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...

Full description

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/
id UDEA2_1cf46667929e12222bf931db639dae96
oai_identifier_str 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/
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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
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repository.name.fl_str_mv Repositorio Institucional Universidad de Antioquia
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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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