85 results on '"Abramson, RK"'
Search Results
2. COHORT study of the HSG. CAG repeat expansion in Huntington disease determines age at onset in a fully dominant fashion
- Author
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Lee JM, Ramos EM, Lee JH, Gillis T, Mysore JS, Hayden MR, Warby SC, Morrison P, Nance M, Ross CA, Margolis RL, Squitieri F, Orobello S, Di Donato S, Gomez-Tortosa E, Ayuso C, Suchowersky O, Trent RJ, McCusker E, Novelletto A, Frontali M, Jones R, Ashizawa T, Frank S, Saint-Hilaire MH, Hersch SM, Rosas HD, Lucente D, Harrison MB, Zanko A, Abramson RK, Marder K, Sequeiros J, Paulsen JS, PREDICT-HD study of the Huntington Study Group (HSG), Landwehrmeyer GB, REGISTRY study of the European Huntington's Disease Network, Myers RH, and HD-MAPS Study Group, MacDonald ME, Gusella JF
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- 2012
3. TAA repeat variation in the GRIK2 gene does not influence age at onset in Huntington's disease
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Lee JH, Lee JM, Ramos EM, Gillis T, Mysore JS, Kishikawa S, Hadzi T, Hendricks AE, Hayden MR, Morrison PJ, Nance M, Ross CA, Margolis RL, Squitieri F, Gellera C, Gomez-Tortosa E, Ayuso C, Suchowersky O, Trent RJ, McCusker E, Novelletto A, Frontali M, Jones R, Ashizawa T, Frank S, Saint-Hilaire MH, Hersch SM, Rosas HD, Lucente D, Harrison MB, Zanko A, Abramson RK, Marder K, Sequeiros J,Landwehrmeyer GB, Registry Study of the European Huntington's Disease Network, Shoulson I, and Huntington Study Group COHORT project, Myers RH, MacDonald ME, Gusella JF.
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- 2012
4. Mapping autism risk loci using genetic linkage and chromosomal rearrangements
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Szatmari, P, Paterson, AD, Zwaigenbaum, L, Roberts, W, Brian, J, Liu, XQ, Vincent, JB, Skaug, JL, Thompson, AP, Senman, L, Feuk, L, Qian, C, Bryson, SE, Jones, MB, Marshall, CR, Scherer, SW, Vieland, VJ, Bartlett, C, Mangin, LV, Goedken, R, Segre, A, Pericak-Vance, MA, Cuccaro, ML, Gilbert, JR, Wright, HH, Abramson, RK, Betancur, C, Bourgeron, T, Gillberg, C, Leboyer, M, Buxbaum, JD, Davis, KL, Hollander, E, Silverman, JM, Hallmayer, J, Lotspeich, L, Sutcliffe, JS, Haines, JL, Folstein, SE, Piven, J, Wassink, TH, Sheffield, V, Geschwind, DH, Bucan, M, Brown, WT, Cantor, RM, Constantino, JN, Gilliam, TC, Herbert, M, LaJonchere, C, Ledbetter, DH, Lese-Martin, C, Miller, J, Nelson, S, Samango-Sprouse, CA, Spence, S, State, M, Tanzi, RE, Coon, H, Dawson, G, Devlin, B, Estes, A, Flodman, P, Klei, L, McMahon, WM, Minshew, N, Munson, J, Korvatska, E, Rodier, PM, Schellenberg, GD, Smith, M, Spence, MA, Stodgell, C, Tepper, PG, Wijsman, EM, Yu, CE, Rogé, B, Mantoulan, C, Wittemeyer, K, Poustka, A, Felder, B, Klauck, SM, Schuster, C, Poustka, F, Bölte, S, Feineis-Matthews, S, Herbrecht, E, Schmötzer, G, Tsiantis, J, Papanikolaou, K, Maestrini, E, and Bacchelli, E
- Subjects
mental disorders - Abstract
Autism spectrum disorders (ASDs) are common, heritable neurodevelopmental conditions. The genetic architecture of ASDs is complex, requiring large samples to overcome heterogeneity. Here we broaden coverage and sample size relative to other studies of ASDs by using Affymetrix 10K SNP arrays and 1,168 families with at least two affected individuals, performing the largest linkage scan to date while also analyzing copy number variation in these families. Linkage and copy number variation analyses implicate chromosome 11p12-p13 and neurexins, respectively, among other candidate loci. Neurexins team with previously implicated neuroligins for glutamatergic synaptogenesis, highlighting glutamate-related genes as promising candidates for contributing to ASDs. © 2007 Nature Publishing Group.
- Published
- 2007
5. Clinical outcomes and low-dose levocarnitine supplementation in psychiatric inpatients with documented hypocarnitinemia: a retrospective chart review.
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Cuturic M, Abramson RK, Moran RR, and Hardin JW
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- 2010
- Full Text
- View/download PDF
6. Lack of association between autism and SLC25A12.
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Rabionet R, McCauley JL, Jaworski JM, Ashley-Koch AE, Martin ER, Sutcliffe JS, Haines JL, DeLong GR, Abramson RK, Wright HH, Cuccaro ML, Gilbert JR, and Pericak-Vance MA
- Abstract
OBJECTIVE: Autism has a strong, complex genetic component, most likely involving several genes. Multiple genomic screens have shown evidence suggesting linkage to chromosome 2q31-q33, which includes the SLC25A12 gene. Recently, an association between autism risk and two single nucleotide polymorphisms (SNPs) in SLC25A12 was reported. This study aimed to test for association in SLC25A12 in an independent data set of 327 families with autistic offspring. METHOD: The authors analyzed two SNPs that were significant in the previous study group, as well as seven additional SNPs within the gene. Association analyses for individual SNPs as well as haplotypes were performed. RESULTS: There was no evidence of an association between SLC25A12 and autism. CONCLUSIONS: These results suggest that SLC25A12 is not a major contributor to autism risk in these families. [ABSTRACT FROM AUTHOR]
- Published
- 2006
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- View/download PDF
7. Mapping autism risk loci using genetic linkage and chromosomal rearrangements
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Peter, Szatmari, Andrew D, Paterson, Lonnie, Zwaigenbaum, Wendy, Roberts, Jessica, Brian, Xiao-Qing, Liu, John B, Vincent, Jennifer L, Skaug, Ann P, Thompson, Lili, Senman, Lars, Feuk, Cheng, Qian, Susan E, Bryson, Marshall B, Jones, Christian R, Marshall, Stephen W, Scherer, Veronica J, Vieland, Christopher, Bartlett, La Vonne, Mangin, Rhinda, Goedken, Alberto, Segre, Margaret A, Pericak-Vance, Michael L, Cuccaro, John R, Gilbert, Harry H, Wright, Ruth K, Abramson, Catalina, Betancur, Thomas, Bourgeron, Christopher, Gillberg, Marion, Leboyer, Joseph D, Buxbaum, Kenneth L, Davis, Eric, Hollander, Jeremy M, Silverman, Joachim, Hallmayer, Linda, Lotspeich, James S, Sutcliffe, Jonathan L, Haines, Susan E, Folstein, Joseph, Piven, Thomas H, Wassink, Val, Sheffield, Daniel H, Geschwind, Maja, Bucan, W Ted, Brown, Rita M, Cantor, John N, Constantino, T Conrad, Gilliam, Martha, Herbert, Clara, Lajonchere, David H, Ledbetter, Christa, Lese-Martin, Janet, Miller, Stan, Nelson, Carol A, Samango-Sprouse, Sarah, Spence, Matthew, State, Rudolph E, Tanzi, Hilary, Coon, Geraldine, Dawson, Bernie, Devlin, Annette, Estes, Pamela, Flodman, Lambertus, Klei, William M, McMahon, Nancy, Minshew, Jeff, Munson, Elena, Korvatska, Patricia M, Rodier, Gerard D, Schellenberg, Moyra, Smith, M Anne, Spence, Chris, Stodgell, Ping Guo, Tepper, Ellen M, Wijsman, Chang-En, Yu, Bernadette, Rogé, Carine, Mantoulan, Kerstin, Wittemeyer, Annemarie, Poustka, Bärbel, Felder, Sabine M, Klauck, Claudia, Schuster, Fritz, Poustka, Sven, Bölte, Sabine, Feineis-Matthews, Evelyn, Herbrecht, Gabi, Schmötzer, John, Tsiantis, Katerina, Papanikolaou, Elena, Maestrini, Elena, Bacchelli, Francesca, Blasi, Simona, Carone, Claudio, Toma, Herman, Van Engeland, Maretha, de Jonge, Chantal, Kemner, Frederieke, Koop, Frederike, Koop, Marjolein, Langemeijer, Marjolijn, Langemeijer, Channa, Hijmans, Channa, Hijimans, Wouter G, Staal, Gillian, Baird, Patrick F, Bolton, Michael L, Rutter, Emma, Weisblatt, Jonathan, Green, Catherine, Aldred, Julie-Anne, Wilkinson, Andrew, Pickles, Ann, Le Couteur, Tom, Berney, Helen, McConachie, Anthony J, Bailey, Kostas, Francis, Gemma, Honeyman, Aislinn, Hutchinson, Jeremy R, Parr, Simon, Wallace, Anthony P, Monaco, Gabrielle, Barnby, Kazuhiro, Kobayashi, Janine A, Lamb, Ines, Sousa, Nuala, Sykes, Edwin H, Cook, Stephen J, Guter, Bennett L, Leventhal, Jeff, Salt, Catherine, Lord, Christina, Corsello, Vanessa, Hus, Daniel E, Weeks, Fred, Volkmar, Maïté, Tauber, Eric, Fombonne, Andy, Shih, Kacie J, Meyer, Department of Psychiatry and Behavioural Neurosciences, McMaster University [Hamilton, Ontario]-Offord Centre for Child Studies, The Centre for Applied Genomics, Toronto, University of Toronto-The Hospital for sick children [Toronto] (SickKids)-Department of Molecular Genetics-McLaughlin Centre, Department of Pediatrics, University of Alberta, Autism Research Unit, The Hospital for sick children [Toronto] (SickKids)-University of Toronto, Department of Psychiatry, University of Toronto, Departments of Pediatrics and Psychology, Dalhousie University [Halifax], Department of Neural and Behavioral Sciences, Pennsylvania State University (Penn State), Penn State System-Penn State System, Department of Molecular Genetics [Toronto], Battelle Center for Mathematical Medicine, Ohio State University [Columbus] (OSU)-Nationwide Children's Hospital, Department of Pathology and Laboratory Medicine, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Department of Computer Science, University of Iowa [Iowa City], John P. Hussman Institute for Human Genomics, University of Miami [Coral Gables], W.S. Hall Psychiatric Institute, University of South Carolina [Columbia], Physiopathologie des Maladies du Système Nerveux Central, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Génétique Humaine et Fonctions Cognitives, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Gillberg Neuropsychiatry Centre [Göteborg, Sueden], Institute of Neuroscience and Physiology [Göteborg]-University of Gothenburg (GU), Institute of Child Health, University College of London [London] (UCL), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Friedman Brain Institute, Mount Sinai, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Department of Neuroscience, PennState Meteorology Department, Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, Department of Psychiatry and Behavioral Sciences [Stanford], Vanderbilt Brain Institute, Vanderbilt University School of Medicine [Nashville], Department of Molecular Physiology & Biophysics and Psychiatry, Vanderbilt University [Nashville]-Centers for Human Genetics Research and Molecular Neuroscience, Johns Hopkins University (JHU), Carolina Institute for Developmental Disabilities, Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], University of Iowa [Iowa City]-Howard Hughes Medical-Institute Carver College of Medicine, Department of Neurology, UCLA School of Medicine, Department of Genetics, University of Pennsylvania [Philadelphia]-School of Medicine, N.Y.S. Institute for Basic Research in Developmental Disabilities, Department of Human Genetics, UCLA, University of California [Los Angeles] (UCLA), University of California-University of California-Semel Institute, Washington University in Saint Louis (WUSTL), University of Chicago, Harvard Medical School [Boston] (HMS), Autism Genetic Resource Exchange, Autism Speaks, Emory University [Atlanta, GA], Developmental Brain and Behaviour Unit, University of Southampton, Cure Autism Now, Institute of Human Genetics, Rheinische Friedrich-Wilhelms-Universität Bonn, Children's National Medical Center, The George Washington University (GW), Massachusetts General Hospital, Massachusetts General Hospital [Boston], Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris [Pisa], Autism Speaks and the Department of Psychiatry, Department of Speech and Hearing Sciences [Washington], University of Washington [Seattle], University of California [Irvine] (UCI), University of California-University of California, Department of Psychiatry and Behavioral Sciences, Department of OB/GYN, University of Rochester Medical Center, Pathology and Laboratory Medicine, University of Pennsylvania [Philadelphia], Department of Epidemiology, University of Pittsburgh (PITT), Departments of Biostatistics and Medicine, Department of Medicine, Octogone Unité de Recherche Interdisciplinaire (Octogone), Université Toulouse - Jean Jaurès (UT2J), Centre de Référence du Syndrome de Prader-Willi, CHU Toulouse [Toulouse], University of Oxford [Oxford]-Warneford Hospital, Division of Molecular Genome Analysis, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Goethe-Universität Frankfurt am Main, University Department of Child Psychiatry, National and Kapodistrian University of Athens (NKUA), Department of Pharmacy and Biotechnology, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Medical Genetics Laboratory, Policlinico S. Orsola-Malpighi, University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Department of Neurocognition, Maastricht University [Maastricht], Newcomen Centre, Guy's Hospital [London], Department of Child and Adolescent Psychiatry, Institute of psychiatry, MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), The Institute of Psychiatry-King‘s College London, University of Cambridge Clinical School, University of Cambridge [UK] (CAM), Manchester Academic Health Sciences Centre, Department of Medicine, Manchester, University of Manchester [Manchester]-School of Epidemiology and Health Science, Newcastle University [Newcastle]-Institute