ADGRL3 (LPHN3) variants predict substance use disorder
Autor: | Simon Easteal, Brett A. Lidbury, Deeann Wallis, Martha L Cervantes-Henríquez, Nora D. Volkow, James M. Swanson, Francisco X. Castellanos, Mauricio Arcos-Burgos, Pedro J Puentes-Rozo, Carlos Roncero, Johan E Acosta-López, Maximilian Muenke, Hardip R. Patel, Jorge I. Vélez, Marta Ribasés, Noèlia Fernàndez-Castillo, Maria T. Acosta, Ariel F. Martinez, Bru Cormand, Claudio A. Mastronardi, Miguel Casas, Jose de Leon, David Pineda, Cristina Sánchez-Mora, Juan David Palacio, Saul Newman, Vanesa Richarte, Margaret T Boden, Josep Antoni Ramos-Quiroga, Brooke S.G. Molina, Manuel Sánchez-Rojas, Francisco Lopera |
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Přispěvatelé: | Institut Català de la Salut, [Arcos-Burgos M] Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. INPAC Research Group, Fundación Universitaria Sanitas, Bogotá, Colombia. Instituto de Investigaciones Médicas (IIM), Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia. [Vélez JI] Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. Universidad del Norte, Barranquilla, Colombia [Martinez AF] Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. [Ribasés M] Grup en Psiquiatria, Salut Mental i Addiccions, Vall d’Hebron Institut de Recerca, Barcelona, Spain. Servei de psiquiatria, Hospital Universitari Vall d'Hebron, Barcelona, Spain. Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain. [Ramos-Quiroga JA] Grup en Psiquiatria, Salut Mental i Addiccions, Vall d’Hebron Institut de Recerca, Barcelona, Spain. Servei de psiquiatria, Hospital Universitari Vall d'Hebron, Barcelona, Spain. Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain. Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain. [Richarte V] Servei de psiquiatria, Hospital Universitari Vall d'Hebron, Barcelona, Spain. Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain. Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain. [Casas M] Grup en Psiquiatria, Salut Mental i Addiccions, Vall d’Hebron Institut de Recerca, Barcelona, Spain. Servei de psiquiatria, Hospital Universitari Vall d'Hebron, Barcelona, Spain. Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain. Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain., Vall d'Hebron Barcelona Hospital Campus, Universitat de Barcelona, Hospital Universitari Vall d'Hebron |
Rok vydání: | 2019 |
Předmět: |
Male
single nucleotide Longitudinal study Genetic model Comorbidity Gene Receptors G-Protein-Coupled 0302 clinical medicine Opiate Human genetics Drug addiction Genetic epidemiology Longitudinal Studies Adhesion g protein coupled receptor l3 Child g-protein-coupled Otros calificadores::Otros calificadores::/genética [Otros calificadores] peptide 3. Good health Psychiatry and Mental health Retrospective study Lphn3 protein Randomized controlled trial Drinking of alcoholic beverages Medical genetics Trastorns per dèficit d'atenció amb hiperactivitat en els adults Consum d'alcohol Attention deficit disorder Cohort analysis Human medicine.medical_specialty Case control study Major clinical study behavioral disciplines and activities Article lcsh:RC321-571 03 medical and health sciences Brain damage Population based case control study Genetic predisposition Genetics Drogoaddicció Humans Family Adhesion g protein coupled receptor l3 gene Polymorphism Cannabis addiction salud ambiental::ciencia::toxicología::trastornos relacionados con sustancias [SALUD PÚBLICA] Biological Psychiatry Demography medicine.disease 030104 developmental biology Risk factors Case-Control Studies Salud Ambiental::Ciencia::Toxicología::Trastornos Relacionados con Sustancias [SALUD PÚBLICA] Attention deficit disorder with hyperactivity in adults Risk factor Tobacco dependence 030217 neurology & neurosurgery 0301 basic medicine Unclassified drug Clinical assessment Attention-deficit hyperactivity disorder (ADHD) técnicas de investigación::métodos epidemiológicos::características de los estudios epidemiológicos::estudios epidemiológicos::estudios de casos y controles [TÉCNICAS Y EQUIPOS ANALÍTICOS DIAGNÓSTICOS Y TERAPÉUTICOS] Gene locus Conduct disorder Abús de substàncies - Estudi de casos Barbituric acid derivative Disease predisposition Sedative agent Abús de substàncies - Genètica Cocaine Risk Factors Receptors MTA Cooperative Group Genètica de la conducta Genètica humana Longitudinal studies Substance abuse Alcoholism Drug dependence Pharmacogenetic testing Female Substance-related disorders Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics::Epidemiologic Studies::Case-Control Studies [ANALYTICAL DIAGNOSTIC AND THERAPEUTIC TECHNIQUES AND EQUIPMENT] Clinical psychology Receptor Adult Técnicas de Investigación::Métodos Epidemiológicos::Características de Estudios Epidemiológicos::Estudios Epidemiológicos::Estudios de Casos y Controles [TÉCNICAS Y EQUIPOS ANALÍTICOS DIAGNÓSTICOS Y TERAPÉUTICOS] Receptors Peptide Adolescent Substance-Related Disorders Genetic predisposition to disease Amphetamine derivative G protein coupled receptor Case-control studies Polymorphism Single Nucleotide Young Adult Cellular and Molecular Neuroscience mental disorders Other subheadings::Other subheadings::/genetics [Other subheadings] medicine Genetic Predisposition to Disease lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry Genetic risk business.industry Genomic dna Single nucleotide polymorphism Young adult Behavior genetics Genetic association Genetic variability business Psychedelic agent Prediction Controlled study Environmental Health::Science::Toxicology::Substance-Related Disorders [PUBLIC HEALTH] |
Zdroj: | Dipòsit Digital de la UB Universidad de Barcelona Translational Psychiatry Repositorio EdocUR-U. Rosario Universidad del Rosario instacron:Universidad del Rosario TRANSLATIONAL PSYCHIATRY r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu instname Repositorio Digital USB Universidad Simón Bolívar instacron:Universidad Simón Bolívar Dipòsit Digital de Documents de la UAB Universitat Autònoma de Barcelona Scientia r-FSJD: Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu Fundació Sant Joan de Déu Translational Psychiatry, Vol 9, Iss 1, Pp 1-15 (2019) Recercat. Dipósit de la Recerca de Catalunya Arcos-Burgos, Mauricio; Vélez, Jorge I; Martinez, Ariel F; Ribasés, Marta; Ramos-Quiroga, Josep A; Sánchez-Mora, Cristina; et al.(2019). ADGRL3 (LPHN3) variants predict substance use disorder.. Translational psychiatry, 9(1), 42. doi: 10.1038/s41398-019-0396-7. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/6df317mc |
ISSN: | 2158-3188 |
DOI: | 10.1038/s41398-019-0396-7. |
Popis: | Factors genètics; Desordre d'ús de substàncies Factores genéticos; Desorden de uso de sustancias Genetic factors; Substance use disorder; ADGRL3 (LPHN3) Genetic factors are strongly implicated in the susceptibility to develop externalizing syndromes such as attention-deficit/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 R01 DA039881/DA/NIDA NIH HHS/United States. DA039881/U.S. Department of Health & Human Services NIH, National Institute on Drug Abuse (NIDA)/ |
Databáze: | OpenAIRE |
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