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Hegarty JP, Lazzeroni LC, Raman MM, Pegoraro LFL, Monterrey JC, Cleveland SC, Hallmayer JF, Wolke ON, Phillips JM, Reiss AL, Hardan AY. Genetic and Environmental Influences on Lobar Brain Structures in Twins With Autism. Cereb Cortex 2020; 30:1946-1956. [PMID: 31711118 DOI: 10.1093/cercor/bhz215] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 07/26/2019] [Accepted: 08/18/2019] [Indexed: 11/13/2022] Open
Abstract
This investigation examined whether the variation of cerebral structure is associated with genetic or environmental factors in children with autism spectrum disorder (ASD) compared with typically developing (TD) controls. T1-weighted magnetic resonance imaging scans were obtained from twin pairs (aged 6-15 years) in which at least one twin was diagnosed with ASD or both were TD. Good quality data were available from 30 ASD, 18 discordant, and 34 TD pairs (n = 164). Structural measures (volume, cortical thickness, and surface area) were generated with FreeSurfer, and ACE modeling was completed. Lobar structures were primarily genetically mediated in TD twins (a2 = 0.60-0.89), except thickness of the temporal (a2 = 0.33 [0.04, 0.63]) and occipital lobes (c2 = 0.61 [0.45, 0.77]). Lobar structures were also predominantly genetically mediated in twins with ASD (a2 = 0.70-1.00); however, thickness of the frontal (c2 = 0.81 [0.71, 0.92]), temporal (c2 = 0.77 [0.60, 0.93]), and parietal lobes (c2 = 0.87 [0.77, 0.97]), and frontal gray matter (GM) volume (c2 = 0.79 [0.63, 0.95]), were associated with environmental factors. Conversely, occipital thickness (a2 = 0.93 [0.75, 1.11]) did not exhibit the environmental contributions that were found in controls. Differences in GM volume were associated with social communication impairments for the frontal (r = 0.52 [0.18, 0.75]), temporal (r = 0.61 [0.30, 0.80]), and parietal lobes (r = 0.53 [0.19, 0.76]). To our knowledge, this is the first investigation to suggest that environmental factors influence GM to a larger extent in children with ASD, especially in the frontal lobe.
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Affiliation(s)
- John P Hegarty
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Laura C Lazzeroni
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA.,Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Mira M Raman
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Luiz F L Pegoraro
- Department of Psychiatry, University of Campinas, Cidade Universitária Zeferino Vaz, Campinas 13083-970, Brazil
| | - Julio C Monterrey
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Sue C Cleveland
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Joachim F Hallmayer
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Olga N Wolke
- Department of Anesthesiology, Stanford University, Stanford, CA 94305, USA
| | - Jennifer M Phillips
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Allan L Reiss
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Antonio Y Hardan
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
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52
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Sønderby IE, Gústafsson Ó, Doan NT, Hibar DP, Martin-Brevet S, Abdellaoui A, Ames D, Amunts K, Andersson M, Armstrong NJ, Bernard M, Blackburn N, Blangero J, Boomsma DI, Bralten J, Brattbak HR, Brodaty H, Brouwer RM, Bülow R, Calhoun V, Caspers S, Cavalleri G, Chen CH, Cichon S, Ciufolini S, Corvin A, Crespo-Facorro B, Curran JE, Dale AM, Dalvie S, Dazzan P, de Geus EJC, de Zubicaray GI, de Zwarte SMC, Delanty N, den Braber A, Desrivières S, Donohoe G, Draganski B, Ehrlich S, Espeseth T, Fisher SE, Franke B, Frouin V, Fukunaga M, Gareau T, Glahn DC, Grabe H, Groenewold NA, Haavik J, Håberg A, Hashimoto R, Hehir-Kwa JY, Heinz A, Hillegers MHJ, Hoffmann P, Holleran L, Hottenga JJ, Hulshoff HE, Ikeda M, Jahanshad N, Jernigan T, Jockwitz C, Johansson S, Jonsdottir GA, Jönsson EG, Kahn R, Kaufmann T, Kelly S, Kikuchi M, Knowles EEM, Kolskår KK, Kwok JB, Hellard SL, Leu C, Liu J, Lundervold AJ, Lundervold A, Martin NG, Mather K, Mathias SR, McCormack M, McMahon KL, McRae A, Milaneschi Y, Moreau C, Morris D, Mothersill D, Mühleisen TW, Murray R, Nordvik JE, Nyberg L, Olde Loohuis LM, Ophoff R, Paus T, Pausova Z, Penninx B, Peralta JM, Pike B, Prieto C, Pudas S, Quinlan E, Quintana DS, Reinbold CS, Marques TR, Reymond A, Richard G, Rodriguez-Herreros B, Roiz-Santiañez R, Rokicki J, Rucker J, Sachdev P, Sanders AM, Sando SB, Schmaal L, Schofield PR, Schork AJ, Schumann G, Shin J, Shumskaya E, Sisodiya S, Steen VM, Stein DJ, Steinberg S, Strike L, Teumer A, Thalamuthu A, Tordesillas-Gutierrez D, Turner J, Ueland T, Uhlmann A, Ulfarsson MO, van 't Ent D, van der Meer D, van Haren NEM, Vaskinn A, Vassos E, Walters GB, Wang Y, Wen W, Whelan CD, Wittfeld K, Wright M, Yamamori H, Zayats T, Agartz I, Westlye LT, Jacquemont S, Djurovic S, Stefánsson H, Stefánsson K, Thompson P, Andreassen OA. Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia. Mol Psychiatry 2020; 25:584-602. [PMID: 30283035 PMCID: PMC7042770 DOI: 10.1038/s41380-018-0118-1] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 05/02/2018] [Accepted: 05/25/2018] [Indexed: 12/24/2022]
Abstract
Carriers of large recurrent copy number variants (CNVs) have a higher risk of developing neurodevelopmental disorders. The 16p11.2 distal CNV predisposes carriers to e.g., autism spectrum disorder and schizophrenia. We compared subcortical brain volumes of 12 16p11.2 distal deletion and 12 duplication carriers to 6882 non-carriers from the large-scale brain Magnetic Resonance Imaging collaboration, ENIGMA-CNV. After stringent CNV calling procedures, and standardized FreeSurfer image analysis, we found negative dose-response associations with copy number on intracranial volume and on regional caudate, pallidum and putamen volumes (β = -0.71 to -1.37; P < 0.0005). In an independent sample, consistent results were obtained, with significant effects in the pallidum (β = -0.95, P = 0.0042). The two data sets combined showed significant negative dose-response for the accumbens, caudate, pallidum, putamen and ICV (P = 0.0032, 8.9 × 10-6, 1.7 × 10-9, 3.5 × 10-12 and 1.0 × 10-4, respectively). Full scale IQ was lower in both deletion and duplication carriers compared to non-carriers. This is the first brain MRI study of the impact of the 16p11.2 distal CNV, and we demonstrate a specific effect on subcortical brain structures, suggesting a neuropathological pattern underlying the neurodevelopmental syndromes.
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Affiliation(s)
- Ida E Sønderby
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | | | - Nhat Trung Doan
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Derrek P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, USA
- Janssen Research and Development, La Jolla, CA, USA
| | - Sandra Martin-Brevet
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland
| | - Abdel Abdellaoui
- Biological Psychology, Vrije Universiteit Amsterdam, van Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Department of Psychiatry, Academic Medical Center, Amsterdam, The Netherlands
| | - David Ames
- National Ageing Research Institute, Melbourne, Australia
- Academic Unit for Psychiatry of Old Age, University of Melbourne, Melbourne, Australia
| | - Katrin Amunts
- Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Wilhelm-Johnen-Str., 52425, Juelich, Germany
- C. and O. Vogt Institute for Brain Research, Medical Faculty, University of Dusseldorf, Merowingerplatz 1A, 40225, Dusseldorf, Germany
- JARA-BRAIN, Juelich-Aachen Research Alliance, Wilhelm-Johnen-Str., 52425, Juelich, Germany
| | - Michael Andersson
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187, Umeå, Sweden
| | | | - Manon Bernard
- The Hospital for Sick Children, University of Toronto, Toronto, M5G 1X8, Canada
| | - Nicholas Blackburn
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, One West University Blvd., 78520, Brownsville, TX, USA
| | - John Blangero
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, One West University Blvd., 78520, Brownsville, TX, USA
| | - Dorret I Boomsma
- Netherlands Twin Register, Vrije Universiteit, van der Boechorststraat 1, 1081BT, Amsterdam, Netherlands
| | - Janita Bralten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Hans-Richard Brattbak
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Henry Brodaty
- Centre for Healthy Brain Ageing and Dementia Collaborative Research Centre, UNSW, Sydney, Australia
| | - Rachel M Brouwer
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Robin Bülow
- Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Vince Calhoun
- The Mind Research Network, The University of New Mexico, Albuquerque, NM, Mexico
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Wilhelm-Johnen-Str., 52425, Juelich, Germany
- C. and O. Vogt Institute for Brain Research, Medical Faculty, University of Dusseldorf, Merowingerplatz 1A, 40225, Dusseldorf, Germany
- JARA-BRAIN, Juelich-Aachen Research Alliance, Wilhelm-Johnen-Str., 52425, Juelich, Germany
| | - Gianpiero Cavalleri
- The Royal College of Surgeons in Ireland, 123 St Stephen's Green, Dublin 2, Ireland
| | - Chi-Hua Chen
- Department of Radiology, University of California San Diego, La Jolla, USA
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, USA
| | - Sven Cichon
- Institute of Neuroscience and Medicine (INM-1), Structural and Functional Organisation of the Brain, Genomic Imaging, Research Centre Juelich, Leo-Brandt-Strasse 5, 52425, Jülich, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Schönbeinstrasse 40, 4031, Basel, Switzerland
| | - Simone Ciufolini
- Psychosis Studies, Insitute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespingy Park, SE5 8AF, London, United Kingdom
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Benedicto Crespo-Facorro
- Department of Medicine and Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, 39008, Santander, Spain
- CIBERSAM (Centro Investigación Biomédica en Red Salud Mental), Santander, 39011, Spain
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, One West University Blvd., 78520, Brownsville, TX, USA
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, USA
| | - Shareefa Dalvie
- Department of Psychiatry and Mental Health, Anzio Road, 7925, Cape Town, South Africa
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, SE5 8AF, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, United Kingdom
| | - Eco J C de Geus
- Department of Biological Psychology, Behavioral and Movement Sciences, Vrije Universiteit, van der Boechorststraat 1, 1081 BT, Amsterdam, Netherlands
- Amsterdam Neuroscience, VU University medical center, van der Boechorststraat 1, 1081 BT, Amsterdam, NH, Netherlands
| | - Greig I de Zubicaray
- Faculty of Health and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Sonja M C de Zwarte
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Norman Delanty
- The Royal College of Surgeons in Ireland, 123 St Stephen's Green, Dublin 2, Ireland
- Imaging of Dementia and Aging (IDeA) Laboratory, Department of Neurology and Center for Neuroscience, University of California at Davis, 4860 Y Street, Suite 3700, Sacramento, California, 95817, USA
| | - Anouk den Braber
- Department of Biological Psychology, Behavioral and Movement Sciences, Vrije Universiteit, van der Boechorststraat 1, 1081 BT, Amsterdam, Netherlands
- Alzheimer Center and Department of Neurology, VU University Medical Center, De Boelelaan 1105, 1081HV, Amsterdam, Netherlands
| | - Sylvane Desrivières
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Gary Donohoe
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging, Cognition & Genomics Centre (NICOG) & NCBES Galway Neuroscience Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, H91 TK33, Galway, Ireland
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Psychiatry, Trinity College Dublin, Dublin 8, Ireland
| | - Bogdan Draganski
- LREN - Département des neurosciences cliniques, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
- Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, 01307, Dresden, Germany
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, 02129, USA
| | - Thomas Espeseth
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Wundtlaan 1, 6525 XD, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Vincent Frouin
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Aichi, Japan
| | - Thomas Gareau
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
| | - David C Glahn
- Yale University School of Medicine, 40 Temple Street, Suite 6E, 6511, New Haven, Vaud, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, 300 George Street, 6106, Hartford, CT, USA
| | - Hans Grabe
- Department of Psychiatry und Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Nynke A Groenewold
- Department of Psychiatry and Mental Health, Anzio Road, 7925, Cape Town, South Africa
| | - Jan Haavik
- K.G. Jebsen Centre for Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - Asta Håberg
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ryota Hashimoto
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Suita, Osaka, Japan
| | - Jayne Y Hehir-Kwa
- Princess Máxima Center for Pediatric Oncology, Lundlaan 6, 3584 EA, Utrecht, The Netherlands
| | - Andreas Heinz
- Dept. of Psychiatry and Psychotherapie, Charite, Humboldt University, Chariteplatz 1, 10017, Berlin, Germany
| | - Manon H J Hillegers
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
- Child and adolescent Psychiatry / Psychology, Erasmus medical center-Sophia's Childerens hospitaal, Rotterdam, Wytemaweg 8, 3000 CB, Rotterdam, The Netherlands
| | - Per Hoffmann
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Schönbeinstrasse 40, 4031, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany
| | - Laurena Holleran
- The Centre for Neuroimaging & Cognitive Genomics (NICOG) and NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Jouke-Jan Hottenga
- Biological Psychology, Vrije Universiteit Amsterdam, van Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Hilleke E Hulshoff
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, USA
| | - Terry Jernigan
- Center for Human Development, University of California San Diego, San Diego, CA, USA
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Wilhelm-Johnen-Str., 52425, Juelich, Germany
- JARA-BRAIN, Juelich-Aachen Research Alliance, Wilhelm-Johnen-Str., 52425, Juelich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Medical Faculty, Pauwelsstraße 30, 52074, Aachen, Germany
| | - Stefan Johansson
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
- K.G. Jebsen Centre for Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | | | - Erik G Jönsson
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Karolinska University Hospital Solna, R5:00, SE-17176, Stockholm, Sweden
| | - Rene Kahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Tobias Kaufmann
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Sinead Kelly
- The Centre for Neuroimaging & Cognitive Genomics (NICOG) and NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Masataka Kikuchi
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Emma E M Knowles
- Department of Psychiatry, Yale University, 40 Temple Street, 6515, New Haven, CT, USA
| | - Knut K Kolskår
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - John B Kwok
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Stephanie Le Hellard
- NORMENT - KG Jebsen Centre, Department of Clinical Science, University of Bergen, Jonas Lies veg 87, 5021, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Jonas Lies veg 87, 5021, Bergen, Norway
| | - Costin Leu
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Institute of Neurology, University College London, London, United Kingdom
| | - Jingyu Liu
- The Mind Research Network, 1101 Yale Blvd., 87106, Albuquerque, CT, USA
- Dept. of Electrical and Computer Engineering, University of New Mexico, 87131, Albuquerque, New Mexico, USA
| | - Astri J Lundervold
- K.G. Jebsen Centre for Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
- Department of Biological and Medical Psychology, Jonas Lies vei 91, N-5009, Bergen, Norway
| | - Arvid Lundervold
- Department of Biomedicine, University of Bergen, 5009, Bergen, Norway
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Karen Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Samuel R Mathias
- Department of Psychiatry, Yale University, 40 Temple Street, 6515, New Haven, CT, USA
| | - Mark McCormack
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, 123 St. Stephens Green, D02 YN77, Dublin, Ireland
- Centre for Molecular Medicine, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, Netherlands
| | - Katie L McMahon
- Centre for Advanced Imaging, University of Queensland, Brisbane, Queensland, Australia
| | - Allan McRae
- Program in Complex Trait Genomics, Institute for Molecular Bioscience, University of Queensland, St Lucia, Queensland, Australia
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, VU University Medical Center/GGZ inGeest, Amsterdam, The Netherlands, Oldenaller 1, 1081 HJ, Amsterdam, The Netherlands
| | - Clara Moreau
- CHU Sainte-Justine Research Center, Université de Montréal, Montréal, QC, Canada
| | - Derek Morris
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging, Cognition & Genomics Centre (NICOG) & NCBES Galway Neuroscience Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, H91 TK33, Galway, Ireland
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Psychiatry, Trinity College Dublin, Dublin 8, Ireland
| | - David Mothersill
- The Centre for Neuroimaging & Cognitive Genomics (NICOG) and NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Thomas W Mühleisen
- Institute of Neuroscience and Medicine (INM-1), Structural and Functional Organisation of the Brain, Genomic Imaging, Research Centre Juelich, Leo-Brandt-Strasse 5, 52425, Jülich, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland
| | - Robin Murray
- Departments of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Jan E Nordvik
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Lars Nyberg
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187, Umeå, Sweden
| | - Loes M Olde Loohuis
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California, 90095, USA
| | - Roel Ophoff
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California, 90095, USA
| | - Tomas Paus
- Rotman Research Institute, University of Toronto, Toronto, M6A 2E1, Canada
- Department of Psychiatry, University of Toronto, Toronto, M5S 1A1, Canada
- Center for Developing Brain, Child Mind Institute, New York, NY, 10022, USA
- Department of Psychology, University of Toronto, Toronto, M5S 1A1, Canada
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, M5G 1X8, Canada
| | - Brenda Penninx
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, VU University Medical, Amsterdam, Netherlands
| | - Juan M Peralta
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, One West University Blvd., 78520, Brownsville, TX, USA
| | - Bruce Pike
- Departments of Radiology & Clinical Neuroscience, University of Calgary, Calgary, T2N 1N4, Canada
| | - Carlos Prieto
- Bioinformatics Service, Nucleus, University of Salamanca (USAL), 37007, Salamanca, Spain
| | - Sara Pudas
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187, Umeå, Sweden
- Department of Integrative Medical Biology, Linnéus väg 9, 901 87, Umeå, Sweden
| | - Erin Quinlan
- Centre for Population Neuroscience and Stratified Medicine, Social, Genetic and Development Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, SE5 8AF, London, UK
| | - Daniel S Quintana
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Céline S Reinbold
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Schönbeinstrasse 40, 4031, Basel, Switzerland
| | - Tiago Reis Marques
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, SE5 8AF, London, United Kingdom
- Psychiatry Imaging Group, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital, Du Cane Road, W12 0NN, London, UK
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, Genopode building, CH-1015, Lausanne, Switzerland
| | - Genevieve Richard
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Borja Rodriguez-Herreros
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland
- CHU Sainte-Justine Research Center, Université de Montréal, Montréal, QC, Canada
| | - Roberto Roiz-Santiañez
- Department of Medicine and Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, 39008, Santander, Spain
- CIBERSAM (Centro Investigación Biomédica en Red Salud Mental), Santander, 39011, Spain
| | - Jarek Rokicki
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - James Rucker
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, United Kingdom
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Anne-Marthe Sanders
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Sigrid B Sando
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurology, University Hospital of Trondheim, Edvard Griegs gate 8, N-7006, Trondheim, Norway
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, 35 Poplar Road, 3502, Parkville, New Mexico, Australia
- Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road, 3502, Parkville, Victoria, Australia
- Department of Psychiatry, VU University Medical Center, 1007 MB, Amsterdam, The Netherlands
| | - Peter R Schofield
- Neuroscience Research Australia, Randwick, Australia
- School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Andrew J Schork
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, USA
| | - Gunter Schumann
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Jean Shin
- The Hospital for Sick Children, University of Toronto, Toronto, M5G 1X8, Canada
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California, 90095, USA
| | - Elena Shumskaya
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Sanjay Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, London, UK
| | - Vidar M Steen
- NORMENT - KG Jebsen Centre, Department of Clinical Science, University of Bergen, Jonas Lies veg 87, 5021, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Jonas Lies veg 87, 5021, Bergen, Norway
| | - Dan J Stein
- Dept of Psychiatry, University of Cape Town, Groote Schuur Hospital, Anzio Rd, 7925, Cape Town, South Africa
- MRC Unit on Risk & Resilience in Mental Disorders, Stellenbosch, South Africa
| | | | - Lachlan Strike
- Queensland Brain Institute, University of Queensland, St Lucia, Queensland, Australia
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Anbu Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Diana Tordesillas-Gutierrez
- CIBERSAM (Centro Investigación Biomédica en Red Salud Mental), Santander, 39011, Spain
- Neuroimaging Unit, Technological Facilities. Valdecilla Biomedical Research Institute IDIVAL, Santander, Cantabria, 39011, Spain
| | - Jessica Turner
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - Torill Ueland
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Anne Uhlmann
- Department of Psychiatry and Mental Health, Anzio Road, 7925, Cape Town, South Africa
- Department of Psychiatry, Stellenbosch University, TBH Francie van Zijl Avenue, 7500, Cape Town, South Africa
- Department of Psychiatry, 1 South Prospect Street, 5401, Burlington, Vermont, USA
| | - Magnus O Ulfarsson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland
| | - Dennis van 't Ent
- Biological Psychology, Vrije Universiteit Amsterdam, van Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Dennis van der Meer
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Neeltje E M van Haren
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Anja Vaskinn
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Evangelos Vassos
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, SE5 8AF, London, UK
| | - G Bragi Walters
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Yunpeng Wang
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Christopher D Whelan
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, 123 St. Stephens Green, D02 YN77, Dublin, Ireland
| | - Katharina Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Greifswald, Greifswald, Germany
| | - Margie Wright
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Centre for Advanced Imaging, University of Queensland, St Lucia, Queensland, Australia
| | - Hidenaga Yamamori
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Tetyana Zayats
- K.G. Jebsen Centre for Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
- Department of Biomedicine, University of Bergen, 5009, Bergen, Norway
| | - Ingrid Agartz
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Lars T Westlye
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Sébastien Jacquemont
- CHU Sainte-Justine Research Center, Université de Montréal, Montréal, QC, Canada
- Department of Pediatrics, University of Montreal, Montreal, H3C 3J7, Canada
| | - Srdjan Djurovic
- NORMENT - KG Jebsen Centre, Department of Clinical Science, University of Bergen, Jonas Lies veg 87, 5021, Bergen, Norway
- Department of Medical Genetics, Oslo University Hospital, Kirkeveien 166, 424, Oslo, Norway
| | | | - Kári Stefánsson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Paul Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, USA
| | - Ole A Andreassen
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
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Abnormal Auditory Mismatch Fields in Children and Adolescents With 16p11.2 Deletion and 16p11.2 Duplication. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:942-950. [PMID: 32033921 DOI: 10.1016/j.bpsc.2019.11.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Revised: 11/02/2019] [Accepted: 11/04/2019] [Indexed: 11/23/2022]
Abstract
BACKGROUND Individuals with either deletion or duplication of the BP4-BP5 segment of chromosome 16p11.2 have varied behavioral phenotypes that may include autistic features, mild to moderate intellectual disability, and/or language impairment. However, the neurophysiological correlates of auditory language discrimination processing in individuals with 16p11.2 deletion and 16p11.2 duplication have not been investigated. METHODS Magnetoencephalography was used to measure magnetic mismatch fields (MMFs) arising from the left and right superior temporal gyrus during an auditory oddball paradigm with vowel stimuli (/a/ and /u/) in children and adolescents with 16p11.2 deletion or 16p11.2 duplication and in typically developing peers. One hundred twenty-eight participants ranging from 7 to 17 years of age were included in the final analysis (typically developing: n = 61, 12.08 ± 2.50 years of age; 16p11.2 deletion: n = 45, 11.28 ± 2.51 years of age; and 16p11.2 duplication: n = 22, 10.73 ± 2.49 years of age). RESULTS Delayed MMF latencies were found in both 16p11.2 deletion and 16p11.2 duplication groups compared with typically developing subjects. In addition, these delayed MMF latencies were associated with language and cognitive ability, with prolonged latency predicting greater impairment. CONCLUSIONS Our findings suggest that auditory MMF response delays are associated with clinical severity of language and cognitive impairment in individuals with either 16p11.2 deletion or 16p11.2 duplication, indicating a correlate of their shared/overlapping behavioral phenotype (and not a correlate of gene dosage).