of Health & Society (Child & Adolescent Psychiatry), Child and Adolescent Mental Health, Newcastle University [Newcastle], Institutes of Neuroscience and Health and Society, The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford [Oxford], Centre for Integrated Genomic Medical Research, Manchester, University of Manchester [Manchester], Institute for Juvenile Research-University of Illinois [Chicago] (UIC), University of Illinois System-University of Illinois System, Institute for Juvenile Research, University of Illinois [Chicago] (UIC), Department of Disability and Human Development, New York University [New York] (NYU), NYU System (NYU)-NYU System (NYU), Autism and Communicative Disorders Centre, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Human Genetics Department, SFU Discrete Mathematics Group (SFU-DMG), Simon Fraser University (SFU.ca), Child Study Centre, Yale University School of Medicine, Centre d'Endocrinologie, Maladies Osseuses, Génétique et Gynécologie Médicale, Hôpital des Enfants, CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], Department of Child Psychiatry, McGill University = Université McGill [Montréal, Canada]-Montreal Children's Hospital, McGill University Health Center [Montreal] (MUHC)-McGill University Health Center [Montreal] (MUHC), Scientific Affairs, Autism Genome Project Consortium, RS: FPN CN II, Cognitive Neuroscience, MUMC+: HZC Klinische Neurofysiologie (5), The Hospital for sick children [Toronto] (SickKids)-University of Toronto-Department of Molecular Genetics-McLaughlin Centre, University of California (UC)-University of California (UC)-Semel Institute, University of California [Irvine] (UC Irvine), University of California (UC)-University of California (UC), King‘s College London-The Institute of Psychiatry, Yale School of Medicine [New Haven, Connecticut] (YSM), Betancur, Catalina, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania-School of Medicine, University of Pennsylvania, Pôle Enfants [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), University of Oxford-Warneford Hospital, University of Oxford, Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Université de Toulouse (UT)-Université de Toulouse (UT), Szatmari P, Paterson AD, Zwaigenbaum L, Roberts W, Brian J, Liu XQ, Vincent JB, Skaug JL, Thompson AP, Senman L, Feuk L, Qian C, Bryson SE, Jones MB, Marshall CR, Scherer SW, Vieland VJ, Bartlett C, Mangin LV, Goedken R, Segre A, Pericak-Vance MA, Cuccaro ML, Gilbert JR, Wright HH, Abramson RK, Betancur C, Bourgeron T, Gillberg C, Leboyer M, Buxbaum JD, Davis KL, Hollander E, Silverman JM, Hallmayer J, Lotspeich L, Sutcliffe JS, Haines JL, Folstein SE, Piven J, Wassink TH, Sheffield V, Geschwind DH, Bucan M, Brown WT, Cantor RM, Constantino JN, Gilliam TC, Herbert M, Lajonchere C, Ledbetter DH, Lese-Martin C, Miller J, Nelson S, Samango-Sprouse CA, Spence S, State M, Tanzi RE, Coon H, Dawson G, Devlin B, Estes A, Flodman P, Klei L, McMahon WM, Minshew N, Munson J, Korvatska E, Rodier PM, Schellenberg GD, Smith M, Spence MA, Stodgell C, Tepper PG, Wijsman EM, Yu CE, Roge B, Mantoulan C, Wittemeyer K, Poustka A, Felder B, Klauck SM, Schuster C, Poustka F, Bolte S, Feineis-Matthews S, Herbrecht E, Schmotzer G, Tsiantis J, Papanikolaou K, Maestrini E, Bacchelli E, Blasi F, Carone S, Toma C, Van Engeland H, de Jonge M, Kemner C, Koop F, Langemeijer M, Hijimans C, Staal WG, Baird G, Bolton PF, Rutter ML, Weisblatt E, Green J, Aldred C, Wilkinson JA, Pickles A, Le Couteur A, Berney T, McConachie H, Bailey AJ, Francis K, Honeyman G, Hutchinson A, Parr JR, Wallace S, Monaco AP, Barnby G, Kobayashi K, Lamb JA, Sousa I, Sykes N, Cook EH, Guter SJ, Leventhal BL, Salt J, Lord C, Corsello C, Hus V, Weeks DE, Volkmar F, Tauber M, Fombonne E, and Shih A.
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Male ,genetic structures ,Genetic Linkage ,Neurexin ,[SDV.GEN] Life Sciences [q-bio]/Genetics ,0302 clinical medicine ,Risk Factors ,MESH: Risk Factors ,Heritability of autism ,Copy-number variation ,MESH: Genetic Variation ,Genetics ,0303 health sciences ,medicine.diagnostic_test ,MESH: Genetic Testing ,MESH: Genetic Predisposition to Disease ,Chromosome Mapping ,3. Good health ,Female ,MESH: Genetic Linkage ,MESH: Autistic Disorder ,Epigenetics of autism ,Biology ,Article ,03 medical and health sciences ,Genetic linkage ,mental disorders ,medicine ,Humans ,MESH: Chromosome Aberrations ,Family ,Genetic Predisposition to Disease ,Genetic Testing ,Autistic Disorder ,MESH: Family ,030304 developmental biology ,Genetic testing ,Chromosome Aberrations ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,MESH: Humans ,Genetic Variation ,medicine.disease ,Genetic architecture ,MESH: Male ,MESH: Lod Score ,Autism ,Lod Score ,MESH: Chromosome Mapping ,MESH: Female ,030217 neurology & neurosurgery - Abstract
International audience; Autism spectrum disorders (ASDs) are common, heritable neurodevelopmental conditions. The genetic architecture of ASDs is complex, requiring large samples to overcome heterogeneity. Here we broaden coverage and sample size relative to other studies of ASDs by using Affymetrix 10K SNP arrays and 1,181 [corrected] families with at least two affected individuals, performing the largest linkage scan to date while also analyzing copy number variation in these families. Linkage and copy number variation analyses implicate chromosome 11p12-p13 and neurexins, respectively, among other candidate loci. Neurexins team with previously implicated neuroligins for glutamatergic synaptogenesis, highlighting glutamate-related genes as promising candidates for contributing to ASDs.
- Published
- 2007
8. Three Brothers With Autism Carry a Stop-Gain Mutation in the HPA-Axis Gene NR3C2.
- Author
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Cukier HN, Griswold AJ, Hofmann NK, Gomez L, Whitehead PL, Abramson RK, Gilbert JR, Cuccaro ML, Dykxhoorn DM, and Pericak-Vance MA
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- Child, Preschool, Humans, Male, Siblings, Autism Spectrum Disorder genetics, Hypothalamo-Hypophyseal System, Mutation genetics, Pituitary-Adrenal System, Receptors, Mineralocorticoid genetics
- Abstract
Whole exome sequencing and copy-number variant analysis was performed on a family with three brothers diagnosed with autism. Each of the siblings shares an alteration in the nuclear receptor subfamily 3 group C member 2 (NR3C2) gene that is predicted to result in a stop-gain mutation (p.Q919X) in the mineralocorticoid receptor (MR) protein. This variant was maternally inherited and provides further evidence for a connection between the NR3C2 and autism. Interestingly, the NR3C2 gene encodes the MR protein, a steroid hormone-regulated transcription factor that acts in the hypothalamic-pituitary-adrenal axis and has been connected to stress and anxiety, both of which are features often seen in individuals with autism. Autism Res 2020, 13: 523-531. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Given the complexity of the genetics underlying autism, each gene contributes to risk in a relatively small number of individuals, typically less than 1% of all autism cases. Whole exome sequencing of three brothers with autism identified a rare variant in the nuclear receptor subfamily 3 group C member 2 gene that is predicted to strongly interfere with its normal function. This gene encodes the mineralocorticoid receptor protein, which plays a role in how the body responds to stress and anxiety, features that are often elevated in people diagnosed with autism. This study adds further support to the relevance of this gene as a risk factor for autism., (© 2020 International Society for Autism Research, Wiley Periodicals, Inc.)
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- 2020
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9. Pharmacotherapy of Autism Spectrum Disorder: Results from the Randomized BAART Clinical Trial.
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DeVane CL, Charles JM, Abramson RK, Williams JE, Carpenter LA, Raven S, Gwynette F, Stuck CA, Geesey ME, Bradley C, Donovan JL, Hall AG, Sherk ST, Powers NR, Spratt E, Kinsman A, Kruesi MJ, and Bragg JE Jr
- Subjects
- Adolescent, Antipsychotic Agents adverse effects, Antipsychotic Agents therapeutic use, Aripiprazole adverse effects, Child, Double-Blind Method, Female, Humans, Male, Risperidone adverse effects, Treatment Outcome, Weight Gain drug effects, Aripiprazole therapeutic use, Autism Spectrum Disorder drug therapy, Risperidone therapeutic use
- Abstract
The objective of this trial, Biomarkers in Autism of Aripiprazole and Risperidone Treatment (BAART), was to provide support and guidance for an evidence-based approach for the selection and monitoring of initial pharmacotherapy in patients with autism by assessing predictors of efficacy, tolerability, and safety. This randomized double-blind parallel-group study was conducted in three academic medical centers and a single private pediatric practice. Eighty children or adolescents (aged 6-17 yrs) with autistic disorder were enrolled, and 61 patients were randomized to the study drug. Of those patients, 51 completed the 10-week trial, and 31 completed an optional 12-week blinded extension phase. All patients were treated with 2 weeks of placebo before random assignment to receive aripiprazole (31 patients) or risperidone (30 patients) for 10 weeks. Sixteen placebo responders (20%) were excluded from further analysis. Drug dosing followed U.S. Food and Drug Administration (FDA) labeling, and weekly dosage adjustments were allowed until week 4; patients were then maintained on a fixed dose for 6 additional weeks. Safety, physical, and psychological assessments were recorded weekly or every 2 weeks. No significant differences in severity of illness between the aripiprazole and risperidone groups were noted at baseline. All patients significantly improved on the Aberrant Behavior Checklist-Irritability subscale after 1 week and continued for the remaining 9 weeks and the extension phase. Improvement was greatest in the risperidone group at every assessment period and was statistically significantly better than that in the aripiprazole group at weeks 3 and 6 (p<0.05). No dose-limiting adverse events occurred during the dose-titration period. Mean weight gain in the aripiprazole group was significantly less than that in the risperidone group at week 4 (0.62 vs 1.38 kg, p=0.033) and week 10 (1.61 vs 3.31 kg, p<0.001), but the difference became nonsignificant for the 31 patients completing the 3-month extension phase (4.36 vs 5.55 kg, p=0.26). Pharmacotherapy of patients with autism spectrum disorder resulted in behavioral improvement within 1 week and lasted at least 22 weeks. Weight gain occurred to a greater degree with risperidone than aripiprazole initially, but the differences became nonsignificant by the end of the trial. Our trial supports previous results of drug efficacy and safety in patients with autism spectrum disorder from other trials and extends the evidence-based support for choosing an FDA-approved drug for initial pharmacotherapy for autism spectrum disorder., (© 2019 Pharmacotherapy Publications, Inc.)
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- 2019
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10. Comparison of serum carnitine levels and clinical correlates between outpatients and acutely hospitalised individuals with bipolar disorder and schizophrenia: A cross-sectional study.
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Cuturic M, Abramson RK, Breen RJ, Edwards AC, and Levy EE
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- Adult, Cross-Sectional Studies, Female, Hospitalization, Humans, Lipoproteins, HDL blood, Male, Middle Aged, Triglycerides blood, Bipolar Disorder blood, Carnitine blood, Inpatients, Metabolic Syndrome epidemiology, Outpatients, Schizophrenia blood
- Abstract
Objectives: We sought to compare serum carnitine levels and clinical correlates between stable outpatients and acutely hospitalised individuals with diagnoses of bipolar disorder and schizophrenia., Methods: We obtained clinical information as well as serum levels for total and free carnitine, high-density lipoprotein (HDL) and triglycerides in 60 consenting individuals., Results: We found higher total serum carnitine levels in our outpatient group in comparison to acutely hospitalised psychiatric patients, with a statistically significant P value of 0.045. Metabolic syndrome was more prevalent in the outpatient (37.9%) versus inpatient group (16.1%). We identified significantly higher carnitine levels in patients who met the criteria for metabolic syndrome in comparison to the patients without metabolic syndrome, with respective P values for total and free carnitine of 0.0048 and 0.0029., Conclusions: This study revealed a complex relationship among carnitine metabolism, metabolic syndrome and behavioural outcomes. Future studies of carnitine metabolism in the context of mental illness as well as metabolic syndrome are warranted.
