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Neef NE, Chang SE. Knowns and unknowns about the neurobiology of stuttering. PLoS Biol 2024; 22:e3002492. [PMID: 38386639 PMCID: PMC10883586 DOI: 10.1371/journal.pbio.3002492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2024] Open
Abstract
Stuttering occurs in early childhood during a dynamic phase of brain and behavioral development. The latest studies examining children at ages close to this critical developmental period have identified early brain alterations that are most likely linked to stuttering, while spontaneous recovery appears related to increased inter-area connectivity. By contrast, therapy-driven improvement in adults is associated with a functional reorganization within and beyond the speech network. The etiology of stuttering, however, remains enigmatic. This Unsolved Mystery highlights critical questions and points to neuroimaging findings that could inspire future research to uncover how genetics, interacting neural hierarchies, social context, and reward circuitry contribute to the many facets of stuttering.
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Affiliation(s)
- Nicole E. Neef
- Institute for Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Göttingen, Germany
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Communication Disorders, Ewha Womans University, Seoul, Korea
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2
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van Wijngaarden V, de Wilde H, Mink van der Molen D, Petter J, Stegeman I, Gerrits E, Smit AL, van den Boogaard MJ. Genetic outcomes in children with developmental language disorder: a systematic review. Front Pediatr 2024; 12:1315229. [PMID: 38298611 PMCID: PMC10828955 DOI: 10.3389/fped.2024.1315229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 01/02/2024] [Indexed: 02/02/2024] Open
Abstract
Introduction Developmental language disorder (DLD) is a common childhood condition negatively influencing communication and psychosocial development. An increasing number of pathogenic variants or chromosomal anomalies possibly related to DLD have been identified. To provide a base for accurate clinical genetic diagnostic work-up for DLD patients, understanding the specific genetic background is crucial. This study aims to give a systematic literature overview of pathogenic variants or chromosomal anomalies causative for DLD in children. Methods We conducted a systematic search in PubMed and Embase on available literature related to the genetic background of diagnosed DLD in children. Included papers were critically appraised before data extraction. An additional search in OMIM was performed to see if the described DLD genes are associated with a broader clinical spectrum. Results The search resulted in 15,842 papers. After assessing eligibility, 47 studies remained, of which 25 studies related to sex chromosome aneuploidies and 15 papers concerned other chromosomal anomalies (SCAs) and/or Copy Number Variants (CNVs), including del15q13.1-13.3 and del16p11.2. The remaining 7 studies displayed a variety of gene variants. 45 (candidate) genes related to language development, including FOXP2, GRIN2A, ERC1, and ATP2C2. After an additional search in the OMIM database, 22 of these genes were associated with a genetic disorder with a broader clinical spectrum, including intellectual disability, epilepsy, and/or autism. Conclusion Our study illustrates that DLD can be related to SCAs and specific CNV's. The reported (candidate) genes (n = 45) in the latter category reflect the genetic heterogeneity and support DLD without any comorbidities and syndromic language disorder have an overlapping genetic etiology.
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Affiliation(s)
| | - Hester de Wilde
- Department of Pediatric Otorhinolaryngology, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht, Netherlands
| | | | - Jildo Petter
- Faculty of Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Inge Stegeman
- Department of Otorhinolaryngology and Head & Neck Surgery, University Medical Center Utrecht, Utrecht, Netherlands
- Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Ellen Gerrits
- Research Group Speech and Language Therapy, HU University of Applied Sciences Utrecht, Utrecht, Netherlands
- Department of Languages, Literature and Communication, Faculty of Humanities, Utrecht University, Utrecht, Netherlands
| | - Adriana L. Smit
- Department of Otorhinolaryngology and Head & Neck Surgery, University Medical Center Utrecht, Utrecht, Netherlands
- Research Group Speech and Language Therapy, HU University of Applied Sciences Utrecht, Utrecht, Netherlands
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3
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Zemke NR, Armand EJ, Wang W, Lee S, Zhou J, Li YE, Liu H, Tian W, Nery JR, Castanon RG, Bartlett A, Osteen JK, Li D, Zhuo X, Xu V, Chang L, Dong K, Indralingam HS, Rink JA, Xie Y, Miller M, Krienen FM, Zhang Q, Taskin N, Ting J, Feng G, McCarroll SA, Callaway EM, Wang T, Lein ES, Behrens MM, Ecker JR, Ren B. Conserved and divergent gene regulatory programs of the mammalian neocortex. Nature 2023; 624:390-402. [PMID: 38092918 PMCID: PMC10719095 DOI: 10.1038/s41586-023-06819-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 11/01/2023] [Indexed: 12/17/2023]
Abstract
Divergence of cis-regulatory elements drives species-specific traits1, but how this manifests in the evolution of the neocortex at the molecular and cellular level remains unclear. Here we investigated the gene regulatory programs in the primary motor cortex of human, macaque, marmoset and mouse using single-cell multiomics assays, generating gene expression, chromatin accessibility, DNA methylome and chromosomal conformation profiles from a total of over 200,000 cells. From these data, we show evidence that divergence of transcription factor expression corresponds to species-specific epigenome landscapes. We find that conserved and divergent gene regulatory features are reflected in the evolution of the three-dimensional genome. Transposable elements contribute to nearly 80% of the human-specific candidate cis-regulatory elements in cortical cells. Through machine learning, we develop sequence-based predictors of candidate cis-regulatory elements in different species and demonstrate that the genomic regulatory syntax is highly preserved from rodents to primates. Finally, we show that epigenetic conservation combined with sequence similarity helps to uncover functional cis-regulatory elements and enhances our ability to interpret genetic variants contributing to neurological disease and traits.
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Affiliation(s)
- Nathan R Zemke
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
- Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Ethan J Armand
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, USA
| | - Wenliang Wang
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Seoyeon Lee
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Jingtian Zhou
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, USA
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Yang Eric Li
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Hanqing Liu
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Wei Tian
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Joseph R Nery
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Rosa G Castanon
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Anna Bartlett
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Julia K Osteen
- Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Daofeng Li
- Department of Genetics, The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St Louis, MO, USA
| | - Xiaoyu Zhuo
- Department of Genetics, The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St Louis, MO, USA
| | - Vincent Xu
- Department of Genetics, The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St Louis, MO, USA
| | - Lei Chang
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Keyi Dong
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
- Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Hannah S Indralingam
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
- Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Jonathan A Rink
- Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Yang Xie
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Michael Miller
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
- Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Fenna M Krienen
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
- Department of Genetics, Harvard Medical School, Boston, USA
| | - Qiangge Zhang
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Naz Taskin
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Guoping Feng
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Steven A McCarroll
- Department of Genetics, Harvard Medical School, Boston, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Edward M Callaway
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Ting Wang
- Department of Genetics, The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St Louis, MO, USA
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - M Margarita Behrens
- Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Joseph R Ecker
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
- Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA, USA.
| | - Bing Ren
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA.
- Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA.
- Institute of Genomic Medicine, Moores Cancer Center, School of Medicine, University of California San Diego, La Jolla, CA, USA.
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Lauretta ML, Jarmolowicz A, Amor DJ, Best S, Morgan AT. An Investigation of Barriers and Enablers for Genetics in Speech-Language Pathology Explored Through a Case Study of Childhood Apraxia of Speech. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2023:1-15. [PMID: 37713535 DOI: 10.1044/2023_jslhr-22-00714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/17/2023]
Abstract
PURPOSE Advancements in genetic testing and analysis have allowed improved identification of the genetic basis of childhood apraxia of speech, a rare speech presentation. This study aimed to understand speech-language pathologists' (SLPs') consideration of incorporation of genetics in clinical practice using a theory-informed qualitative approach. METHOD Semistructured interviews were conducted with 12 pediatric SLPs using a behavior change theory (Theoretical Domains Framework [TDF]) within a case study describing a child with complex co-occurring features, including childhood apraxia of speech. Interviews focused on three stages of the patient journey (prereferral, referral, and postreferral). Interviews were analyzed to identify barriers and enablers to considering incorporation of genetics in current clinical practice. Barriers and enablers were grouped and mapped onto a contextually relevant TDF-coded analysis framework. RESULTS Barriers were identified across several TDF domains, through all stages of the patient journey. Lack of confidence, relevance, and level of experience were most common prereferral, and connection to and awareness of genetics services and contextual factors were barriers in the referral stage. Perception of professional role, knowledge, and beliefs about effects on families were barriers postreferral. Associated enablers were also identified, including seeing value in genetic diagnosis, support from other health care professionals, supervision, and relationships with genetics services. CONCLUSIONS Results of this qualitative study highlight barriers and enablers to incorporating genetics into speech-language pathology clinical practice. These findings will assist in the development of theory-informed implementation strategies to support SLPs into the future. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.24112800.
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Affiliation(s)
| | - Anna Jarmolowicz
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - David J Amor
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, Victoria, Australia
- Royal Children's Hospital, Parkville, Victoria, Australia
| | - Stephanie Best
- Australian Genomics, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Health Services Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Victorian Comprehensive Cancer Centre Alliance, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Angela T Morgan
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, Victoria, Australia
- Royal Children's Hospital, Parkville, Victoria, Australia
- The University of Queensland, St. Lucia, Australia
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5
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Nayak S, Coleman PL, Ladányi E, Nitin R, Gustavson DE, Fisher SE, Magne CL, Gordon RL. The Musical Abilities, Pleiotropy, Language, and Environment (MAPLE) Framework for Understanding Musicality-Language Links Across the Lifespan. NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.) 2022; 3:615-664. [PMID: 36742012 PMCID: PMC9893227 DOI: 10.1162/nol_a_00079] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 08/08/2022] [Indexed: 04/18/2023]
Abstract
Using individual differences approaches, a growing body of literature finds positive associations between musicality and language-related abilities, complementing prior findings of links between musical training and language skills. Despite these associations, musicality has been often overlooked in mainstream models of individual differences in language acquisition and development. To better understand the biological basis of these individual differences, we propose the Musical Abilities, Pleiotropy, Language, and Environment (MAPLE) framework. This novel integrative framework posits that musical and language-related abilities likely share some common genetic architecture (i.e., genetic pleiotropy) in addition to some degree of overlapping neural endophenotypes, and genetic influences on musically and linguistically enriched environments. Drawing upon recent advances in genomic methodologies for unraveling pleiotropy, we outline testable predictions for future research on language development and how its underlying neurobiological substrates may be supported by genetic pleiotropy with musicality. In support of the MAPLE framework, we review and discuss findings from over seventy behavioral and neural studies, highlighting that musicality is robustly associated with individual differences in a range of speech-language skills required for communication and development. These include speech perception-in-noise, prosodic perception, morphosyntactic skills, phonological skills, reading skills, and aspects of second/foreign language learning. Overall, the current work provides a clear agenda and framework for studying musicality-language links using individual differences approaches, with an emphasis on leveraging advances in the genomics of complex musicality and language traits.
