A two-locus genetic interaction between LPHN3 and 11q predicts ADHD severity and long-term outcome
| Autor: | Mauricio Arcos-Burgos, ML Bustamante, Maximilian Muenke, Jorge I. Vélez, Joan Z. Balog, Maria Teresa Acosta |
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| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
epistasis
Adult Male Brain development LPHN3 Time Factors Adolescent Genotype Receptors Peptide Single-nucleotide polymorphism Locus (genetics) macromolecular substances behavioral disciplines and activities severity of symptoms Severity of Illness Index Receptors G-Protein-Coupled Cellular and Molecular Neuroscience Young Adult Severity of illness mental disorders ADHD Humans Young adult Child Biological Psychiatry NCAM1 Aged Genetics Genetic interaction Receptors Dopamine D2 Chromosomes Human Pair 11 Epistasis Genetic Middle Aged Psychiatry and Mental health Attention Deficit Disorder with Hyperactivity Genetic Loci Child Preschool DRD2 Epistasis Original Article Female Psychology |
| Zdroj: | Translational Psychiatry |
| ISSN: | 2158-3188 |
| Popis: | The severity of attention-deficit/hyperactivity disorder (ADHD) symptoms is a major predictor of long-term ADHD outcome. To investigate if two-locus interactions might predict ADHD severity, we studied a sample of 1341 individuals from families clustering ADHD, using the Vanderbilt Assessment Scale for Parents. Latent class cluster analysis was used to construct symptom profiles and classify ADHD severity. Single nucleotide polymorphisms (SNPs) spanning ADHD-linked chromosomal regions on chromosomes 4, 5, 10, 11, 12 and 17 were genotyped. SNPs associated with ADHD severity were identified and potential two-locus genetic interactions were tested. We found that SNPs within the LPHN3 gene interact with SNPs spanning the 11q region that contains DRD2 and NCAM1 not only to increase the risk of developing ADHD but also to increase ADHD severity. All these genes are identified to have a major role in shaping both brain development and function. These findings demonstrate that genetic interactions may predict the severity of ADHD, which in turn may predict long-term ADHD outcome. |
| Databáze: | OpenAIRE |
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