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- 2016
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11. Candidate glutamatergic and dopaminergic pathway gene variants do not influence Huntington's disease motor onset.
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Ramos EM, Latourelle JC, Gillis T, Mysore JS, Squitieri F, Di Pardo A, Di Donato S, Gellera C, Hayden MR, Morrison PJ, Nance M, Ross CA, Margolis RL, Gomez-Tortosa E, Ayuso C, Suchowersky O, Trent RJ, McCusker E, Novelletto A, Frontali M, Jones R, Ashizawa T, Frank S, Saint-Hilaire MH, Hersch SM, Rosas HD, Lucente D, Harrison MB, Zanko A, Abramson RK, Marder K, Gusella JF, Lee JM, Alonso I, Sequeiros J, Myers RH, and Macdonald ME
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- Age of Onset, Catechol O-Methyltransferase genetics, Dopamine Plasma Membrane Transport Proteins genetics, Genetic Association Studies, Humans, Huntington Disease epidemiology, Neural Pathways metabolism, Receptors, Dopamine D2 genetics, Receptors, Dopamine D4 genetics, Huntington Disease genetics, Polymorphism, Genetic, Receptors, Dopamine genetics, Receptors, N-Methyl-D-Aspartate genetics
- Abstract
Huntington's disease (HD) is a neurodegenerative disorder characterized by motor, cognitive, and behavioral disturbances. It is caused by the expansion of the HTT CAG repeat, which is the major determinant of age at onset (AO) of motor symptoms. Aberrant function of N-methyl-D-aspartate receptors and/or overexposure to dopamine has been suggested to cause significant neurotoxicity, contributing to HD pathogenesis. We used genetic association analysis in 1,628 HD patients to evaluate candidate polymorphisms in N-methyl-D-aspartate receptor subtype genes (GRIN2A rs4998386 and rs2650427, and GRIN2B rs1806201) and functional polymorphisms in genes in the dopamine pathway (DAT1 3' UTR 40-bp variable number tandem repeat (VNTR), DRD4 exon 3 48-bp VNTR, DRD2 rs1800497, and COMT rs4608) as potential modifiers of the disease process. None of the seven polymorphisms tested was found to be associated with significant modification of motor AO, either in a dominant or additive model, after adjusting for ancestry. The results of this candidate-genetic study therefore do not provide strong evidence to support a modulatory role for these variations within glutamatergic and dopaminergic genes in the AO of HD motor manifestations.
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- 2013
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12. Evaluating mitochondrial DNA variation in autism spectrum disorders.
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Hadjixenofontos A, Schmidt MA, Whitehead PL, Konidari I, Hedges DJ, Wright HH, Abramson RK, Menon R, Williams SM, Cuccaro ML, Haines JL, Gilbert JR, Pericak-Vance MA, Martin ER, and McCauley JL
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- Adolescent, Adult, Child, Child, Preschool, Genome-Wide Association Study, Haplotypes, Humans, Mutation, Polymorphism, Single Nucleotide, Young Adult, Child Development Disorders, Pervasive genetics, DNA, Mitochondrial genetics, Genetic Variation
- Abstract
Despite the increasing speculation that oxidative stress and abnormal energy metabolism may play a role in Autism Spectrum Disorders (ASD), and the observation that patients with mitochondrial defects have symptoms consistent with ASD, there are no comprehensive published studies examining the role of mitochondrial variation in autism. Therefore, we have sought to comprehensively examine the role of mitochondrial DNA (mtDNA) variation with regard to ASD risk, employing a multi-phase approach. In phase 1 of our experiment, we examined 132 mtDNA single-nucleotide polymorphisms (SNPs) genotyped as part of our genome-wide association studies of ASD. In phase 2 we genotyped the major European mitochondrial haplogroup-defining variants within an expanded set of autism probands and controls. Finally in phase 3, we resequenced the entire mtDNA in a subset of our Caucasian samples (∼400 proband-father pairs). In each phase we tested whether mitochondrial variation showed evidence of association to ASD. Despite a thorough interrogation of mtDNA variation, we found no evidence to suggest a major role for mtDNA variation in ASD susceptibility. Accordingly, while there may be attractive biological hints suggesting the role of mitochondria in ASD our data indicate that mtDNA variation is not a major contributing factor to the development of ASD., (© 2012 Blackwell Publishing Ltd/University College London.)
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- 2013
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13. Serum carnitine levels and levocarnitine supplementation in institutionalized Huntington's disease patients.
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Cuturic M, Abramson RK, Moran RR, Hardin JW, Frank EM, and Sellers AA
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- Adult, Anticonvulsants adverse effects, Anticonvulsants therapeutic use, Carnitine deficiency, Databases, Factual, Diet, Dietary Supplements, Female, Hospitalization, Humans, Male, Middle Aged, Neuropsychological Tests, Nutritional Status, Retrospective Studies, Valproic Acid adverse effects, Valproic Acid therapeutic use, Carnitine blood, Carnitine therapeutic use, Huntington Disease blood, Huntington Disease drug therapy
- Abstract
Along with antioxidant properties, carnitine is an important regulator of lipid metabolism in humans. While beneficial effects of carnitine have been demonstrated in animal models of Huntington's disease (HD), metabolism of carnitine has not been studied in humans with this illness. In this retrospective database review from 23 patients admitted to a HD-specialized nursing home unit, we found a relatively high prevalence of hypocarnitinemia (6 cases, 26%). Our review suggests that catabolism and chronic valproate use predisposed our patients to develop hypocarnitinemia. The patients with low serum carnitine levels who received levocarnitine supplementation, during a mean period of 7.3 months, showed improvement in motor, cognitive and behavioral measures. We hypothesize that observed improvement related to the resolution of reversible metabolic encephalopathy and myopathy associated with secondary carnitine deficiency. In conclusion, notwithstanding its limitations, this is the first study to report measurements of carnitine levels in HD patients, revealing relatively high prevalence of hypocarnitinemia in our population. Our findings suggest that HD patients with hypocarnitinemia may benefit from low-dose levocarnitine supplementation. Further studies of carnitine metabolism and supplementation in HD patients are warranted.
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- 2013
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14. The expanding role of MBD genes in autism: identification of a MECP2 duplication and novel alterations in MBD5, MBD6, and SETDB1.
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Cukier HN, Lee JM, Ma D, Young JI, Mayo V, Butler BL, Ramsook SS, Rantus JA, Abrams AJ, Whitehead PL, Wright HH, Abramson RK, Haines JL, Cuccaro ML, Pericak-Vance MA, and Gilbert JR
- Subjects
- Adolescent, Adult, Child, Child, Preschool, DNA Copy Number Variations genetics, Female, Genetic Predisposition to Disease genetics, Histone-Lysine N-Methyltransferase, Humans, Male, Polymorphism, Single Nucleotide genetics, Young Adult, Autistic Disorder genetics, DNA-Binding Proteins genetics, Gene Duplication genetics, Methyl-CpG-Binding Protein 2 genetics, Protein Methyltransferases genetics
- Abstract
The methyl-CpG-binding domain (MBD) gene family was first linked to autism over a decade ago when Rett syndrome, which falls under the umbrella of autism spectrum disorders (ASDs), was revealed to be predominantly caused by MECP2 mutations. Since that time, MECP2 alterations have been recognized in idiopathic ASD patients by us and others. Individuals with deletions across the MBD5 gene also present with ASDs, impaired speech, intellectual difficulties, repetitive behaviors, and epilepsy. These findings suggest that further investigations of the MBD gene family may reveal additional associations related to autism. We now describe the first study evaluating individuals with ASD for rare variants in four autosomal MBD family members, MBD5, MBD6, SETDB1, and SETDB2, and expand our initial screening in the MECP2 gene. Each gene was sequenced over all coding exons and evaluated for copy number variations in 287 patients with ASD and an equal number of ethnically matched control individuals. We identified 186 alterations through sequencing, approximately half of which were novel (96 variants, 51.6%). We identified 17 ASD specific, nonsynonymous variants, four of which were concordant in multiplex families: MBD5 Tyr1269Cys, MBD6 Arg883Trp, MECP2 Thr240Ser, and SETDB1 Pro1067del. Furthermore, a complex duplication spanning of the MECP2 gene was identified in two brothers who presented with developmental delay and intellectual disability. From our studies, we provide the first examples of autistic patients carrying potentially detrimental alterations in MBD6 and SETDB1, thereby demonstrating that the MBD gene family potentially plays a significant role in rare and private genetic causes of autism., (© 2012 International Society for Autism Research, Wiley Periodicals, Inc.)
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- 2012
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15. TAA repeat variation in the GRIK2 gene does not influence age at onset in Huntington's disease.
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Lee JH, Lee JM, Ramos EM, Gillis T, Mysore JS, Kishikawa S, Hadzi T, Hendricks AE, Hayden MR, Morrison PJ, Nance M, Ross CA, Margolis RL, Squitieri F, Gellera C, Gomez-Tortosa E, Ayuso C, Suchowersky O, Trent RJ, McCusker E, Novelletto A, Frontali M, Jones R, Ashizawa T, Frank S, Saint-Hilaire MH, Hersch SM, Rosas HD, Lucente D, Harrison MB, Zanko A, Abramson RK, Marder K, Sequeiros J, Landwehrmeyer GB, Shoulson I, Myers RH, MacDonald ME, and Gusella JF
- Subjects
- 3' Untranslated Regions genetics, Adolescent, Adult, Age of Onset, Aged, Aged, 80 and over, Alleles, Child, Child, Preschool, Female, Humans, Male, Middle Aged, Polymorphism, Genetic, Young Adult, GluK2 Kainate Receptor, Codon, Terminator genetics, Huntington Disease genetics, Receptors, Kainic Acid genetics, Trinucleotide Repeats genetics
- Abstract
Huntington's disease is a neurodegenerative disorder caused by an expanded CAG trinucleotide repeat whose length is the major determinant of age at onset but remaining variation appears to be due in part to the effect of genetic modifiers. GRIK2, which encodes GluR6, a mediator of excitatory neurotransmission in the brain, has been suggested in several studies to be a modifier gene based upon a 3' untranslated region TAA trinucleotide repeat polymorphism. Prior to investing in detailed studies of the functional impact of this polymorphism, we sought to confirm its effect on age at onset in a much larger dataset than in previous investigations. We genotyped the HD CAG repeat and the GRIK2 TAA repeat in DNA samples from 2,911 Huntington's disease subjects with known age at onset, and tested for a potential modifier effect of GRIK2 using a variety of statistical approaches. Unlike previous reports, we detected no evidence of an influence of the GRIK2 TAA repeat polymorphism on age at motor onset. Similarly, the GRIK2 polymorphism did not show significant modifier effect on psychiatric and cognitive age at onset in HD. Comprehensive analytical methods applied to a much larger sample than in previous studies do not support a role for GRIK2 as a genetic modifier of age at onset of clinical symptoms in Huntington's disease., (Copyright © 2012 Elsevier Inc. All rights reserved.)
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- 2012
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16. Exploring the relationship between autism spectrum disorder and epilepsy using latent class cluster analysis.
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Cuccaro ML, Tuchman RF, Hamilton KL, Wright HH, Abramson RK, Haines JL, Gilbert JR, and Pericak-Vance M
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- Adolescent, Child, Child Development Disorders, Pervasive diagnosis, Child, Preschool, Cluster Analysis, Epilepsy diagnosis, Female, Humans, Male, Phenotype, Child Development Disorders, Pervasive complications, Epilepsy complications
- Abstract
Epilepsy co-occurs frequently in autism spectrum disorders (ASD). Understanding this co-occurrence requires a better understanding of the ASD-epilepsy phenotype (or phenotypes). To address this, we conducted latent class cluster analysis (LCCA) on an ASD dataset (N = 577) which included 64 individuals with epilepsy. We identified a 5-cluster solution with one cluster showing a high rate of epilepsy (29%), earlier age at first recognition, and high rates of repetitive object use and unusual sensory interests. We also conducted LCCA on an ASD-epilepsy subset from the overall dataset (N = 64) which yielded three clusters, the largest of which had impairments in language and motor development; the remaining clusters, while not as developmentally impaired were characterized by different levels of repetitive and sensory behaviors.
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- 2012
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17. Evaluation of copy number variations reveals novel candidate genes in autism spectrum disorder-associated pathways.