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Affiliation(s)
- Srishti Nayak
- Department of Otolaryngology – Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Psychology, Middle Tennessee State University, Murfreesboro, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt University School of Medicine, Vanderbilt University, TN, USA
| | - Peyton L. Coleman
- Department of Otolaryngology – Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Enikő Ladányi
- Department of Otolaryngology – Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Linguistics, Potsdam University, Potsdam, Germany
| | - Rachana Nitin
- Department of Otolaryngology – Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
| | - Daniel E. Gustavson
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Simon E. Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Cyrille L. Magne
- Department of Psychology, Middle Tennessee State University, Murfreesboro, TN, USA
- PhD Program in Literacy Studies, Middle Tennessee State University, Murfreesboro, TN, USA
| | - Reyna L. Gordon
- Department of Otolaryngology – Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Curb Center for Art, Enterprise, and Public Policy, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Kennedy Center, Vanderbilt University Medical Center, TN, USA
- Vanderbilt University School of Medicine, Vanderbilt University, TN, USA
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6
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Tielbeek JJ, Uffelmann E, Williams BS, Colodro-Conde L, Gagnon É, Mallard TT, Levitt BE, Jansen PR, Johansson A, Sallis HM, Pistis G, Saunders GRB, Allegrini AG, Rimfeld K, Konte B, Klein M, Hartmann AM, Salvatore JE, Nolte IM, Demontis D, Malmberg ALK, Burt SA, Savage JE, Sugden K, Poulton R, Harris KM, Vrieze S, McGue M, Iacono WG, Mota NR, Mill J, Viana JF, Mitchell BL, Morosoli JJ, Andlauer TFM, Ouellet-Morin I, Tremblay RE, Côté SM, Gouin JP, Brendgen MR, Dionne G, Vitaro F, Lupton MK, Martin NG, Castelao E, Räikkönen K, Eriksson JG, Lahti J, Hartman CA, Oldehinkel AJ, Snieder H, Liu H, Preisig M, Whipp A, Vuoksimaa E, Lu Y, Jern P, Rujescu D, Giegling I, Palviainen T, Kaprio J, Harden KP, Munafò MR, Morneau-Vaillancourt G, Plomin R, Viding E, Boutwell BB, Aliev F, Dick DM, Popma A, Faraone SV, Børglum AD, Medland SE, Franke B, Boivin M, Pingault JB, Glennon JC, Barnes JC, Fisher SE, Moffitt TE, Caspi A, Polderman TJC, Posthuma D. Uncovering the genetic architecture of broad antisocial behavior through a genome-wide association study meta-analysis. Mol Psychiatry 2022; 27:4453-4463. [PMID: 36284158 PMCID: PMC10902879 DOI: 10.1038/s41380-022-01793-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 08/03/2022] [Accepted: 09/09/2022] [Indexed: 01/14/2023]
Abstract
Despite the substantial heritability of antisocial behavior (ASB), specific genetic variants robustly associated with the trait have not been identified. The present study by the Broad Antisocial Behavior Consortium (BroadABC) meta-analyzed data from 28 discovery samples (N = 85,359) and five independent replication samples (N = 8058) with genotypic data and broad measures of ASB. We identified the first significant genetic associations with broad ASB, involving common intronic variants in the forkhead box protein P2 (FOXP2) gene (lead SNP rs12536335, p = 6.32 × 10-10). Furthermore, we observed intronic variation in Foxp2 and one of its targets (Cntnap2) distinguishing a mouse model of pathological aggression (BALB/cJ strain) from controls (BALB/cByJ strain). Polygenic risk score (PRS) analyses in independent samples revealed that the genetic risk for ASB was associated with several antisocial outcomes across the lifespan, including diagnosis of conduct disorder, official criminal convictions, and trajectories of antisocial development. We found substantial genetic correlations of ASB with mental health (depression rg = 0.63, insomnia rg = 0.47), physical health (overweight rg = 0.19, waist-to-hip ratio rg = 0.32), smoking (rg = 0.54), cognitive ability (intelligence rg = -0.40), educational attainment (years of schooling rg = -0.46) and reproductive traits (age at first birth rg = -0.58, father's age at death rg = -0.54). Our findings provide a starting point toward identifying critical biosocial risk mechanisms for the development of ASB.
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Affiliation(s)
- Jorim J Tielbeek
- Center for Neurogenomics and Cognitive Research, Department of Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands.
| | - Emil Uffelmann
- Center for Neurogenomics and Cognitive Research, Department of Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands
| | - Benjamin S Williams
- Department of Psychology and Neuroscience, Trinity College of Arts and Sciences, Duke University, 2020 West Main Street, Durham, NC, 27705, USA
| | - Lucía Colodro-Conde
- Psychiatric Genetics, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD, 4006, Australia
| | - Éloi Gagnon
- Research Unit on Children's Psychosocial Maladjustment, École de psychologie, Université Laval, 2523 Allée des Bibliothèques, Quebec City, QC, G1V 0A6, Canada
| | - Travis T Mallard
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Brandt E Levitt
- Carolina Population Center, University of North Carolina at Chapel Hill, 123 Franklin St, Chapel Hill, NC, 27516, USA
| | - Philip R Jansen
- Center for Neurogenomics and Cognitive Research, Department of Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands
| | - Ada Johansson
- Department of Psychology, Faculty of Arts, Psychology, and Theology, Åbo Akademi University, Tuomiokirkontori 3, FI-20500, Turku, Finland
| | - Hannah M Sallis
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield Road, Bristol, BS8 2BN, UK
| | - Giorgio Pistis
- Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Route de Cery 25, CH-1008, Prilly, Vaud, Switzerland
| | - Gretchen R B Saunders
- Department of Psychology, University of Minnesota, 75 E. River Road, Minneapolis, MN, 55455, USA
| | - Andrea G Allegrini
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, DeCrespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, DeCrespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Bettina Konte
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Marieke Klein
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Geert Groteplein 10, 6500 HB, Nijmegen, The Netherlands
| | - Annette M Hartmann
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Jessica E Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Ditte Demontis
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, 8000, Aarhus C, Aarhus, Denmark
| | - Anni L K Malmberg
- Department of Psychology and Logopedics, University of Helsinki, Haartmaninkatu 3, 00014, Helsinki, Finland
| | | | - Jeanne E Savage
- Center for Neurogenomics and Cognitive Research, Department of Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands
| | - Karen Sugden
- Department of Psychology and Neuroscience, Trinity College of Arts and Sciences, Duke University, 2020 West Main Street, Durham, NC, 27705, USA
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, Dunedin, New Zealand
| | - Kathleen Mullan Harris
- Department of Sociology, University of North Carolina at Chapel Hill, CB# 3210, 201 Hamilton Hall, Chapel Hill, NC, 27599, USA
| | - Scott Vrieze
- Department of Psychology, University of Minnesota, 75 E. River Road, Minneapolis, MN, 55455, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, 75 E. River Road, Minneapolis, MN, 55455, USA
| | - William G Iacono
- Department of Psychology, University of Minnesota, 75 E. River Road, Minneapolis, MN, 55455, USA
| | - Nina Roth Mota
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Geert Groteplein 10, 6500 HB, Nijmegen, The Netherlands
| | - Jonathan Mill
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Joana F Viana
- The Institute of Metabolism and Systems Research (IMSR), University of Birmingham, Edgbaston, Birmingham, UK
| | - Brittany L Mitchell
- Genetic Epidemiology, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD, 4006, Australia
| | - Jose J Morosoli
- Psychiatric Genetics, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD, 4006, Australia
| | - Till F M Andlauer
- Department of Neurology, Technical University of Munich, 22 Ismaninger St., 81675, Munich, Germany
| | - Isabelle Ouellet-Morin
- Research Unit on Children's Psychosocial Maladjustment, École de criminologie, Université of Montreal, 3150 Rue Jean-Brillant, Montreal, QC, H3T 1N8, Canada
| | - Richard E Tremblay
- Research Unit on Children's Psychosocial Maladjustment, Département de pédiatrie et de psychologie, University of Montreal, 90 Avenue Vincent d'Indy, Montreal, QC, H2V 2S9, Canada
| | - Sylvana M Côté
- Research Unit on Children's Psychosocial Maladjustment, CHU Ste-Justine Research Center and Department of Social and Preventive Medicine, University of Montreal, 3175 Chemin de la Côte Ste-Catherine, Montreal, QC, H3T 1C5, Canada
| | - Jean-Philippe Gouin
- Department of Psychology, Concordia University, 7141 Sherbrooke St. West, Montreal, QC, H4B 1R6, Canada
| | - Mara R Brendgen
- Research Unit on Children's Psychosocial Maladjustment, Département de psychologie, Université du Québec à Montréal, CP 8888 succursale Centre-ville, Montreal, QC, H3C 3P8, Canada
| | - Ginette Dionne
- Research Unit on Children's Psychosocial Maladjustment, École de psychologie, Université Laval, 2523 Allée des Bibliothèques, Quebec City, QC, G1V 0A6, Canada
| | - Frank Vitaro
- Research Unit on Children's Psychosocial Maladjustment, CHU Sainte-Justine Research Center and University of Montreal, 3175 Chemin de la Côte Ste-Catherine, Montreal, QC, H3T 1C5, Canada
| | - Michelle K Lupton
- Genetic Epidemiology, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD, 4006, Australia
| | - Nicholas G Martin
- Genetic Epidemiology, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD, 4006, Australia
| | - Enrique Castelao
- Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Route de Cery 25, CH-1008, Prilly, Vaud, Switzerland
| | - Katri Räikkönen
- Department of Psychology and Logopedics, University of Helsinki, Haartmaninkatu 3, 00014, Helsinki, Finland
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki, Tukholmankatu 8 B, Helsinki, Finland
| | - Jari Lahti
- Department of Psychology and Logopedics, University of Helsinki, Haartmaninkatu 3, 00014, Helsinki, Finland
| | - Catharina A Hartman
- Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Albertine J Oldehinkel
- Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Hexuan Liu
- School of Criminal Justice, University of Cincinnati, 2840 Bearcat Way, Cincinnati, OH, 45221, USA
| | - Martin Preisig
- Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Route de Cery 25, CH-1008, Prilly, Vaud, Switzerland
| | - Alyce Whipp
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, PO Box 4, (Yliopistonkatu 3), 00014, Helsinki, Finland
| | - Eero Vuoksimaa
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, PO Box 4, (Yliopistonkatu 3), 00014, Helsinki, Finland
| | - Yi Lu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12A, 171 77, Stockholm, Sweden
| | - Patrick Jern
- Department of Psychology, Faculty of Arts, Psychology, and Theology, Åbo Akademi University, Tuomiokirkontori 3, FI-20500, Turku, Finland
| | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Ina Giegling
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, PO Box 4, (Yliopistonkatu 3), 00014, Helsinki, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, PO Box 4, (Yliopistonkatu 3), 00014, Helsinki, Finland
| | - Kathryn Paige Harden
- Department of Psychology and Population Research Center, University of Texas at Austin, 108 E Dean Keeton Stop #A8000, Austin, TX, 78712, USA
| | - Marcus R Munafò
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield Road, Bristol, BS8 2BN, UK
| | - Geneviève Morneau-Vaillancourt
- Research Unit on Children's Psychosocial Maladjustment, École de psychologie, Université Laval, 2523 Allée des Bibliothèques, Quebec City, QC, G1V 0A6, Canada
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, DeCrespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Essi Viding
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Brian B Boutwell
- School of Applied Sciences, University of Mississippi, John D. Bower School of Population Health, University of Mississippi Medical Center, 84 Dormitory Row West, University, MS, 38677, USA
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Box 842018, 806W Franklin St, Richmond, VA, 23284, USA
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Box 842018, 806W Franklin St, Richmond, VA, 23284, USA
| | - Arne Popma
- Amsterdam UMC, VKC Psyche, Child and Adolescent Psychiatry & Psychosocial Care, Amsterdam, The Netherlands