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Wu H, Li H, Bai T, Han L, Ou J, Xun G, Zhang Y, Wang Y, Duan G, Zhao N, Chen B, Du X, Yao M, Zou X, Zhao J, Hu Z, Eichler EE, Guo H, Xia K. Phenotype-to-genotype approach reveals head-circumference-associated genes in an autism spectrum disorder cohort. Clin Genet 2020; 97:338-346. [PMID: 31674007 PMCID: PMC7307605 DOI: 10.1111/cge.13665] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 10/12/2019] [Accepted: 10/18/2019] [Indexed: 12/27/2022]
Abstract
The genotype-first approach has been successfully applied and has elucidated several subtypes of autism spectrum disorder (ASD). However, it requires very large cohorts because of the extensive genetic heterogeneity. We investigate the alternate possibility of whether phenotype-specific genes can be identified from a small group of patients with specific phenotype(s). To identify novel genes associated with ASD and abnormal head circumference using a phenotype-to-genotype approach, we performed whole-exome sequencing on 67 families with ASD and abnormal head circumference. Clinically relevant pathogenic or likely pathogenic variants account for 23.9% of patients with microcephaly or macrocephaly, and 81.25% of those variants or genes are head-size associated. Significantly, recurrent pathogenic mutations were identified in two macrocephaly genes (PTEN, CHD8) in this small cohort. De novo mutations in several candidate genes (UBN2, BIRC6, SYNE1, and KCNMA1) were detected, as well as one new candidate gene (TNPO3) implicated in ASD and related neurodevelopmental disorders. We identify genotype-phenotype correlations for head-size-associated ASD genes and novel candidate genes for further investigation. Our results also suggest a phenotype-to-genotype strategy would accelerate the elucidation of genotype-phenotype relationships for ASD by using phenotype-restricted cohorts.
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Affiliation(s)
- Huidan Wu
- Center for Medical Genetics & Hunan Provincial Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Honghui Li
- Key Laboratory of Developmental Disorders in Children, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, Guangxi, China
| | - Ting Bai
- Center for Medical Genetics & Hunan Provincial Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Lin Han
- Center for Medical Genetics & Hunan Provincial Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Jianjun Ou
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Guanglei Xun
- Mental Health Center of Shandong Province, Jinan, Shandong, China
| | - Yu Zhang
- Key Laboratory of Developmental Disorders in Children, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, Guangxi, China
| | - Yazhe Wang
- Center of Children Psychology and Behavior, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan China
| | - Guiqin Duan
- Center of Children Psychology and Behavior, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan China
| | - Ningxia Zhao
- Xi’an Encephalopathy Hospital of Traditional Chinese Medicine, Xi’an, Shanxi, China
| | - Biyuan Chen
- Children Development Behavior Center of the Third Affiliated Hospital of SUN YAT-SEN University, Guangzhou, Guangdong, China
| | - Xiaogang Du
- Xi’an Encephalopathy Hospital of Traditional Chinese Medicine, Xi’an, Shanxi, China
| | - Meiling Yao
- Center of Children Psychology and Behavior, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan China
| | - Xiaobing Zou
- Children Development Behavior Center of the Third Affiliated Hospital of SUN YAT-SEN University, Guangzhou, Guangdong, China
| | - Jingping Zhao
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhengmao Hu
- Center for Medical Genetics & Hunan Provincial Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, Washington, USA
| | - Hui Guo
- Center for Medical Genetics & Hunan Provincial Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
- Hunan Key Laboratory of Animal Models for Human Diseases, Changsha 410078, China
| | - Kun Xia
- Center for Medical Genetics & Hunan Provincial Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Key Laboratory of Medical Information Research, Central South University, Changsha, Hunan, China
- Collaborative Innovation Center for Genetics and Development, Shanghai, China
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Cárdenas-de-la-Parra A, Martin-Brevet S, Moreau C, Rodriguez-Herreros B, Fonov VS, Maillard AM, Zürcher NR, Hadjikhani N, Beckmann JS, Reymond A, Draganski B, Jacquemont S, Collins DL, Addor MC, Andrieux J, Arveiler B, Baujatm G, Sloan-Bénan F, Belfiore M, Bonneau D, Bouquillon S, Boute O, Brusco A, Busa T, Caberg JH, Campion D, Colombert V, Cordier MP, David A, Debray FG, Delrue MA, Doco-Fenzy M, Dunkhase-Heinl U, Edery P, Fagerberg C, Faivre L, Forzano F, Genevieve D, Gérard M, Giachino D, Guichet A, Guillin O, Héron D, Isidor B, Jacquette A, Jaillard S, Journel H, Keren B, Lacombe D, Lebon S, Le Caignec C, Lemaître MP, Lespinasse J, Mathieu-Dramart M, Mercier S, Mignot C, Missirian C, Petit F, Pilekær Sørensen K, Pinson L, Plessis G, Prieur F, Rooryck-Thambo C, Rossi M, Sanlaville D, Schlott Kristiansen B, Schluth-Bolard C, Till M, Van Haelst M, Van Maldergem L. Developmental trajectories of neuroanatomical alterations associated with the 16p11.2 Copy Number Variations. Neuroimage 2019; 203:116155. [DOI: 10.1016/j.neuroimage.2019.116155] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 08/23/2019] [Accepted: 09/02/2019] [Indexed: 01/18/2023] Open
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Girault JB, Piven J. The Neurodevelopment of Autism from Infancy Through Toddlerhood. Neuroimaging Clin N Am 2019; 30:97-114. [PMID: 31759576 DOI: 10.1016/j.nic.2019.09.009] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Autism spectrum disorder (ASD) emerges during early childhood and is marked by a relatively narrow window in which infants transition from exhibiting normative behavioral profiles to displaying the defining features of the ASD phenotype in toddlerhood. Prospective brain imaging studies in infants at high familial risk for autism have revealed important insights into the neurobiology and developmental unfolding of ASD. In this article, we review neuroimaging studies of brain development in ASD from birth through toddlerhood, relate these findings to candidate neurobiological mechanisms, and discuss implications for future research and translation to clinical practice.
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Affiliation(s)
- Jessica B Girault
- Carolina Institute for Developmental Disabilities, The University of North Carolina at Chapel Hill School of Medicine, 101 Renee Lynne Court, Chapel Hill, NC 27599, USA.
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, The University of North Carolina at Chapel Hill School of Medicine, 101 Renee Lynne Court, Chapel Hill, NC 27599, USA
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57
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Goldman S, McCullough AK, Young SD, Mueller C, Stahl A, Zoeller A, Abbruzzese LD, Rao AK, Montes J. Quantitative gait assessment in children with 16p11.2 syndrome. J Neurodev Disord 2019; 11:26. [PMID: 31656164 PMCID: PMC6816222 DOI: 10.1186/s11689-019-9286-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 10/01/2019] [Indexed: 01/23/2023] Open
Abstract
Background Neurodevelopmental disorders such as 16p11.2 syndrome are frequently associated with motor impairments including locomotion. The lack of precise measures of gait, combined with the challenges inherent in studying children with neurodevelopmental disorders, hinders quantitative motor assessments. Gait and balance are quantifiable measures that may help to refine the motor phenotype in 16p11.2. The characterization of motor profile is useful to study the trajectories of locomotion performance of children with genetic variants and may provide insights into neural pathway dysfunction based on genotype/phenotype model. Methods Thirty-six children (21 probands with 16p11.2 deletion and duplication mutation and 15 unaffected siblings), with a mean age of 8.5 years (range 3.2–15.4) and 55% male, were enrolled. Of the probands, 23% (n = 6) had a confirmed diagnosis of autism spectrum disorder (ASD) and were all male. Gait assessments included 6-min walk test (6MWT), 10-m walk/run test (10MWR), timed-up-and-go test (TUG), and spatio-temporal measurements of preferred- and fast-paced walking. The Pediatric Evaluation of Disability Inventory-Computer Adaptive Tests (PEDI-CAT), a caregiver-reported functional assessment, was administered. Measures of balance were calculated using percent time in double support and base of support. Analyses of the six children with ASD were described separately. Results Thirty-six participants completed the protocol. Compared with sibling controls, probands had significantly lower scores on the 6MWT (p = 0.04), 10MWR (p = 0.01), and TUG (p = 0.005). Group differences were also identified in base of support (p = 0.003). Probands had significantly lower PEDI-CAT scores in all domains including the mobility scale (p < 0.001). Using age-matched subsamples, the ASD and non-ASD genetic variant groups had larger base of support compared to the controls. In the fast-paced condition, all participants increased their velocity, and there was a corresponding decrease in percent time in double support compared to the preferred-pace condition in all participants. Only the ASD group presented with upper limb arm/hand stereotypies. Conclusions Children with 16p11.2, with and without ASD, present with balance impairment during locomotion activities. Probands performed worse on functional assessments, and quantitative measures revealed differences in base of support. These results highlight the importance of using precise measures to differentiate motor dysfunction in children with neurodevelopmental disorders.
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Affiliation(s)
- Sylvie Goldman
- Department of Neurology, Division of Child Neurology, Columbia University Irving Medical Center, Presbyterian Hospital, 622 W 168th Street, PH18-331, New York, NY, 10032, USA. .,G.H. Sergievsky Center, Columbia University Irving Medical Center, Presbyterian Hospital, 622 W 168th Street, New York, NY, 10032, USA.
| | - Aston K McCullough
- G.H. Sergievsky Center, Columbia University Irving Medical Center, Presbyterian Hospital, 622 W 168th Street, New York, NY, 10032, USA.,Department ot Biobehaviroal Science, Columbia University, Teacher College, 525 West 120th Street, New York, NY, 10027, USA
| | - Sally Dunaway Young
- Department of Neurology, Division of Child Neurology, Columbia University Irving Medical Center, Presbyterian Hospital, 622 W 168th Street, PH18-331, New York, NY, 10032, USA.,Department of Neurology, Division of Neuromuscular Medicine, Stanford University, 2652 East Bayshore Road, Palo Alto, CA, 94303, USA
| | - Carly Mueller
- Department of Rehabilitation and Regenerative Medicine, Programs in Physical Therapy, Columbia University Irving Medical Center, Presbyterian Hospital, 622 W 168th Street, New York, NY, 10032, USA
| | - Adrianna Stahl
- Department of Rehabilitation and Regenerative Medicine, Programs in Physical Therapy, Columbia University Irving Medical Center, Presbyterian Hospital, 622 W 168th Street, New York, NY, 10032, USA
| | - Audrey Zoeller
- Department of Rehabilitation and Regenerative Medicine, Programs in Physical Therapy, Columbia University Irving Medical Center, Presbyterian Hospital, 622 W 168th Street, New York, NY, 10032, USA
| | - Laurel Daniels Abbruzzese
- Department of Rehabilitation and Regenerative Medicine, Programs in Physical Therapy, Columbia University Irving Medical Center, Presbyterian Hospital, 622 W 168th Street, New York, NY, 10032, USA
| | - Ashwini K Rao
- G.H. Sergievsky Center, Columbia University Irving Medical Center, Presbyterian Hospital, 622 W 168th Street, New York, NY, 10032, USA.,Department of Rehabilitation and Regenerative Medicine, Programs in Physical Therapy, Columbia University Irving Medical Center, Presbyterian Hospital, 622 W 168th Street, New York, NY, 10032, USA
| | - Jacqueline Montes
- Department of Neurology, Division of Child Neurology, Columbia University Irving Medical Center, Presbyterian Hospital, 622 W 168th Street, PH18-331, New York, NY, 10032, USA.,Department of Rehabilitation and Regenerative Medicine, Programs in Physical Therapy, Columbia University Irving Medical Center, Presbyterian Hospital, 622 W 168th Street, New York, NY, 10032, USA
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58
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Qiu Y, Arbogast T, Lorenzo SM, Li H, Tang SC, Richardson E, Hong O, Cho S, Shanta O, Pang T, Corsello C, Deutsch CK, Chevalier C, Davis EE, Iakoucheva LM, Herault Y, Katsanis N, Messer K, Sebat J. Oligogenic Effects of 16p11.2 Copy-Number Variation on Craniofacial Development. Cell Rep 2019; 28:3320-3328.e4. [PMID: 31553903 PMCID: PMC6988705 DOI: 10.1016/j.celrep.2019.08.071] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 07/18/2019] [Accepted: 08/22/2019] [Indexed: 02/06/2023] Open
Abstract
A copy-number variant (CNV) of 16p11.2 encompassing 30 genes is associated with developmental and psychiatric disorders, head size, and body mass. The genetic mechanisms that underlie these associations are not understood. To determine the influence of 16p11.2 genes on development, we investigated the effects of CNV on craniofacial structure in humans and model organisms. We show that deletion and duplication of 16p11.2 have "mirror" effects on specific craniofacial features that are conserved between human and rodent models of the CNV. By testing dosage effects of individual genes on the shape of the mandible in zebrafish, we identify seven genes with significant effects individually and find evidence for others when genes were tested in combination. The craniofacial phenotypes of 16p11.2 CNVs represent a model for studying the effects of genes on development, and our results suggest that the associated facial gestalts are attributable to the combined effects of multiple genes.
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Affiliation(s)
- Yuqi Qiu
- Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA 92093, USA
| | - Thomas Arbogast
- Center for Human Disease Modeling, Duke University, Durham, NC 27701, USA
| | - Sandra Martin Lorenzo
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Université de Strasbourg, Illkirch, France; Centre National de la Recherche Scientifique, UMR7104, Illkirch, France; Institut National de la Santé et de la Recherche Médicale, U964, Illkirch, France
| | - Hongying Li
- Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA 92093, USA
| | - Shih C Tang
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA
| | - Ellen Richardson
- Center for Human Disease Modeling, Duke University, Durham, NC 27701, USA
| | - Oanh Hong
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA
| | - Shawn Cho
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA
| | - Omar Shanta
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA; Department of Electrical Engineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Timothy Pang
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA
| | - Christina Corsello
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Curtis K Deutsch
- Eunice Kennedy Shriver Center UMMS, Charlestown and Worcester, MA, USA
| | - Claire Chevalier
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Université de Strasbourg, Illkirch, France; Centre National de la Recherche Scientifique, UMR7104, Illkirch, France; Institut National de la Santé et de la Recherche Médicale, U964, Illkirch, France
| | - Erica E Davis
- Center for Human Disease Modeling, Duke University, Durham, NC 27701, USA
| | - Lilia M Iakoucheva
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA
| | - Yann Herault
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Université de Strasbourg, Illkirch, France; Centre National de la Recherche Scientifique, UMR7104, Illkirch, France; Institut National de la Santé et de la Recherche Médicale, U964, Illkirch, France
| | - Nicholas Katsanis
- Center for Human Disease Modeling, Duke University, Durham, NC 27701, USA
| | - Karen Messer
- Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA 92093, USA
| | - Jonathan Sebat
- Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA; Beyster Center for Genomics of Psychiatric Diseases, University of California, San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA.
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59
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Altered structural brain connectivity involving the dorsal and ventral language pathways in 16p11.2 deletion syndrome. Brain Imaging Behav 2019; 13:430-445. [PMID: 29629500 DOI: 10.1007/s11682-018-9859-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Copy number variants at the chromosomal locus 16p11.2 contribute to neurodevelopmental disorders such as autism spectrum disorders, epilepsy, schizophrenia, and language and articulation disorders. Here, we provide detailed findings on the disrupted structural brain connectivity in 16p11.2 deletion syndrome (patients: N = 21, age range: 8-16 years; typically developing (TD) controls: 18, 9-16 years) using structural and diffusion MRI. We performed global short-, middle-, long-range, and interhemispheric connectivity analysis in the whole brain using gyral topology-based cortical parcellation. Using region of interest analysis, we studied bilateral dorsal (3 segments of arcuate fasciculus (AF)) and ventral (inferior fronto-occipital fasciculus (IFOF), inferior longitudinal fasciculus (ILF), uncinate fasciculus (UF)) language pathways. Our results showed significantly increased axial (AD) and radial (RD) diffusivities in bilateral anterior AF, decreased volume for left long AF, increased mean diffusivity (MD) and RD for right long AF, and increased AD for bilateral UF in the 16p11.2 deletion group in the absence of significant abnormalities in the whole-brain gyral and interhemispheric connectivity. The selective involvement of the language networks may aid in understanding effects of altered white matter connectivity on neurodevelopmental outcomes in 16p11.2 deletion.
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Sensorimotor Cortical Oscillations during Movement Preparation in 16p11.2 Deletion Carriers. J Neurosci 2019; 39:7321-7331. [PMID: 31270155 DOI: 10.1523/jneurosci.3001-17.2019] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 06/21/2019] [Accepted: 06/22/2019] [Indexed: 01/02/2023] Open
Abstract
Sensorimotor deficits are prevalent in many neurodevelopmental disorders like autism, including one of its common genetic etiologies, a 600 kb reciprocal deletion/duplication at 16p11.2. We have previously shown that copy number variations of 16p11.2 impact regional brain volume, white matter integrity, and early sensory responses in auditory cortex. Here, we test the hypothesis that abnormal cortical neurophysiology is present when genes in the 16p11.2 region are haploinsufficient, and in humans that this in turn may account for behavioral deficits specific to deletion carriers. We examine sensorimotor cortical network activity in males and females with 16p11.2 deletions compared with both typically developing individuals, and those with duplications of 16p11.2, using magnetoencephalographic imaging during preparation of overt speech or hand movements in tasks designed to be easy for all participants. In deletion carriers, modulation of beta oscillations (12-30 Hz) were increased during both movement types over effector-specific regions of motor cortices compared with typically developing individuals or duplication carriers, with no task-related performance differences between cohorts, even when corrected for their own cognitive and sensorimotor deficits. Reduced left hemispheric language specialization was observed in deletion carriers but not in duplication carriers. Neural activity over sensorimotor cortices in deletion carriers was linearly related to clinical measures of speech and motor impairment. These findings link insufficient copy number repeats at 16p11.2 to excessive neural activity (e.g., increased beta oscillations) in motor cortical networks for speech and hand motor control. These results have significant implications for understanding the neural basis of autism and related neurodevelopmental disorders.SIGNIFICANCE STATEMENT The recurrent ∼600 kb deletion at 16p11.2 (BP4-BP5) is one of the most common genetic etiologies of ASD and, more generally, of neurodevelopmental disorders. Here, we use high-resolution magnetoencephalographic imaging (MEG-I) to define with millisecond precision the underlying neurophysiological signature of motor impairments for individuals with 16p11.2 deletions. We identify significant increases in beta (12-30 Hz) suppression in sensorimotor cortices related to performance during speech and hand movement tasks. These findings not only provide a neurophysiological phenotype for the clinical presentation of this genetic deletion, but also guide our understanding of how genetic variation encodes for neural oscillatory dynamics.
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Al‐Jawahiri R, Jones M, Milne E. Atypical neural variability in carriers of 16p11.2 copy number variants. Autism Res 2019; 12:1322-1333. [DOI: 10.1002/aur.2166] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 06/13/2019] [Indexed: 12/21/2022]
Affiliation(s)
| | - Myles Jones
- Department of PsychologyUniversity of Sheffield Sheffield UK
| | - Elizabeth Milne
- Department of PsychologyUniversity of Sheffield Sheffield UK
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Bagni C, Zukin RS. A Synaptic Perspective of Fragile X Syndrome and Autism Spectrum Disorders. Neuron 2019; 101:1070-1088. [PMID: 30897358 PMCID: PMC9628679 DOI: 10.1016/j.neuron.2019.02.041] [Citation(s) in RCA: 195] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 02/25/2019] [Accepted: 02/27/2019] [Indexed: 12/28/2022]
Abstract
Altered synaptic structure and function is a major hallmark of fragile X syndrome (FXS), autism spectrum disorders (ASDs), and other intellectual disabilities (IDs), which are therefore classified as synaptopathies. FXS and ASDs, while clinically and genetically distinct, share significant comorbidity, suggesting that there may be a common molecular and/or cellular basis, presumably at the synapse. In this article, we review brain architecture and synaptic pathways that are dysregulated in FXS and ASDs, including spine architecture, signaling in synaptic plasticity, local protein synthesis, (m)RNA modifications, and degradation. mRNA repression is a powerful mechanism for the regulation of synaptic structure and efficacy. We infer that there is no single pathway that explains most of the etiology and discuss new findings and the implications for future work directed at improving our understanding of the pathogenesis of FXS and related ASDs and the design of therapeutic strategies to ameliorate these disorders.
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Affiliation(s)
- Claudia Bagni
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.
| | - R Suzanne Zukin
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, New York City, NY, USA.
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Drakesmith M, Parker GD, Smith J, Linden SC, Rees E, Williams N, Owen MJ, van den Bree M, Hall J, Jones DK, Linden DEJ. Genetic risk for schizophrenia and developmental delay is associated with shape and microstructure of midline white-matter structures. Transl Psychiatry 2019; 9:102. [PMID: 30804328 PMCID: PMC6389944 DOI: 10.1038/s41398-019-0440-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 02/13/2019] [Indexed: 11/22/2022] Open
Abstract
Genomic copy number variants (CNVs) are amongst the most highly penetrant genetic risk factors for neuropsychiatric disorders. The scarcity of carriers of individual CNVs and their phenotypical heterogeneity limits investigations of the associated neural mechanisms and endophenotypes. We applied a novel design based on CNV penetrance for schizophrenia (Sz) and developmental delay (DD) that allows us to identify structural sequelae that are most relevant to neuropsychiatric disorders. Our focus on brain structural abnormalities was based on the hypothesis that convergent mechanisms contributing to neurodevelopmental disorders would likely manifest in the macro- and microstructure of white matter and cortical and subcortical grey matter. Twenty one adult participants carrying neuropsychiatric risk CNVs (including those located at 22q11.2, 15q11.2, 1q21.1, 16p11.2 and 17q12) and 15 age- and gender-matched controls underwent T1-weighted structural, diffusion and relaxometry MRI. The macro- and microstructural properties of the cingulum bundles were associated with penetrance for both developmental delay and schizophrenia, in particular curvature along the anterior-posterior axis (Sz: pcorr = 0.026; DD: pcorr = 0.035) and intracellular volume fraction (Sz: pcorr = 0.019; DD: pcorr = 0.064). Further principal component analysis showed alterations in the interrelationships between the volumes of several midline white-matter structures (Sz: pcorr = 0.055; DD: pcorr = 0.027). In particular, the ratio of volumes in the splenium and body of the corpus callosum was significantly associated with both penetrance scores (Sz: p = 0.037; DD; p = 0.006). Our results are consistent with the notion that a significant alteration in developmental trajectories of midline white-matter structures constitutes a common neurodevelopmental aberration contributing to risk for schizophrenia and intellectual disability.
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Affiliation(s)
- Mark Drakesmith
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom.
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom.
| | - Greg D Parker
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- Experimental MRI Centre (EMRIC), School of Biosciences, Cardiff University, Sir Martin Evans Building, Museum Avenue, CF10 3AX, Cardiff, United Kingdom
| | - Jacqueline Smith
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
| | - Stefanie C Linden
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
| | - Elliott Rees
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
| | - Nigel Williams
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
| | - Michael J Owen
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
| | - Marianne van den Bree
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
| | - Jeremy Hall
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- School of Psychology, Faculty of Health Sciences, Australian Catholic University, Melbourne, VIC, 3065, Australia
| | - David E J Linden
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
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Licari MK, Finlay-Jones A, Reynolds JE, Alvares GA, Spittle AJ, Downs J, Whitehouse AJO, Leonard H, Evans KL, Varcin K. The Brain Basis of Comorbidity in Neurodevelopmental Disorders. CURRENT DEVELOPMENTAL DISORDERS REPORTS 2019. [DOI: 10.1007/s40474-019-0156-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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65
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Richter M, Murtaza N, Scharrenberg R, White SH, Johanns O, Walker S, Yuen RKC, Schwanke B, Bedürftig B, Henis M, Scharf S, Kraus V, Dörk R, Hellmann J, Lindenmaier Z, Ellegood J, Hartung H, Kwan V, Sedlacik J, Fiehler J, Schweizer M, Lerch JP, Hanganu-Opatz IL, Morellini F, Scherer SW, Singh KK, Calderon de Anda F. Altered TAOK2 activity causes autism-related neurodevelopmental and cognitive abnormalities through RhoA signaling. Mol Psychiatry 2019; 24:1329-1350. [PMID: 29467497 PMCID: PMC6756231 DOI: 10.1038/s41380-018-0025-5] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 12/01/2017] [Accepted: 12/06/2017] [Indexed: 11/24/2022]
Abstract
Atypical brain connectivity is a major contributor to the pathophysiology of neurodevelopmental disorders (NDDs) including autism spectrum disorders (ASDs). TAOK2 is one of several genes in the 16p11.2 microdeletion region, but whether it contributes to NDDs is unknown. We performed behavioral analysis on Taok2 heterozygous (Het) and knockout (KO) mice and found gene dosage-dependent impairments in cognition, anxiety, and social interaction. Taok2 Het and KO mice also have dosage-dependent abnormalities in brain size and neural connectivity in multiple regions, deficits in cortical layering, dendrite and synapse formation, and reduced excitatory neurotransmission. Whole-genome and -exome sequencing of ASD families identified three de novo mutations in TAOK2 and functional analysis in mice and human cells revealed that all the mutations impair protein stability, but they differentially impact kinase activity, dendrite growth, and spine/synapse development. Mechanistically, loss of Taok2 activity causes a reduction in RhoA activation, and pharmacological enhancement of RhoA activity rescues synaptic phenotypes. Together, these data provide evidence that TAOK2 is a neurodevelopmental disorder risk gene and identify RhoA signaling as a mediator of TAOK2-dependent synaptic development.
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Affiliation(s)
- Melanie Richter
- 0000 0001 2180 3484grid.13648.38Center for Molecular Neurobiology Hamburg (ZMNH), Research Group Neuronal Development, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nadeem Murtaza
- 0000 0004 1936 8227grid.25073.33Stem Cell and Cancer Research Institute, McMaster University, Hamilton, Ontario Canada ,0000 0004 1936 8227grid.25073.33Department of Biochemistry and Biomedical Sciences, Michael G. DeGroote School of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Ontario Canada
| | - Robin Scharrenberg
- 0000 0001 2180 3484grid.13648.38Center for Molecular Neurobiology Hamburg (ZMNH), Research Group Neuronal Development, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Sean H. White
- 0000 0004 1936 8227grid.25073.33Stem Cell and Cancer Research Institute, McMaster University, Hamilton, Ontario Canada ,0000 0004 1936 8227grid.25073.33Department of Biochemistry and Biomedical Sciences, Michael G. DeGroote School of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Ontario Canada
| | - Ole Johanns
- 0000 0001 2180 3484grid.13648.38Center for Molecular Neurobiology Hamburg (ZMNH), Research Group Neuronal Development, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Susan Walker
- 0000 0004 0473 9646grid.42327.30The Centre for Applied Genomics and Program in Genetics and Genome Biology, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, Ontario Canada ,0000 0001 2157 2938grid.17063.33Department of Molecular Genetics and McLaughlin Centre, University of Toronto, Toronto, Ontario Canada
| | - Ryan K. C. Yuen
- 0000 0004 0473 9646grid.42327.30The Centre for Applied Genomics and Program in Genetics and Genome Biology, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, Ontario Canada ,0000 0001 2157 2938grid.17063.33Department of Molecular Genetics and McLaughlin Centre, University of Toronto, Toronto, Ontario Canada
| | - Birgit Schwanke
- 0000 0001 2180 3484grid.13648.38Center for Molecular Neurobiology Hamburg (ZMNH), Research Group Neuronal Development, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Bianca Bedürftig
- 0000 0001 2180 3484grid.13648.38Center for Molecular Neurobiology Hamburg (ZMNH), Research Group Neuronal Development, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Melad Henis
- 0000 0001 2180 3484grid.13648.38Center for Molecular Neurobiology Hamburg (ZMNH), Research Group Neuronal Development, University Medical Center Hamburg-Eppendorf, Hamburg, Germany ,0000 0000 8632 679Xgrid.252487.eDepartment of Anatomy and Histology, Faculty of Veterinary Medicine, Assiut University, Assiut, Egypt
| | - Sarah Scharf
- 0000 0001 2180 3484grid.13648.38Center for Molecular Neurobiology Hamburg (ZMNH), Research Group Behavioral Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Vanessa Kraus
- 0000 0001 2180 3484grid.13648.38Center for Molecular Neurobiology Hamburg (ZMNH), Research Group Behavioral Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ronja Dörk
- 0000 0001 2180 3484grid.13648.38Center for Molecular Neurobiology Hamburg (ZMNH), Research Group Behavioral Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jakob Hellmann
- 0000 0001 2180 3484grid.13648.38Center for Molecular Neurobiology Hamburg (ZMNH), Research Group Behavioral Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Zsuzsa Lindenmaier
- 0000 0004 0473 9646grid.42327.30Mouse Imaging Center, The Hospital for Sick Children, Toronto, Ontario Canada ,0000 0001 2157 2938grid.17063.33Department of Medical Biophysics, University of Toronto, Toronto, Ontario Canada
| | - Jacob Ellegood
- 0000 0004 0473 9646grid.42327.30Mouse Imaging Center, The Hospital for Sick Children, Toronto, Ontario Canada
| | - Henrike Hartung
- 0000 0001 2180 3484grid.13648.38Developmental Neurophysiology, Institute of Neuroanatomy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany ,0000 0004 0410 2071grid.7737.4Present Address: Laboratory of Neurobiology, Department of Biosciences, University of Helsinki, Helsinki, Finland
| | - Vickie Kwan
- 0000 0004 1936 8227grid.25073.33Stem Cell and Cancer Research Institute, McMaster University, Hamilton, Ontario Canada ,0000 0004 1936 8227grid.25073.33Department of Biochemistry and Biomedical Sciences, Michael G. DeGroote School of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Ontario Canada
| | - Jan Sedlacik
- 0000 0001 2180 3484grid.13648.38Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- 0000 0001 2180 3484grid.13648.38Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michaela Schweizer
- 0000 0001 2180 3484grid.13648.38Center for Molecular Neurobiology Hamburg (ZMNH), Core Facility Morphology and Electronmicroscopy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jason P. Lerch
- 0000 0004 0473 9646grid.42327.30Mouse Imaging Center, The Hospital for Sick Children, Toronto, Ontario Canada ,0000 0001 2157 2938grid.17063.33Department of Medical Biophysics, University of Toronto, Toronto, Ontario Canada
| | - Ileana L. Hanganu-Opatz
- 0000 0001 2180 3484grid.13648.38Developmental Neurophysiology, Institute of Neuroanatomy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fabio Morellini
- 0000 0001 2180 3484grid.13648.38Center for Molecular Neurobiology Hamburg (ZMNH), Research Group Behavioral Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stephen W. Scherer
- 0000 0004 0473 9646grid.42327.30The Centre for Applied Genomics and Program in Genetics and Genome Biology, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, Ontario Canada ,0000 0001 2157 2938grid.17063.33Department of Molecular Genetics and McLaughlin Centre, University of Toronto, Toronto, Ontario Canada
| | - Karun K. Singh
- 0000 0004 1936 8227grid.25073.33Stem Cell and Cancer Research Institute, McMaster University, Hamilton, Ontario Canada ,0000 0004 1936 8227grid.25073.33Department of Biochemistry and Biomedical Sciences, Michael G. DeGroote School of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Ontario Canada
| | - Froylan Calderon de Anda
- Center for Molecular Neurobiology Hamburg (ZMNH), Research Group Neuronal Development, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
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The effect of copy number variations in chromosome 16p on body weight in patients with intellectual disability. J Hum Genet 2018; 64:221-231. [PMID: 30518945 DOI: 10.1038/s10038-018-0545-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Revised: 10/17/2018] [Accepted: 11/08/2018] [Indexed: 12/14/2022]
Abstract
Syndromic monogenic obesity is a rare and severe early-onset form of obesity. It is characterized by intellectual disability, congenital malformations, and/or dysmorphic facies. The diagnosis of patients is challenging due to the genetic heterogenicity of this condition. However, the use of microarray technology in combination with public databases has been successful on genotype-phenotype correlations, especially for body mass index (BMI) alteration. In this study, the relationship between copy number variations (CNVs) detected by microarray mapping on 16p region and BMI alterations in syndromic patients were assessed. In order to achieve this goal, 680 unrelated Spanish children with intellectual disability were included. 16p region was characterized by using microarray platforms. All detected variants were classified as: (I) one previously non-described 10-Mb duplication in 16p13.2p12.3 region considered causal of intellectual disability and severe overweight, and (II) eleven 16p11.2 CNVs of low prevalence but with recurrence in syndromic patients with severe BMI alteration (nine proximal and two distal). Proximal 16p11.2 CNVs have a dose-dependent effect: underweight in carriers of duplication and obesity in carriers of deletion. KCTD13 was identified as a possible candidate gene for BMI alteration on proximal syndromes, whereas SH2B1 gene was identified as candidate for distal syndromes. The results shown in this paper suggest that syndromic patients could constitute a reliable model to evaluate hypothalamic satiety and obesity disorders as well as generate a wide expectation for primary prevention of comorbidities. Furthermore, 16p13.2p12.3 showed to be an important region on the regulation of body fatness.
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Hoffmann A, Ziller M, Spengler D. Childhood-Onset Schizophrenia: Insights from Induced Pluripotent Stem Cells. Int J Mol Sci 2018; 19:E3829. [PMID: 30513688 PMCID: PMC6321410 DOI: 10.3390/ijms19123829] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 11/21/2018] [Accepted: 11/27/2018] [Indexed: 01/25/2023] Open
Abstract
Childhood-onset schizophrenia (COS) is a rare psychiatric disorder characterized by earlier onset, more severe course, and poorer outcome relative to adult-onset schizophrenia (AOS). Even though, clinical, neuroimaging, and genetic studies support that COS is continuous to AOS. Early neurodevelopmental deviations in COS are thought to be significantly mediated through poorly understood genetic risk factors that may also predispose to long-term outcome. In this review, we discuss findings from induced pluripotent stem cells (iPSCs) that allow the generation of disease-relevant cell types from early brain development. Because iPSCs capture each donor's genotype, case/control studies can uncover molecular and cellular underpinnings of COS. Indeed, recent studies identified alterations in neural progenitor and neuronal cell function, comprising dendrites, synapses, electrical activity, glutamate signaling, and miRNA expression. Interestingly, transcriptional signatures of iPSC-derived cells from patients with COS showed concordance with postmortem brain samples from SCZ, indicating that changes in vitro may recapitulate changes from the diseased brain. Considering this progress, we discuss also current caveats from the field of iPSC-based disease modeling and how to proceed from basic studies to improved diagnosis and treatment of COS.
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Affiliation(s)
- Anke Hoffmann
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany.
| | - Michael Ziller
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany.
| | - Dietmar Spengler
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany.
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Haslinger D, Waltes R, Yousaf A, Lindlar S, Schneider I, Lim CK, Tsai MM, Garvalov BK, Acker-Palmer A, Krezdorn N, Rotter B, Acker T, Guillemin GJ, Fulda S, Freitag CM, Chiocchetti AG. Loss of the Chr16p11.2 ASD candidate gene QPRT leads to aberrant neuronal differentiation in the SH-SY5Y neuronal cell model. Mol Autism 2018; 9:56. [PMID: 30443311 PMCID: PMC6220561 DOI: 10.1186/s13229-018-0239-z] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 10/15/2018] [Indexed: 12/19/2022] Open
Abstract
Background Altered neuronal development is discussed as the underlying pathogenic mechanism of autism spectrum disorders (ASD). Copy number variations of 16p11.2 have recurrently been identified in individuals with ASD. Of the 29 genes within this region, quinolinate phosphoribosyltransferase (QPRT) showed the strongest regulation during neuronal differentiation of SH-SY5Y neuroblastoma cells. We hypothesized a causal relation between this tryptophan metabolism-related enzyme and neuronal differentiation. We thus analyzed the effect of QPRT on the differentiation of SH-SY5Y and specifically focused on neuronal morphology, metabolites of the tryptophan pathway, and the neurodevelopmental transcriptome. Methods The gene dosage-dependent change of QPRT expression following Chr16p11.2 deletion was investigated in a lymphoblastoid cell line (LCL) of a deletion carrier and compared to his non-carrier parents. Expression of QPRT was tested for correlation with neuromorphology in SH-SY5Y cells. QPRT function was inhibited in SH-SY5Y neuroblastoma cells using (i) siRNA knockdown (KD), (ii) chemical mimicking of loss of QPRT, and (iii) complete CRISPR/Cas9-mediated knock out (KO). QPRT-KD cells underwent morphological analysis. Chemically inhibited and QPRT-KO cells were characterized using viability assays. Additionally, QPRT-KO cells underwent metabolite and whole transcriptome analyses. Genes differentially expressed upon KO of QPRT were tested for enrichment in biological processes and co-regulated gene-networks of the human brain. Results QPRT expression was reduced in the LCL of the deletion carrier and significantly correlated with the neuritic complexity of SH-SY5Y. The reduction of QPRT altered neuronal morphology of differentiated SH-SY5Y cells. Chemical inhibition as well as complete KO of the gene were lethal upon induction of neuronal differentiation, but not proliferation. The QPRT-associated tryptophan pathway was not affected by KO. At the transcriptome level, genes linked to neurodevelopmental processes and synaptic structures were affected. Differentially regulated genes were enriched for ASD candidates, and co-regulated gene networks were implicated in the development of the dorsolateral prefrontal cortex, the hippocampus, and the amygdala. Conclusions In this study, QPRT was causally related to in vitro neuronal differentiation of SH-SY5Y cells and affected the regulation of genes and gene networks previously implicated in ASD. Thus, our data suggest that QPRT may play an important role in the pathogenesis of ASD in Chr16p11.2 deletion carriers.
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Affiliation(s)
- Denise Haslinger
- 1Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, JW Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Regina Waltes
- 1Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, JW Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Afsheen Yousaf
- 1Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, JW Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Silvia Lindlar
- 1Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, JW Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Ines Schneider
- Institute of Experimental Cancer Research in Pediatrics, Frankfurt am Main, Germany
| | - Chai K Lim
- 3Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales Australia
| | - Meng-Miao Tsai
- 4Neuropathology, University of Giessen, Giessen, Germany
| | - Boyan K Garvalov
- 4Neuropathology, University of Giessen, Giessen, Germany.,5Department of Microvascular Biology and Pathobiology, European Center for Angioscience (ECAS), Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Amparo Acker-Palmer
- 6Institute of Cell Biology and Neuroscience and Buchmann Institute for Molecular Life Sciences (BMLS), JW Goethe University of Frankfurt, Frankfurt am Main, Germany
| | | | | | - Till Acker
- 4Neuropathology, University of Giessen, Giessen, Germany
| | - Gilles J Guillemin
- 3Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales Australia
| | - Simone Fulda
- Institute of Experimental Cancer Research in Pediatrics, Frankfurt am Main, Germany
| | - Christine M Freitag
- 1Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, JW Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Andreas G Chiocchetti
- 1Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, JW Goethe University Frankfurt, Frankfurt am Main, Germany
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Beller E, Keeser D, Wehn A, Malchow B, Karali T, Schmitt A, Papazova I, Papazov B, Schoeppe F, de Figueiredo GN, Ertl-Wagner B, Stoecklein S. T1-MPRAGE and T2-FLAIR segmentation of cortical and subcortical brain regions-an MRI evaluation study. Neuroradiology 2018; 61:129-136. [PMID: 30402744 DOI: 10.1007/s00234-018-2121-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2018] [Accepted: 10/23/2018] [Indexed: 10/27/2022]
Abstract
PURPOSE Development of a warp-based automated brain segmentation approach of 3D fluid-attenuated inversion recovery (FLAIR) images and comparison to 3D T1-based segmentation. METHODS 3D FLAIR and 3D T1-weighted sequences of 30 healthy subjects (mean age 29.9 ± 8.3 years, 8 female) were acquired on the same 3T MR scanner. Warp-based segmentation was applied for volumetry of total gray matter (GM), white matter (WM), and 116 atlas regions. Segmentation results of both sequences were compared using Pearson correlation (r). RESULTS Correlation of GM segmentation results based on FLAIR and T1 was overall good for cortical structures (mean r across all cortical structures = 0.76). Comparatively weaker results were found in the occipital lobe (r = 0.77), central region (mean r = 0.58), basal ganglia (mean r = 0.59), thalamus (r = 0.30), and cerebellum (r = 0.73). FLAIR segmentation underestimated volume of the central region compared to T1, but showed a better anatomic concordance with the occipital lobe on visual review and subcortical structures, when also compared to manual segmentation. Visual analysis of FLAIR-based WM segmentation revealed frequent misclassification of regions of high signal intensity as GM. CONCLUSION Warp-based FLAIR segmentation yields comparable results to T1 segmentation for most cortical GM structures and may provide anatomically more congruent segmentation of subcortical GM structures. Selected cortical regions, especially the central region and total WM, seem to be underestimated on FLAIR segmentation.
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Affiliation(s)
- Ebba Beller
- Department of Radiology, Ludwig-Maximilians University Munich, Munich, Germany. .,Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Universitätsmedizin Rostock, Ernst-Heydemann-Str. 6, 18057, Rostock, Germany.
| | - Daniel Keeser
- Department of Radiology, Ludwig-Maximilians University Munich, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Antonia Wehn
- Department of Radiology, Ludwig-Maximilians University Munich, Munich, Germany
| | - Berend Malchow
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Temmuz Karali
- Department of Radiology, Ludwig-Maximilians University Munich, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Andrea Schmitt
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany.,Laboratory of Neuroscience (LIM27), Institute of Psychiatry, University of Sao Paulo, Rua Dr. Ovidio Pires de Campos 785, São Paulo, SP, 05453-010, Brazil
| | - Irina Papazova
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Boris Papazov
- Department of Radiology, Ludwig-Maximilians University Munich, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Franziska Schoeppe
- Department of Radiology, Ludwig-Maximilians University Munich, Munich, Germany
| | | | - Birgit Ertl-Wagner
- Department of Radiology, Ludwig-Maximilians University Munich, Munich, Germany.,Department of Medical Imaging, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Sophia Stoecklein
- Department of Radiology, Ludwig-Maximilians University Munich, Munich, Germany
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Martin-Brevet S, Rodríguez-Herreros B, Nielsen JA, Moreau C, Modenato C, Maillard AM, Pain A, Richetin S, Jønch AE, Qureshi AY, Zürcher NR, Conus P, Chung WK, Sherr EH, Spiro JE, Kherif F, Beckmann JS, Hadjikhani N, Reymond A, Buckner RL, Draganski B, Jacquemont S, Arveiler B, Baujat G, Sloan-Béna F, Belfiore M, Bonneau D, Bouquillon S, Boute O, Brusco A, Busa T, Caberg JH, Campion D, Colombert V, Cordier MP, David A, Debray FG, Delrue MA, Doco-Fenzy M, Dunkhase-Heinl U, Edery P, Fagerberg C, Faivre L, Forzano F, Genevieve D, Gérard M, Giachino D, Guichet A, Guillin O, Héron D, Isidor B, Jacquette A, Jaillard S, Journel H, Keren B, Lacombe D, Lebon S, Le Caignec C, Lemaître MP, Lespinasse J, Mathieu-Dramart M, Mercier S, Mignot C, Missirian C, Petit F, Pilekær Sørensen K, Pinson L, Plessis G, Prieur F, Rooryck-Thambo C, Rossi M, Sanlaville D, Schlott Kristiansen B, Schluth-Bolard C, Till M, Van Haelst M, Van Maldergem L, Alupay H, Aaronson B, Ackerman S, Ankenman K, Anwar A, Atwell C, Bowe A, Beaudet AL, Benedetti M, Berg J, Berman J, Berry LN, Bibb AL, Blaskey L, Brennan J, Brewton CM, Buckner R, Bukshpun P, Burko J, Cali P, Cerban B, Chang Y, Cheong M, Chow V, Chu Z, Chudnovskaya D, Cornew L, Dale C, Dell J, Dempsey AG, Deschamps T, Earl R, Edgar J, Elgin J, Olson JE, Evans YL, Findlay A, Fischbach GD, Fisk C, Fregeau B, Gaetz B, Gaetz L, Garza S, Gerdts J, Glenn O, Gobuty SE, Golembski R, Greenup M, Heiken K, Hines K, Hinkley L, Jackson FI, Jenkins J, Jeremy RJ, Johnson K, Kanne SM, Kessler S, Khan SY, Ku M, Kuschner E, Laakman AL, Lam P, Lasala MW, Lee H, LaGuerre K, Levy S, Cavanagh AL, Llorens AV, Campe KL, Luks TL, Marco EJ, Martin S, Martin AJ, Marzano G, Masson C, McGovern KE, McNally Keehn R, Miller DT, Miller FK, Moss TJ, Murray R, Nagarajan SS, Nowell KP, Owen J, Paal AM, Packer A, Page PZ, Paul BM, Peters A, Peterson D, Poduri A, Pojman NJ, Porche K, Proud MB, Qasmieh S, Ramocki MB, Reilly B, Roberts TP, Shaw D, Sinha T, Smith-Packard B, Gallagher AS, Swarnakar V, Thieu T, Triantafallou C, Vaughan R, Wakahiro M, Wallace A, Ward T, Wenegrat J, Wolken A. Quantifying the Effects of 16p11.2 Copy Number Variants on Brain Structure: A Multisite Genetic-First Study. Biol Psychiatry 2018; 84:253-264. [PMID: 29778275 DOI: 10.1016/j.biopsych.2018.02.1176] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Revised: 02/01/2018] [Accepted: 02/24/2018] [Indexed: 12/25/2022]
Abstract
BACKGROUND 16p11.2 breakpoint 4 to 5 copy number variants (CNVs) increase the risk for developing autism spectrum disorder, schizophrenia, and language and cognitive impairment. In this multisite study, we aimed to quantify the effect of 16p11.2 CNVs on brain structure. METHODS Using voxel- and surface-based brain morphometric methods, we analyzed structural magnetic resonance imaging collected at seven sites from 78 individuals with a deletion, 71 individuals with a duplication, and 212 individuals without a CNV. RESULTS Beyond the 16p11.2-related mirror effect on global brain morphometry, we observe regional mirror differences in the insula (deletion > control > duplication). Other regions are preferentially affected by either the deletion or the duplication: the calcarine cortex and transverse temporal gyrus (deletion > control; Cohen's d > 1), the superior and middle temporal gyri (deletion < control; Cohen's d < -1), and the caudate and hippocampus (control > duplication; -0.5 > Cohen's d > -1). Measures of cognition, language, and social responsiveness and the presence of psychiatric diagnoses do not influence these results. CONCLUSIONS The global and regional effects on brain morphometry due to 16p11.2 CNVs generalize across site, computational method, age, and sex. Effect sizes on neuroimaging and cognitive traits are comparable. Findings partially overlap with results of meta-analyses performed across psychiatric disorders. However, the lack of correlation between morphometric and clinical measures suggests that CNV-associated brain changes contribute to clinical manifestations but require additional factors for the development of the disorder. These findings highlight the power of genetic risk factors as a complement to studying groups defined by behavioral criteria.
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Affiliation(s)
- Sandra Martin-Brevet
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Laboratoire de Recherche en Neuroimagerie, Département des neurosciences cliniques, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Borja Rodríguez-Herreros
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; CHU Sainte-Justine Research Center, Université de Montréal, Montréal, Quebec, Canada
| | - Jared A Nielsen
- Department of Psychology, Harvard University, Cambridge, Massachusetts; Center for Brain Science, Harvard University, Cambridge, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Clara Moreau
- CHU Sainte-Justine Research Center, Université de Montréal, Montréal, Quebec, Canada
| | - Claudia Modenato
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Laboratoire de Recherche en Neuroimagerie, Département des neurosciences cliniques, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Anne M Maillard
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Centre Cantonal Autisme, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Aurélie Pain
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Centre Cantonal Autisme, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Sonia Richetin
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Aia E Jønch
- CHU Sainte-Justine Research Center, Université de Montréal, Montréal, Quebec, Canada; Department of Clinical Genetics, Odense University Hospital, Odense, Denmark; Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Abid Y Qureshi
- Center for Brain Science, Harvard University, Cambridge, Massachusetts; Department of Neurology, University of Kansas Medical Center, Kansas City, KS
| | - Nicole R Zürcher
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Philippe Conus
- Service of General Psychiatry, Department of Psychiatry, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | | | | | - Wendy K Chung
- Simons Foundation, New York, New York; Departments of Pediatrics and Medicine, Columbia University, New York, New York
| | - Elliott H Sherr
- Department of Neurology, Department of Pediatrics, and Weill Institute for Neurosciences, University of California, San Francisco, California
| | | | - Ferath Kherif
- Laboratoire de Recherche en Neuroimagerie, Département des neurosciences cliniques, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Jacques S Beckmann
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Nouchine Hadjikhani
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Randy L Buckner
- Department of Psychology, Harvard University, Cambridge, Massachusetts; Center for Brain Science, Harvard University, Cambridge, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Bogdan Draganski
- Laboratoire de Recherche en Neuroimagerie, Département des neurosciences cliniques, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Sébastien Jacquemont
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; CHU Sainte-Justine Research Center, Université de Montréal, Montréal, Quebec, Canada.
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Nguyen RL, Medvedeva YV, Ayyagari TE, Schmunk G, Gargus JJ. Intracellular calcium dysregulation in autism spectrum disorder: An analysis of converging organelle signaling pathways. BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR CELL RESEARCH 2018; 1865:1718-1732. [PMID: 30992134 DOI: 10.1016/j.bbamcr.2018.08.003] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 07/18/2018] [Accepted: 08/02/2018] [Indexed: 12/14/2022]
Abstract
Autism spectrum disorder (ASD) is a group of complex, neurological disorders that affect early cognitive, social, and verbal development. Our understanding of ASD has vastly improved with advances in genomic sequencing technology and genetic models that have identified >800 loci with variants that increase susceptibility to ASD. Although these findings have confirmed its high heritability, the underlying mechanisms by which these genes produce the ASD phenotypes have not been defined. Current efforts have begun to "functionalize" many of these variants and envisage how these susceptibility factors converge at key biochemical and biophysical pathways. In this review, we discuss recent work on intracellular calcium signaling in ASD, including our own work, which begins to suggest it as a compelling candidate mechanism in the pathophysiology of autism and a potential therapeutic target. We consider how known variants in the calcium signaling genomic architecture of ASD may exert their deleterious effects along pathways particularly involving organelle dysfunction including the endoplasmic reticulum (ER), a major calcium store, and the mitochondria, a major calcium ion buffer, and theorize how many of these pathways intersect.
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Affiliation(s)
- Rachel L Nguyen
- Department of Physiology and Biophysics, University of California, Irvine, Irvine, CA, USA; UCI Center for Autism Research and Translation, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Yuliya V Medvedeva
- Department of Physiology and Biophysics, University of California, Irvine, Irvine, CA, USA; UCI Center for Autism Research and Translation, School of Medicine, University of California, Irvine, Irvine, CA, USA; Department of Neurology, University of California, Irvine, Irvine, CA, USA
| | - Tejasvi E Ayyagari
- Department of Physiology and Biophysics, University of California, Irvine, Irvine, CA, USA; UCI Center for Autism Research and Translation, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Galina Schmunk
- UCI Center for Autism Research and Translation, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - John Jay Gargus
- Department of Physiology and Biophysics, University of California, Irvine, Irvine, CA, USA; UCI Center for Autism Research and Translation, School of Medicine, University of California, Irvine, Irvine, CA, USA; Department of Pediatrics, Section of Human Genetics and Genomics, University of California, Irvine, Irvine, CA, USA.