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Griswold AJ, Ma D, Cukier HN, Nations LD, Schmidt MA, Chung RH, Jaworski JM, Salyakina D, Konidari I, Whitehead PL, Wright HH, Abramson RK, Williams SM, Menon R, Martin ER, Haines JL, Gilbert JR, Cuccaro ML, and Pericak-Vance MA
- Subjects
- Adolescent, Algorithms, Case-Control Studies, Child, Child, Preschool, Female, Genetic Predisposition to Disease, Humans, Male, Polymorphism, Single Nucleotide, Receptors, GABA genetics, Young Adult, Child Development Disorders, Pervasive genetics, DNA Copy Number Variations
- Abstract
Autism spectrum disorders (ASDs) are highly heritable, yet relatively few associated genetic loci have been replicated. Copy number variations (CNVs) have been implicated in autism; however, the majority of loci contribute to <1% of the disease population. Therefore, independent studies are important to refine associated CNV regions and discover novel susceptibility genes. In this study, a genome-wide SNP array was utilized for CNV detection by two distinct algorithms in a European ancestry case-control data set. We identify a significantly higher burden in the number and size of deletions, and disrupting more genes in ASD cases. Moreover, 18 deletions larger than 1 Mb were detected exclusively in cases, implicating novel regions at 2q22.1, 3p26.3, 4q12 and 14q23. Case-specific CNVs provided further evidence for pathways previously implicated in ASDs, revealing new candidate genes within the GABAergic signaling and neural development pathways. These include DBI, an allosteric binder of GABA receptors, GABARAPL1, the GABA receptor-associated protein, and SLC6A11, a postsynaptic GABA transporter. We also identified CNVs in COBL, deletions of which cause defects in neuronal cytoskeleton morphogenesis in model vertebrates, and DNER, a neuron-specific Notch ligand required for cerebellar development. Moreover, we found evidence of genetic overlap between ASDs and other neurodevelopmental and neuropsychiatric diseases. These genes include glutamate receptors (GRID1, GRIK2 and GRIK4), synaptic regulators (NRXN3, SLC6A8 and SYN3), transcription factor (ZNF804A) and RNA-binding protein FMR1. Taken together, these CNVs may be a few of the missing pieces of ASD heritability and lead to discovering novel etiological mechanisms.
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- 2012
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18. Common SNP-based haplotype analysis of the 4p16.3 Huntington disease gene region.
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Lee JM, Gillis T, Mysore JS, Ramos EM, Myers RH, Hayden MR, Morrison PJ, Nance M, Ross CA, Margolis RL, Squitieri F, Griguoli A, Di Donato S, Gomez-Tortosa E, Ayuso C, Suchowersky O, Trent RJ, McCusker E, Novelletto A, Frontali M, Jones R, Ashizawa T, Frank S, Saint-Hilaire MH, Hersch SM, Rosas HD, Lucente D, Harrison MB, Zanko A, Abramson RK, Marder K, Sequeiros J, MacDonald ME, and Gusella JF
- Subjects
- Age of Onset, Alleles, Case-Control Studies, Founder Effect, Genome-Wide Association Study methods, Haplotypes, Humans, Mutation, Polymorphism, Single Nucleotide, Trinucleotide Repeats, Chromosomes, Human, Pair 4, Huntington Disease genetics
- Abstract
Age at the onset of motor symptoms in Huntington disease (HD) is determined largely by the length of a CAG repeat expansion in HTT but is also influenced by other genetic factors. We tested whether common genetic variation near the mutation site is associated with differences in the distribution of expanded CAG alleles or age at the onset of motor symptoms. To define disease-associated single-nucleotide polymorphisms (SNPs), we compared 4p16.3 SNPs in HD subjects with population controls in a case:control strategy, which revealed that the strongest signals occurred at a great distance from the HD mutation as a result of "synthetic association" with SNP alleles that are of low frequency in population controls. Detailed analysis delineated a prominent ancestral haplotype that accounted for ∼50% of HD chromosomes and extended to at least 938 kb on about half of these. Together, the seven most abundant haplotypes accounted for ∼83% of HD chromosomes. Neither the extended shared haplotype nor the individual local HTT haplotypes were associated with altered CAG-repeat length distribution or residual age at the onset of motor symptoms, arguing against modification of these disease features by common cis-regulatory elements. Similarly, the 11 most frequent control haplotypes showed no trans-modifier effect on age at the onset of motor symptoms. Our results argue against common local regulatory variation as a factor influencing HD pathogenesis, suggesting that genetic modifiers be sought elsewhere in the genome. They also indicate that genome-wide association analysis with a small number of cases can be effective for regional localization of genetic defects, even when a founder effect accounts for only a fraction of the disorder., (Copyright © 2012 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
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- 2012
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19. CAG repeat expansion in Huntington disease determines age at onset in a fully dominant fashion.
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Lee JM, Ramos EM, Lee JH, Gillis T, Mysore JS, Hayden MR, Warby SC, Morrison P, Nance M, Ross CA, Margolis RL, Squitieri F, Orobello S, Di Donato S, Gomez-Tortosa E, Ayuso C, Suchowersky O, Trent RJ, McCusker E, Novelletto A, Frontali M, Jones R, Ashizawa T, Frank S, Saint-Hilaire MH, Hersch SM, Rosas HD, Lucente D, Harrison MB, Zanko A, Abramson RK, Marder K, Sequeiros J, Paulsen JS, Landwehrmeyer GB, Myers RH, MacDonald ME, and Gusella JF
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- Adult, Age of Onset, Alleles, Female, Genotype, Humans, Huntington Disease diagnosis, Male, Huntington Disease genetics, Trinucleotide Repeat Expansion
- Abstract
Objective: Age at onset of diagnostic motor manifestations in Huntington disease (HD) is strongly correlated with an expanded CAG trinucleotide repeat. The length of the normal CAG repeat allele has been reported also to influence age at onset, in interaction with the expanded allele. Due to profound implications for disease mechanism and modification, we tested whether the normal allele, interaction between the expanded and normal alleles, or presence of a second expanded allele affects age at onset of HD motor signs., Methods: We modeled natural log-transformed age at onset as a function of CAG repeat lengths of expanded and normal alleles and their interaction by linear regression., Results: An apparently significant effect of interaction on age at motor onset among 4,068 subjects was dependent on a single outlier data point. A rigorous statistical analysis with a well-behaved dataset that conformed to the fundamental assumptions of linear regression (e.g., constant variance and normally distributed error) revealed significance only for the expanded CAG repeat, with no effect of the normal CAG repeat. Ten subjects with 2 expanded alleles showed an age at motor onset consistent with the length of the larger expanded allele., Conclusions: Normal allele CAG length, interaction between expanded and normal alleles, and presence of a second expanded allele do not influence age at onset of motor manifestations, indicating that the rate of HD pathogenesis leading to motor diagnosis is determined by a completely dominant action of the longest expanded allele and as yet unidentified genetic or environmental factors.
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- 2012
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20. An X chromosome-wide association study in autism families identifies TBL1X as a novel autism spectrum disorder candidate gene in males.
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Chung RH, Ma D, Wang K, Hedges DJ, Jaworski JM, Gilbert JR, Cuccaro ML, Wright HH, Abramson RK, Konidari I, Whitehead PL, Schellenberg GD, Hakonarson H, Haines JL, Pericak-Vance MA, and Martin ER
- Abstract
Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with a strong genetic component. The skewed prevalence toward males and evidence suggestive of linkage to the X chromosome in some studies suggest the presence of X-linked susceptibility genes in people with ASD., Methods: We analyzed genome-wide association study (GWAS) data on the X chromosome in three independent autism GWAS data sets: two family data sets and one case-control data set. We performed meta- and joint analyses on the combined family and case-control data sets. In addition to the meta- and joint analyses, we performed replication analysis by using the two family data sets as a discovery data set and the case-control data set as a validation data set., Results: One SNP, rs17321050, in the transducin β-like 1X-linked (TBL1X) gene [OMIM:300196] showed chromosome-wide significance in the meta-analysis (P value = 4.86 × 10-6) and joint analysis (P value = 4.53 × 10-6) in males. The SNP was also close to the replication threshold of 0.0025 in the discovery data set (P = 5.89 × 10-3) and passed the replication threshold in the validation data set (P = 2.56 × 10-4). Two other SNPs in the same gene in linkage disequilibrium with rs17321050 also showed significance close to the chromosome-wide threshold in the meta-analysis., Conclusions: TBL1X is in the Wnt signaling pathway, which has previously been implicated as having a role in autism. Deletions in the Xp22.2 to Xp22.3 region containing TBL1X and surrounding genes are associated with several genetic syndromes that include intellectual disability and autistic features. Our results, based on meta-analysis, joint analysis and replication analysis, suggest that TBL1X may play a role in ASD risk.
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- 2011
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21. A de novo 1.5 Mb microdeletion on chromosome 14q23.2-23.3 in a patient with autism and spherocytosis.
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Griswold AJ, Ma D, Sacharow SJ, Robinson JL, Jaworski JM, Wright HH, Abramson RK, Lybaek H, Øyen N, Cuccaro ML, Gilbert JR, and Pericak-Vance MA
- Subjects
- Adolescent, Alleles, Comorbidity, DNA Copy Number Variations genetics, Gene Frequency genetics, Genotype, Humans, Intellectual Disability genetics, Learning Disabilities genetics, Male, Minor Histocompatibility Antigens, Pedigree, Phenotype, Autistic Disorder genetics, Chromosome Deletion, Chromosomes, Human, Pair 14 genetics, Genetic Association Studies, Methylenetetrahydrofolate Dehydrogenase (NADP) genetics, Polymorphism, Single Nucleotide genetics, Spherocytosis, Hereditary genetics
- Abstract
Autism is a neuro-developmental disorder characterized by deficits in social interaction and communication as well as restricted interests or repetitive behaviors. Cytogenetic studies have implicated large chromosomal aberrations in the etiology of approximately 5-7% of autism patients, and the recent advent of array-based techniques allows the exploration of submicroscopic copy number variations (CNVs). We genotyped a 14-year-old boy with autism, spherocytosis and other physical dysmorphia, his parents, and two non-autistic siblings with the Illumina Human 1M Beadchip as part of a study of the molecular genetics of autism and determined copy number variants using the PennCNV algorithm. We identified and validated a de novo 1.5 Mb microdeletion of 14q23.2-23.3 in our autistic patient. This region contains 15 genes, including spectrin beta (SPTB), encoding a cytoskeletal protein previously associated with spherocytosis, methylenetetrahydrofolate dehydrogenase 1 (MTHFD1), a folate metabolizing enzyme previously associated with bipoloar disorder and schizophrenia, pleckstrin homology domain-containing family G member 3 (PLEKHG3), a guanide nucleotide exchange enriched in the brain, and churchill domain containing protein 1 (CHURC1), homologs of which regulate neuronal development in model organisms. While a similar deletion has previously been reported in a family with spherocytosis, severe learning disabilities, and mild mental retardation, this is the first implication of chr14q23.2-23.3 in the etiology of autism and points to MTHFD1, PLEKHG3, and CHURC1 as potential candidate genes contributing to autism risk., (Copyright © 2011, International Society for Autism Research, Wiley Periodicals, Inc.)
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- 2011
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22. Microduplications in an autism multiplex family narrow the region of susceptibility for developmental disorders on 15q24 and implicate 7p21.
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Cukier HN, Salyakina D, Blankstein SF, Robinson JL, Sacharow S, Ma D, Wright HH, Abramson RK, Menon R, Williams SM, Haines JL, Cuccaro ML, Gilbert JR, and Pericak-Vance MA
- Subjects
- Autoantigens genetics, Child, Child Development Disorders, Pervasive etiology, Family, Glycoproteins genetics, Humans, Neuropeptides genetics, Ubiquitins genetics, Child Development Disorders, Pervasive genetics, Chromosomes, Human, Pair 15, Chromosomes, Human, Pair 7, DNA Copy Number Variations
- Abstract
Copy number variations (CNVs) play a crucial role in the intricate genetics of autism spectrum disorders. A region on chromosome 15q24 vulnerable to both deletions and duplications has been previously implicated in a range of phenotypes including autism, Asperger's syndrome, delayed development, and mild to severe mental retardation. Prior studies have delineated a minimal critical region of approximately 1.33 Mb. In this study, a multiplex autism family was evaluated for CNVs using genotyping data from the Illumina 1 M BeadChip and analyzed with the PennCNV algorithm. Variants were then identified that co-segregate with autism features in this family. Here, we report autistic first cousins who carry two microduplications concordant with disease. Both duplications were inherited maternally and found to be identical by descent. The first is an approximately 10,000 base pair microduplication within the minimal region on 15q24 that falls across a single gene, ubiquitin-like 7. This is the smallest duplication in the region to result in a neuropsychiatric disorder, potentially narrowing the critical region for susceptibility to developmental and autism spectrum disorders. The second is a novel, 352 kb tandem duplication on 7p21 that replicates part of the neurexophilin 1 and islet cell autoantigen 1 genes. The breakpoint junction falls within the intronic regions of these genes and demonstrates a microhomology of four base pairs. Each of these microduplications may contribute to the complex etiology of autism spectrum disorders., (Copyright © 2011 Wiley-Liss, Inc.)
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- 2011
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23. Clinical correlates of low serum carnitine levels in hospitalized psychiatric patients.