| | - Stephen V Faraone
- Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Anders D Børglum
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, 8000, Aarhus C, Aarhus, Denmark
| | - Sarah E Medland
- Psychiatric Genetics, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD, 4006, Australia
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaivour, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Michel Boivin
- Research Unit on Children's Psychosocial Maladjustment, École de psychologie, Université Laval, 2523 Allée des Bibliothèques, Quebec City, QC, G1V 0A6, Canada
| | - Jean-Baptiste Pingault
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Jeffrey C Glennon
- Conway Institute of Biomolecular and Biomedical Sciences, School of Medicine, University College Dublin, Dublin, Ireland
| | - J C Barnes
- School of Criminal Justice, University of Cincinnati, 2840 Bearcat Way, Cincinnati, OH, 45221, USA
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Wundtlaan 1, 6525 XD, Nijmegen, The Netherlands
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Trinity College of Arts and Sciences, Duke University, 2020 West Main Street, Durham, NC, 27705, USA
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Trinity College of Arts and Sciences, Duke University, 2020 West Main Street, Durham, NC, 27705, USA
| | - Tinca J C Polderman
- Amsterdam UMC, VKC Psyche, Child and Adolescent Psychiatry & Psychosocial Care, Amsterdam, The Netherlands
| | - Danielle Posthuma
- Center for Neurogenomics and Cognitive Research, Department of Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands
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7
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Eising E, Mirza-Schreiber N, de Zeeuw EL, Wang CA, Truong DT, Allegrini AG, Shapland CY, Zhu G, Wigg KG, Gerritse ML, Molz B, Alagöz G, Gialluisi A, Abbondanza F, Rimfeld K, van Donkelaar M, Liao Z, Jansen PR, Andlauer TFM, Bates TC, Bernard M, Blokland K, Bonte M, Børglum AD, Bourgeron T, Brandeis D, Ceroni F, Csépe V, Dale PS, de Jong PF, DeFries JC, Démonet JF, Demontis D, Feng Y, Gordon SD, Guger SL, Hayiou-Thomas ME, Hernández-Cabrera JA, Hottenga JJ, Hulme C, Kere J, Kerr EN, Koomar T, Landerl K, Leonard GT, Lovett MW, Lyytinen H, Martin NG, Martinelli A, Maurer U, Michaelson JJ, Moll K, Monaco AP, Morgan AT, Nöthen MM, Pausova Z, Pennell CE, Pennington BF, Price KM, Rajagopal VM, Ramus F, Richer L, Simpson NH, Smith SD, Snowling MJ, Stein J, Strug LJ, Talcott JB, Tiemeier H, van der Schroeff MP, Verhoef E, Watkins KE, Wilkinson M, Wright MJ, Barr CL, Boomsma DI, Carreiras M, Franken MCJ, Gruen JR, Luciano M, Müller-Myhsok B, Newbury DF, Olson RK, Paracchini S, Paus T, Plomin R, Reilly S, Schulte-Körne G, Tomblin JB, van Bergen E, Whitehouse AJO, Willcutt EG, St Pourcain B, Francks C, Fisher SE. Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people. Proc Natl Acad Sci U S A 2022; 119:e2202764119. [PMID: 35998220 PMCID: PMC9436320 DOI: 10.1073/pnas.2202764119] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 05/31/2022] [Indexed: 12/14/2022] Open
Abstract
The use of spoken and written language is a fundamental human capacity. Individual differences in reading- and language-related skills are influenced by genetic variation, with twin-based heritability estimates of 30 to 80% depending on the trait. The genetic architecture is complex, heterogeneous, and multifactorial, but investigations of contributions of single-nucleotide polymorphisms (SNPs) were thus far underpowered. We present a multicohort genome-wide association study (GWAS) of five traits assessed individually using psychometric measures (word reading, nonword reading, spelling, phoneme awareness, and nonword repetition) in samples of 13,633 to 33,959 participants aged 5 to 26 y. We identified genome-wide significant association with word reading (rs11208009, P = 1.098 × 10-8) at a locus that has not been associated with intelligence or educational attainment. All five reading-/language-related traits showed robust SNP heritability, accounting for 13 to 26% of trait variability. Genomic structural equation modeling revealed a shared genetic factor explaining most of the variation in word/nonword reading, spelling, and phoneme awareness, which only partially overlapped with genetic variation contributing to nonword repetition, intelligence, and educational attainment. A multivariate GWAS of word/nonword reading, spelling, and phoneme awareness maximized power for follow-up investigation. Genetic correlation analysis with neuroimaging traits identified an association with the surface area of the banks of the left superior temporal sulcus, a brain region linked to the processing of spoken and written language. Heritability was enriched for genomic elements regulating gene expression in the fetal brain and in chromosomal regions that are depleted of Neanderthal variants. Together, these results provide avenues for deciphering the biological underpinnings of uniquely human traits.
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Affiliation(s)
- Else Eising
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
| | | | - Eveline L. de Zeeuw
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, the Netherlands
| | - Carol A. Wang
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW 2308, Australia
- Mothers and Babies Research Program, Hunter Medical Research Institute, Newcastle, NSW 2305, Australia
| | - Dongnhu T. Truong
- Department of Pediatrics and Genetics, Yale Medical School, New Haven, CT 06510
| | - Andrea G. Allegrini
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, United Kingdom
| | - Chin Yang Shapland
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, United Kingdom
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, United Kingdom
| | - Gu Zhu
- Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Karen G. Wigg
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada
| | - Margot L. Gerritse
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
| | - Barbara Molz
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
| | - Gökberk Alagöz
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
| | - Alessandro Gialluisi
- Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Department of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, 86077 Pozzilli, Italy
- Department of Medicine and Surgery, University of Insubria, 21100 Varese, Italy
| | - Filippo Abbondanza
- School of Medicine, University of St Andrews, KY16 9TF, St. Andrews, Scotland
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, United Kingdom
- Department of Psychology, Royal Holloway, University of London, Egham TW20 0EY, United Kingdom
| | - Marjolein van Donkelaar
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
| | - Zhijie Liao
- Department of Psychology, University of Toronto, Toronto, ON M5S 3G3,Canada
| | - Philip R. Jansen
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, 3000 CB Rotterdam, the Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV the Netherlands
- Department of Human Genetics, VU Medical Center, Amsterdam University Medical Center, 1081 BT Amsterdam, the Netherlands
| | - Till F. M. Andlauer
- Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, 81675 Munich, Germany
| | - Timothy C. Bates
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
| | - Manon Bernard
- Department of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Kirsten Blokland
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, M5G 1X8 ON, Canada
| | - Milene Bonte
- Department of Cognitive Neuroscience and Maastricht Brain Imaging Center, Faculty of Psychology and Neuroscience, Maastricht University, 6229 ER Maastricht, the Netherlands
| | - Anders D. Børglum
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, 8210 Aarhus, Denmark
- Center for Genomics and Personalized Medicine (CGPM), 8000 Aarhus, Denmark
| | - Thomas Bourgeron
- Human Genetics and Cognitive Functions, Institut Pasteur, UMR3571 Centre national de la recherche scientifique (CNRS), Université Paris Cité, Paris, 75015, France
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, 8032 Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany
| | - Fabiola Ceroni
- Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy
- Faculty of Health and Life Sciences, Oxford Brookes University, Oxford OX3 0BP, United Kingdom
| | - Valéria Csépe
- Brain Imaging Centre, Research Centre for Natural Sciences, Budapest, 1117 Hungary
- Multilingualism Doctoral School, Faculty of Modern Philology and Social Sciences, University of Pannonia, Veszprém, 8200 Hungary
| | - Philip S. Dale
- Department of Speech & Hearing Sciences, University of New Mexico, Albuquerque, NM 87131
| | - Peter F. de Jong
- Department of Child Development and Education, University of Amsterdam, 1012 WX Amsterdam, the Netherlands
| | - John C. DeFries
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO 80309-0447
- Department of Psychology and Neuroscience, University of Colorado, Boulder, CO 80309-0447
| | - Jean-François Démonet
- Leenaards Memory Centre, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV), University of Lausanne, CH-1011 Lausanne, Switzerland
| | - Ditte Demontis
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, 8210 Aarhus, Denmark
| | - Yu Feng
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada
| | - Scott D. Gordon
- Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Sharon L. Guger
- Department of Psychology, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | | | - Juan A. Hernández-Cabrera
- Departamento de Psicología, Clínica Psicobiología y Metodología, 38200, La Laguna, Santa Cruz de Tenerife, Spain
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, the Netherlands
| | - Charles Hulme
- Department of Education, University of Oxford, Oxford, Oxfordshire OX2 6PY, United Kingdom
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, 171 77 Stockholm, Sweden
- Stem Cells and Metabolism Research Program, University of Helsinki and Folkhälsan Research Center, 00014 Helsinki, Finland
| | - Elizabeth N. Kerr
- Department of Psychology, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Department of Neurology, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Department of Paediatrics, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - Tanner Koomar
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242
| | - Karin Landerl
- Institute of Psychology, University of Graz, 8010 Graz, Austria
- BioTechMed-Graz, 8010 Graz, Austria
| | - Gabriel T. Leonard
- Cognitive Neuroscience Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1G1, Canada
| | - Maureen W. Lovett
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, M5G 1X8 ON, Canada
- Department of Paediatrics, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - Heikki Lyytinen
- Department of Psychology, University of Jyväskylä, 40014 Jyväskylä, Finland
| | - Nicholas G. Martin
- Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Angela Martinelli
- School of Medicine, University of St Andrews, KY16 9TF, St. Andrews, Scotland
| | - Urs Maurer
- Department of Psychology, The Chinese University of Hong Kong, Hong Kong, China
| | | | - Kristina Moll
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University Hospital Munich, Munich, 80336 Germany
| | | | - Angela T. Morgan
- Speech and Language, Murdoch Children's Research Institute, Melbourne, VIC 3052, Australia
- Department of Audiology and Speech Pathology, University of Melbourne, Melbourne, VIC 3052, Australia
- Speech Pathology Department, Royal Children's Hospital, Melbourne, VIC 3052, Australia
| | - Markus M. Nöthen
- Institute of Human Genetics, University Hospital of Bonn, 53127 Bonn, Germany
| | - Zdenka Pausova
- Department of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON M5S 1A1, Canada
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Craig E. Pennell
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW 2308, Australia
- Mothers and Babies Research Program, Hunter Medical Research Institute, Newcastle, NSW 2305, Australia
- Maternity and Gynaecology, John Hunter Hospital, Newcastle, NSW 2305, Australia
| | | | - Kaitlyn M. Price
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, M5G 1X8 ON, Canada
- Department of Physiology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Veera M. Rajagopal
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, 8210 Aarhus, Denmark
| | - Franck Ramus
- Laboratoire de Sciences Cognitives et Psycholinguistique, Ecole Normale Supérieure, Paris Sciences & Lettres University, École des Hautes Études en Sciences Sociales (EHESS), Centre National de la Recherche Scientifique (CNRS), Paris, 75005 France
| | - Louis Richer
- Department of Health Sciences, Université du Québec à Chicoutimi, Chicoutimi, QC G7H 2B1, Canada
| | - Nuala H. Simpson
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, United Kingdom
| | - Shelley D. Smith
- Department of Neurological Sciences, College of Medicine, University of Nebraska Medical Center, Omaha, NE 68198
| | - Margaret J. Snowling
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, United Kingdom
- St. John’s College, University of Oxford, Oxford OX1 3JP, United Kingdom
| | - John Stein
- Department of Physiology, Anatomy and Genetics, Oxford University, Oxford OX1 3PT, United Kingdom
| | - Lisa J. Strug
- Department of Statistical Sciences and Computer Science and Division of Biostatistics, University of Toronto, Toronto, ON M5S 3G3, Canada
- Program in Genetics and Genome Biology and the Centre for Applied Genomics, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Joel B. Talcott
- Institute for Health and Neurodevelopment, Aston University, Birmingham B4 7ET, United Kingdom
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, 3000 CB Rotterdam, the Netherlands
- T. H. Chan School of Public Health, Harvard, Boston, MA 02115
| | - Marc P. van der Schroeff
- Department of Otolaryngology, Head and Neck Surgery, Erasmus University Medical Center, 3015 GD Rotterdam, the Netherlands
- Generation R Study Group, Erasmus University Medical Center, 3015 GD Rotterdam, the Netherlands
| | - Ellen Verhoef
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
| | - Kate E. Watkins
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, United Kingdom
| | - Margaret Wilkinson
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, M5G 1X8 ON, Canada
| | - Margaret J. Wright
- Queensland Brain Institute, University of Queensland, Brisbane, QLD 4072, Australia
| | - Cathy L. Barr
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, M5G 1X8 ON, Canada
- Department of Physiology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Dorret I. Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, the Netherlands
- Netherlands Twin Register, 1081 BT Amsterdam, the Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam University Medical Center, 1105 AZ Amsterdam, the Netherlands
| | - Manuel Carreiras
- Basque Center on Cognition, Brain and Language, Donostia-San Sebastian, 20009 Gipuzkoa, Spain
- Ikerbasque, Basque Foundation for Science, 48009 Bilbao, Vizcaya, Spain
- Lengua Vasca y Comunicación, University of the Basque Country, 48940 Bilbao, Vizcaya, Spain
| | - Marie-Christine J. Franken
- Department of Otolaryngology, Head and Neck Surgery, Erasmus University Medical Center, 3015 GD Rotterdam, the Netherlands
| | - Jeffrey R. Gruen
- Department of Pediatrics and Genetics, Yale Medical School, New Haven, CT 06510
| | - Michelle Luciano
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
| | - Bertram Müller-Myhsok
- Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Department of Health Science, University of Liverpool, Liverpool L69 7ZX, United Kingdom
| | - Dianne F. Newbury
- Faculty of Health and Life Sciences, Oxford Brookes University, Oxford OX3 0BP, United Kingdom
| | - Richard K. Olson
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO 80309-0447
| | - Silvia Paracchini
- School of Medicine, University of St Andrews, KY16 9TF, St. Andrews, Scotland
| | - Tomáš Paus
- Department of Psychiatry and Neuroscience and Centre Hospitalier Universitaire Sainte Justine, University of Montreal, Montreal, QC H3T 1J4, Canada
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, United Kingdom
| | - Sheena Reilly
- Speech and Language, Murdoch Children's Research Institute, Melbourne, VIC 3052, Australia
- Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD 4222, Australia
| | - Gerd Schulte-Körne
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, Ludwig-Maximilians-University Hospital Munich, Munich, 80336 Germany
| | - J. Bruce Tomblin
- Communication Sciences and Disorders, University of Iowa, Iowa City, IA 52242
| | - Elsje van Bergen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, the Netherlands
- Netherlands Twin Register, 1081 BT Amsterdam, the Netherlands
- Research Institute LEARN!, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, the Netherlands
| | | | - Erik G. Willcutt
- Department of Psychology and Neuroscience, University of Colorado, Boulder, CO 80309-0447
| | - Beate St Pourcain
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, United Kingdom
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 EN Nijmegen, the Netherlands
| | - Clyde Francks
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 EN Nijmegen, the Netherlands
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands
| | - Simon E. Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 EN Nijmegen, the Netherlands
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8
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Anijs M, Devanna P, Vernes SC. ARHGEF39, a Gene Implicated in Developmental Language Disorder, Activates RHOA and Is Involved in Cell De-Adhesion and Neural Progenitor Cell Proliferation. Front Mol Neurosci 2022; 15:941494. [PMID: 35959104 PMCID: PMC9359124 DOI: 10.3389/fnmol.2022.941494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 06/21/2022] [Indexed: 11/13/2022] Open
Abstract
ARHGEF39 was previously implicated in developmental language disorder (DLD) via a functional polymorphism that can disrupt post-transcriptional regulation by microRNAs. ARHGEF39 is part of the family of Rho guanine nucleotide exchange factors (RhoGEFs) that activate small Rho GTPases to regulate a wide variety of cellular processes. However, little is known about the function of ARHGEF39, or how its function might contribute to neurodevelopment or related disorders. Here, we explore the molecular function of ARHGEF39 and show that it activates the Rho GTPase RHOA and that high ARHGEF39 expression in cell cultures leads to an increase of detached cells. To explore its role in neurodevelopment, we analyse published single cell RNA-sequencing data and demonstrate that ARHGEF39 is a marker gene for proliferating neural progenitor cells and that it is co-expressed with genes involved in cell division. This suggests a role for ARHGEF39 in neurogenesis in the developing brain. The co-expression of ARHGEF39 with other RHOA-regulating genes supports RHOA as substrate of ARHGEF39 in neural cells, and the involvement of RHOA in neuropsychiatric disorders highlights a potential link between ARHGEF39 and neurodevelopment and disorder. Understanding the GTPase substrate, co-expression network, and processes downstream of ARHGEF39 provide new avenues for exploring the mechanisms by which altered expression levels of ARHGEF39 may contribute to neurodevelopment and associated disorders.
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Peter B, Davis J, Finestack L, Stoel-Gammon C, VanDam M, Bruce L, Kim Y, Eng L, Cotter S, Landis E, Beames S, Scherer N, Knerr I, Williams D, Schrock C, Potter N. Translating principles of precision medicine into speech-language pathology: Clinical trial of a proactive speech and language intervention for infants with classic galactosemia. HGG ADVANCES 2022; 3:100119. [PMID: 35677809 PMCID: PMC9168611 DOI: 10.1016/j.xhgg.2022.100119] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 05/16/2022] [Indexed: 11/18/2022] Open
Abstract
Precision medicine is an emerging approach to managing disease by taking into consideration an individual’s genetic and environmental profile toward two avenues to improved outcomes: prevention and personalized treatments. This framework is largely geared to conditions conventionally falling into the field of medical genetics. Here, we show that the same avenues to improving outcomes can be applied to conditions in the field of behavior genomics, specifically disorders of spoken language. Babble Boot Camp (BBC) is the first comprehensive and personalized program designed to proactively mitigate speech and language disorders in infants at predictable risk by fostering precursor and early communication skills via parent training. The intervention begins at child age 2 to 5 months and ends at age 24 months, with follow-up testing at 30, 42, and 54 months. To date, 44 children with a newborn diagnosis of classic galactosemia (CG) have participated in the clinical trial of BBC. CG is an inborn error of metabolism of genetic etiology that predisposes up to 85% of children to severe speech and language disorders. Of 13 children with CG who completed the intervention and all or part of the follow-up testing, only one had disordered speech and none had disordered language skills. For the treated children who completed more than one assessment, typical speech and language skills were maintained over time. This shows that knowledge of genetic risk at birth can be leveraged toward proactive and personalized management of a disorder that manifests behaviorally.
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Affiliation(s)
- Beate Peter
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
- Corresponding author
| | - Jennifer Davis
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Lizbeth Finestack
- Speech-Language-Hearing Sciences, University of Minnesota, Minneapolis, MN, USA
| | | | - Mark VanDam
- Speech and Hearing Sciences, Washington State University, Spokane, WA, USA
| | - Laurel Bruce
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Yookyung Kim
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Linda Eng
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Sarah Cotter
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Emily Landis
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Sam Beames
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Nancy Scherer
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Ina Knerr
- National Centre for Inherited Metabolic Disorders, Children’s Health Ireland at Temple Street, Dublin, Ireland
| | - Delaney Williams
- Speech and Hearing Sciences, Washington State University, Spokane, WA, USA
| | - Claire Schrock
- Speech and Hearing Sciences, Washington State University, Spokane, WA, USA
| | - Nancy Potter
- Speech and Hearing Sciences, Washington State University, Spokane, WA, USA
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10
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Nayak S, Gustavson DE, Wang Y, Below JE, Gordon RL, Magne CL. Test of Prosody via Syllable Emphasis ("TOPsy"): Psychometric Validation of a Brief Scalable Test of Lexical Stress Perception. Front Neurosci 2022; 16:765945. [PMID: 35221896 PMCID: PMC8864136 DOI: 10.3389/fnins.2022.765945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 01/04/2022] [Indexed: 11/13/2022] Open
Abstract
Prosody perception is fundamental to spoken language communication as it supports comprehension, pragmatics, morphosyntactic parsing of speech streams, and phonological awareness. A particular aspect of prosody: perceptual sensitivity to speech rhythm patterns in words (i.e., lexical stress sensitivity), is also a robust predictor of reading skills, though it has received much less attention than phonological awareness in the literature. Given the importance of prosody and reading in educational outcomes, reliable and valid tools are needed to conduct large-scale health and genetic investigations of individual differences in prosody, as groundwork for investigating the biological underpinnings of the relationship between prosody and reading. Motivated by this need, we present the Test of Prosody via Syllable Emphasis ("TOPsy") and highlight its merits as a phenotyping tool to measure lexical stress sensitivity in as little as 10 min, in scalable internet-based cohorts. In this 28-item speech rhythm perception test [modeled after the stress identification test from Wade-Woolley (2016)], participants listen to multi-syllabic spoken words and are asked to identify lexical stress patterns. Psychometric analyses in a large internet-based sample shows excellent reliability, and predictive validity for self-reported difficulties with speech-language, reading, and musical beat synchronization. Further, items loaded onto two distinct factors corresponding to initially stressed vs. non-initially stressed words. These results are consistent with previous reports that speech rhythm perception abilities correlate with musical rhythm sensitivity and speech-language/reading skills, and are implicated in reading disorders (e.g., dyslexia). We conclude that TOPsy can serve as a useful tool for studying prosodic perception at large scales in a variety of different settings, and importantly can act as a validated brief phenotype for future investigations of the genetic architecture of prosodic perception, and its relationship to educational outcomes.
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Affiliation(s)
- Srishti Nayak
- Department of Otolaryngology – Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, United States
- Department of Psychology, Middle Tennessee State University, Murfreesboro, TN, United States
| | - Daniel E. Gustavson
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Youjia Wang
- Department of Otolaryngology – Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Jennifer E. Below
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Reyna L. Gordon
- Department of Otolaryngology – Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, United States
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States
- Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Cyrille L. Magne
- Department of Psychology, Middle Tennessee State University, Murfreesboro, TN, United States
- College of Education Literacy Studies Ph.D. Program, Middle Tennessee State University, Murfreesboro, TN, United States
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11
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Scott KE, Mann RS, Schormans AL, Schmid S, Allman BL. Hyperexcitable and Immature-Like Neuronal Activity in the Auditory Cortex of Adult Rats Lacking the Language-Linked CNTNAP2 Gene. Cereb Cortex 2022; 32:4797-4817. [PMID: 35106542 PMCID: PMC9626820 DOI: 10.1093/cercor/bhab517] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 12/15/2021] [Accepted: 12/16/2021] [Indexed: 11/12/2022] Open
Abstract
The contactin-associated protein-like 2 gene, CNTNAP2, is a highly penetrant risk gene thought to play a role in the genetic etiology of language-related disorders, such as autism spectrum disorder and developmental language disorder. Despite its candidacy for influencing language development, few preclinical studies have examined the role of CNTNAP2 in auditory processing. Using in vivo and in vitro electrophysiological recordings in a rat model with translational validity, we report that a loss of the Cntnap2 gene function caused immature-like cortical evoked potentials, delayed multiunit response latencies to acoustic stimuli, impaired temporal processing, and led to a pattern of hyperexcitability in both multiunit and single cell recordings in adulthood. These collective results provide direct evidence that a constitutive loss of Cntnap2 gene function in rats can cause auditory processing impairments similar to those seen in language-related human disorders, indicating that its contribution in maintaining cortical neuron excitability may underlie the cortical activity alterations observed in Cntnap2−/− rats.
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Affiliation(s)
- Kaela E Scott
- Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Rajkamalpreet S Mann
- Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Ashley L Schormans
- Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Susanne Schmid
- Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Brian L Allman
- Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
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12
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Cirnaru MD, Song S, Tshilenge KT, Corwin C, Mleczko J, Galicia Aguirre C, Benlhabib H, Bendl J, Apontes P, Fullard J, Creus-Muncunill J, Reyahi A, Nik AM, Carlsson P, Roussos P, Mooney SD, Ellerby LM, Ehrlich ME. Unbiased identification of novel transcription factors in striatal compartmentation and striosome maturation. eLife 2021; 10:e65979. [PMID: 34609283 PMCID: PMC8492065 DOI: 10.7554/elife.65979] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 08/20/2021] [Indexed: 02/06/2023] Open
Abstract
Many diseases are linked to dysregulation of the striatum. Striatal function depends on neuronal compartmentation into striosomes and matrix. Striatal projection neurons are GABAergic medium spiny neurons (MSNs), subtyped by selective expression of receptors, neuropeptides, and other gene families. Neurogenesis of the striosome and matrix occurs in separate waves, but the factors regulating compartmentation and neuronal differentiation are largely unidentified. We performed RNA- and ATAC-seq on sorted striosome and matrix cells at postnatal day 3, using the Nr4a1-EGFP striosome reporter mouse. Focusing on the striosome, we validated the localization and/or role of Irx1, Foxf2, Olig2, and Stat1/2 in the developing striosome and the in vivo enhancer function of a striosome-specific open chromatin region 4.4 Kb downstream of Olig2. These data provide novel tools to dissect and manipulate the networks regulating MSN compartmentation and differentiation, including in human iPSC-derived striatal neurons for disease modeling and drug discovery.
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Affiliation(s)
- Maria-Daniela Cirnaru
- Department of Neurology, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Sicheng Song
- Department of Biomedical Informatics and Medical Education, University of WashingtonSeattleUnited States
| | | | - Chuhyon Corwin
- Department of Neurology, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Justyna Mleczko
- Department of Neurology, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | | | - Houda Benlhabib
- Department of Biomedical Informatics and Medical Education, University of WashingtonSeattleUnited States
| | - Jaroslav Bendl
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Institute for Genomics and Multiscale Biology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Psychiatry, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Pasha Apontes
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Institute for Genomics and Multiscale Biology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Psychiatry, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - John Fullard
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Institute for Genomics and Multiscale Biology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Psychiatry, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Jordi Creus-Muncunill
- Department of Neurology, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Azadeh Reyahi
- Department of Chemistry and Molecular Biology, University of GothenburgGothenburgSweden
| | - Ali M Nik
- Department of Chemistry and Molecular Biology, University of GothenburgGothenburgSweden
| | - Peter Carlsson
- Department of Chemistry and Molecular Biology, University of GothenburgGothenburgSweden
| | - Panos Roussos
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Institute for Genomics and Multiscale Biology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Psychiatry, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Mental Illness Research, Education, and Clinical Center (VISN 2 South)BronxUnited States
| | - Sean D Mooney
- Department of Biomedical Informatics and Medical Education, University of WashingtonSeattleUnited States
| | | | - Michelle E Ehrlich
- Department of Neurology, Icahn School of Medicine at Mount SinaiNew YorkUnited States
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13
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Tilot AK, Khramtsova EA, Liang D, Grasby KL, Jahanshad N, Painter J, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Liu S, Brotman SM, Thompson PM, Medland SE, Macciardi F, Stranger BE, Davis LK, Fisher SE, Stein JL. The Evolutionary History of Common Genetic Variants Influencing Human Cortical Surface Area. Cereb Cortex 2021; 31:1873-1887. [PMID: 33290510 PMCID: PMC7945014 DOI: 10.1093/cercor/bhaa327] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 10/09/2020] [Accepted: 10/09/2020] [Indexed: 12/15/2022] Open
Abstract
Structural brain changes along the lineage leading to modern Homo sapiens contributed to our distinctive cognitive and social abilities. However, the evolutionarily relevant molecular variants impacting key aspects of neuroanatomy are largely unknown. Here, we integrate evolutionary annotations of the genome at diverse timescales with common variant associations from large-scale neuroimaging genetic screens. We find that alleles with evidence of recent positive polygenic selection over the past 2000-3000 years are associated with increased surface area (SA) of the entire cortex, as well as specific regions, including those involved in spoken language and visual processing. Therefore, polygenic selective pressures impact the structure of specific cortical areas even over relatively recent timescales. Moreover, common sequence variation within human gained enhancers active in the prenatal cortex is associated with postnatal global SA. We show that such variation modulates the function of a regulatory element of the developmentally relevant transcription factor HEY2 in human neural progenitor cells and is associated with structural changes in the inferior frontal cortex. These results indicate that non-coding genomic regions active during prenatal cortical development are involved in the evolution of human brain structure and identify novel regulatory elements and genes impacting modern human brain structure.
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Affiliation(s)
- Amanda K Tilot
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, 6500 AH, Netherlands
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA
| | - Ekaterina A Khramtsova
- Department of Medicine, Section of Genetic Medicine & Institute for Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA
- Computational Sciences, Janssen Pharmaceuticals, Spring House, PA 19477, USA
| | - Dan Liang
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
- UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Katrina L Grasby
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Neda Jahanshad
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA
| | - Jodie Painter
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Lucía Colodro-Conde
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Janita Bralten
- Radboud University Medical Center, 6525 XZ Nijmegen, Netherlands
| | | | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Siyao Liu
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
- UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Sarah M Brotman
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
- UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Paul M Thompson
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Fabio Macciardi
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA 92697, USA
| | - Barbara E Stranger
- Department of Medicine, Section of Genetic Medicine & Institute for Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA
- Department of Pharmacology, Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lea K Davis
- Department of Medicine, Division of Medical Genetics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Vanderbilt University Medical Center, Vanderbilt Genetics Institute, Nashville, TN 37232, USA
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, 6500 AH, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, 6500 HB, Netherlands
| | - Jason L Stein
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
- UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC 27599, USA
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14
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Du J, Palaniyappan L, Liu Z, Cheng W, Gong W, Zhu M, Wang J, Zhang J, Feng J. The genetic determinants of language network dysconnectivity in drug-naïve early stage schizophrenia. NPJ SCHIZOPHRENIA 2021; 7:18. [PMID: 33658499 PMCID: PMC7930279 DOI: 10.1038/s41537-021-00141-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 01/12/2021] [Indexed: 01/31/2023]
Abstract
Schizophrenia is a neurocognitive illness of synaptic and brain network-level dysconnectivity that often reaches a persistent chronic stage in many patients. Subtle language deficits are a core feature even in the early stages of schizophrenia. However, the primacy of language network dysconnectivity and language-related genetic variants in the observed phenotype in early stages of illness remains unclear. This study used two independent schizophrenia dataset consisting of 138 and 53 drug-naïve first-episode schizophrenia (FES) patients, and 112 and 56 healthy controls, respectively. A brain-wide voxel-level functional connectivity analysis was conducted to investigate functional dysconnectivity and its relationship with illness duration. We also explored the association between critical language-related genetic (such as FOXP2) mutations and the altered functional connectivity in patients. We found elevated functional connectivity involving Broca's area, thalamus and temporal cortex that were replicated in two FES datasets. In particular, Broca's area - anterior cingulate cortex dysconnectivity was more pronounced for patients with shorter illness duration, while thalamic dysconnectivity was predominant in those with longer illness duration. Polygenic risk scores obtained from FOXP2-related genes were strongly associated with functional dysconnectivity identified in patients with shorter illness duration. Our results highlight the criticality of language network dysconnectivity, involving the Broca's area in early stages of schizophrenia, and the role of language-related genes in this aberration, providing both imaging and genetic evidence for the association between schizophrenia and the determinants of language.
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Affiliation(s)
- Jingnan Du
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Lena Palaniyappan
- Department of Psychiatry and Robarts Research Institute, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
| | - Zhaowen Liu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Weikang Gong
- Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Mengmeng Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
- Department of Computer Science, University of Warwick, Coventry, UK.
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15
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Nuclear receptor corepressors in intellectual disability and autism. Mol Psychiatry 2020; 25:2220-2236. [PMID: 32034290 PMCID: PMC7842082 DOI: 10.1038/s41380-020-0667-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 12/24/2019] [Accepted: 01/28/2020] [Indexed: 02/06/2023]
Abstract
Autism spectrum disorder (ASD) is characterized by neurocognitive dysfunctions, such as impaired social interaction and language learning. Gene-environment interactions have a pivotal role in ASD pathogenesis. Nuclear receptor corepressors (NCORs) are transcription co-regulators physically associated with histone deacetylases (HDACs) and many known players in ASD etiology such as transducin β-like 1 X-linked receptor 1 and methyl-CpG binding protein 2. The epigenome-modifying NCOR complex is sensitive to many ASD risk factors, including HDAC inhibitor valproic acid and a variety of endocrine factors, xenobiotic chemicals, or metabolites that can directly bind to multiple nuclear receptors. Here, we review recent studies of NCORs in neurocognition using animal models and human genetics approaches. We discuss functional interplays between NCORs and other known players in ASD etiology. It is conceivable that the NCOR complex may bridge the in utero environmental risk factors of ASD with epigenetic remodeling and can serve as a converging point for many gene-environment interactions in the pathogenesis of ASD and intellectual disability.
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16
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Walters CE, Nitin R, Margulis K, Boorom O, Gustavson DE, Bush CT, Davis LK, Below JE, Cox NJ, Camarata SM, Gordon RL. Automated Phenotyping Tool for Identifying Developmental Language Disorder Cases in Health Systems Data (APT-DLD): A New Research Algorithm for Deployment in Large-Scale Electronic Health Record Systems. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2020; 63:3019-3035. [PMID: 32791019 PMCID: PMC7890229 DOI: 10.1044/2020_jslhr-19-00397] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 04/23/2020] [Accepted: 05/19/2020] [Indexed: 05/13/2023]
Abstract
Purpose Data mining algorithms using electronic health records (EHRs) are useful in large-scale population-wide studies to classify etiology and comorbidities (Casey et al., 2016). Here, we apply this approach to developmental language disorder (DLD), a prevalent communication disorder whose risk factors and epidemiology remain largely undiscovered. Method We first created a reliable system for manually identifying DLD in EHRs based on speech-language pathologist (SLP) diagnostic expertise. We then developed and validated an automated algorithmic procedure, called, Automated Phenotyping Tool for identifying DLD cases in health systems data (APT-DLD), that classifies a DLD status for patients within EHRs on the basis of ICD (International Statistical Classification of Diseases and Related Health Problems) codes. APT-DLD was validated in a discovery sample (N = 973) using expert SLP manual phenotype coding as a gold-standard comparison and then applied and further validated in a replication sample of N = 13,652 EHRs. Results In the discovery sample, the APT-DLD algorithm correctly classified 98% (concordance) of DLD cases in concordance with manually coded records in the training set, indicating that APT-DLD successfully mimics a comprehensive chart review. The output of APT-DLD was also validated in relation to independently conducted SLP clinician coding in a subset of records, with a positive predictive value of 95% of cases correctly classified as DLD. We also applied APT-DLD to the replication sample, where it achieved a positive predictive value of 90% in relation to SLP clinician classification of DLD. Conclusions APT-DLD is a reliable, valid, and scalable tool for identifying DLD cohorts in EHRs. This new method has promising public health implications for future large-scale epidemiological investigations of DLD and may inform EHR data mining algorithms for other communication disorders. Supplemental Material https://doi.org/10.23641/asha.12753578.
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Affiliation(s)
- Courtney E. Walters
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, TN
- Neuroscience Program, College of Arts and Science, Vanderbilt University, Nashville, TN
| | - Rachana Nitin
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN
| | - Katherine Margulis
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN
- Kennedy Krieger Institute, Baltimore, MD
| | - Olivia Boorom
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN
| | - Daniel E. Gustavson
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
| | - Catherine T. Bush
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN
| | - Lea K. Davis
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Jennifer E. Below
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Nancy J. Cox
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Stephen M. Camarata
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN
| | - Reyna L. Gordon
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
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17
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Kalnak N, Löwgren K, Hansson K. Past-tense inflection of non-verbs: a potential clinical marker of developmental language disorder in Swedish children. LOGOP PHONIATR VOCO 2020; 47:10-17. [PMID: 32894034 DOI: 10.1080/14015439.2020.1810311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
AIM In this paper, we explore the performance of past-tense inflection of non-verbs (NVI) in children with developmental language disorder (DLD) and in typically developing controls, to investigate its accuracy as a clinical marker for Swedish-speaking children with DLD. Further, we investigate the relationship between NVI, nonword-repetition, and family history. METHODS The sample consists of 36 children with DLD (mean age 9;5 years) and 60 controls (mean age 9;2 years). RESULTS The DLD group performed significantly lower than the controls on the NVI task, with a large effect size of the difference (d = 1.52). Analysis of the clinical accuracy of NVI resulted in 80.6% sensitivity and 76.6% specificity. NVI was significantly and moderately associated with nonword-repetition in the controls, but not in the DLD group. A positive family history, 80.6% in the DLD group and 6.9% in the controls, was associated with lower performance on NVI. When controlling for group (DLD and controls), a non-significant association between family history and performance on the NVI task was found. CONCLUSIONS NVI is a potential clinical marker of DLD in Swedish school-aged children, but the current NVI task does not reach the level of being acceptable. Further development of the NVI task is warranted to improve its accuracy.
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Affiliation(s)
- Nelli Kalnak
- Department of Women's and Children's Health, Center of Neurodevelopmental Disorders, Karolinska Institutet, Solna, Sweden.,Department of Clinical Sciences Lund, Child and Adolescent Psychiatry Unit, Lund University, Lund, Sweden
| | - Karolina Löwgren
- Department of Clinical Sciences, BMC F12, Lund University, Lund, Sweden
| | - Kristina Hansson
- Department of Clinical Sciences, Logopedics, Phoniatrics and Audiology, Lund University, Lund, Sweden
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18
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den Hoed J, Fisher SE. Genetic pathways involved in human speech disorders. Curr Opin Genet Dev 2020; 65:103-111. [PMID: 32622339 DOI: 10.1016/j.gde.2020.05.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Revised: 05/08/2020] [Accepted: 05/08/2020] [Indexed: 12/12/2022]
Abstract
Rare genetic variants that disrupt speech development provide entry points for deciphering the neurobiological foundations of key human capacities. The value of this approach is illustrated by FOXP2, a transcription factor gene that was implicated in speech apraxia, and subsequently investigated using human cell-based systems and animal models. Advances in next-generation sequencing, coupled to de novo paradigms, facilitated discovery of etiological variants in additional genes in speech disorder cohorts. As for other neurodevelopmental syndromes, gene-driven studies show blurring of boundaries between diagnostic categories, with some risk genes shared across speech disorders, intellectual disability and autism. Convergent evidence hints at involvement of regulatory genes co-expressed in early human brain development, suggesting that etiological pathways could be amenable for investigation in emerging neural models such as cerebral organoids.
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Affiliation(s)
- Joery den Hoed
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, The Netherlands; International Max Planck Research School for Language Sciences, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, The Netherlands
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 EN Nijmegen, The Netherlands.
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19
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The Association of Dyslexia and Developmental Speech and Language Disorder Candidate Genes with Reading and Language Abilities in Adults. Twin Res Hum Genet 2020; 23:23-32. [PMID: 32248883 DOI: 10.1017/thg.2020.7] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Reading and language abilities are critical for educational achievement and success in adulthood. Variation in these traits is highly heritable, but the underlying genetic architecture is largely undiscovered. Genetic studies of reading and language skills traditionally focus on children with developmental disorders; however, much larger unselected adult samples are available, increasing power to identify associations with specific genetic variants of small effect size. We introduce an Australian adult population cohort (41.7-73.2 years of age, N = 1505) in which we obtained data using validated measures of several aspects of reading and language abilities. We performed genetic association analysis for a reading and spelling composite score, nonword reading (assessing phonological processing: a core component in learning to read), phonetic spelling, self-reported reading impairment and nonword repetition (a marker of language ability). Given the limited power in a sample of this size (~80% power to find a minimum effect size of 0.005), we focused on analyzing candidate genes that have been associated with dyslexia and developmental speech and language disorders in prior studies. In gene-based tests, FOXP2, a gene implicated in speech/language disorders, was associated with nonword repetition (p < .001), phonetic spelling (p = .002) and the reading and spelling composite score (p < .001). Gene-set analyses of candidate dyslexia and speech/language disorder genes were not significant. These findings contribute to the assessment of genetic associations in reading and language disorders, crucial for understanding their etiology and informing intervention strategies, and validate the approach of using unselected adult samples for gene discovery in language and reading.
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20
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Ladányi E, Persici V, Fiveash A, Tillmann B, Gordon RL. Is atypical rhythm a risk factor for developmental speech and language disorders? WILEY INTERDISCIPLINARY REVIEWS. COGNITIVE SCIENCE 2020; 11:e1528. [PMID: 32244259 PMCID: PMC7415602 DOI: 10.1002/wcs.1528] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 03/07/2020] [Accepted: 03/09/2020] [Indexed: 01/07/2023]
Abstract
Although a growing literature points to substantial variation in speech/language abilities related to individual differences in musical abilities, mainstream models of communication sciences and disorders have not yet incorporated these individual differences into childhood speech/language development. This article reviews three sources of evidence in a comprehensive body of research aligning with three main themes: (a) associations between musical rhythm and speech/language processing, (b) musical rhythm in children with developmental speech/language disorders and common comorbid attentional and motor disorders, and (c) individual differences in mechanisms underlying rhythm processing in infants and their relationship with later speech/language development. In light of converging evidence on associations between musical rhythm and speech/language processing, we propose the Atypical Rhythm Risk Hypothesis, which posits that individuals with atypical rhythm are at higher risk for developmental speech/language disorders. The hypothesis is framed within the larger epidemiological literature in which recent methodological advances allow for large-scale testing of shared underlying biology across clinically distinct disorders. A series of predictions for future work testing the Atypical Rhythm Risk Hypothesis are outlined. We suggest that if a significant body of evidence is found to support this hypothesis, we can envision new risk factor models that incorporate atypical rhythm to predict the risk of developing speech/language disorders. Given the high prevalence of speech/language disorders in the population and the negative long-term social and economic consequences of gaps in identifying children at-risk, these new lines of research could potentially positively impact access to early identification and treatment. This article is categorized under: Linguistics > Language in Mind and Brain Neuroscience > Development Linguistics > Language Acquisition.
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Affiliation(s)
- Enikő Ladányi
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Valentina Persici
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Psychology, Università degli Studi di Milano - Bicocca, Milan, Italy.,Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee, USA
| | - Anna Fiveash
- Lyon Neuroscience Research Center, Auditory Cognition and Psychoacoustics Team, CRNL, INSERM, University of Lyon 1, U1028, CNRS, UMR5292, Lyon, France
| | - Barbara Tillmann
- Lyon Neuroscience Research Center, Auditory Cognition and Psychoacoustics Team, CRNL, INSERM, University of Lyon 1, U1028, CNRS, UMR5292, Lyon, France
| | - Reyna L Gordon
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee, USA.,Vanderbilt Genetics Institute, Vanderbilt University, Nashville, Tennessee, USA.,Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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21
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Kosubek-Langer J, Scharff C. Dynamic FoxP2 levels in male zebra finches are linked to morphology of adult-born Area X medium spiny neurons. Sci Rep 2020; 10:4787. [PMID: 32179863 PMCID: PMC7075913 DOI: 10.1038/s41598-020-61740-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Accepted: 02/29/2020] [Indexed: 12/26/2022] Open
Abstract
The transcription factor FOXP2 is crucial for the formation and function of cortico-striatal circuits. FOXP2 mutations are associated with specific speech and language impairments. In songbirds, experimentally altered FoxP2 expression levels in the striatal song nucleus Area X impair vocal learning and song production. Overall FoxP2 protein levels in Area X are low in adult zebra finches and decrease further with singing. However, some Area X medium spiny neurons (MSNs) express FoxP2 at high levels (FoxP2high MSNs) and singing does not change this. Because Area X receives many new neurons throughout adulthood, we hypothesized that the FoxP2high MSNs are newly recruited neurons, not yet integrated into the local Area X circuitry and thus not active during singing. Contrary to our expectation, FoxP2 protein levels did not predict whether new MSNs were active during singing, assayed via immediate early gene expression. However, new FoxP2high MSNs had more complex dendrites, higher spine density and more mushroom spines than new FoxP2low MSNs. In addition, FoxP2 expression levels correlated positively with nucleus size of new MSNs. Together, our data suggest that dynamic FoxP2 levels in new MSNs shape their morphology during maturation and their incorporation into a neural circuit that enables the maintenance and social modulation of adult birdsong.
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Affiliation(s)
- Jennifer Kosubek-Langer
- Department of Animal Behavior, Institute of Biology, Freie Universität Berlin, Berlin, Germany.
| | - Constance Scharff
- Department of Animal Behavior, Institute of Biology, Freie Universität Berlin, Berlin, Germany
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22
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Hitchcock TJ, Paracchini S, Gardner A. Genomic Imprinting As a Window into Human Language Evolution. Bioessays 2020; 41:e1800212. [PMID: 31132171 DOI: 10.1002/bies.201800212] [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: 10/19/2018] [Revised: 03/22/2019] [Indexed: 01/20/2023]
Abstract
Humans spend large portions of their time and energy talking to one another, yet it remains unclear whether this activity is primarily selfish or altruistic. Here, it is shown how parent-of-origin specific gene expression-or "genomic imprinting"-may provide an answer to this question. First, it is shown why, regarding language, only altruistic or selfish scenarios are expected. Second, it is pointed out that an individual's maternal-origin and paternal-origin genes may have different evolutionary interests regarding investment into language, and that this intragenomic conflict may drive genomic imprinting which-as the direction of imprint depends upon whether investment into language is relatively selfish or altruistic-may be used to discriminate between these two possibilities. Third, predictions concerning the impact of various mutations and epimutations at imprinted loci on language pathologies are derived. In doing so, a framework is developed that highlights avenues for using intragenomic conflicts to investigate the evolutionary drivers of language.
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Affiliation(s)
- Thomas J Hitchcock
- School of Biology, University of St Andrews, Dyers Brae, St Andrews, KY16 9TH, UK
| | - Silvia Paracchini
- School of Medicine, University of St Andrews, North Haugh, St Andrews, KY16 9TF, UK
| | - Andy Gardner
- School of Biology, University of St Andrews, Dyers Brae, St Andrews, KY16 9TH, UK
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23
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Abstract
PURPOSE OF REVIEW To better understand the shared basis of language and mental health, this review examines the behavioral and neurobiological features of aberrant language in five major neuropsychiatric conditions. Special attention is paid to genes implicated in both language and neuropsychiatric disorders, as they reveal biological domains likely to underpin the processes controlling both. RECENT FINDINGS Abnormal language and communication are common manifestations of neuropsychiatric conditions, and children with impaired language are more likely to develop psychiatric disorders than their peers. Major themes in the genetics of both language and psychiatry include master transcriptional regulators, like FOXP2; key developmental regulators, like AUTS2; and mediators of neurotransmission, like GRIN2A and CACNA1C.
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24
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Kong XZ, Tzourio-Mazoyer N, Joliot M, Fedorenko E, Liu J, Fisher SE, Francks C. Gene Expression Correlates of the Cortical Network Underlying Sentence Processing. NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.) 2020; 1:77-103. [PMID: 36794006 PMCID: PMC9923707 DOI: 10.1162/nol_a_00004] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 12/19/2019] [Indexed: 04/16/2023]
Abstract
A pivotal question in modern neuroscience is which genes regulate brain circuits that underlie cognitive functions. However, the field is still in its infancy. Here we report an integrated investigation of the high-level language network (i.e., sentence-processing network) in the human cerebral cortex, combining regional gene expression profiles, task fMRI, large-scale neuroimaging meta-analysis, and resting-state functional network approaches. We revealed reliable gene expression-functional network correlations using three different network definition strategies, and identified a consensus set of genes related to connectivity within the sentence-processing network. The genes involved showed enrichment for neural development and actin-related functions, as well as association signals with autism, which can involve disrupted language functioning. Our findings help elucidate the molecular basis of the brain's infrastructure for language. The integrative approach described here will be useful for studying other complex cognitive traits.
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Affiliation(s)
| | - Nathalie Tzourio-Mazoyer
- University of Bordeaux, GIN, IMN, UMR 5293, Bordeaux, France
- CNRS, GIN, IMN, UMR 5293, Bordeaux, France
- CEA, GIN, IMN, UMR 5293, Bordeaux, France
| | - Marc Joliot
- University of Bordeaux, GIN, IMN, UMR 5293, Bordeaux, France
- CNRS, GIN, IMN, UMR 5293, Bordeaux, France
- CEA, GIN, IMN, UMR 5293, Bordeaux, France
| | - Evelina Fedorenko
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, MIT, Cambridge, MA, 02139, USA
| | - Jia Liu
- Faculty of Psychology, Beijing Normal University, Beijing 100875, China
| | - Simon E. Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
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25
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Rakhlin N, Landi N, Lee M, Magnuson JS, Naumova OY, Ovchinnikova IV, Grigorenko EL. Cohesion of Cortical Language Networks During Word Processing Is Predicted by a Common Polymorphism in the
SETBP1
Gene. New Dir Child Adolesc Dev 2020; 2020:131-155. [DOI: 10.1002/cad.20331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
| | | | | | | | | | | | - Elena L. Grigorenko
- Haskins Laboratories
- Yale University
- University of Houston
- Saint-Petersburg State University
- Moscow State University for Psychology and Education
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26
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Uddén J, Hultén A, Bendtz K, Mineroff Z, Kucera KS, Vino A, Fedorenko E, Hagoort P, Fisher SE. Toward Robust Functional Neuroimaging Genetics of Cognition. J Neurosci 2019; 39:8778-8787. [PMID: 31570534 PMCID: PMC6820208 DOI: 10.1523/jneurosci.0888-19.2019] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 08/21/2019] [Accepted: 09/04/2019] [Indexed: 12/15/2022] Open
Abstract
A commonly held assumption in cognitive neuroscience is that, because measures of human brain function are closer to underlying biology than distal indices of behavior/cognition, they hold more promise for uncovering genetic pathways. Supporting this view is an influential fMRI-based study of sentence reading/listening by Pinel et al. (2012), who reported that common DNA variants in specific candidate genes were associated with altered neural activation in language-related regions of healthy individuals that carried them. In particular, different single-nucleotide polymorphisms (SNPs) of FOXP2 correlated with variation in task-based activation in left inferior frontal and precentral gyri, whereas a SNP at the KIAA0319/TTRAP/THEM2 locus was associated with variable functional asymmetry of the superior temporal sulcus. Here, we directly test each claim using a closely matched neuroimaging genetics approach in independent cohorts comprising 427 participants, four times larger than the original study of 94 participants. Despite demonstrating power to detect associations with substantially smaller effect sizes than those of the original report, we do not replicate any of the reported associations. Moreover, formal Bayesian analyses reveal substantial to strong evidence in support of the null hypothesis (no effect). We highlight key aspects of the original investigation, common to functional neuroimaging genetics studies, which could have yielded elevated false-positive rates. Genetic accounts of individual differences in cognitive functional neuroimaging are likely to be as complex as behavioral/cognitive tests, involving many common genetic variants, each of tiny effect. Reliable identification of true biological signals requires large sample sizes, power calculations, and validation in independent cohorts with equivalent paradigms.SIGNIFICANCE STATEMENT A pervasive idea in neuroscience is that neuroimaging-based measures of brain function, being closer to underlying neurobiology, are more amenable for uncovering links to genetics. This is a core assumption of prominent studies that associate common DNA variants with altered activations in task-based fMRI, despite using samples (10-100 people) that lack power for detecting the tiny effect sizes typical of genetically complex traits. Here, we test central findings from one of the most influential prior studies. Using matching paradigms and substantially larger samples, coupled to power calculations and formal Bayesian statistics, our data strongly refute the original findings. We demonstrate that neuroimaging genetics with task-based fMRI should be subject to the same rigorous standards as studies of other complex traits.
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Affiliation(s)
- Julia Uddén
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands, 6525 XD,
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands, 6500 HE
- Department of Linguistics
- Department of Psychology, Stockholm University, Sweden, SE-106 91
| | - Annika Hultén
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands, 6525 XD
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands, 6500 HE
| | - Katarina Bendtz
- Department of Psychology, Stockholm University, Sweden, SE-106 91
| | - Zachary Mineroff
- Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, Massachusetts, MA 02139-4307
| | - Katerina S Kucera
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands, 6525 XD
| | - Arianna Vino
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands, 6525 XD
| | - Evelina Fedorenko
- Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, Massachusetts, MA 02139-4307
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, MA 02139, and
- Psychiatry Department, Massachusetts General Hospital, Charlestown, Massachusetts MA 02144
| | - Peter Hagoort
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands, 6525 XD
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands, 6500 HE
| | - Simon E Fisher
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands, 6525 XD,
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands, 6500 HE
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27
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Corticobasal ganglia projecting neurons are required for juvenile vocal learning but not for adult vocal plasticity in songbirds. Proc Natl Acad Sci U S A 2019; 116:22833-22843. [PMID: 31636217 DOI: 10.1073/pnas.1913575116] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Birdsong, like human speech, consists of a sequence of temporally precise movements acquired through vocal learning. The learning of such sequential vocalizations depends on the neural function of the motor cortex and basal ganglia. However, it is unknown how the connections between cortical and basal ganglia components contribute to vocal motor skill learning, as mammalian motor cortices serve multiple types of motor action and most experimentally tractable animals do not exhibit vocal learning. Here, we leveraged the zebra finch, a songbird, as an animal model to explore the function of the connectivity between cortex-like (HVC) and basal ganglia (area X), connected by HVC(X) projection neurons with temporally precise firing during singing. By specifically ablating HVC(X) neurons, juvenile zebra finches failed to copy tutored syllable acoustics and developed temporally unstable songs with less sequence consistency. In contrast, HVC(X)-ablated adults did not alter their learned song structure, but generated acoustic fluctuations and responded to auditory feedback disruption by the introduction of song deterioration, as did normal adults. These results indicate that the corticobasal ganglia input is important for learning the acoustic and temporal aspects of song structure, but not for generating vocal fluctuations that contribute to the maintenance of an already learned vocal pattern.
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28
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Schreiweis C, Irinopoulou T, Vieth B, Laddada L, Oury F, Burguière E, Enard W, Groszer M. Mice carrying a humanized Foxp2 knock-in allele show region-specific shifts of striatal Foxp2 expression levels. Cortex 2019; 118:212-222. [DOI: 10.1016/j.cortex.2019.01.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Revised: 11/07/2018] [Accepted: 01/08/2019] [Indexed: 12/31/2022]
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29
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Snijders Blok L, Kleefstra T, Venselaar H, Maas S, Kroes HY, Lachmeijer AMA, van Gassen KLI, Firth HV, Tomkins S, Bodek S, Õunap K, Wojcik MH, Cunniff C, Bergstrom K, Powis Z, Tang S, Shinde DN, Au C, Iglesias AD, Izumi K, Leonard J, Abou Tayoun A, Baker SW, Tartaglia M, Niceta M, Dentici ML, Okamoto N, Miyake N, Matsumoto N, Vitobello A, Faivre L, Philippe C, Gilissen C, Wiel L, Pfundt R, Deriziotis P, Brunner HG, Fisher SE. De Novo Variants Disturbing the Transactivation Capacity of POU3F3 Cause a Characteristic Neurodevelopmental Disorder. Am J Hum Genet 2019; 105:403-412. [PMID: 31303265 PMCID: PMC6698880 DOI: 10.1016/j.ajhg.2019.06.007] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Accepted: 06/07/2019] [Indexed: 01/22/2023] Open
Abstract
POU3F3, also referred to as Brain-1, is a well-known transcription factor involved in the development of the central nervous system, but it has not previously been associated with a neurodevelopmental disorder. Here, we report the identification of 19 individuals with heterozygous POU3F3 disruptions, most of which are de novo variants. All individuals had developmental delays and/or intellectual disability and impairments in speech and language skills. Thirteen individuals had characteristic low-set, prominent, and/or cupped ears. Brain abnormalities were observed in seven of eleven MRI reports. POU3F3 is an intronless gene, insensitive to nonsense-mediated decay, and 13 individuals carried protein-truncating variants. All truncating variants that we tested in cellular models led to aberrant subcellular localization of the encoded protein. Luciferase assays demonstrated negative effects of these alleles on transcriptional activation of a reporter with a FOXP2-derived binding motif. In addition to the loss-of-function variants, five individuals had missense variants that clustered at specific positions within the functional domains, and one small in-frame deletion was identified. Two missense variants showed reduced transactivation capacity in our assays, whereas one variant displayed gain-of-function effects, suggesting a distinct pathophysiological mechanism. In bioluminescence resonance energy transfer (BRET) interaction assays, all the truncated POU3F3 versions that we tested had significantly impaired dimerization capacities, whereas all missense variants showed unaffected dimerization with wild-type POU3F3. Taken together, our identification and functional cell-based analyses of pathogenic variants in POU3F3, coupled with a clinical characterization, implicate disruptions of this gene in a characteristic neurodevelopmental disorder.
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Affiliation(s)
- Lot Snijders Blok
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands; Language and Genetics Department, Max Planck Institute for Psycholinguistics, PO Box 310, 6500AH Nijmegen, the Netherlands; Donders Institute for Brain, Cognition, and Behaviour, PO Box 9104, 6500HE Nijmegen, the Netherlands.
| | - Tjitske Kleefstra
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands; Donders Institute for Brain, Cognition, and Behaviour, PO Box 9104, 6500HE Nijmegen, the Netherlands
| | - Hanka Venselaar
- Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands
| | - Saskia Maas
- Amsterdam University Medical Center, University of Amsterdam, Department of Clinical Genetics, Meibergdreef 9, 1105AZ Amsterdam, the Netherlands
| | - Hester Y Kroes
- Department of Genetics, University Medical Center Utrecht, PO Box 85090, 3508AB Utrecht, the Netherlands
| | - Augusta M A Lachmeijer
- Department of Genetics, University Medical Center Utrecht, PO Box 85090, 3508AB Utrecht, the Netherlands
| | - Koen L I van Gassen
- Department of Genetics, University Medical Center Utrecht, PO Box 85090, 3508AB Utrecht, the Netherlands
| | - Helen V Firth
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Susan Tomkins
- Clinical Genetics Service, University Hospitals Bristol National Health Service Foundation Trust, Bristol BS2 8HW, UK
| | - Simon Bodek
- Clinical Genetics Service, University Hospitals Bristol National Health Service Foundation Trust, Bristol BS2 8HW, UK
| | - Katrin Õunap
- Department of Clinical Genetics, United Laboratories, Tartu University Hospital and Institute of Clinical Medicine, University of Tartu, Tartu 51014, Estonia; Institute of Clinical Medicine, University of Tartu, Tartu 51014, Estonia
| | - Monica H Wojcik
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Newborn Medicine, Division of Genetics, Boston Children's Hospital, Boston, MA 02115, USA
| | - Christopher Cunniff
- Division of Medical Genetics, Department of Pediatrics, Weill Cornell Medicine, New York, NY 10021, USA
| | - Katherine Bergstrom
- Division of Medical Genetics, Department of Pediatrics, Weill Cornell Medicine, New York, NY 10021, USA
| | - Zoë Powis
- Clinical Genomics, Ambry Genetics, Aliso Viejo, CA 92656, USA
| | - Sha Tang
- Clinical Genomics, Ambry Genetics, Aliso Viejo, CA 92656, USA
| | | | - Catherine Au
- Division of Clinical Genetics, Department of Pediatrics, New York Presbyterian Hospital, Columbia University, New York, NY 10032, USA
| | - Alejandro D Iglesias
- Division of Clinical Genetics, Department of Pediatrics, New York Presbyterian Hospital, Columbia University, New York, NY 10032, USA
| | - Kosuke Izumi
- Division of Human Genetics, the Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jacqueline Leonard
- Division of Human Genetics, the Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Ahmad Abou Tayoun
- Division of Genomic Diagnostics, the Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Samuel W Baker
- Division of Genomic Diagnostics, the Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Marco Tartaglia
- Genetics and Rare Diseases Research Division, Bambino Gesù Children Hospital, Istituto di Ricovero e Cura a Carattere Scientifico, 00146 Rome, Italy
| | - Marcello Niceta
- Genetics and Rare Diseases Research Division, Bambino Gesù Children Hospital, Istituto di Ricovero e Cura a Carattere Scientifico, 00146 Rome, Italy
| | - Maria Lisa Dentici
- Genetics and Rare Diseases Research Division, Bambino Gesù Children Hospital, Istituto di Ricovero e Cura a Carattere Scientifico, 00146 Rome, Italy
| | - Nobuhiko Okamoto
- Department of Medical Genetics, Osaka Women's and Children's Hospital, 840 Murodo-cho, Izumi, Osaka 594-1101, Japan
| | - Noriko Miyake
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Naomichi Matsumoto
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Antonio Vitobello
- UF Innovation en Diagnostic Génomique des Maladies Rares, Centre Hospitalier Universitaire Dijon Bourgogne, 21000 Dijon, France; INSERM UMR1231 Génétique des Anomalies du Développement, F-21000 Dijon, France
| | - Laurence Faivre
- INSERM UMR1231 Génétique des Anomalies du Développement, F-21000 Dijon, France; Centre de Référence Maladies Rares « Anomalies du Développement et Syndrome Malformatifs » de l'Est, Centre de Génétique, Hôpital d'Enfants, Fédération Hospitalo-Universitaire Médecine TRANSLationnelle et Anomalies du Développement, Centre Hospitalier Universitaire Dijon Bourgogne, 21000 Dijon, France
| | - Christophe Philippe
- UF Innovation en Diagnostic Génomique des Maladies Rares, Centre Hospitalier Universitaire Dijon Bourgogne, 21000 Dijon, France; INSERM UMR1231 Génétique des Anomalies du Développement, F-21000 Dijon, France
| | - Christian Gilissen
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands
| | - Laurens Wiel
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands; Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands
| | - Rolph Pfundt
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands
| | - Pelagia Deriziotis
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, PO Box 310, 6500AH Nijmegen, the Netherlands
| | - Han G Brunner
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500HB Nijmegen, the Netherlands; Donders Institute for Brain, Cognition, and Behaviour, PO Box 9104, 6500HE Nijmegen, the Netherlands; Department of Clinical Genetics and GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202AZ Maastricht, the Netherlands
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, PO Box 310, 6500AH Nijmegen, the Netherlands; Donders Institute for Brain, Cognition, and Behaviour, PO Box 9104, 6500HE Nijmegen, the Netherlands.
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Mountford HS, Villanueva P, Fernández MA, Barbieri ZD, Cazier JB, Newbury DF. Candidate gene variant effects on language disorders in Robinson Crusoe Island. Ann Hum Biol 2019; 46:109-119. [DOI: 10.1080/03014460.2019.1622776] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Hayley S. Mountford
- Department of Biological and Medical Sciences, Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, UK
| | - Pía Villanueva
- Department of Speech Language and Hearing Sciences, Faculty of Medicine, University of Chile, Santiago, Chile
- Institute of Biomedical Sciences, Human Genetics Division, Faculty of Medicine, University of Chile, Santiago, Chile
| | - María Angélica Fernández
- Department of Speech Language and Hearing Sciences, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Zulema De Barbieri
- Department of Speech Language and Hearing Sciences, Faculty of Medicine, University of Chile, Santiago, Chile
| | | | - Dianne F. Newbury
- Department of Biological and Medical Sciences, Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, UK
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Peter B, Dougherty MJ, Reed EK, Edelman E, Hanson K. Perceived Gaps in Genetics Training Among Audiologists and Speech-Language Pathologists: Lessons From a National Survey. AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY 2019; 28:408-423. [PMID: 31091132 DOI: 10.1044/2018_ajslp-18-0069] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Purpose The aim of this study was to assess knowledge, self-rated confidence, and perceived relevance of genetics in the clinical practice of audiologists and speech-language pathologists (SLPs) toward a better understanding of the need for genetics education, given that genetics plays a growing role in the diagnosis of hearing impairment and communication disorders. Method A survey consisting of 8 demographic items and 16 content questions was returned by 233 audiologists and 283 SLPs. Knowledge of applied genetics was queried with clinical scenarios in a multiple-choice format. Self-assessment of clinical confidence and perceived relevance of genetics in one's field was queried with questions and statements rated on 5-point Likert scales. The benefit of additional training in genetics was rated with a yes/no question, and if answered with yes, suggested topics were entered. Results A large significant gap between confidence in one's own genetics skills and the perceived relevance of genetics was evident, regardless of professional group. Over one third of the audiologists and over two thirds of the SLPs indicated low or somewhat low confidence in their own ability to implement principles of genetics, whereas over two thirds of both groups agreed that genetics is relevant for their field. Regardless of group, confidence scores were significantly and positively associated with relevance scores. Over 80% of respondents in both groups indicated that they would benefit from additional training in genetics. Most commonly suggested topics included genetic causes, general information about genetics, and making referrals. Conclusion Both audiologists and SLPs felt that genetics is relevant for their fields and that additional training in genetics would be beneficial. Future studies should evaluate the effect of genetics training on patient outcomes and the need for incorporating genetics more extensively into audiology and speech-language pathology training programs.
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Affiliation(s)
- Beate Peter
- Department of Speech and Hearing Science, Arizona State University, Tempe
- Department of Communication Sciences and Disorders, Saint Louis University, MO
| | - Michael J Dougherty
- American Society of Human Genetics, Bethesda, MD
- