance-Related Disorders Trastornos Relacionados con Sustancias Conduct Disorder Trastorno de la Conducta Genetics Genética |
title_short |
ADGRL3 (LPHN3) variants predict substance use disorder |
title_full |
ADGRL3 (LPHN3) variants predict substance use disorder |
title_fullStr |
ADGRL3 (LPHN3) variants predict substance use disorder |
title_full_unstemmed |
ADGRL3 (LPHN3) variants predict substance use disorder |
title_sort |
ADGRL3 (LPHN3) variants predict substance use disorder |
dc.creator.fl_str_mv |
Arcos Burgos, Oscar Mauricio Vélez, Jorge I. Martínez, Ariel F. Ribasés, Marta Ramos Quiroga, Josep A. Sánchez Mora, Cristina Richarte, Vanesa Roncero, Carlos Cormand, Bru Fernández Castillo, Noelia Casas, Miguel Lopera Restrepo, Francisco Javier Pineda Salazar, David Antonio Palacio Ortiz, Juan David Acosta López, Johan E. Cervantes Henriquez, Martha Sánchez Rojas, Manuel G. Puentes Rozo, Pedro J. Molina, Brooke S. G Boden, Margaret T. Wallis, Deeann Lidbury, Brett Newman, Saul Easteal, Simon Swanson, James Patel, Hardip Volkow, Nora Acosta, Maria T. Castellanos, Francisco X. de Leon, Jose Mastronardi, Claudio A. Muenke, Maximilian |
dc.contributor.author.none.fl_str_mv |
Arcos Burgos, Oscar Mauricio Vélez, Jorge I. Martínez, Ariel F. Ribasés, Marta Ramos Quiroga, Josep A. Sánchez Mora, Cristina Richarte, Vanesa Roncero, Carlos Cormand, Bru Fernández Castillo, Noelia Casas, Miguel Lopera Restrepo, Francisco Javier Pineda Salazar, David Antonio Palacio Ortiz, Juan David Acosta López, Johan E. Cervantes Henriquez, Martha Sánchez Rojas, Manuel G. Puentes Rozo, Pedro J. Molina, Brooke S. G Boden, Margaret T. Wallis, Deeann Lidbury, Brett Newman, Saul Easteal, Simon Swanson, James Patel, Hardip Volkow, Nora Acosta, Maria T. Castellanos, Francisco X. de Leon, Jose Mastronardi, Claudio A. Muenke, Maximilian |
dc.subject.decs.none.fl_str_mv |
Attention Deficit Disorder with Hyperactivity Trastorno por Déficit de Atención con Hiperactividad Attention Deficit and Disruptive Behavior Disorders Déficit de la Atención y Trastornos de Conducta Disruptiva Substance-Related Disorders Trastornos Relacionados con Sustancias Conduct Disorder Trastorno de la Conducta Genetics Genética |
topic |
Attention Deficit Disorder with Hyperactivity Trastorno por Déficit de Atención con Hiperactividad Attention Deficit and Disruptive Behavior Disorders Déficit de la Atención y Trastornos de Conducta Disruptiva Substance-Related Disorders Trastornos Relacionados con Sustancias Conduct Disorder Trastorno de la Conducta Genetics Genética |
description |
ABSTRACT: Genetic factors are strongly implicated in the susceptibility to develop externalizing syndromes such as attentiondeficit/hyperactivity disorder (ADHD), oppositional defiant disorder, conduct disorder, and substance use disorder (SUD). Variants in the ADGRL3 (LPHN3) gene predispose to ADHD and predict ADHD severity, disruptive behaviors comorbidity, long-term outcome, and response to treatment. In this study, we investigated whether variants within. ADGRL3 are associated with SUD, a disorder that is frequently co-morbid with ADHD. Using family-based, case-control, and longitudinal samples from disparate regions of the world (n = 2698), recruited either for clinical, genetic epidemiological or pharmacogenomic studies of ADHD, we assembled recursive-partitioning frameworks (classification tree analyses) with clinical, demographic, and ADGRL3 genetic information to predict SUD susceptibility. Our results indicate that SUD can be efficiently and robustly predicted in ADHD participants. The genetic models used remained highly efficient in predicting SUD in a large sample of individuals with severe SUD from a psychiatric institution that were not ascertained on the basis of ADHD diagnosis, thus identifying ADGRL3 as a risk gene for SUD. Recursive-partitioning analyses revealed that rs4860437 was the predominant predictive variant. This new methodological approach offers novel insights into higher order predictive interactions and offers a unique opportunity for translational application in the clinical assessment of patients at high risk for SUD. |
publishDate |
2019 |
dc.date.issued.none.fl_str_mv |
2019 |
dc.date.accessioned.none.fl_str_mv |
2022-12-13T14:41:34Z |
dc.date.available.none.fl_str_mv |
2022-12-13T14:41:34Z |
dc.type.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.hasversion.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.redcol.spa.fl_str_mv |
https://purl.org/redcol/resource_type/ART |
dc.type.local.spa.fl_str_mv |
Artículo de investigación |
format |
http://purl.org/coar/resource_type/c_2df8fbb1 |
status_str |
publishedVersion |
dc.identifier.issn.none.fl_str_mv |
2158-3188 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10495/32753 |
dc.identifier.doi.none.fl_str_mv |
10.1038/s41398-019-0396-7 |
identifier_str_mv |
2158-3188 10.1038/s41398-019-0396-7 |
url |
https://hdl.handle.net/10495/32753 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofjournalabbrev.spa.fl_str_mv |
Transl. Psychiatry |
dc.rights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by/2.5/co/ |
dc.rights.accessrights.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.creativecommons.spa.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/2.5/co/ http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
dc.format.extent.spa.fl_str_mv |
15 |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Nature Publishing Group |
dc.publisher.group.spa.fl_str_mv |
Grupo de Neurociencias de Antioquia |
dc.publisher.place.spa.fl_str_mv |
Reino Unido |
institution |
Universidad de Antioquia |
bitstream.url.fl_str_mv |
https://bibliotecadigital.udea.edu.co/bitstream/10495/32753/1/ArcosOscar_2019_VariantsPredictSubstanceDisorder.pdf https://bibliotecadigital.udea.edu.co/bitstream/10495/32753/2/license_rdf https://bibliotecadigital.udea.edu.co/bitstream/10495/32753/3/license.txt |
bitstream.checksum.fl_str_mv |
6428aa9c193e273fb8377852cff60f80 1646d1f6b96dbbbc38035efc9239ac9c 8a4605be74aa9ea9d79846c1fba20a33 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad de Antioquia |
repository.mail.fl_str_mv |
andres.perez@udea.edu.co |
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1812173276610297856 |
spelling |
Arcos Burgos, Oscar MauricioVélez, Jorge I.Martínez, Ariel F.Ribasés, MartaRamos Quiroga, Josep A.Sánchez Mora, CristinaRicharte, VanesaRoncero, CarlosCormand, BruFernández Castillo, NoeliaCasas, MiguelLopera Restrepo, Francisco JavierPineda Salazar, David AntonioPalacio Ortiz, Juan DavidAcosta López, Johan E.Cervantes Henriquez, MarthaSánchez Rojas, Manuel G.Puentes Rozo, Pedro J.Molina, Brooke S. GBoden, Margaret T.Wallis, DeeannLidbury, BrettNewman, SaulEasteal, SimonSwanson, JamesPatel, HardipVolkow, NoraAcosta, Maria T.Castellanos, Francisco X.de Leon, JoseMastronardi, Claudio A.Muenke, Maximilian2022-12-13T14:41:34Z2022-12-13T14:41:34Z20192158-3188https://hdl.handle.net/10495/3275310.1038/s41398-019-0396-7ABSTRACT: Genetic factors are strongly implicated in the susceptibility to develop externalizing syndromes such as attentiondeficit/hyperactivity disorder (ADHD), oppositional defiant disorder, conduct disorder, and substance use disorder (SUD). Variants in the ADGRL3 (LPHN3) gene predispose to ADHD and predict ADHD severity, disruptive behaviors comorbidity, long-term outcome, and response to treatment. In this study, we investigated whether variants within. ADGRL3 are associated with SUD, a disorder that is frequently co-morbid with ADHD. Using family-based, case-control, and longitudinal samples from disparate regions of the world (n = 2698), recruited either for clinical, genetic epidemiological or pharmacogenomic studies of ADHD, we assembled recursive-partitioning frameworks (classification tree analyses) with clinical, demographic, and ADGRL3 genetic information to predict SUD susceptibility. Our results indicate that SUD can be efficiently and robustly predicted in ADHD participants. The genetic models used remained highly efficient in predicting SUD in a large sample of individuals with severe SUD from a psychiatric institution that were not ascertained on the basis of ADHD diagnosis, thus identifying ADGRL3 as a risk gene for SUD. Recursive-partitioning analyses revealed that rs4860437 was the predominant predictive variant. This new methodological approach offers novel insights into higher order predictive interactions and offers a unique opportunity for translational application in the clinical assessment of patients at high risk for SUD.COL001074415application/pdfengNature Publishing GroupGrupo de Neurociencias de AntioquiaReino Unidoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARTArtículo de investigaciónhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/co/http://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by/4.0/ADGRL3 (LPHN3) variants predict substance use disorderAttention Deficit Disorder with HyperactivityTrastorno por Déficit de Atención con HiperactividadAttention Deficit and Disruptive Behavior DisordersDéficit de la Atención y Trastornos de Conducta DisruptivaSubstance-Related DisordersTrastornos Relacionados con SustanciasConduct DisorderTrastorno de la ConductaGeneticsGenéticaTransl. PsychiatryTranslational Psychiatry115942ORIGINALArcosOscar_2019_VariantsPredictSubstanceDisorder.pdfArcosOscar_2019_VariantsPredictSubstanceDisorder.pdfArtículo de investigaciónapplication/pdf2465803https://bibliotecadigital.udea.edu.co/bitstream/10495/32753/1/ArcosOscar_2019_VariantsPredictSubstanceDisorder.pdf6428aa9c193e273fb8377852cff60f80MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8927https://bibliotecadigital.udea.edu.co/bitstream/10495/32753/2/license_rdf1646d1f6b96dbbbc38035efc9239ac9cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstream/10495/32753/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5310495/32753oai:bibliotecadigital.udea.edu.co:10495/327532022-12-13 09:41:35.046Repositorio Institucional Universidad de Antioquiaandres.perez@udea.edu.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 |