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Cuturic M, Abramson RK, Moran RR, Hardin JW, and Hall AV
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- Adult, Aged, Antimanic Agents blood, Antimanic Agents therapeutic use, Female, Humans, Male, Mental Disorders drug therapy, Middle Aged, Polypharmacy, Retrospective Studies, Schizophrenia blood, Schizophrenia drug therapy, Valproic Acid blood, Valproic Acid therapeutic use, Carnitine blood, Inpatients statistics & numerical data, Mental Disorders blood
- Abstract
Objective: We sought to evaluate clinical correlates of low serum carnitine levels in hospitalized psychiatric patients., Methods: We retrospectively reviewed the charts of 40 psychiatric inpatients identified to have low serum carnitine levels., Results: Cognitive impairment was present in 38 (95%) cases, frequently accompanied by imbalance, agitation and extrapyramidal symptoms. Valproate therapy was encountered in 28 (70%) patients. The dosage of valproate negatively correlated with total and free carnitine levels (P = 0.003 and 0.0136). Polypharmacy also affected carnitine levels, indicating additional modulatory effects on carnitine metabolism. We encountered a disproportionately high prevalence of mental retardation and dementia in association with hypocarnitinemia., Conclusion: We hypothesize that in the context of mental illness hypocarnitinemia may be associated with metabolic encephalopathy and cognitive impairment. As carnitine deficiency is a potentially treatable condition further studies are warranted.
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- 2011
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24. Carnitine and metabolic correlates in hospitalized psychiatric patients: a follow-through report.
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Cuturic M, Abramson RK, Moran RR, and Hardin JW
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- Adult, Aged, Biomarkers blood, Female, Follow-Up Studies, Humans, Inpatients, Lipids blood, Male, Middle Aged, Retrospective Studies, Carnitine blood, Carnitine deficiency, Mental Disorders blood
- Abstract
Background: Carnitine deficiency may be encountered in the context of chronic psychiatric illness, particularly with the chronic use of valproic acid. Despite the importance of carnitine in lipid metabolism and mitochondrial function, its metabolic effects have not been studied in a psychiatric population., Objective: To raise awareness regarding the possible metabolic implications of carnitine homeostasis in psychiatric patients., Method: Retrospective database review in a subgroup of 23 patients with documented hypo carnitinemia., Results: Statistical analysis revealed a negative correlation between serum carnitine levels and lipid levels. Initial fasting plasma glucose levels correlated positively with acylcarnitine/free carnitine ratios, suggesting unfavorable secondary effects of carnitine insufficiency, which resolved once carnitine was supplemented., Conclusion: Carnitine is a plausible substrate for future investigations of metabolic status in psychiatric patients. Further studies are needed to evaluate whether serum carnitine levels may be useful as a marker for psychiatric patients at risk for developing metabolic syndrome, and whether carnitine supplementation may reduce that risk. (Journal of Psychiatric Practice 2011;17:35-40).
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- 2011
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25. Copy number variants in extended autism spectrum disorder families reveal candidates potentially involved in autism risk.
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Salyakina D, Cukier HN, Lee JM, Sacharow S, Nations LD, Ma D, Jaworski JM, Konidari I, Whitehead PL, Wright HH, Abramson RK, Williams SM, Menon R, Haines JL, Gilbert JR, Cuccaro ML, and Pericak-Vance MA
- Subjects
- Adolescent, Child, Child Development Disorders, Pervasive pathology, Child Development Disorders, Pervasive physiopathology, Child, Preschool, Female, Humans, Male, Young Adult, Child Development Disorders, Pervasive genetics, DNA Copy Number Variations, Genetic Predisposition to Disease genetics, Pedigree
- Abstract
Copy number variations (CNVs) are a major cause of genetic disruption in the human genome with far more nucleotides being altered by duplications and deletions than by single nucleotide polymorphisms (SNPs). In the multifaceted etiology of autism spectrum disorders (ASDs), CNVs appear to contribute significantly to our understanding of the pathogenesis of this complex disease. A unique resource of 42 extended ASD families was genotyped for over 1 million SNPs to detect CNVs that may contribute to ASD susceptibility. Each family has at least one avuncular or cousin pair with ASD. Families were then evaluated for co-segregation of CNVs in ASD patients. We identified a total of five deletions and seven duplications in eleven families that co-segregated with ASD. Two of the CNVs overlap with regions on 7p21.3 and 15q24.1 that have been previously reported in ASD individuals and two additional CNVs on 3p26.3 and 12q24.32 occur near regions associated with schizophrenia. These findings provide further evidence for the involvement of ICA1 and NXPH1 on 7p21.3 in ASD susceptibility and highlight novel ASD candidates, including CHL1, FGFBP3 and POUF41. These studies highlight the power of using extended families for gene discovery in traits with a complex etiology.
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- 2011
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26. Variants in several genomic regions associated with asperger disorder.
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Salyakina D, Ma DQ, Jaworski JM, Konidari I, Whitehead PL, Henson R, Martinez D, Robinson JL, Sacharow S, Wright HH, Abramson RK, Gilbert JR, Cuccaro ML, and Pericak-Vance MA
- Subjects
- Adolescent, Child, Child, Preschool, Cohort Studies, Female, Genetic Linkage genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study methods, Humans, Male, Risk Factors, Young Adult, Asperger Syndrome genetics, Polymorphism, Single Nucleotide genetics
- Abstract
Asperger disorder (ASP) is one of the autism spectrum disorders (ASD) and is differentiated from autism largely on the absence of clinically significant cognitive and language delays. Analysis of a homogenous subset of families with ASP may help to address the corresponding effect of genetic heterogeneity on identifying ASD genetic risk factors. To examine the hypothesis that common variation is important in ASD, we performed a genome-wide association study (GWAS) in 124 ASP families in a discovery data set and 110 ASP families in a validation data set. We prioritized the top 100 association results from both cohorts by employing a ranking strategy. Novel regions on 5q21.1 (P = 9.7 × 10(-7) ) and 15q22.1-q22.2 (P = 7.3 × 10(-6) ) were our most significant findings in the combined data set. Three chromosomal regions showing association, 3p14.2 (P = 3.6 × 10(-6) ), 3q25-26 (P = 6.0 × 10(-5) ) and 3p23 (P = 3.3 × 10(-4) ) overlapped linkage regions reported in Finnish ASP families, and eight association regions overlapped ASD linkage areas. Our findings suggest that ASP shares both ASD-related genetic risk factors, as well as has genetic risk factors unique to the ASP phenotype., (Copyright © 2010, International Society for Autism Research, Wiley Periodicals, Inc.)
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- 2010
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27. Novel variants identified in methyl-CpG-binding domain genes in autistic individuals.
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Cukier HN, Rabionet R, Konidari I, Rayner-Evans MY, Baltos ML, Wright HH, Abramson RK, Martin ER, Cuccaro ML, Pericak-Vance MA, and Gilbert JR
- Subjects
- Adolescent, Child, Child, Preschool, Cohort Studies, CpG Islands, Female, Frameshift Mutation, Genetic Variation, Humans, Male, Mutation, Missense, Sequence Deletion, Young Adult, Autistic Disorder genetics, DNA-Binding Proteins genetics, Endodeoxyribonucleases genetics, Methyl-CpG-Binding Protein 2 genetics, Transcription Factors genetics
- Abstract
Misregulation of the methyl-CpG-binding protein 2 (MECP2) gene has been found to cause a myriad of neurological disorders including autism, mental retardation, seizures, learning disabilities, and Rett syndrome. We hypothesized that mutations in other members of the methyl-CpG-binding domain (MBD) family may also cause autistic features in individuals. We evaluated 226 autistic individuals for alterations in the four genes most homologous to MECP2: MBD1, MBD2, MBD3, and MBD4. A total of 46 alterations were identified in the four genes, including ten missense changes and two deletions that alter coding sequence. Several are either unique to our autistic population or cosegregate with affected individuals within a family, suggesting a possible relation of these variations to disease etiology. Variants include a R23M alteration in two affected half brothers which falls within the MBD domain of the MBD3 protein, as well as a frameshift in MBD4 that is predicted to truncate almost half of the protein. These results suggest that rare cases of autism may be influenced by mutations in members of the dynamic MBD protein family.
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- 2010
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28. Association and gene-gene interaction of SLC6A4 and ITGB3 in autism.
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Ma DQ, Rabionet R, Konidari I, Jaworski J, Cukier HN, Wright HH, Abramson RK, Gilbert JR, Cuccaro ML, Pericak-Vance MA, and Martin ER
- Subjects
- Alleles, Family Health, Female, Genetic Markers, Genetic Predisposition to Disease, Humans, Linkage Disequilibrium, Male, Polymorphism, Single Nucleotide, Sex Factors, Autistic Disorder genetics, Integrin beta3 genetics, Models, Genetic, Serotonin Plasma Membrane Transport Proteins genetics
- Abstract
Autism is a heritable neurodevelopmental disorder with substantial genetic heterogeneity. Studies point to possible links between autism and two serotonin related genes: SLC6A4 and ITGB3 with a sex-specific genetic effect and interaction between the genes. Despite positive findings, inconsistent results have complicated interpretation. This study seeks to validate and clarify previous findings in an independent dataset taking into account sex, family-history (FH) and gene-gene effects. Family-based association analysis was performed within each gene. Gene-gene interactions were tested using extended multifactor dimensionality reduction (EMDR) and MDR-phenomics (MDR-P) using sex of affecteds and FH as covariates. No significant associations with individual SNPs were found in the datasets stratified by sex, but associations did emerge when we stratified by family history. While not significant in the overall dataset, nominally significant association was identified at RS2066713 (P = 0.006) within SLC6A4 in family-history negative (FH-) families, at RS2066713 (P = 0.038) in family-history positive (FH+) families but with the opposite risk allele as in the FH- families. For ITGB3, nominally significant association was identified at RS3809865 overall (P = 0.040) and within FH+ families (P = 0.031). However, none of the associations survived the multiple testing correction. MDR-P confirmed gene-gene effects using sex of affecteds (P = 0.023) and family history (P = 0.014, survived the multiple testing corrections) as covariates. Our results indicate the extensive heterogeneity within these two genes among families. The potential interaction between SLC6A4 and ITGB3 may be clarified using family history as an indicator of genetic architecture, illustrating the importance of covariates as markers of heterogeneity in genetic analyses., ((c) 2009 Wiley-Liss, Inc.)
- Published
- 2010
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29. Examination of tetrahydrobiopterin pathway genes in autism.
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Schnetz-Boutaud NC, Anderson BM, Brown KD, Wright HH, Abramson RK, Cuccaro ML, Gilbert JR, Pericak-Vance MA, and Haines JL
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- Adolescent, Autistic Disorder physiopathology, Biopterins biosynthesis, Biopterins genetics, Brain physiopathology, Child, Child, Preschool, Chromosomes, Human, Pair 11 genetics, DNA Mutational Analysis, Female, Gene Expression Regulation genetics, Genetic Markers genetics, Genetic Predisposition to Disease genetics, Genetic Testing, Genotype, Humans, Male, Phosphorus-Oxygen Lyases genetics, Polymorphism, Single Nucleotide genetics, Young Adult, Autistic Disorder genetics, Autistic Disorder metabolism, Biopterins analogs & derivatives, Brain metabolism, Signal Transduction genetics
- Abstract
Autism is a complex disorder with a high degree of heritability and significant phenotypic and genotypic heterogeneity. Although candidate gene studies and genome-wide screens have failed to identify major causal loci associated with autism, numerous studies have proposed association with several variations in genes in the dopaminergic and serotonergic pathways. Because tetrahydrobiopterin (BH4) is the essential cofactor in the synthesis of these two neurotransmitters, we genotyped 25 SNPs in nine genes of the BH4 pathway in a total of 403 families. Significant nominal association was detected in the gene for 6-pyruvoyl-tetrahydropterin synthase, PTS (chromosome 11), with P = 0.009; this result was not restricted to an affected male-only subset. Multilocus interaction was detected in the BH4 pathway alone, but not across the serotonin, dopamine and BH4 pathways.
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- 2009
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30. Genomic and epigenetic evidence for oxytocin receptor deficiency in autism.
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Gregory SG, Connelly JJ, Towers AJ, Johnson J, Biscocho D, Markunas CA, Lintas C, Abramson RK, Wright HH, Ellis P, Langford CF, Worley G, Delong GR, Murphy SK, Cuccaro ML, Persico A, and Pericak-Vance MA
- Subjects
- Adolescent, Adult, Child, Child, Preschool, Comparative Genomic Hybridization, DNA Methylation, Female, Humans, Male, Microarray Analysis, Sequence Deletion, Young Adult, Autistic Disorder genetics, DNA genetics, DNA metabolism, Receptors, Oxytocin deficiency
- Abstract
Background: Autism comprises a spectrum of behavioral and cognitive disturbances of childhood development and is known to be highly heritable. Although numerous approaches have been used to identify genes implicated in the development of autism, less than 10% of autism cases have been attributed to single gene disorders., Methods: We describe the use of high-resolution genome-wide tilepath microarrays and comparative genomic hybridization to identify copy number variants within 119 probands from multiplex autism families. We next carried out DNA methylation analysis by bisulfite sequencing in a proband and his family, expanding this analysis to methylation analysis of peripheral blood and temporal cortex DNA of autism cases and matched controls from independent datasets. We also assessed oxytocin receptor (OXTR) gene expression within the temporal cortex tissue by quantitative real-time polymerase chain reaction (PCR)., Results: Our analysis revealed a genomic deletion containing the oxytocin receptor gene, OXTR (MIM accession no.: 167055), previously implicated in autism, was present in an autism proband and his mother who exhibits symptoms of obsessive-compulsive disorder. The proband's affected sibling did not harbor this deletion but instead may exhibit epigenetic misregulation of this gene through aberrant gene silencing by DNA methylation. Further DNA methylation analysis of the CpG island known to regulate OXTR expression identified several CpG dinucleotides that show independent statistically significant increases in the DNA methylation status in the peripheral blood cells and temporal cortex in independent datasets of individuals with autism as compared to control samples. Associated with the increase in methylation of these CpG dinucleotides is our finding that OXTR mRNA showed decreased expression in the temporal cortex tissue of autism cases matched for age and sex compared to controls., Conclusion: Together, these data provide further evidence for the role of OXTR and the oxytocin signaling pathway in the etiology of autism and, for the first time, implicate the epigenetic regulation of OXTR in the development of the disorder.See the related commentary by Gurrieri and Neri: http://www.biomedcentral.com/1741-7015/7/63.
- Published
- 2009
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31. Examination of association of genes in the serotonin system to autism.
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Anderson BM, Schnetz-Boutaud NC, Bartlett J, Wotawa AM, Wright HH, Abramson RK, Cuccaro ML, Gilbert JR, Pericak-Vance MA, and Haines JL
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- Adolescent, Child, Child, Preschool, Humans, Linkage Disequilibrium, Molecular Sequence Data, Molecular Structure, Serotonin chemistry, Serotonin metabolism, Tryptophan chemistry, Tryptophan metabolism, Young Adult, Autistic Disorder genetics, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Serotonin genetics
- Abstract
Autism is characterized as one of the pervasive developmental disorders, a spectrum of often severe behavioral and cognitive disturbances of early development. The high heritability of autism has driven multiple efforts to identify genetic variation that increases autism susceptibility. Numerous studies have suggested that variation in peripheral and central metabolism of serotonin (5-hydroxytryptamine) may play a role in the pathophysiology of autism. We screened 403 autism families for 45 single nucleotide polymorphisms in ten serotonin pathway candidate genes. Although genome-wide linkage scans in autism have provided support for linkage to various loci located within the serotonin pathway, our study does not provide strong evidence for linkage to any specific gene within the pathway. The most significant association (p = 0.0002; p = 0.02 after correcting for multiple comparisons) was found at rs1150220 (HTR3A) located on chromosome 11 ( approximately 113 Mb). To test specifically for multilocus effects, multifactor dimensionality reduction was employed, and a significant two-way interaction (p value = 0.01) was found between rs10830962, near MTNR1B (chromosome11; 92,338,075 bp), and rs1007631, near SLC7A5 (chromosome16; 86,413,596 bp). These data suggest that variation within genes on the serotonin pathway, particularly HTR3A, may have modest effects on autism risk.
- Published
- 2009
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32. A genome-wide association study of autism reveals a common novel risk locus at 5p14.1.
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Ma D, Salyakina D, Jaworski JM, Konidari I, Whitehead PL, Andersen AN, Hoffman JD, Slifer SH, Hedges DJ, Cukier HN, Griswold AJ, McCauley JL, Beecham GW, Wright HH, Abramson RK, Martin ER, Hussman JP, Gilbert JR, Cuccaro ML, Haines JL, and Pericak-Vance MA
- Subjects
- Adolescent, Child, Child, Preschool, Female, Genetic Predisposition to Disease, Humans, Male, Pedigree, Polymorphism, Single Nucleotide, White People genetics, Young Adult, Autistic Disorder genetics, Chromosomes, Human, Pair 5 genetics, Genome-Wide Association Study
- Abstract
Although autism is one of the most heritable neuropsychiatric disorders, its underlying genetic architecture has largely eluded description. To comprehensively examine the hypothesis that common variation is important in autism, we performed a genome-wide association study (GWAS) using a discovery dataset of 438 autistic Caucasian families and the Illumina Human 1M beadchip. 96 single nucleotide polymorphisms (SNPs) demonstrated strong association with autism risk (p-value < 0.0001). The validation of the top 96 SNPs was performed using an independent dataset of 487 Caucasian autism families genotyped on the 550K Illumina BeadChip. A novel region on chromosome 5p14.1 showed significance in both the discovery and validation datasets. Joint analysis of all SNPs in this region identified 8 SNPs having improved p-values (3.24E-04 to 3.40E-06) than in either dataset alone. Our findings demonstrate that in addition to multiple rare variations, part of the complex genetic architecture of autism involves common variation.
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- 2009
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33. Sleep patterns in patients with Huntington's disease and their unaffected first-degree relatives: a brief report.
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Cuturic M, Abramson RK, Vallini D, Frank EM, and Shamsnia M
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- Adult, Family, Female, Humans, Huntington Disease genetics, Male, Middle Aged, Polysomnography, Severity of Illness Index, Wakefulness genetics, Huntington Disease physiopathology, Sleep genetics, Sleep Stages genetics
- Abstract
Polysomnographic sleep patterns in Huntington's disease (HD) have been studied sporadically in small groups of patients, providing variable results. In this study, by comparing the polysomnographic sleep patterns of HD patients and their unaffected relatives, identifying sleep traits more specifically related to the HD gene was attempted. The results corroborated previously reported findings of prolonged sleep latency and the virtual absence of nocturnal respiratory disturbances in early HD. Sleep latency in the HD patients positively correlated with the results of a screening test for frontal lobe dysfunction. Larger, more standardized studies will be needed to correlate genetic markers and sleep patterns in HD.
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- 2009
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34. Examination of association to autism of common genetic variationin genes related to dopamine.
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Anderson BM, Schnetz-Boutaud N, Bartlett J, Wright HH, Abramson RK, Cuccaro ML, Gilbert JR, Pericak-Vance MA, and Haines JL
- Subjects
- Adolescent, Child, Child, Preschool, Gene Expression genetics, Humans, Male, Young Adult, Autistic Disorder genetics, Dopamine genetics, Genetic Linkage genetics, Genetic Variation genetics
- Abstract
Autism is a severe neurodevelopmental disorder characterized by a triad of complications. Autistic individuals display significant disturbances in language and reciprocal social interactions, combined with repetitive and stereotypic behaviors. Prevalence studies suggest that autism is more common than originally believed, with recent estimates citing a rate of one in 150. Although multiple genetic linkage and association studies have yielded multiple suggestive genes or chromosomal regions, a specific risk locus has yet to be identified and widely confirmed. Because many etiologies have been suggested for this complex syndrome, we hypothesize that one of the difficulties in identifying autism genes is that multiple genetic variants may be required to significantly increase the risk of developing autism. Thus, we took the alternative approach of examining 14 prominent dopamine pathway candidate genes for detailed study by genotyping 28 single nucleotide polymorphisms. Although we did observe a nominally significant association for rs2239535 (P=0.008) on chromosome 20, single-locus analysis did not reveal any results as significant after correction for multiple comparisons. No significant interaction was identified when Multifactor Dimensionality Reduction was employed to test specifically for multilocus effects. Although genome-wide linkage scans in autism have provided support for linkage to various loci along the dopamine pathway, our study does not provide strong evidence of linkage or association to any specific gene or combination of genes within the pathway. These results demonstrate that common genetic variation within the tested genes located within this pathway at most play a minor to moderate role in overall autism pathogenesis.
- Published
- 2008
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35. Autism in African American families: clinical-phenotypic findings.
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Cuccaro ML, Brinkley J, Abramson RK, Hall A, Wright HH, Hussman JP, Gilbert JR, and Pericak-Vance MA
- Subjects
- Adolescent, Adult, Child, Child, Preschool, Female, Humans, Language Development Disorders genetics, Male, Middle Aged, Multicenter Studies as Topic, Phenotype, Black or African American genetics, Autistic Disorder genetics, Quantitative Trait, Heritable
- Abstract
Unlike other complex diseases, the study of autism has been almost exclusively limited to Caucasian families. This study represents a first effort to examine clinical and phenotypic findings in individuals with autism from African American families. Drawing from an ongoing genetic study of autism we compared African American (N = 46, mean age = 118 months) and Caucasian (N = 298, mean age = 105 months) groups on autism symptoms and developmental language symptoms. The African American group showed greater delays in language but did not differ from the Caucasian group on core autism symptoms. These findings, while suggestive of a more severe phenotype, may reflect an ascertainment bias. Nonetheless, we believe that more studies of racial-ethnic groups should be conducted with several goals in mind including strengthening recruiting strategies to include more ethnic-racial groups and more thoughtful evaluation of phenotypic traits. Such considerations will aid greatly in the search for genetic variants in autism., (2007 Wiley-Liss, Inc.)
- Published
- 2007
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36. Factor analysis of the aberrant behavior checklist in individuals with autism spectrum disorders.
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Brinkley J, Nations L, Abramson RK, Hall A, Wright HH, Gabriels R, Gilbert JR, Pericak-Vance MA, and Cuccaro ML
- Subjects
- Adolescent, Adult, Autistic Disorder genetics, Autistic Disorder psychology, Child, Child, Preschool, Female, Humans, Hyperkinesis diagnosis, Hyperkinesis genetics, Hyperkinesis psychology, Intelligence, Interpersonal Relations, Irritable Mood, Language Development Disorders diagnosis, Language Development Disorders genetics, Language Development Disorders psychology, Lethargy, Male, Psychometrics, Reproducibility of Results, Social Adjustment, Social Behavior Disorders genetics, Social Behavior Disorders psychology, Speech Disorders diagnosis, Speech Disorders genetics, Speech Disorders psychology, Stereotyped Behavior, Autistic Disorder diagnosis, Personality Assessment statistics & numerical data, Social Behavior Disorders diagnosis
- Abstract
Exploratory factor analysis (varimax and promax rotations) of the aberrant behavior checklist-community version (ABC) in 275 individuals with Autism spectrum disorder (ASD) identified four- and five-factor solutions which accounted for >70% of the variance. Confirmatory factor analysis (Lisrel 8.7) revealed indices of moderate fit for the five-factor solution. Our results suggest that the factor structure of the ABC is robust within an ASD sample. Both solutions yielded a three items self-injury factor. Stratifying on this factor, we identified significant differences between the high- and low-self injury groups on ABC subscales. The emergence of a self-injury factor, while not suggestive of a new subscale, warrants further exploration as a tool that could help dissect relevant neurobiobehavioral groups in ASD.
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- 2007
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37. Investigation of potential gene-gene interactions between APOE and RELN contributing to autism risk.
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Ashley-Koch AE, Jaworski J, Ma DQ, Mei H, Ritchie MD, Skaar DA, Robert Delong G, Worley G, Abramson RK, Wright HH, Cuccaro ML, Gilbert JR, Martin ER, and Pericak-Vance MA
- Subjects
- Electron Spin Resonance Spectroscopy, Family, Female, Genetic Predisposition to Disease, Humans, Male, Polymorphism, Genetic, Reelin Protein, Risk Assessment, United States, White People, Apolipoproteins E genetics, Autistic Disorder genetics, Cell Adhesion Molecules, Neuronal genetics, Extracellular Matrix Proteins genetics, Nerve Tissue Proteins genetics, Polymorphism, Single Nucleotide, Serine Endopeptidases genetics
- Abstract
Background: Several candidate gene studies support RELN as susceptibility gene for autism. Given the complex inheritance pattern of autism, it is expected that gene-gene interactions will exist. A logical starting point for examining potential gene-gene interactions is to evaluate the joint effects of genes involved in a common biological pathway. RELN shares a common biological pathway with APOE, and Persico et al. have observed transmission distortion of the APOE-2 allele in autism families., Objective: We evaluated RELN and APOE for joint effects in autism susceptibility., Methods: A total of 470 Caucasian autism families were analyzed (265 multiplex; 168 trios with no family history; 37 positive family history but only one sampled affected). These families were genotyped for 11 RELN polymorphisms, including the 5' untranslated region repeat previously associated with autism, as well as for the APOE functional allele. We evaluated single locus allelic and genotypic association with the pedigree disequilibrium test and geno-PDT, respectively. Multilocus effects were evaluated using the extended version of the multifactorial dimensionality reduction method., Results: For the single locus analyses, there was no evidence for an effect of APOE in our data set. Evidence for association with RELN (rs2,073,559; trio subset P=0.07 PDT; P=0.001 geno-PDT; overall geno-PDT P=0.05), however, was found. For multilocus geno-PDT analysis, the joint genotype of APOE and RELN rs2,073,559 was highly significant (trio subset, global P=0.0001), probably driven by the RELN single locus effect. Using the extended version of the multifactorial dimensionality reduction method to detect multilocus effects, there were no statistically significant associations for any of the n-locus combinations involving RELN or APOE in the overall or multiplex subset. In the trio subset, 1-locus and 2-locus models selected only markers in RELN as best models for predicting autism case status., Conclusion: Thus, we conclude that there is no main effect of APOE in our autism data set, nor is there any evidence for a joint effect of APOE with RELN. RELN, however, remains a good candidate for autism susceptibility.
- Published
- 2007
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38. A comparison of repetitive behaviors in Aspergers Disorder and high functioning autism.
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Cuccaro ML, Nations L, Brinkley J, Abramson RK, Wright HH, Hall A, Gilbert J, and Pericak-Vance MA
- Subjects
- Adolescent, Child, Female, Humans, Male, Severity of Illness Index, Stereotypic Movement Disorder diagnosis, Surveys and Questionnaires, Asperger Syndrome epidemiology, Autistic Disorder epidemiology, Stereotypic Movement Disorder epidemiology
- Abstract
In this study we compared 33 IQ and age matched pairs of individuals with Aspergers Disorder (ASP) and high functioning autism (HFA) on measures of repetitive behavior. On the Repetitive Behavior Scale-Revised (RBS-R), the ASP and HFA groups showed no differences in RBS-R Intensity score (severity) score or Frequency score (number of problems present). This suggests that the two groups are similar with respect to the intensity or severity of repetitive behaviors and the presence of repetitive behaviors. At the item level there were no differences on scales typically associated with autism (Stereotyped Behavior) and ASP (Restricted Interests). Similarly, there were no differences between the groups on the Aberrant Behavior Checklist Stereotypy scale. These findings add to the body of literature showing that HFA and ASP fail to differ with respect to repetitive behaviors. The implications of the findings for neurobiologic and genetic studies are discussed.
- Published
- 2007
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39. Dissecting the locus heterogeneity of autism: significant linkage to chromosome 12q14.
- Author
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Ma DQ, Cuccaro ML, Jaworski JM, Haynes CS, Stephan DA, Parod J, Abramson RK, Wright HH, Gilbert JR, Haines JL, and Pericak-Vance MA
- Subjects
- Chromosome Mapping methods, Chromosomes, Human, Pair 1, Chromosomes, Human, Pair 14, Female, Genotype, Humans, Lod Score, Male, Oligonucleotide Array Sequence Analysis methods, Polymorphism, Single Nucleotide, Sex Factors, Autistic Disorder genetics, Chromosomes, Human, Pair 12, Family Health, Genetic Predisposition to Disease
- Abstract
Autism is a common neurodevelopmental disorder with a significant genetic component and locus heterogeneity. To date, 12 microsatellite genome screens have been performed using various data sets of sib-pair families (parents and affected children) resulting in numerous regions of potential linkage across the genome. However, no universal region or consistent candidate gene from these regions has emerged. The use of large, extended pedigrees is a recognized powerful approach to identify significant linkage results, as these families potentially contain more potential linkage information than sib-pair families. A genome-wide linkage analysis was performed on 26 extended autism families (65 affected, 184 total individuals). Each family had two to four affected individuals comprised of either avuncular or cousin pairs. For analysis, we used a high-density single-nucleotide polymorphism genotyping assay, the Affymetrix GeneChip Human Mapping 10K array. Two-point analysis gave peak heterogeneity limit of detection (HLOD) of 2.82 at rs2877739 on chromosome 14q. Suggestive linkage evidence (HLOD>2) from a two-point analysis was also found on chromosomes 1q, 2q, 5q, 6p,11q and 12q. Chromosome 12q was the only region showing significant linkage evidence by multipoint analysis with a peak HLOD=3.02 at rs1445442. In addition, this linkage evidence was enhanced significantly in the families with only male affected (multipoint HLOD=4.51), suggesting a significant gender-specific effect in the etiology of autism. Chromosome-wide haplotype analyses on chromosome 12 localized the potential autism gene to a 4 cM region shared among the affected individuals across linked families. This novel linkage peak on chromosome 12q further supports the hypothesis of substantial locus heterogeneity in autism.
- Published
- 2007
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40. Mapping autism risk loci using genetic linkage and chromosomal rearrangements.
- Author
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Szatmari P, Paterson AD, Zwaigenbaum L, Roberts W, Brian J, Liu XQ, Vincent JB, Skaug JL, Thompson AP, Senman L, Feuk L, Qian C, Bryson SE, Jones MB, Marshall CR, Scherer SW, Vieland VJ, Bartlett C, Mangin LV, Goedken R, Segre A, Pericak-Vance MA, Cuccaro ML, Gilbert JR, Wright HH, Abramson RK, Betancur C, Bourgeron T, Gillberg C, Leboyer M, Buxbaum JD, Davis KL, Hollander E, Silverman JM, Hallmayer J, Lotspeich L, Sutcliffe JS, Haines JL, Folstein SE, Piven J, Wassink TH, Sheffield V, Geschwind DH, Bucan M, Brown WT, Cantor RM, Constantino JN, Gilliam TC, Herbert M, Lajonchere C, Ledbetter DH, Lese-Martin C, Miller J, Nelson S, Samango-Sprouse CA, Spence S, State M, Tanzi RE, Coon H, Dawson G, Devlin B, Estes A, Flodman P, Klei L, McMahon WM, Minshew N, Munson J, Korvatska E, Rodier PM, Schellenberg GD, Smith M, Spence MA, Stodgell C, Tepper PG, Wijsman EM, Yu CE, Rogé B, Mantoulan C, Wittemeyer K, Poustka A, Felder B, Klauck SM, Schuster C, Poustka F, Bölte S, Feineis-Matthews S, Herbrecht E, Schmötzer G, Tsiantis J, Papanikolaou K, Maestrini E, Bacchelli E, Blasi F, Carone S, Toma C, Van Engeland H, de Jonge M, Kemner C, Koop F, Langemeijer M, Hijmans C, Staal WG, Baird G, Bolton PF, Rutter ML, Weisblatt E, Green J, Aldred C, Wilkinson JA, Pickles A, Le Couteur A, Berney T, McConachie H, Bailey AJ, Francis K, Honeyman G, Hutchinson A, Parr JR, Wallace S, Monaco AP, Barnby G, Kobayashi K, Lamb JA, Sousa I, Sykes N, Cook EH, Guter SJ, Leventhal BL, Salt J, Lord C, Corsello C, Hus V, Weeks DE, Volkmar F, Tauber M, Fombonne E, Shih A, and Meyer KJ
- Subjects
- Autistic Disorder diagnosis, Family, Female, Genetic Variation, Humans, Lod Score, Male, Risk Factors, Autistic Disorder genetics, Chromosome Aberrations, Chromosome Mapping, Genetic Linkage, Genetic Predisposition to Disease, Genetic Testing methods
- Abstract
Autism spectrum disorders (ASDs) are common, heritable neurodevelopmental conditions. The genetic architecture of ASDs is complex, requiring large samples to overcome heterogeneity. Here we broaden coverage and sample size relative to other studies of ASDs by using Affymetrix 10K SNP arrays and 1,181 [corrected] families with at least two affected individuals, performing the largest linkage scan to date while also analyzing copy number variation in these families. Linkage and copy number variation analyses implicate chromosome 11p12-p13 and neurexins, respectively, among other candidate loci. Neurexins team with previously implicated neuroligins for glutamatergic synaptogenesis, highlighting glutamate-related genes as promising candidates for contributing to ASDs.
- Published
- 2007
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41. Autism: the difficult hunt for disease genes.
- Author
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Abramson RK and Wright HH
- Subjects
- Autistic Disorder etiology, Disease Susceptibility, Genetic Predisposition to Disease, Genomics, Humans, Risk Factors, Autistic Disorder genetics
- Published
- 2006
42. Genome-wide significance for a modifier of age at neurological onset in Huntington's disease at 6q23-24: the HD MAPS study.
- Author
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Li JL, Hayden MR, Warby SC, Durr A, Morrison PJ, Nance M, Ross CA, Margolis RL, Rosenblatt A, Squitieri F, Frati L, Gómez-Tortosa E, García CA, Suchowersky O, Klimek ML, Trent RJ, McCusker E, Novelletto A, Frontali M, Paulsen JS, Jones R, Ashizawa T, Lazzarini A, Wheeler VC, Prakash R, Xu G, Djoussé L, Mysore JS, Gillis T, Hakky M, Cupples LA, Saint-Hilaire MH, Cha JH, Hersch SM, Penney JB, Harrison MB, Perlman SL, Zanko A, Abramson RK, Lechich AJ, Duckett A, Marder K, Conneally PM, Gusella JF, MacDonald ME, and Myers RH
- Subjects
- Adolescent, Adult, Age of Onset, Aged, Genetic Linkage, Genetic Markers, Genome, Human, Humans, Middle Aged, Quantitative Trait Loci, Chromosomes, Human, Pair 6, Huntington Disease genetics, Models, Genetic, Trinucleotide Repeats genetics
- Abstract
Background: Age at onset of Huntington's disease (HD) is correlated with the size of the abnormal CAG repeat expansion in the HD gene; however, several studies have indicated that other genetic factors also contribute to the variability in HD age at onset. To identify modifier genes, we recently reported a whole-genome scan in a sample of 629 affected sibling pairs from 295 pedigrees, in which six genomic regions provided suggestive evidence for quantitative trait loci (QTL), modifying age at onset in HD., Methods: In order to test the replication of this finding, eighteen microsatellite markers, three from each of the six genomic regions, were genotyped in 102 newly recruited sibling pairs from 69 pedigrees, and data were analyzed, using a multipoint linkage variance component method, in the follow-up sample and the combined sample of 352 pedigrees with 753 sibling pairs., Results: Suggestive evidence for linkage at 6q23-24 in the follow-up sample (LOD = 1.87, p = 0.002) increased to genome-wide significance for linkage in the combined sample (LOD = 4.05, p = 0.00001), while suggestive evidence for linkage was observed at 18q22, in both the follow-up sample (LOD = 0.79, p = 0.03) and the combined sample (LOD = 1.78, p = 0.002). Epistatic analysis indicated that there is no interaction between 6q23-24 and other loci., Conclusion: In this replication study, linkage for modifier of age at onset in HD was confirmed at 6q23-24. Evidence for linkage was also found at 18q22. The demonstration of statistically significant linkage to a potential modifier locus opens the path to location cloning of a gene capable of altering HD pathogenesis, which could provide a validated target for therapeutic development in the human patient.
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- 2006
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43. Investigation of autism and GABA receptor subunit genes in multiple ethnic groups.
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Collins AL, Ma D, Whitehead PL, Martin ER, Wright HH, Abramson RK, Hussman JP, Haines JL, Cuccaro ML, Gilbert JR, and Pericak-Vance MA
- Subjects
- Ethnicity, Genetic Testing, Genetic Variation, Haplotypes, Humans, Polymorphism, Single Nucleotide, Autistic Disorder genetics, Gene Frequency, Genetic Predisposition to Disease, Linkage Disequilibrium, Receptors, GABA genetics
- Abstract
Autism is a neurodevelopmental disorder of complex genetics, characterized by impairment in social interaction and communication, as well as repetitive behavior. Multiple lines of evidence, including alterations in levels of GABA and GABA receptors in autistic patients, indicate that the GABAergic system, which is responsible for synaptic inhibition in the adult brain, may be involved in autism. Previous studies in our lab indicated association of noncoding single nucleotide polymorphisms (SNPs) within a GABA receptor subunit gene on chromosome 4, GABRA4, and interaction between SNPs in GABRA4 and GABRB1 (also on chromosome 4), within Caucasian autism patients. Studies of genetic variation in African-American autism families are rare. Analysis of 557 Caucasian and an independent population of 54 African-American families with 35 SNPs within GABRB1 and GABRA4 strengthened the evidence for involvement of GABRA4 in autism risk in Caucasians (rs17599165, p=0.0015; rs1912960, p=0.0073; and rs17599416, p=0.0040) and gave evidence of significant association in African-Americans (rs2280073, p=0.0287 and rs16859788, p=0.0253). The GABRA4 and GABRB1 interaction was also confirmed in the Caucasian dataset (most significant pair, rs1912960 and rs2351299; p=0.004). Analysis of the subset of families with a positive history of seizure activity in at least one autism patient revealed no association to GABRA4; however, three SNPs within GABRB1 showed significant allelic association; rs2351299 (p=0.0163), rs4482737 (p=0.0339), and rs3832300 (p=0.0253). These results confirmed our earlier findings, indicating GABRA4 and GABRB1 as genes contributing to autism susceptibility, extending the effect to multiple ethnic groups and suggesting seizures as a stratifying phenotype.
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- 2006
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44. An analysis paradigm for investigating multi-locus effects in complex disease: examination of three GABA receptor subunit genes on 15q11-q13 as risk factors for autistic disorder.
- Author
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Ashley-Koch AE, Mei H, Jaworski J, Ma DQ, Ritchie MD, Menold MM, Delong GR, Abramson RK, Wright HH, Hussman JP, Cuccaro ML, Gilbert JR, Martin ER, and Pericak-Vance MA
- Subjects
- Chromosome Mapping, Data Interpretation, Statistical, Epistasis, Genetic, Haplotypes, Humans, Models, Genetic, Polymorphism, Single Nucleotide, Protein Subunits genetics, Risk Factors, Autistic Disorder genetics, Chromosomes, Human, Pair 15, Computational Biology methods, Genetic Predisposition to Disease, Receptors, GABA-A genetics
- Abstract
Gene-gene interactions are likely involved in many complex genetic disorders and new statistical approaches for detecting such interactions are needed. We propose a multi-analytic paradigm, relying on convergence of evidence across multiple analysis tools. Our paradigm tests for main and interactive effects, through allele, genotype and haplotype association. We applied our paradigm to genotype data from three GABAA receptor subunit genes (GABRB3, GABRA5, and GABRG3) on chromosome 15 in 470 Caucasian autism families. Previously implicated in autism, we hypothesized these genes interact to contribute to risk. We detected no evidence of main effects by allelic (PDT, FBAT) or genotypic (genotype-PDT) association at individual markers. However, three two-marker haplotypes in GABRG3 were significant (HBAT). We detected no significant multi-locus associations using genotype-PDT analysis or the EMDR data reduction program. However, consistent with the haplotype findings, the best single locus EMDR model selected a GABRG3 marker. Further, the best pairwise genotype-PDT result involved GABRB3 and GABRG3, and all multi-locus EMDR models also selected GABRB3 and GABRG3 markers. GABA receptor subunit genes do not significantly interact to contribute to autism risk in our overall data set. However, the consistency of results across analyses suggests that we have defined a useful framework for evaluating gene-gene interactions.
- Published
- 2006
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45. Acute hyperammonemic coma with chronic valproic acid therapy.
- Author
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Cuturic M and Abramson RK
- Subjects
- Anticonvulsants therapeutic use, Coma complications, Coma genetics, Electroencephalography, Epilepsy complications, Epilepsy drug therapy, Epilepsy genetics, Female, Humans, Hyperammonemia complications, Middle Aged, Pedigree, Valproic Acid therapeutic use, Anticonvulsants adverse effects, Coma chemically induced, Hyperammonemia chemically induced, Valproic Acid adverse effects
- Abstract
Objective: To report a case of dose-related hyperammonemic coma without liver failure in a patient receiving chronic valproate therapy., Case Summary: A 56-year-old woman with poorly controlled epilepsy, receiving valproate at subtherapeutic levels for 6 years, developed a life-threatening hyperammonemic coma following a moderate dosage increase., Discussion: Hyperammonemic coma without associated liver failure is an extremely rare complication of valproate therapy, described primarily in patients with inborn errors of metabolism and occurring idiosyncratically during initial stages of therapy. In our case, family history was suggestive of an X-linked disorder, raising the possibility that our patient may have been an asymptomatic carrier of a urea cycle enzyme deficiency unmasked by valproate therapy. To our knowledge, as of October 24, 2005, only one prior case of hyperammonemic coma in the context of chronic valproate monotherapy has been described. Application of the Naranjo probability scale score suggests that a causal relationship between valproic acid and hyperammonemic coma was probable., Conclusions: The widespread use of valproic acid emphasizes the need to maintain a high degree of suspicion with respect to this rare but potentially fatal adverse effect at all times, regardless of therapy duration.
- Published
- 2005
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46. Identification of significant association and gene-gene interaction of GABA receptor subunit genes in autism.
- Author
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Ma DQ, Whitehead PL, Menold MM, Martin ER, Ashley-Koch AE, Mei H, Ritchie MD, Delong GR, Abramson RK, Wright HH, Cuccaro ML, Hussman JP, Gilbert JR, and Pericak-Vance MA
- Subjects
- Genetic Markers genetics, Genetic Testing, Genotype, Haplotypes genetics, Humans, Logistic Models, Multifactorial Inheritance genetics, Pedigree, Polymorphism, Single Nucleotide, United States, White People genetics, Autistic Disorder genetics, Genetic Predisposition to Disease genetics, Models, Genetic, Receptors, GABA-A genetics
- Abstract
Autism is a common neurodevelopmental disorder with a significant genetic component. Existing research suggests that multiple genes contribute to autism and that epigenetic effects or gene-gene interactions are likely contributors to autism risk. However, these effects have not yet been identified. Gamma-aminobutyric acid (GABA), the primary inhibitory neurotransmitter in the adult brain, has been implicated in autism etiology. Fourteen known autosomal GABA receptor subunit genes were studied to look for the genes associated with autism and their possible interactions. Single-nucleotide polymorphisms (SNPs) were screened in the following genes: GABRG1, GABRA2, GABRA4, and GABRB1 on chromosome 4p12; GABRB2, GABRA6, GABRA1, GABRG2, and GABRP on 5q34-q35.1; GABRR1 and GABRR2 on 6q15; and GABRA5, GABRB3, and GABRG3 on 15q12. Intronic and/or silent mutation SNPs within each gene were analyzed in 470 white families with autism. Initially, SNPs were used in a family-based study for allelic association analysis--with the pedigree disequilibrium test and the family-based association test--and for genotypic and haplotypic association analysis--with the genotype-pedigree disequilibrium test (geno-PDT), the association in the presence of linkage (APL) test, and the haplotype family-based association test. Next, with the use of five refined independent marker sets, extended multifactor-dimensionality reduction (EMDR) analysis was employed to identify the models with locus joint effects, and interaction was further verified by conditional logistic regression. Significant allelic association was found for markers RS1912960 (in GABRA4; P = .01) and HCV9866022 (in GABRR2; P = .04). The geno-PDT found significant genotypic association for HCV8262334 (in GABRA2), RS1912960 and RS2280073 (in GABRA4), and RS2617503 and RS12187676 (in GABRB2). Consistent with the allelic and genotypic association results, EMDR confirmed the main effect at RS1912960 (in GABRA4). EMDR also identified a significant two-locus gene-gene effect model involving RS1912960 in GABRA4 and RS2351299 in GABRB1. Further support for this two-locus model came from both the multilocus geno-PDT and the APL test, which indicated a common genotype and haplotype combination positively associated with disease. Finally, these results were also consistent with the results from the conditional logistic regression, which confirmed the interaction between GABRA4 and GABRB1 (odds ratio = 2.9 for interaction term; P = .002). Through the convergence of all analyses, we conclude that GABRA4 is involved in the etiology of autism and potentially increases autism risk through interaction with GABRB1. These results support the hypothesis that GABA receptor subunit genes are involved in autism, most likely via complex gene-gene interactions.
- Published
- 2005
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47. Ordered-subset analysis of savant skills in autism for 15q11-q13.
- Author
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Ma DQ, Jaworski J, Menold MM, Donnelly S, Abramson RK, Wright HH, Delong GR, Gilbert JR, Pericak-Vance MA, and Cuccaro ML
- Subjects
- Adolescent, Adult, Child, Child, Preschool, Chromosome Mapping, Family Health, Female, Genetic Linkage, Genotype, Humans, Lod Score, Male, Microsatellite Repeats genetics, Autistic Disorder genetics, Chromosomes, Human, Pair 15 genetics
- Abstract
Autism is a complex disorder characterized by genetic and phenotypic heterogeneity. Analysis of phenotypically homogeneous subtypes has been used to both confirm and narrow potential autism linkage regions such as the chromosomal region 15q11-q13. Increased evidence for linkage in this region had been found in a subgroup of 21 autism families (total families = 94) stratified based on a savant skill factor (SSF) from the Autism Diagnostic Interview, Revised (ADI-R). We examined the savant phenotypic finding in our sample of 91 multiplex autism families. Using two-point parametric analysis in stratification with a cutoff point of a savant skill score of 0.16, our families failed to demonstrate linkage to 15q11-q13. In addition, ordered subset analysis (OSA) using SSF as a covariate also failed to show evidence for linkage. Our findings do not support savant skills as an informative phenotypic subset for linkage in our sample., (Copyright 2005 Wiley-Liss, Inc.)
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- 2005
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48. Accelerated head growth in early development of individuals with autism.
- Author
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Dementieva YA, Vance DD, Donnelly SL, Elston LA, Wolpert CM, Ravan SA, DeLong GR, Abramson RK, Wright HH, and Cuccaro ML
- Subjects
- Adaptation, Psychological, Adolescent, Adult, Autistic Disorder etiology, Autistic Disorder psychology, Cephalometry, Child, Child Behavior, Child, Preschool, Female, Humans, Longitudinal Studies, Male, Risk Factors, Autistic Disorder physiopathology, Child Development physiology, Head growth & development
- Abstract
Macrocephaly is one of the most consistent physical findings reported in autistic individuals. Previous studies attempted to determine if macrocephaly is associated with risk for autism. This study hypothesizes that an abnormal acceleration in head growth during early development, rather than macrocephaly, is associated with autism risk. To investigate this hypothesis, head circumference data were examined in 251 individuals from 82 multiplex (at least two individuals with autism) and 113 sporadic (no family history) families with autism. This examination included longitudinal measurements for 79 individuals. Nineteen percent of the original 251 individuals were found to have macrocephaly (head circumference >97%). Abnormal acceleration in head growth was defined as an increase of 25 or more percentile points in head circumference between two consecutive measurements. Thirty-five percent of individuals with multiple head circumference records had an abnormal increase in head circumference. Furthermore, autistic individuals with accelerated head growth in early childhood displayed higher levels of adaptive functioning and less social impairment. This study confirms the presence of abnormal acceleration in head growth during the first and second months of life in a subgroup of autistic individuals.
- Published
- 2005
- Full Text
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49. Analysis of the autism chromosome 2 linkage region: GAD1 and other candidate genes.
- Author
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Rabionet R, Jaworski JM, Ashley-Koch AE, Martin ER, Sutcliffe JS, Haines JL, Delong GR, Abramson RK, Wright HH, Cuccaro ML, Gilbert JR, and Pericak-Vance MA
- Subjects
- Autistic Disorder diagnosis, Child, Family, Humans, Language Development Disorders genetics, Microsatellite Repeats genetics, Polymorphism, Single Nucleotide genetics, Quality Control, Autistic Disorder genetics, Chromosomes, Human, Pair 2 genetics, Genetic Linkage genetics, Glutamate Decarboxylase genetics, Isoenzymes genetics
- Abstract
Autism has a strong and complex genetic component, involving several genes. Genomic screens, including our own, have shown suggestive evidence for linkage over a 20-30 cM region on chromosome 2q31-q33. Two subsequent reports showed that the linkage evidence increased in the subset of families with phrase speech delay (PSD), defined as onset of phrase speech later than 3 years of age. To further investigate the linkage in the presumptive candidate region, microsatellite markers in a 2 cM grid covering the interval from 164 to 203 cM were analyzed in 110 multiplex (2 or more sampled autism patients) families. A maximum heterogeneity LOD (HLOD) score of 1.54 was detected at D2S1776 (173 cM) in the overall dataset (dominant model), increasing to 1.71 in the PSD subset. While not conclusive, these data continue to provide suggestive evidence for linkage, particularly considering replication by multiple independent groups. Positive LOD scores extended over the entire region, continuing to define a broad candidate interval. Association studies were performed on several functional candidates mapping within the region. These included GAD1, encoding GAD67, whose levels are reduced in autopsy brain material from autistic subjects, and STK17B, ABI2, CTLA4, CD28, NEUROD1, PDE1A, HOXD1 and DLX2. We found no evidence for significant allelic association between autism and any of these candidates, suggesting that they do not play a major role in the genetics of autism or that substantial allelic heterogeneity at any one of these loci dilutes potential disease-allele association.
- Published
- 2004
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50. Evidence for a modifier of onset age in Huntington disease linked to the HD gene in 4p16.
- Author
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Djoussé L, Knowlton B, Hayden MR, Almqvist EW, Brinkman RR, Ross CA, Margolis RL, Rosenblatt A, Durr A, Dode C, Morrison PJ, Novelletto A, Frontali M, Trent RJ, McCusker E, Gómez-Tortosa E, Mayo Cabrero D, Jones R, Zanko A, Nance M, Abramson RK, Suchowersky O, Paulsen JS, Harrison MB, Yang Q, Cupples LA, Mysore J, Gusella JF, MacDonald ME, and Myers RH
- Subjects
- Adolescent, Adult, Age of Onset, Aged, Aged, 80 and over, Child, Genotype, Humans, MSX1 Transcription Factor, Middle Aged, Trinucleotide Repeats, Chromosomes, Human, Pair 4, Genetic Linkage, Homeodomain Proteins genetics, Huntington Disease genetics, Transcription Factors genetics
- Abstract
Huntington disease (HD) is a neurodegenerative disorder caused by the abnormal expansion of CAG repeats in the HD gene on chromosome 4p16.3. A recent genome scan for genetic modifiers of age at onset of motor symptoms (AO) in HD suggests that one modifier may reside in the region close to the HD gene itself. We used data from 535 HD participants of the New England Huntington cohort and the HD MAPS cohort to assess whether AO was influenced by any of the three markers in the 4p16 region: MSX1 (Drosophila homeo box homologue 1, formerly known as homeo box 7, HOX7), Delta2642 (within the HD coding sequence), and BJ56 ( D4S127). Suggestive evidence for an association was seen between MSX1 alleles and AO, after adjustment for normal CAG repeat, expanded repeat, and their product term (model P value 0.079). Of the variance of AO that was not accounted for by HD and normal CAG repeats, 0.8% could be attributed to the MSX1 genotype. Individuals with MSX1 genotype 3/3 tended to have younger AO. No association was found between Delta2642 (P=0.44) and BJ56 (P=0.73) and AO. This study supports previous studies suggesting that there may be a significant genetic modifier for AO in HD in the 4p16 region. Furthermore, the modifier may be present on both HD and normal chromosomes bearing the 3 allele of the MSX1 marker.
- Published
- 2004
- Full Text
- View/download PDF
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