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Cellular Phenotypes in Human iPSC-Derived Neurons from a Genetic Model of Autism Spectrum Disorder. Cell Rep 2018; 21:2678-2687. [PMID: 29212016 DOI: 10.1016/j.celrep.2017.11.037] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Revised: 09/01/2017] [Accepted: 11/10/2017] [Indexed: 01/26/2023] Open
Abstract
A deletion or duplication in the 16p11.2 region is associated with neurodevelopmental disorders, including autism spectrum disorder and schizophrenia. In addition to clinical characteristics, carriers of the 16p11.2 copy-number variant (CNV) manifest opposing neuroanatomical phenotypes-e.g., macrocephaly in deletion carriers (16pdel) and microcephaly in duplication carriers (16pdup). Using fibroblasts obtained from 16pdel and 16pdup carriers, we generated induced pluripotent stem cells (iPSCs) and differentiated them into neurons to identify causal cellular mechanisms underlying neurobiological phenotypes. Our study revealed increased soma size and dendrite length in 16pdel neurons and reduced neuronal size and dendrite length in 16pdup neurons. The functional properties of iPSC-derived neurons corroborated aspects of these contrasting morphological differences that may underlie brain size. Interestingly, both 16pdel and 16pdup neurons displayed reduced synaptic density, suggesting that distinct mechanisms may underlie brain size and neuronal connectivity at this locus.
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Avramopoulos D. Recent Advances in the Genetics of Schizophrenia. MOLECULAR NEUROPSYCHIATRY 2018; 4:35-51. [PMID: 29998117 PMCID: PMC6032037 DOI: 10.1159/000488679] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Accepted: 03/21/2018] [Indexed: 12/27/2022]
Abstract
The last decade brought tremendous progress in the field of schizophrenia genetics. As a result of extensive collaborations and multiple technological advances, we now recognize many types of genetic variants that increase the risk. These include large copy number variants, rare coding inherited and de novο variants, and over 100 loci harboring common risk variants. While the type and contribution to the risk vary among genetic variants, there is concordance in the functions of genes they implicate, such as those whose RNA binds the fragile X-related protein FMRP and members of the activity-regulated cytoskeletal complex involved in learning and memory. Gene expression studies add important information on the biology of the disease and recapitulate the same functional gene groups. Studies of alternative phenotypes help us widen our understanding of the genetic architecture of mental function and dysfunction, how diseases overlap not only with each other but also with non-disease phenotypes. The challenge is to apply this new knowledge to prevention and treatment and help patients. The data generated so far and emerging technologies, including new methods in cell engineering, offer significant promise that in the next decade we will unlock the translational potential of these significant discoveries.
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Affiliation(s)
- Dimitrios Avramopoulos
- Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Psychiatry, Johns Hopkins University, Baltimore, Maryland, USA
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Kumar VJ, Grissom NM, McKee SE, Schoch H, Bowman N, Havekes R, Kumar M, Pickup S, Poptani H, Reyes TM, Hawrylycz M, Abel T, Nickl-Jockschat T. Linking spatial gene expression patterns to sex-specific brain structural changes on a mouse model of 16p11.2 hemideletion. Transl Psychiatry 2018; 8:109. [PMID: 29844452 PMCID: PMC5974415 DOI: 10.1038/s41398-018-0157-z] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Revised: 04/02/2018] [Accepted: 04/10/2018] [Indexed: 02/02/2023] Open
Abstract
Neurodevelopmental disorders, such as ASD and ADHD, affect males about three to four times more often than females. 16p11.2 hemideletion is a copy number variation that is highly associated with neurodevelopmental disorders. Previous work from our lab has shown that a mouse model of 16p11.2 hemideletion (del/+) exhibits male-specific behavioral phenotypes. We, therefore, aimed to investigate with magnetic resonance imaging (MRI), whether del/+ animals also exhibited a sex-specific neuroanatomical endophenotype. Using the Allen Mouse Brain Atlas, we analyzed the expression patterns of the 27 genes within the 16p11.2 region to identify which gene expression patterns spatially overlapped with brain structural changes. MRI was performed ex vivo and the resulting images were analyzed using Voxel-based morphometry for T1-weighted sequences and tract-based spatial statistics for diffusion-weighted images. In a subsequent step, all available in situ hybridization (ISH) maps of the genes involved in the 16p11.2 hemideletion were aligned to Waxholm space and clusters obtained by sex-specific group comparisons were analyzed to determine which gene(s) showed the highest expression in these regions. We found pronounced sex-specific changes in male animals with increased fractional anisotropy in medial fiber tracts, especially in those proximate to the striatum. Moreover, we were able to identify gene expression patterns spatially overlapping with male-specific structural changes that were associated with neurite outgrowth and the MAPK pathway. Of note, previous molecular studies have found convergent changes that point to a sex-specific dysregulation of MAPK signaling. This convergent evidence supports the idea that ISH maps can be used to meaningfully analyze imaging data sets.
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Affiliation(s)
- Vinod Jangir Kumar
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
- Juelich-Aachen Research Alliance Brain, Juelich/Aachen, Germany
- Max Planck Institute for Biological Cybernetics, Tubingen, Germany
| | - Nicola M Grissom
- Department of Pharmacology, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Sarah E McKee
- Department of Pharmacology, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
| | - Hannah Schoch
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Nicole Bowman
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
| | - Robbert Havekes
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, Netherlands
| | - Manoj Kumar
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Stephen Pickup
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Harish Poptani
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
- Centre for Preclinical Imaging, University of Liverpool, Liverpool, UK
| | - Teresa M Reyes
- Department of Pharmacology, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati, Cincinnati, OH, USA
| | | | - Ted Abel
- Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa, IA, USA
| | - Thomas Nickl-Jockschat
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany.
- Juelich-Aachen Research Alliance Brain, Juelich/Aachen, Germany.
- Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa, IA, USA.
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa, IA, USA.
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Crespi BJ. The Paradox of Copy Number Variants in ASD and Schizophrenia: False Facts or False Hypotheses? REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS 2018. [DOI: 10.1007/s40489-018-0132-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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76
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McCammon JM, Blaker-Lee A, Chen X, Sive H. The 16p11.2 homologs fam57ba and doc2a generate certain brain and body phenotypes. Hum Mol Genet 2018; 26:3699-3712. [PMID: 28934389 PMCID: PMC5886277 DOI: 10.1093/hmg/ddx255] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Accepted: 06/29/2017] [Indexed: 01/28/2023] Open
Abstract
Deletion of the 16p11.2 CNV affects 25 core genes and is associated with multiple symptoms affecting brain and body, including seizures, hyperactivity, macrocephaly, and obesity. Available data suggest that most symptoms are controlled by haploinsufficiency of two or more 16p11.2 genes. To identify interacting 16p11.2 genes, we used a pairwise partial loss of function antisense screen for embryonic brain morphology, using the accessible zebrafish model. fam57ba, encoding a ceramide synthase, was identified as interacting with the doc2a gene, encoding a calcium-sensitive exocytosis regulator, a genetic interaction not previously described. Using genetic mutants, we demonstrated that doc2a+/− fam57ba+/− double heterozygotes show hyperactivity and increased seizure susceptibility relative to wild-type or single doc2a−/− or fam57ba−/− mutants. Additionally, doc2a+/− fam57ba+/− double heterozygotes demonstrate the increased body length and head size. Single doc2a+/− and fam57ba+/− heterozygotes do not show a body size increase; however, fam57ba−/− homozygous mutants show a strongly increased head size and body length, suggesting a greater contribution from fam57ba to the haploinsufficient interaction between doc2a and fam57ba. The doc2a+/− fam57ba+/− interaction has not been reported before, nor has any 16p11.2 gene previously been linked to increased body size. These findings demonstrate that one pair of 16p11.2 homologs can regulate both brain and body phenotypes that are reflective of those in people with 16p11.2 deletion. Together, these findings suggest that dysregulation of ceramide pathways and calcium sensitive exocytosis underlies seizures and large body size associated with 16p11.2 homologs in zebrafish. The data inform consideration of mechanisms underlying human 16p11.2 deletion symptoms.
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Affiliation(s)
| | - Alicia Blaker-Lee
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
| | - Xiao Chen
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Hazel Sive
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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Abstract
PURPOSE OF REVIEW Studies investigating postnatal brain growth disorders inform the biology underlying the development of human brain circuitry. This research is becoming increasingly important for the diagnosis and treatment of childhood neurodevelopmental disorders, including autism and related disorders. Here, we review recent research on typical and abnormal postnatal brain growth and examine potential biological mechanisms. RECENT FINDINGS Clinically, brain growth disorders are heralded by diverging head size for a given age and sex, but are more precisely characterized by brain imaging, post-mortem analysis, and animal model studies. Recent neuroimaging and molecular biological studies on postnatal brain growth disorders have broadened our view of both typical and pathological postnatal neurodevelopment. Correlating gene and protein function with brain growth trajectories uncovers postnatal biological mechanisms, including neuronal arborization, synaptogenesis and pruning, and gliogenesis and myelination. Recent investigations of childhood neurodevelopmental and neurodegenerative disorders highlight the underlying genetic programming and experience-dependent remodeling of neural circuitry. SUMMARY To understand typical and abnormal postnatal brain development, clinicians and researchers should characterize brain growth trajectories in the context of neurogenetic syndromes. Understanding mechanisms and trajectories of postnatal brain growth will aid in differentiating, diagnosing, and potentially treating neurodevelopmental disorders.
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Abstract
Recent large-scale genomic studies have confirmed that schizophrenia is a polygenic syndrome and have implicated a number of biological pathways in its aetiology. Both common variants individually of small effect and rarer but more penetrant genetic variants have been shown to play a role in the pathogenesis of the disorder. No simple Mendelian forms of the condition have been identified, but progress has been made in stratifying risk on the basis of the polygenic burden of common variants individually of small effect, and the contribution of rarer variants of larger effect such as Copy Number Variants (CNVs). Pathway analysis of risk-associated variants has begun to identify specific biological processes implicated in risk for the disorder, including elements of the glutamatergic NMDA receptor complex and post synaptic density, voltage-gated calcium channels, targets of the Fragile X Mental Retardation Protein (FMRP targets) and immune pathways. Genetic studies have also been used to drive genomic imaging approaches to the investigation of brain markers associated with risk for the disorder. Genomic imaging approaches have been applied both to investigate the effect of polygenic risk and to study the impact of individual higher-penetrance variants such as CNVs. Both genomic and genomic imaging approaches offer potential for the stratification of patients and at-risk groups and the development of better biomarkers of risk and treatment response; however, further research is needed to integrate this work and realise the full potential of these approaches.
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79
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Wallace AS, Hudac CM, Steinman KJ, Peterson JL, DesChamps TD, Duyzend MH, Nuttle X, Eichler EE, Bernier RA. Longitudinal report of child with de novo 16p11.2 triplication. Clin Case Rep 2017; 6:147-154. [PMID: 29375855 PMCID: PMC5771938 DOI: 10.1002/ccr3.1236] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2016] [Revised: 07/21/2017] [Accepted: 08/13/2017] [Indexed: 12/27/2022] Open
Abstract
16p11.2 deletions and duplications are commonly associated with autism spectrum disorder and linked to mirrored phenotypes of physical characteristics and higher penetrance for deletions. A male with a rare 16p11.2 triplication demonstrated a similar phenotypic presentation to deletion carriers with neurocognitive and adaptive skill deficits and above‐average physical growth.
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Affiliation(s)
- Arianne S Wallace
- Department of Psychiatry and Behavioral Sciences University of Washington Seattle Washington 98195
| | - Caitlin M Hudac
- Department of Psychiatry and Behavioral Sciences University of Washington Seattle Washington 98195
| | - Kyle J Steinman
- Department of Neurology University of Washington School of Medicine Seattle Washington 98195.,Center for Integrative Brain Research Seattle Children's Autism Center Seattle Washington 98145
| | - Jessica L Peterson
- Department of Psychiatry and Behavioral Sciences University of Washington Seattle Washington 98195
| | - Trent D DesChamps
- Department of Psychiatry and Behavioral Sciences University of Washington Seattle Washington 98195
| | - Michael H Duyzend
- Department of Genome Sciences University of Washington School of Medicine Seattle Washington 98195
| | - Xander Nuttle
- Department of Genome Sciences University of Washington School of Medicine Seattle Washington 98195
| | - Evan E Eichler
- Department of Genome Sciences University of Washington School of Medicine Seattle Washington 98195.,Howard Hughes Medical Institute Seattle Washington 98195
| | - Raphael A Bernier
- Department of Psychiatry and Behavioral Sciences University of Washington Seattle Washington 98195.,Center for Child Health, Behavior, and Development Seattle Children's Autism Center Seattle Washington 98145
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80
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Loviglio MN, Arbogast T, Jønch AE, Collins SC, Popadin K, Bonnet CS, Giannuzzi G, Maillard AM, Jacquemont S, Yalcin B, Katsanis N, Golzio C, Reymond A. The Immune Signaling Adaptor LAT Contributes to the Neuroanatomical Phenotype of 16p11.2 BP2-BP3 CNVs. Am J Hum Genet 2017; 101:564-577. [PMID: 28965845 PMCID: PMC5630231 DOI: 10.1016/j.ajhg.2017.08.016] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Accepted: 08/21/2017] [Indexed: 02/04/2023] Open
Abstract
Copy-number changes in 16p11.2 contribute significantly to neuropsychiatric traits. Besides the 600 kb BP4-BP5 CNV found in 0.5%-1% of individuals with autism spectrum disorders and schizophrenia and whose rearrangement causes reciprocal defects in head size and body weight, a second distal 220 kb BP2-BP3 CNV is likewise a potent driver of neuropsychiatric, anatomical, and metabolic pathologies. These two CNVs are engaged in complex reciprocal chromatin looping, intimating a functional relationship between genes in these regions that might be relevant to pathomechanism. We assessed the drivers of the distal 16p11.2 duplication by overexpressing each of the nine encompassed genes in zebrafish. Only overexpression of LAT induced a reduction of brain proliferating cells and concomitant microcephaly. Consistently, suppression of the zebrafish ortholog induced an increase of proliferation and macrocephaly. These phenotypes were not unique to zebrafish; Lat knockout mice show brain volumetric changes. Consistent with the hypothesis that LAT dosage is relevant to the CNV pathology, we observed similar effects upon overexpression of CD247 and ZAP70, encoding members of the LAT signalosome. We also evaluated whether LAT was interacting with KCTD13, MVP, and MAPK3, major driver and modifiers of the proximal 16p11.2 600 kb BP4-BP5 syndromes, respectively. Co-injected embryos exhibited an increased microcephaly, suggesting the presence of genetic interaction. Correspondingly, carriers of 1.7 Mb BP1-BP5 rearrangements that encompass both the BP2-BP3 and BP4-BP5 loci showed more severe phenotypes. Taken together, our results suggest that LAT, besides its well-recognized function in T cell development, is a major contributor of the 16p11.2 220 kb BP2-BP3 CNV-associated neurodevelopmental phenotypes.
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MESH Headings
- Adaptor Proteins, Signal Transducing/genetics
- Adaptor Proteins, Signal Transducing/metabolism
- Adaptor Proteins, Signal Transducing/physiology
- Adolescent
- Adult
- Aged
- Aged, 80 and over
- Animals
- Autistic Disorder/genetics
- Autistic Disorder/immunology
- Autistic Disorder/pathology
- Brain/metabolism
- Brain/pathology
- Child
- Child, Preschool
- Chromosome Deletion
- Chromosome Disorders/genetics
- Chromosome Disorders/immunology
- Chromosome Disorders/pathology
- Chromosomes, Human, Pair 16/genetics
- Chromosomes, Human, Pair 16/immunology
- Cohort Studies
- DNA Copy Number Variations
- Embryo, Nonmammalian/metabolism
- Embryo, Nonmammalian/pathology
- Female
- Gene Expression Regulation, Developmental
- Humans
- Infant
- Intellectual Disability/genetics
- Intellectual Disability/immunology
- Intellectual Disability/pathology
- Male
- Membrane Proteins/genetics
- Membrane Proteins/metabolism
- Membrane Proteins/physiology
- Mice
- Mice, Inbred C57BL
- Mice, Knockout
- Microcephaly/genetics
- Microcephaly/pathology
- Middle Aged
- Phenotype
- Phosphoproteins/physiology
- Signal Transduction
- Young Adult
- Zebrafish/embryology
- Zebrafish/genetics
- Zebrafish Proteins/genetics
- Zebrafish Proteins/metabolism
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Affiliation(s)
- Maria Nicla Loviglio
- Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland
| | - Thomas Arbogast
- Center for Human Disease Modeling, Duke University, Durham, NC 27701, USA
| | - Aia Elise Jønch
- Service of Medical Genetics, Lausanne University Hospital (CHUV), 1011 Lausanne, Switzerland
| | - Stephan C Collins
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Department of Translational Medicine and Neurogenetics; Centre National de la Recherche Scientifique, UMR7104; Institut National de la Santé et de la Recherche Médicale, U964; Université de Strasbourg, 67400 Illkirch-Graffenstaden, France
| | - Konstantin Popadin
- Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland; Immanuel Kant Baltic Federal University, 14 A. Nevskogo ul., Kaliningrad 236041, Russia
| | - Camille S Bonnet
- Center for Human Disease Modeling, Duke University, Durham, NC 27701, USA
| | - Giuliana Giannuzzi
- Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland
| | - Anne M Maillard
- Service of Medical Genetics, Lausanne University Hospital (CHUV), 1011 Lausanne, Switzerland
| | - Sébastien Jacquemont
- Service of Medical Genetics, Lausanne University Hospital (CHUV), 1011 Lausanne, Switzerland
| | - Binnaz Yalcin
- Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland; Institut de Génétique et de Biologie Moléculaire et Cellulaire, Department of Translational Medicine and Neurogenetics; Centre National de la Recherche Scientifique, UMR7104; Institut National de la Santé et de la Recherche Médicale, U964; Université de Strasbourg, 67400 Illkirch-Graffenstaden, France
| | - Nicholas Katsanis
- Center for Human Disease Modeling, Duke University, Durham, NC 27701, USA
| | - Christelle Golzio
- Center for Human Disease Modeling, Duke University, Durham, NC 27701, USA.
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland.
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81
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Varghese M, Keshav N, Jacot-Descombes S, Warda T, Wicinski B, Dickstein DL, Harony-Nicolas H, De Rubeis S, Drapeau E, Buxbaum JD, Hof PR. Autism spectrum disorder: neuropathology and animal models. Acta Neuropathol 2017; 134:537-566. [PMID: 28584888 PMCID: PMC5693718 DOI: 10.1007/s00401-017-1736-4] [Citation(s) in RCA: 293] [Impact Index Per Article: 41.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 05/30/2017] [Accepted: 05/31/2017] [Indexed: 12/13/2022]
Abstract
Autism spectrum disorder (ASD) has a major impact on the development and social integration of affected individuals and is the most heritable of psychiatric disorders. An increase in the incidence of ASD cases has prompted a surge in research efforts on the underlying neuropathologic processes. We present an overview of current findings in neuropathology studies of ASD using two investigational approaches, postmortem human brains and ASD animal models, and discuss the overlap, limitations, and significance of each. Postmortem examination of ASD brains has revealed global changes including disorganized gray and white matter, increased number of neurons, decreased volume of neuronal soma, and increased neuropil, the last reflecting changes in densities of dendritic spines, cerebral vasculature and glia. Both cortical and non-cortical areas show region-specific abnormalities in neuronal morphology and cytoarchitectural organization, with consistent findings reported from the prefrontal cortex, fusiform gyrus, frontoinsular cortex, cingulate cortex, hippocampus, amygdala, cerebellum and brainstem. The paucity of postmortem human studies linking neuropathology to the underlying etiology has been partly addressed using animal models to explore the impact of genetic and non-genetic factors clinically relevant for the ASD phenotype. Genetically modified models include those based on well-studied monogenic ASD genes (NLGN3, NLGN4, NRXN1, CNTNAP2, SHANK3, MECP2, FMR1, TSC1/2), emerging risk genes (CHD8, SCN2A, SYNGAP1, ARID1B, GRIN2B, DSCAM, TBR1), and copy number variants (15q11-q13 deletion, 15q13.3 microdeletion, 15q11-13 duplication, 16p11.2 deletion and duplication, 22q11.2 deletion). Models of idiopathic ASD include inbred rodent strains that mimic ASD behaviors as well as models developed by environmental interventions such as prenatal exposure to sodium valproate, maternal autoantibodies, and maternal immune activation. In addition to replicating some of the neuropathologic features seen in postmortem studies, a common finding in several animal models of ASD is altered density of dendritic spines, with the direction of the change depending on the specific genetic modification, age and brain region. Overall, postmortem neuropathologic studies with larger sample sizes representative of the various ASD risk genes and diverse clinical phenotypes are warranted to clarify putative etiopathogenic pathways further and to promote the emergence of clinically relevant diagnostic and therapeutic tools. In addition, as genetic alterations may render certain individuals more vulnerable to developing the pathological changes at the synapse underlying the behavioral manifestations of ASD, neuropathologic investigation using genetically modified animal models will help to improve our understanding of the disease mechanisms and enhance the development of targeted treatments.
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Affiliation(s)
- Merina Varghese
- Fishberg Department of Neuroscience, Icahn School of Medicine at Mount Sinai, Box 1639, One Gustave L. Levy Place, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Neha Keshav
- Fishberg Department of Neuroscience, Icahn School of Medicine at Mount Sinai, Box 1639, One Gustave L. Levy Place, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Sarah Jacot-Descombes
- Fishberg Department of Neuroscience, Icahn School of Medicine at Mount Sinai, Box 1639, One Gustave L. Levy Place, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Unit of Psychiatry, Department of Children and Teenagers, University Hospitals and School of Medicine, Geneva, CH-1205, Switzerland
| | - Tahia Warda
- Fishberg Department of Neuroscience, Icahn School of Medicine at Mount Sinai, Box 1639, One Gustave L. Levy Place, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Bridget Wicinski
- Fishberg Department of Neuroscience, Icahn School of Medicine at Mount Sinai, Box 1639, One Gustave L. Levy Place, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Dara L Dickstein
- Fishberg Department of Neuroscience, Icahn School of Medicine at Mount Sinai, Box 1639, One Gustave L. Levy Place, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Pathology, Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, USA
| | - Hala Harony-Nicolas
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Silvia De Rubeis
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Elodie Drapeau
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Joseph D Buxbaum
- Fishberg Department of Neuroscience, Icahn School of Medicine at Mount Sinai, Box 1639, One Gustave L. Levy Place, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Patrick R Hof
- Fishberg Department of Neuroscience, Icahn School of Medicine at Mount Sinai, Box 1639, One Gustave L. Levy Place, New York, NY, 10029, USA.
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
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82
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Piven J, Elison JT, Zylka MJ. Toward a conceptual framework for early brain and behavior development in autism. Mol Psychiatry 2017; 22:1385-1394. [PMID: 28937691 PMCID: PMC5621737 DOI: 10.1038/mp.2017.131] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 04/19/2017] [Accepted: 04/24/2017] [Indexed: 01/12/2023]
Abstract
Studies of infant siblings of older autistic probands, who are at elevated risk for autism, have demonstrated that the defining features of autism are not present in the first year of life but emerge late in the first and into the second year. A recent longitudinal neuroimaging study of high-risk siblings revealed a specific pattern of brain development in infants later diagnosed with autism, characterized by cortical surface area hyper-expansion in the first year followed by brain volume overgrowth in the second year that is associated with the emergence of autistic social deficits. Together with new observations from genetically defined autism risk alleles and rodent model, these findings suggest a conceptual framework for the early, post-natal development of autism. This framework postulates that an increase in the proliferation of neural progenitor cells and hyper-expansion of cortical surface area in the first year, occurring during a pre-symptomatic period characterized by disrupted sensorimotor and attentional experience, leads to altered experience-dependent neuronal development and decreased elimination of neuronal processes. This process is linked to brain volume overgrowth and disruption of the refinement of neural circuit connections and is associated with the emergence of autistic social deficits in the second year of life. A better understanding of the timing of developmental brain and behavior mechanisms in autism during infancy, a period which precedes the emergence of the defining features of this disorder, will likely have important implications for designing rational approaches to early intervention.
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Affiliation(s)
- J Piven
- Carolina Institute for Developmental Disabilities, The University of North Carolina, Chapel Hill, NC, USA,Department of Psychiatry, The University of North Carolina, Chapel Hill, NC, USA,Carolina Institute for Developmental Disabilities, The University of North Carolina School of Medicine, Campus Box 7255, Chapel Hill, NC 27599-7255, USA. E-mail:
| | - J T Elison
- Institute of Child Development and Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - M J Zylka
- Carolina Institute for Developmental Disabilities, The University of North Carolina, Chapel Hill, NC, USA,Department of Cell Biology and Physiology, and UNC Neuroscience Center, The University of North Carolina, Chapel Hill, NC, USA
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83
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Kang MS, Choi TY, Ryu HG, Lee D, Lee SH, Choi SY, Kim KT. Autism-like behavior caused by deletion of vaccinia-related kinase 3 is improved by TrkB stimulation. J Exp Med 2017; 214:2947-2966. [PMID: 28899869 PMCID: PMC5626391 DOI: 10.1084/jem.20160974] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2016] [Revised: 12/12/2016] [Accepted: 02/09/2017] [Indexed: 12/23/2022] Open
Abstract
Kang et al. showed that reduced vaccinia-related kinase 3 (VRK3) expression affects synaptic structure and function and results in cognitive dysfunction and autism-like behaviors in mice. TrkB stimulation reverses the altered synaptic properties and restores autism-like behaviors in VRK3-deficient mice. Vaccinia-related kinases (VRKs) are multifaceted serine/threonine kinases that play essential roles in various aspects of cell signaling, cell cycle progression, apoptosis, and neuronal development and differentiation. However, the neuronal function of VRK3 is still unknown despite its etiological potential in human autism spectrum disorder (ASD). Here, we report that VRK3-deficient mice exhibit typical symptoms of autism-like behavior, including hyperactivity, stereotyped behaviors, reduced social interaction, and impaired context-dependent spatial memory. A significant decrease in dendritic spine number and arborization were identified in the hippocampus CA1 of VRK3-deficient mice. These mice also exhibited a reduced rectification of AMPA receptor–mediated current and changes in expression of synaptic and signaling proteins, including tyrosine receptor kinase B (TrkB), Arc, and CaMKIIα. Notably, TrkB stimulation with 7,8-dihydroxyflavone reversed the altered synaptic structure and function and successfully restored autism-like behavior in VRK3-deficient mice. These results reveal that VRK3 plays a critical role in neurodevelopmental disorders and suggest a potential therapeutic strategy for ASD.
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Affiliation(s)
- Myung-Su Kang
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea
| | - Tae-Yong Choi
- Department of Physiology, Dental Research Institute, Seoul National University School of Dentistry, Seoul, Republic of Korea
| | - Hye Guk Ryu
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea
| | - Dohyun Lee
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea
| | - Seung-Hyun Lee
- Department of Physiology, Dental Research Institute, Seoul National University School of Dentistry, Seoul, Republic of Korea
| | - Se-Young Choi
- Department of Physiology, Dental Research Institute, Seoul National University School of Dentistry, Seoul, Republic of Korea
| | - Kyong-Tai Kim
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea .,Division of Integrative Biosciences and Biotechnology, Pohang University of Science and Technology, Pohang, Republic of Korea
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84
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Owen JP, Bukshpun P, Pojman N, Thieu T, Chen Q, Lee J, D'Angelo D, Glenn OA, Hunter JV, Berman JI, Roberts TP, Buckner R, Nagarajan SS, Mukherjee P, Sherr EH. Brain MR Imaging Findings and Associated Outcomes in Carriers of the Reciprocal Copy Number Variation at 16p11.2. Radiology 2017; 286:217-226. [PMID: 28786752 DOI: 10.1148/radiol.2017162934] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To identify developmental neuroradiologic findings in a large cohort of carriers who have deletion and duplication at 16p11.2 (one of the most common genetic causes of autism spectrum disorder [ASD]) and assess how these features are associated with behavioral and cognitive outcomes. Materials and Methods Seventy-nine carriers of a deletion at 16p11.2 (referred to as deletion carriers; age range, 1-48 years; mean age, 12.3 years; 42 male patients), 79 carriers of a duplication at 16p11.2 (referred to as duplication carriers; age range, 1-63 years; mean age, 24.8 years; 43 male patients), 64 unaffected family members (referred to as familial noncarriers; age range, 1-46 years; mean age, 11.7 years; 31 male participants), and 109 population control participants (age range, 6-64 years; mean age, 25.5 years; 64 male participants) were enrolled in this cross-sectional study. Participants underwent structural magnetic resonance (MR) imaging and completed cognitive and behavioral tests. MR images were reviewed for development-related abnormalities by neuroradiologists. Differences in frequency were assessed with a Fisher exact test corrected for multiple comparisons. Unsupervised machine learning was used to cluster radiologic features and an association between clusters and cognitive and behavioral scores from IQ testing, and parental measures of development were tested by using analysis of covariance. Volumetric analysis with automated segmentation was used to confirm radiologic interpretation. Results For deletion carriers, the most prominent features were dysmorphic and thicker corpora callosa compared with familial noncarriers and population control participants (16%; P < .001 and P < .001, respectively) and a greater likelihood of cerebellar tonsillar ectopia (30.7%; P < .002 and P < .001, respectively) and Chiari I malformations (9.3%; P < .299 and P < .002, respectively). For duplication carriers, the most salient findings compared with familial noncarriers and population control participants were reciprocally thinner corpora callosa (18.6%; P < .003 and P < .001, respectively), decreased white matter volume (22.9%; P < .001, and P < .001, respectively), and increased ventricular volume (24.3%; P < .001 and P < .001, respectively). By comparing cognitive assessments to imaging findings, the presence of any imaging feature associated with deletion carriers indicated worse daily living, communication, and social skills compared with deletion carriers without any radiologic abnormalities (P < .005, P < .002, and P < .004, respectively). For the duplication carriers, presence of decreased white matter, callosal volume, and/or increased ventricle size was associated with decreased full-scale and verbal IQ scores compared with duplication carriers without these findings (P < .007 and P < .004, respectively). Conclusion In two genetically related cohorts at high risk for ASD, reciprocal neuroanatomic abnormalities were found and determined to be associated with cognitive and behavioral impairments. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Julia P Owen
- From the Departments of Radiology (J.P.O., O.A.G., S.S.N., P.M.) and Neurology (P.B., N.P., T.T., E.H.S.), University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158; Department of Biostatistics, Columbia University, New York, NY (Q.C., J.L., D.D.); Department of Medicine and Pediatrics, Baylor School of Medicine, Houston, Tex (J.V.H.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (J.I.B., T.P.R.); and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Mass (R.B.)
| | - Polina Bukshpun
- From the Departments of Radiology (J.P.O., O.A.G., S.S.N., P.M.) and Neurology (P.B., N.P., T.T., E.H.S.), University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158; Department of Biostatistics, Columbia University, New York, NY (Q.C., J.L., D.D.); Department of Medicine and Pediatrics, Baylor School of Medicine, Houston, Tex (J.V.H.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (J.I.B., T.P.R.); and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Mass (R.B.)
| | - Nicholas Pojman
- From the Departments of Radiology (J.P.O., O.A.G., S.S.N., P.M.) and Neurology (P.B., N.P., T.T., E.H.S.), University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158; Department of Biostatistics, Columbia University, New York, NY (Q.C., J.L., D.D.); Department of Medicine and Pediatrics, Baylor School of Medicine, Houston, Tex (J.V.H.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (J.I.B., T.P.R.); and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Mass (R.B.)
| | - Tony Thieu
- From the Departments of Radiology (J.P.O., O.A.G., S.S.N., P.M.) and Neurology (P.B., N.P., T.T., E.H.S.), University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158; Department of Biostatistics, Columbia University, New York, NY (Q.C., J.L., D.D.); Department of Medicine and Pediatrics, Baylor School of Medicine, Houston, Tex (J.V.H.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (J.I.B., T.P.R.); and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Mass (R.B.)
| | - Qixuan Chen
- From the Departments of Radiology (J.P.O., O.A.G., S.S.N., P.M.) and Neurology (P.B., N.P., T.T., E.H.S.), University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158; Department of Biostatistics, Columbia University, New York, NY (Q.C., J.L., D.D.); Department of Medicine and Pediatrics, Baylor School of Medicine, Houston, Tex (J.V.H.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (J.I.B., T.P.R.); and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Mass (R.B.)
| | - Jihui Lee
- From the Departments of Radiology (J.P.O., O.A.G., S.S.N., P.M.) and Neurology (P.B., N.P., T.T., E.H.S.), University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158; Department of Biostatistics, Columbia University, New York, NY (Q.C., J.L., D.D.); Department of Medicine and Pediatrics, Baylor School of Medicine, Houston, Tex (J.V.H.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (J.I.B., T.P.R.); and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Mass (R.B.)
| | - Debra D'Angelo
- From the Departments of Radiology (J.P.O., O.A.G., S.S.N., P.M.) and Neurology (P.B., N.P., T.T., E.H.S.), University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158; Department of Biostatistics, Columbia University, New York, NY (Q.C., J.L., D.D.); Department of Medicine and Pediatrics, Baylor School of Medicine, Houston, Tex (J.V.H.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (J.I.B., T.P.R.); and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Mass (R.B.)
| | - Orit A Glenn
- From the Departments of Radiology (J.P.O., O.A.G., S.S.N., P.M.) and Neurology (P.B., N.P., T.T., E.H.S.), University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158; Department of Biostatistics, Columbia University, New York, NY (Q.C., J.L., D.D.); Department of Medicine and Pediatrics, Baylor School of Medicine, Houston, Tex (J.V.H.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (J.I.B., T.P.R.); and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Mass (R.B.)
| | - Jill V Hunter
- From the Departments of Radiology (J.P.O., O.A.G., S.S.N., P.M.) and Neurology (P.B., N.P., T.T., E.H.S.), University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158; Department of Biostatistics, Columbia University, New York, NY (Q.C., J.L., D.D.); Department of Medicine and Pediatrics, Baylor School of Medicine, Houston, Tex (J.V.H.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (J.I.B., T.P.R.); and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Mass (R.B.)
| | - Jeffrey I Berman
- From the Departments of Radiology (J.P.O., O.A.G., S.S.N., P.M.) and Neurology (P.B., N.P., T.T., E.H.S.), University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158; Department of Biostatistics, Columbia University, New York, NY (Q.C., J.L., D.D.); Department of Medicine and Pediatrics, Baylor School of Medicine, Houston, Tex (J.V.H.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (J.I.B., T.P.R.); and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Mass (R.B.)
| | - Timothy P Roberts
- From the Departments of Radiology (J.P.O., O.A.G., S.S.N., P.M.) and Neurology (P.B., N.P., T.T., E.H.S.), University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158; Department of Biostatistics, Columbia University, New York, NY (Q.C., J.L., D.D.); Department of Medicine and Pediatrics, Baylor School of Medicine, Houston, Tex (J.V.H.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (J.I.B., T.P.R.); and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Mass (R.B.)
| | - Randy Buckner
- From the Departments of Radiology (J.P.O., O.A.G., S.S.N., P.M.) and Neurology (P.B., N.P., T.T., E.H.S.), University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158; Department of Biostatistics, Columbia University, New York, NY (Q.C., J.L., D.D.); Department of Medicine and Pediatrics, Baylor School of Medicine, Houston, Tex (J.V.H.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (J.I.B., T.P.R.); and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Mass (R.B.)
| | - Srikantan S Nagarajan
- From the Departments of Radiology (J.P.O., O.A.G., S.S.N., P.M.) and Neurology (P.B., N.P., T.T., E.H.S.), University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158; Department of Biostatistics, Columbia University, New York, NY (Q.C., J.L., D.D.); Department of Medicine and Pediatrics, Baylor School of Medicine, Houston, Tex (J.V.H.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (J.I.B., T.P.R.); and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Mass (R.B.)
| | - Pratik Mukherjee
- From the Departments of Radiology (J.P.O., O.A.G., S.S.N., P.M.) and Neurology (P.B., N.P., T.T., E.H.S.), University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158; Department of Biostatistics, Columbia University, New York, NY (Q.C., J.L., D.D.); Department of Medicine and Pediatrics, Baylor School of Medicine, Houston, Tex (J.V.H.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (J.I.B., T.P.R.); and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Mass (R.B.)
| | - Elliott H Sherr
- From the Departments of Radiology (J.P.O., O.A.G., S.S.N., P.M.) and Neurology (P.B., N.P., T.T., E.H.S.), University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158; Department of Biostatistics, Columbia University, New York, NY (Q.C., J.L., D.D.); Department of Medicine and Pediatrics, Baylor School of Medicine, Houston, Tex (J.V.H.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (J.I.B., T.P.R.); and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Mass (R.B.)
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85
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Crespi BJ, Procyshyn TL. Williams syndrome deletions and duplications: Genetic windows to understanding anxiety, sociality, autism, and schizophrenia. Neurosci Biobehav Rev 2017; 79:14-26. [DOI: 10.1016/j.neubiorev.2017.05.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 04/06/2017] [Accepted: 05/06/2017] [Indexed: 12/30/2022]
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86
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Lin A, Ching CRK, Vajdi A, Sun D, Jonas RK, Jalbrzikowski M, Kushan-Wells L, Pacheco Hansen L, Krikorian E, Gutman B, Dokoru D, Helleman G, Thompson PM, Bearden CE. Mapping 22q11.2 Gene Dosage Effects on Brain Morphometry. J Neurosci 2017; 37:6183-6199. [PMID: 28536274 PMCID: PMC6705695 DOI: 10.1523/jneurosci.3759-16.2017] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 04/07/2017] [Accepted: 05/10/2017] [Indexed: 11/21/2022] Open
Abstract
Reciprocal chromosomal rearrangements at the 22q11.2 locus are associated with elevated risk of neurodevelopmental disorders. The 22q11.2 deletion confers the highest known genetic risk for schizophrenia, but a duplication in the same region is strongly associated with autism and is less common in schizophrenia cases than in the general population. Here we conducted the first study of 22q11.2 gene dosage effects on brain structure in a sample of 143 human subjects: 66 with 22q11.2 deletions (22q-del; 32 males), 21 with 22q11.2 duplications (22q-dup; 14 males), and 56 age- and sex-matched controls (31 males). 22q11.2 gene dosage varied positively with intracranial volume, gray and white matter volume, and cortical surface area (deletion < control < duplication). In contrast, gene dosage varied negatively with mean cortical thickness (deletion > control > duplication). Widespread differences were observed for cortical surface area with more localized effects on cortical thickness. These diametric patterns extended into subcortical regions: 22q-dup carriers had a significantly larger right hippocampus, on average, but lower right caudate and corpus callosum volume, relative to 22q-del carriers. Novel subcortical shape analysis revealed greater radial distance (thickness) of the right amygdala and left thalamus, and localized increases and decreases in subregions of the caudate, putamen, and hippocampus in 22q-dup relative to 22q-del carriers. This study provides the first evidence that 22q11.2 is a genomic region associated with gene-dose-dependent brain phenotypes. Pervasive effects on cortical surface area imply that this copy number variant affects brain structure early in the course of development.SIGNIFICANCE STATEMENT Probing naturally occurring reciprocal copy number variation in the genome may help us understand mechanisms underlying deviations from typical brain and cognitive development. The 22q11.2 genomic region is particularly susceptible to chromosomal rearrangements and contains many genes crucial for neuronal development and migration. Not surprisingly, reciprocal genomic imbalances at this locus confer some of the highest known genetic risks for developmental neuropsychiatric disorders. Here we provide the first evidence that brain morphology differs meaningfully as a function of reciprocal genomic variation at the 22q11.2 locus. Cortical thickness and surface area were affected in opposite directions with more widespread effects of gene dosage on cortical surface area.
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Affiliation(s)
- Amy Lin
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California 90095
| | - Christopher R K Ching
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California 90095
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, University of Southern California, Marina del Rey, California 90292
| | - Ariana Vajdi
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California 90095
| | - Daqiang Sun
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California 90095
| | - Rachel K Jonas
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California 90095
| | - Maria Jalbrzikowski
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, and
| | - Leila Kushan-Wells
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California 90095
| | - Laura Pacheco Hansen
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California 90095
| | - Emma Krikorian
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California 90095
| | - Boris Gutman
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, University of Southern California, Marina del Rey, California 90292
| | - Deepika Dokoru
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California 90095
| | - Gerhard Helleman
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California 90095
| | - Paul M Thompson
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, University of Southern California, Marina del Rey, California 90292
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California 90095,
- Department of Psychology, University of California at Los Angeles, Los Angeles, California 90095
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87
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Early brain development in infants at high risk for autism spectrum disorder. Nature 2017; 542:348-351. [PMID: 28202961 PMCID: PMC5336143 DOI: 10.1038/nature21369] [Citation(s) in RCA: 604] [Impact Index Per Article: 86.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Accepted: 01/06/2017] [Indexed: 12/24/2022]
Abstract
Brain enlargement has been observed in children with Autism Spectrum Disorder (ASD), but the timing of this phenomenon and its relationship to the appearance of behavioral symptoms is unknown. Retrospective head circumference and longitudinal brain volume studies of 2 year olds followed up at age 4 years, have provided evidence that increased brain volume may emerge early in development.1, 2 Studies of infants at high familial risk for autism can provide insight into the early development of autism and have found that characteristic social deficits in ASD emerge during the latter part of the first and in the second year of life3,4. These observations suggest that prospective brain imaging studies of infants at high familial risk for ASD might identify early post-natal changes in brain volume occurring before the emergence of an ASD diagnosis. In this prospective neuroimaging study of 106 infants at high familial risk of ASD and 42 low-risk infants, we show that cortical surface area hyper-expansion between 6-12 months of age precedes brain volume overgrowth observed between 12-24 months in the 15 high-risk infants diagnosed with autism at 24 months. Brain volume overgrowth was linked to the emergence and severity of autistic social deficits. A deep learning algorithm primarily using surface area information from brain MRI at 6 and 12 months of age predicted the diagnosis of autism in individual high-risk children at 24 months (with a positive predictive value of 81%, sensitivity of 88%). These findings demonstrate that early brain changes unfold during the period in which autistic behaviors are first emerging.
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88
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Blackmon K, Thesen T, Green S, Ben-Avi E, Wang X, Fuchs B, Kuzniecky R, Devinsky O. Focal Cortical Anomalies and Language Impairment in 16p11.2 Deletion and Duplication Syndrome. Cereb Cortex 2017; 28:2422-2430. [DOI: 10.1093/cercor/bhx143] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2017] [Accepted: 05/20/2017] [Indexed: 11/14/2022] Open
Affiliation(s)
- Karen Blackmon
- Department of Neurology, Epilepsy Division, New York University School of Medicine, New York, NY, USA
- Department of Physiology, Neuroscience, and Behavioral Sciences, St. George’s University School of Medicine, Grenada, West Indies
| | - Thomas Thesen
- Department of Neurology, Epilepsy Division, New York University School of Medicine, New York, NY, USA
- Department of Physiology, Neuroscience, and Behavioral Sciences, St. George’s University School of Medicine, Grenada, West Indies
- Department of Radiology, New York University School of Medicine, New York, NY, USA
| | - Sophie Green
- Department of Neurology, Epilepsy Division, New York University School of Medicine, New York, NY, USA
| | - Emma Ben-Avi
- Department of Neurology, Epilepsy Division, New York University School of Medicine, New York, NY, USA
- Department of Physiology, Neuroscience, and Behavioral Sciences, St. George’s University School of Medicine, Grenada, West Indies
| | - Xiuyuan Wang
- Department of Neurology, Epilepsy Division, New York University School of Medicine, New York, NY, USA
- Department of Radiology, New York University School of Medicine, New York, NY, USA
| | - Benjamin Fuchs
- Department of Neurology, Epilepsy Division, New York University School of Medicine, New York, NY, USA
| | - Ruben Kuzniecky
- Department of Neurology, Epilepsy Division, New York University School of Medicine, New York, NY, USA
| | - Orrin Devinsky
- Department of Neurology, Epilepsy Division, New York University School of Medicine, New York, NY, USA
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89
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Bernier R, Hudac CM, Chen Q, Zeng C, Wallace AS, Gerdts J, Earl R, Peterson J, Wolken A, Peters A, Hanson E, Goin-Kochel RP, Kanne S, Snyder LG, Chung WK. Developmental trajectories for young children with 16p11.2 copy number variation. Am J Med Genet B Neuropsychiatr Genet 2017; 174:367-380. [PMID: 28349640 DOI: 10.1002/ajmg.b.32525] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 12/16/2016] [Indexed: 11/08/2022]
Abstract
Copy number variation at 16p11.2 is associated with diverse phenotypes but little is known about the early developmental trajectories and emergence of the phenotype. This longitudinal study followed 56 children with the 16p11.2 BP4-BP5 deletion or duplication between the ages of 6 months and 8 years with diagnostic characterization and dimensional assessment across cognitive, adaptive, and behavioral domains. Linear mixed modeling revealed distinct developmental trajectories with deletions showing VIQ gains but declines in motor and social abilities while duplications showed VIQ gains and steady development across other domains. Nonparametric analyses suggest distinct trajectories and early cognitive abilities for deletion carriers who are ultimately diagnosed with intellectual disability and developmental coordination disorder as well as distinct trajectories and early social communication and cognitive abilities for duplication carriers diagnosed with ASD and intellectual disability. Findings provide predictions for patient developmental trajectories, insight into mean functioning of individuals with 16p11.2 at early ages, and highlight the need for ongoing monitoring of social and motor functioning and behavioral symptomatology to improve treatment planning. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Raphael Bernier
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington
| | - Caitlin M Hudac
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington
| | - Qixuan Chen
- Department of Biostatistics, Columbia University, New York, New York
| | - Chubing Zeng
- Department of Biostatistics, Columbia University, New York, New York
| | - Arianne Stevens Wallace
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington
| | - Jennifer Gerdts
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington
| | - Rachel Earl
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington
| | - Jessica Peterson
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington
| | - Anne Wolken
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington
| | - Alana Peters
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington
| | - Ellen Hanson
- Division of Developmental Medicine, Boston Children's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | | | - Stephen Kanne
- Thompson Autism Center, University of Missouri, Columbia, Missouri
| | | | - Wendy K Chung
- Department of Pediatrics and Medicine, Columbia University, New York, New York
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90
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Knoll M, Arnett K, Hertza J. 16p11.2 Microduplication and associated symptoms: A case study. APPLIED NEUROPSYCHOLOGY-CHILD 2017; 7:374-379. [PMID: 28532165 DOI: 10.1080/21622965.2017.1326046] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
The minimal amount known regarding chromosomal microduplications and microdeletions presents a fascinating new direction of research into better understanding misunderstood symptoms and overall genomic influence. Specifically, the 16p11.2 microduplication has been associated with a myriad of possible cognitive, physical, and emotional symptoms. The purpose of this study is to inform the reader of the biological basis of the 16p11.2 microduplication, review sources that suggest a link between the microduplication and clinically relevant diagnoses/sources of impairment, and to better understand the implications and development of symptoms through the illustration of a case example. The case study involves an adolescent African-American female that possesses the 16p11.2 microduplication and focuses on the patient's intellectual and developmental delays, seen through self-report and analysis of her neurocognitive assessment results. Additionally, the patient's associated health complications, such as the development of seizures and a possibly compromised immune system, along with the development of anxiety and depression, are discussed. Implications toward the need for more robust protocol in testing and tracking the effects of this microduplication, such as implementing immunosorbent assay testing at the first sign of associated symptoms, are explored. Limitations are discussed.
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Affiliation(s)
- Martin Knoll
- a Department of Clinical Psychology , University of South Carolina , Aiken , South Carolina
| | - Kirsten Arnett
- a Department of Clinical Psychology , University of South Carolina , Aiken , South Carolina
| | - Jeremy Hertza
- b Department of Behavioral Medicine , Walton Rehabilitation Health System , Augusta , Georgia
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91
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Ulfarsson MO, Walters GB, Gustafsson O, Steinberg S, Silva A, Doyle OM, Brammer M, Gudbjartsson DF, Arnarsdottir S, Jonsdottir GA, Gisladottir RS, Bjornsdottir G, Helgason H, Ellingsen LM, Halldorsson JG, Saemundsen E, Stefansdottir B, Jonsson L, Eiriksdottir VK, Eiriksdottir GR, Johannesdottir GH, Unnsteinsdottir U, Jonsdottir B, Magnusdottir BB, Sulem P, Thorsteinsdottir U, Sigurdsson E, Brandeis D, Meyer-Lindenberg A, Stefansson H, Stefansson K. 15q11.2 CNV affects cognitive, structural and functional correlates of dyslexia and dyscalculia. Transl Psychiatry 2017; 7:e1109. [PMID: 28440815 PMCID: PMC5416713 DOI: 10.1038/tp.2017.77] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Revised: 02/22/2017] [Accepted: 02/23/2017] [Indexed: 02/07/2023] Open
Abstract
Several copy number variants have been associated with neuropsychiatric disorders and these variants have been shown to also influence cognitive abilities in carriers unaffected by psychiatric disorders. Previously, we associated the 15q11.2(BP1-BP2) deletion with specific learning disabilities and a larger corpus callosum. Here we investigate, in a much larger sample, the effect of the 15q11.2(BP1-BP2) deletion on cognitive, structural and functional correlates of dyslexia and dyscalculia. We report that the deletion confers greatest risk of the combined phenotype of dyslexia and dyscalculia. We also show that the deletion associates with a smaller left fusiform gyrus. Moreover, tailored functional magnetic resonance imaging experiments using phonological lexical decision and multiplication verification tasks demonstrate altered activation in the left fusiform and the left angular gyri in carriers. Thus, by using convergent evidence from neuropsychological testing, and structural and functional neuroimaging, we show that the 15q11.2(BP1-BP2) deletion affects cognitive, structural and functional correlates of both dyslexia and dyscalculia.
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Affiliation(s)
- M O Ulfarsson
- deCODE Genetics/Amgen, Reykjavik, Iceland,Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland,deCODE Genetics/Amgen, Sturlugata 8, 101 Reykjavik, Iceland. E-mail: or
| | | | | | | | - A Silva
- Cardiff University Brain Imaging Research Center, Cardiff University, Cardiff, UK
| | - O M Doyle
- Institute of Psychiatry, King's College, London, UK
| | - M Brammer
- Institute of Psychiatry, King's College, London, UK
| | - D F Gudbjartsson
- deCODE Genetics/Amgen, Reykjavik, Iceland,Faculty of Physical Sciences, University of Iceland, Reykjavik, Iceland
| | - S Arnarsdottir
- deCODE Genetics/Amgen, Reykjavik, Iceland,Department of Psychiatry, Landspitali National University Hospital, Reykjavik, Iceland
| | | | | | | | - H Helgason
- deCODE Genetics/Amgen, Reykjavik, Iceland,Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland
| | - L M Ellingsen
- Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland
| | - J G Halldorsson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - E Saemundsen
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland,The State Diagnosis and Counselling Center, Kopavogur, Iceland
| | | | - L Jonsson
- deCODE Genetics/Amgen, Reykjavik, Iceland
| | | | | | | | | | | | - B B Magnusdottir
- Department of Psychiatry, Landspitali National University Hospital, Reykjavik, Iceland,School of Business, University of Reykjavik, Reykavik, Iceland
| | - P Sulem
- deCODE Genetics/Amgen, Reykjavik, Iceland
| | - U Thorsteinsdottir
- deCODE Genetics/Amgen, Reykjavik, Iceland,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - E Sigurdsson
- Department of Psychiatry, Landspitali National University Hospital, Reykjavik, Iceland,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - D Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland,Central Institute of Mental Health, University of Heidelberg Medical Faculty Mannheim, Mannheim, Germany
| | - A Meyer-Lindenberg
- Central Institute of Mental Health, University of Heidelberg Medical Faculty Mannheim, Mannheim, Germany
| | | | - K Stefansson
- deCODE Genetics/Amgen, Reykjavik, Iceland,Faculty of Medicine, University of Iceland, Reykjavik, Iceland,deCODE Genetics/Amgen, Sturlugata 8, 101 Reykjavik, Iceland. E-mail: or
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92
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Al-Jawahiri R, Milne E. Resources available for autism research in the big data era: a systematic review. PeerJ 2017; 5:e2880. [PMID: 28097074 PMCID: PMC5237363 DOI: 10.7717/peerj.2880] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Accepted: 12/07/2016] [Indexed: 12/31/2022] Open
Abstract
Recently, there has been a move encouraged by many stakeholders towards generating big, open data in many areas of research. One area where big, open data is particularly valuable is in research relating to complex heterogeneous disorders such as Autism Spectrum Disorder (ASD). The inconsistencies of findings and the great heterogeneity of ASD necessitate the use of big and open data to tackle important challenges such as understanding and defining the heterogeneity and potential subtypes of ASD. To this end, a number of initiatives have been established that aim to develop big and/or open data resources for autism research. In order to provide a useful data reference for autism researchers, a systematic search for ASD data resources was conducted using the Scopus database, the Google search engine, and the pages on 'recommended repositories' by key journals, and the findings were translated into a comprehensive list focused on ASD data. The aim of this review is to systematically search for all available ASD data resources providing the following data types: phenotypic, neuroimaging, human brain connectivity matrices, human brain statistical maps, biospecimens, and ASD participant recruitment. A total of 33 resources were found containing different types of data from varying numbers of participants. Description of the data available from each data resource, and links to each resource is provided. Moreover, key implications are addressed and underrepresented areas of data are identified.
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Affiliation(s)
- Reem Al-Jawahiri
- Department of Psychology, University of Sheffield , Sheffield , United Kingdom
| | - Elizabeth Milne
- Department of Psychology, University of Sheffield , Sheffield , United Kingdom
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93
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Lai MC, Lerch JP, Floris DL, Ruigrok AN, Pohl A, Lombardo MV, Baron-Cohen S. Imaging sex/gender and autism in the brain: Etiological implications. J Neurosci Res 2016; 95:380-397. [DOI: 10.1002/jnr.23948] [Citation(s) in RCA: 95] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Revised: 09/04/2016] [Accepted: 09/06/2016] [Indexed: 12/22/2022]
Affiliation(s)
- Meng-Chuan Lai
- Child and Youth Mental Health Collaborative at the Centre for Addiction and Mental Health and the Hospital for Sick Children, Department of Psychiatry; University of Toronto; Toronto Ontario Canada
- Autism Research Centre, Department of Psychiatry; University of Cambridge; Cambridge United Kingdom
- Department of Psychiatry; National Taiwan University Hospital and College of Medicine; Taipei Taiwan
| | - Jason P. Lerch
- Mouse Imaging Centre, Hospital for Sick Children; Toronto Ontario Canada
- Department of Medical Biophysics; University of Toronto; Toronto Ontario Canada
| | - Dorothea L. Floris
- Autism Research Centre, Department of Psychiatry; University of Cambridge; Cambridge United Kingdom
- New York University Child Study Center; New York New York USA
| | - Amber N.V. Ruigrok
- Autism Research Centre, Department of Psychiatry; University of Cambridge; Cambridge United Kingdom
| | - Alexa Pohl
- Autism Research Centre, Department of Psychiatry; University of Cambridge; Cambridge United Kingdom
| | - Michael V. Lombardo
- Autism Research Centre, Department of Psychiatry; University of Cambridge; Cambridge United Kingdom
- Department of Psychology and Center of Applied Neuroscience; University of Cyprus; Nicosia Cyprus
| | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry; University of Cambridge; Cambridge United Kingdom
- CLASS Clinic, Cambridgeshire and Peterborough NHS Foundation Trust; Cambridge United Kingdom
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94
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Angelakos CC, Watson AJ, O'Brien WT, Krainock KS, Nickl-Jockschat T, Abel T. Hyperactivity and male-specific sleep deficits in the 16p11.2 deletion mouse model of autism. Autism Res 2016; 10:572-584. [PMID: 27739237 DOI: 10.1002/aur.1707] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2016] [Revised: 07/20/2016] [Accepted: 08/18/2016] [Indexed: 12/11/2022]
Abstract
Sleep disturbances and hyperactivity are prevalent in several neurodevelopmental disorders, including autism spectrum disorders (ASDs) and attention deficit-hyperactivity disorder (ADHD). Evidence from genome-wide association studies indicates that chromosomal copy number variations (CNVs) are associated with increased prevalence of these neurodevelopmental disorders. In particular, CNVs in chromosomal region 16p11.2 profoundly increase the risk for ASD and ADHD, disorders that are more common in males than females. We hypothesized that mice hemizygous for the 16p11.2 deletion (16p11.2 del/+) would exhibit sex-specific sleep and activity alterations. To test this hypothesis, we recorded activity patterns using infrared beam breaks in the home-cage of adult male and female 16p11.2 del/+ and wildtype (WT) littermates. In comparison to controls, we found that both male and female 16p11.2 del/+ mice exhibited robust home-cage hyperactivity. In additional experiments, sleep was assessed by polysomnography over a 24-hr period. 16p11.2 del/+ male, but not female mice, exhibited significantly more time awake and significantly less time in non-rapid-eye-movement (NREM) sleep during the 24-hr period than wildtype littermates. Analysis of bouts of sleep and wakefulness revealed that 16p11.2 del/+ males, but not females, spent a significantly greater proportion of wake time in long bouts of consolidated wakefulness (greater than 42 min in duration) compared to controls. These changes in hyperactivity, wake time, and wake time distribution in the males resemble sleep disturbances observed in human ASD and ADHD patients, suggesting that the 16p11.2 del/+ mouse model may be a useful genetic model for studying sleep and activity problems in human neurodevelopmental disorders. Autism Res 2016. © 2016 International Society for Autism Research, Wiley Periodicals, Inc. Autism Res 2017, 10: 572-584. © 2016 International Society for Autism Research, Wiley Periodicals, Inc.
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Affiliation(s)
- Christopher C Angelakos
- Department of Neuroscience, Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, PA, 19104
| | - Adam J Watson
- Department of Biology, University of Pennsylvania, Philadelphia, PA, 19104
| | - W Timothy O'Brien
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, 19104
| | - Kyle S Krainock
- Department of Biology, University of Pennsylvania, Philadelphia, PA, 19104
| | - Thomas Nickl-Jockschat
- Department of Psychiatry Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany.,Jülich Aachen Research Alliance - Translational Brain Medicine, Jülich, Germany Germany and Aachen
| | - Ted Abel
- Department of Biology, University of Pennsylvania, Philadelphia, PA, 19104
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95
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Loss and Gain of MeCP2 Cause Similar Hippocampal Circuit Dysfunction that Is Rescued by Deep Brain Stimulation in a Rett Syndrome Mouse Model. Neuron 2016; 91:739-747. [PMID: 27499081 DOI: 10.1016/j.neuron.2016.07.018] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2015] [Revised: 05/01/2016] [Accepted: 07/07/2016] [Indexed: 11/22/2022]
Abstract
Loss- and gain-of-function mutations in methyl-CpG-binding protein 2 (MECP2) underlie two distinct neurological syndromes with strikingly similar features, but the synaptic and circuit-level changes mediating these shared features are undefined. Here we report three novel signs of neural circuit dysfunction in three mouse models of MECP2 disorders (constitutive Mecp2 null, mosaic Mecp2(+/-), and MECP2 duplication): abnormally elevated synchrony in the firing activity of hippocampal CA1 pyramidal neurons, an impaired homeostatic response to perturbations of excitatory-inhibitory balance, and decreased excitatory synaptic response in inhibitory neurons. Conditional mutagenesis studies revealed that MeCP2 dysfunction in excitatory neurons mediated elevated synchrony at baseline, while MeCP2 dysfunction in inhibitory neurons increased susceptibility to hypersynchronization in response to perturbations. Chronic forniceal deep brain stimulation (DBS), recently shown to rescue hippocampus-dependent learning and memory in Mecp2(+/-) (Rett) mice, also rescued all three features of hippocampal circuit dysfunction in these mice.
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96
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Chang YS, Owen JP, Pojman NJ, Thieu T, Bukshpun P, Wakahiro ML, Marco EJ, Berman JI, Spiro JE, Chung WK, Buckner RL, Roberts TP, Nagarajan SS, Sherr EH, Mukherjee P. Reciprocal white matter alterations due to 16p11.2 chromosomal deletions versus duplications. Hum Brain Mapp 2016; 37:2833-48. [PMID: 27219475 PMCID: PMC6867519 DOI: 10.1002/hbm.23211] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2015] [Revised: 03/28/2016] [Accepted: 03/31/2016] [Indexed: 01/11/2023] Open
Abstract
Copy number variants at the 16p11.2 chromosomal locus are associated with several neuropsychiatric disorders, including autism, schizophrenia, bipolar disorder, attention-deficit hyperactivity disorder, and speech and language disorders. A gene dosage dependence has been suggested, with 16p11.2 deletion carriers demonstrating higher body mass index and head circumference, and 16p11.2 duplication carriers demonstrating lower body mass index and head circumference. Here, we use diffusion tensor imaging to elucidate this reciprocal relationship in white matter organization, showing widespread increases of fractional anisotropy throughout the supratentorial white matter in pediatric deletion carriers and, in contrast, extensive decreases of white matter fractional anisotropy in pediatric and adult duplication carriers. We find associations of these white matter alterations with cognitive and behavioral impairments. We further demonstrate the value of imaging metrics for characterizing the copy number variant phenotype by employing linear discriminant analysis to predict the gene dosage status of the study subjects. These results show an effect of 16p11.2 gene dosage on white matter microstructure, and further suggest that opposite changes in diffusion tensor imaging metrics can lead to similar cognitive and behavioral deficits. Given the large effect sizes found in this study, our results support the view that specific genetic variations are more strongly associated with specific brain alterations than are shared neuropsychiatric diagnoses. Hum Brain Mapp 37:2833-2848, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Yi Shin Chang
- Department of Radiology and Biomedical ImagingUniversity of California, San Francisco185 Berry StreetSan FranciscoCalifornia94107
| | - Julia P. Owen
- Department of Radiology and Biomedical ImagingUniversity of California, San Francisco185 Berry StreetSan FranciscoCalifornia94107
- Program in BioengineeringUniversity of California, San Francisco1700 4 StSan FranciscoCalifornia94158
| | - Nicholas J. Pojman
- Department of NeurologyUniversity of California, San Francisco675 Nelson Rising LaneSan FranciscoCalifornia94158
| | - Tony Thieu
- Department of NeurologyUniversity of California, San Francisco675 Nelson Rising LaneSan FranciscoCalifornia94158
| | - Polina Bukshpun
- Department of NeurologyUniversity of California, San Francisco675 Nelson Rising LaneSan FranciscoCalifornia94158
| | - Mari L.J. Wakahiro
- Department of NeurologyUniversity of California, San Francisco675 Nelson Rising LaneSan FranciscoCalifornia94158
| | - Elysa J. Marco
- Department of NeurologyUniversity of California, San Francisco675 Nelson Rising LaneSan FranciscoCalifornia94158
| | - Jeffrey I. Berman
- Department of RadiologyChildren's Hospital of PhiladelphiaWood Bldg, Suite 2115PhiladelphiaPennsylvania19104
| | - John E. Spiro
- Simons Foundation160 Fifth Avenue, 7th FloorNew YorkNew York10010
| | - Wendy K. Chung
- Departments of Pediatrics and MedicineColumbia University Medical CenterNew YorkNew York10032
| | - Randy L. Buckner
- Center for Brain Science, Harvard University52 Oxford StreetCambridgeMassachusetts02138
| | - Timothy P.L. Roberts
- Department of RadiologyChildren's Hospital of PhiladelphiaWood Bldg, Suite 2115PhiladelphiaPennsylvania19104
| | - Srikantan S. Nagarajan
- Department of Radiology and Biomedical ImagingUniversity of California, San Francisco185 Berry StreetSan FranciscoCalifornia94107
- Program in BioengineeringUniversity of California, San Francisco1700 4 StSan FranciscoCalifornia94158
| | - Elliott H. Sherr
- Department of NeurologyUniversity of California, San Francisco675 Nelson Rising LaneSan FranciscoCalifornia94158
| | - Pratik Mukherjee
- Department of Radiology and Biomedical ImagingUniversity of California, San Francisco185 Berry StreetSan FranciscoCalifornia94107
- Program in BioengineeringUniversity of California, San Francisco1700 4 StSan FranciscoCalifornia94158
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97
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Hippolyte L, Maillard AM, Rodriguez-Herreros B, Pain A, Martin-Brevet S, Ferrari C, Conus P, Macé A, Hadjikhani N, Metspalu A, Reigo A, Kolk A, Männik K, Barker M, Isidor B, Le Caignec C, Mignot C, Schneider L, Mottron L, Keren B, David A, Doco-Fenzy M, Gérard M, Bernier R, Goin-Kochel RP, Hanson E, Green Snyder L, Ramus F, Beckmann JS, Draganski B, Reymond A, Jacquemont S. The Number of Genomic Copies at the 16p11.2 Locus Modulates Language, Verbal Memory, and Inhibition. Biol Psychiatry 2016; 80:129-139. [PMID: 26742926 DOI: 10.1016/j.biopsych.2015.10.021] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Revised: 09/30/2015] [Accepted: 10/14/2015] [Indexed: 01/15/2023]
Abstract
BACKGROUND Deletions and duplications of the 16p11.2 BP4-BP5 locus are prevalent copy number variations (CNVs), highly associated with autism spectrum disorder and schizophrenia. Beyond language and global cognition, neuropsychological assessments of these two CNVs have not yet been reported. METHODS This study investigates the relationship between the number of genomic copies at the 16p11.2 locus and cognitive domains assessed in 62 deletion carriers, 44 duplication carriers, and 71 intrafamilial control subjects. RESULTS IQ is decreased in deletion and duplication carriers, but we demonstrate contrasting cognitive profiles in these reciprocal CNVs. Deletion carriers present with severe impairments of phonology and of inhibition skills beyond what is expected for their IQ level. In contrast, for verbal memory and phonology, the data may suggest that duplication carriers outperform intrafamilial control subjects with the same IQ level. This finding is reminiscent of special isolated skills as well as contrasting language performance observed in autism spectrum disorder. Some domains, such as visuospatial and working memory, are unaffected by the 16p11.2 locus beyond the effect of decreased IQ. Neuroimaging analyses reveal that measures of inhibition covary with neuroanatomic structures previously identified as sensitive to 16p11.2 CNVs. CONCLUSIONS The simultaneous study of reciprocal CNVs suggests that the 16p11.2 genomic locus modulates specific cognitive skills according to the number of genomic copies. Further research is warranted to replicate these findings and elucidate the molecular mechanisms modulating these cognitive performances.
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Affiliation(s)
- Loyse Hippolyte
- Service de Génétique Médicale, University of Lausanne, Lausanne, Switzerland
| | - Anne M Maillard
- Service de Génétique Médicale, University of Lausanne, Lausanne, Switzerland
| | - Borja Rodriguez-Herreros
- Service de Génétique Médicale, University of Lausanne, Lausanne, Switzerland; LREN-Département des Neurosciences Cliniques, University of Lausanne, Lausanne, Switzerland
| | - Aurélie Pain
- Service de Génétique Médicale, University of Lausanne, Lausanne, Switzerland
| | - Sandra Martin-Brevet
- Service de Génétique Médicale, University of Lausanne, Lausanne, Switzerland; LREN-Département des Neurosciences Cliniques, University of Lausanne, Lausanne, Switzerland
| | - Carina Ferrari
- Department of Psychiatry, University of Lausanne, Lausanne, Switzerland
| | - Philippe Conus
- Department of Psychiatry, University of Lausanne, Lausanne, Switzerland
| | - Aurélien Macé
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland; SIB Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Nouchine Hadjikhani
- Brain Mind Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Andres Metspalu
- Department of Genetics, Tartu University Hospital, Tartu, Estonia
| | - Anu Reigo
- Department of Genetics, Tartu University Hospital, Tartu, Estonia
| | - Anneli Kolk
- United Laboratories, and Children's Clinic, Department of Neurology and Neurorehabilitation, Tartu University Hospital, Tartu, Estonia
| | - Katrin Männik
- Center for Integrative Genomics, University of Lausanne;Lausanne, Switzerland; Department of Genetics, Tartu University Hospital, Tartu, Estonia
| | - Mandy Barker
- CERY Hospital, Department of Child Psychiatry, University of Lausanne, Lausanne, Switzerland
| | | | - Cédric Le Caignec
- Service de Génétique Médicale, CHU-Nantes, Nantes; Inserm UMR957, Faculté de Médecine, Nantes
| | - Cyril Mignot
- Department of Genetics and Cytogenetics, Unité fonctionnelle de génétique clinique, Groupe Hospitalier Pitié Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France; Centre de Référence "Déficiences intellectuelles de causes rares" and Groupe de Recherche Clinique "Déficience intellectuelle et autisme", UPMC, Paris, France
| | - Laurence Schneider
- SUPEA, and Service of Neuropsychology and Neurorehabilitation, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Laurent Mottron
- Département de Psychiatrie, Université de Montréal and Hôpital Rivière des Prairies, Montreal, Quebec, Canada
| | - Boris Keren
- Department of Genetics and Cytogenetics, Unité fonctionnelle de génétique clinique, Groupe Hospitalier Pitié Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Albert David
- Service de Génétique Médicale, CHU-Nantes, Nantes
| | | | - Marion Gérard
- Department of Genetics and Cytogenetics, Unité fonctionnelle de génétique clinique, Groupe Hospitalier Pitié Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France; Département de Génétique, Hôpital Robert Debré, Université Paris VII-Paris Diderot, Paris, France
| | - Raphael Bernier
- Department of Psychiatry and Behavioral Science, University of Washington, Seattle, Washington
| | - Robin P Goin-Kochel
- Department of Pediatrics, Psychology Section, Baylor College of Medicine, Houston, Texas
| | - Ellen Hanson
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | | | | | - Franck Ramus
- Laboratoire de Sciences Cognitives et Psycholinguistique, Département d'Etudes Cognitives, Ecole Normale Supérieure, EHESS, CNRS, PSL Research University, Paris, France
| | - Jacques S Beckmann
- Service de Génétique Médicale, University of Lausanne, Lausanne, Switzerland; SIB Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Bogdan Draganski
- LREN-Département des Neurosciences Cliniques, University of Lausanne, Lausanne, Switzerland; Department of Neurology (BD), Max-Planck Institute for Human Cognitive and Brain Science, Leipzig, Germany
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne;Lausanne, Switzerland
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98
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Beyond the Diagnosis: A Path Toward Understanding Behavior Through the Lens of Rare Genetics. Biol Psychiatry 2016; 80:92-93. [PMID: 27346082 DOI: 10.1016/j.biopsych.2016.05.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Accepted: 05/26/2016] [Indexed: 11/22/2022]
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99
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Steinman KJ, Spence SJ, Ramocki MB, Proud MB, Kessler SK, Marco EJ, Green Snyder L, D'Angelo D, Chen Q, Chung WK, Sherr EH. 16p11.2 deletion and duplication: Characterizing neurologic phenotypes in a large clinically ascertained cohort. Am J Med Genet A 2016; 170:2943-2955. [DOI: 10.1002/ajmg.a.37820] [Citation(s) in RCA: 103] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Accepted: 06/13/2016] [Indexed: 12/11/2022]
Affiliation(s)
- Kyle J. Steinman
- University of Washington and Seattle Children's Research Institute; Seattle Washington
| | - Sarah J. Spence
- Boston Children's Hospital; Harvard Medical School; Boston Massachusetts
| | | | | | - Sudha K. Kessler
- Children's Hospital of Philadelphia; University of Pennsylvania; Philadelphia Pennsylvania
| | - Elysa J. Marco
- University of California, San Francisco; San Francisco California
| | | | - Debra D'Angelo
- Mailman School of Public Health; Columbia University; New York New York
| | - Qixuan Chen
- Mailman School of Public Health; Columbia University; New York New York
| | | | - Elliott H. Sherr
- University of California, San Francisco; San Francisco California
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100
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LeBlanc JJ, Nelson CA. Deletion and duplication of 16p11.2 are associated with opposing effects on visual evoked potential amplitude. Mol Autism 2016; 7:30. [PMID: 27354901 PMCID: PMC4924305 DOI: 10.1186/s13229-016-0095-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2016] [Accepted: 06/21/2016] [Indexed: 02/02/2023] Open
Abstract
Background Duplication and deletion of the chromosomal region 16p11.2 cause a broad range of impairments, including intellectual disability, language disorders, and sensory symptoms. However, it is unclear how changes in 16p11.2 dosage affect cortical circuitry during development. The aim of this study was to investigate whether the visual evoked potential (VEP) could be used as a noninvasive quantitative measure of cortical processing in children with 16p11.2 copy number variation. Methods Pattern-reversal VEPs were successfully recorded in 19 deletion carriers, 9 duplication carriers, and 13 typically developing children between the ages of 3 and 14 years. The stimulus was a black and white checkerboard (60’) that reversed contrast at 2 Hz. VEP responses were extracted from continuous EEG recorded using a high-density elasticized electrode net. Results Quantitative analysis of the VEP waveform revealed that, relative to controls, deletion carriers displayed increased amplitude and duplication carriers displayed diminished amplitude. Latencies of the VEP waveform components were unaffected by 16p11.2 status. P1 amplitude did not correlate with age, IQ, or head circumference. Conclusions The results of this study suggest that recording VEP is a useful method to assay cortical processing in children with 16p11.2 copy number variation. There is a gene dosage-dependent effect on P1 amplitude that merits further investigation. The VEP is directly translatable to animal models, offering a promising way to probe the neurobiological mechanisms underlying cortical dysfunction in this developmental disorder.
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Affiliation(s)
- Jocelyn J LeBlanc
- Division of Developmental Medicine, Laboratories of Cognitive Neuroscience, Boston Children's Hospital, Boston, MA USA ; Department of Neurology, F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA USA ; Department of Neurobiology, Harvard Medical School, Boston, MA USA
| | - Charles A Nelson
- Division of Developmental Medicine, Laboratories of Cognitive Neuroscience, Boston Children's Hospital, Boston, MA USA ; Department of Pediatrics, Harvard Medical School, Boston, MA USA
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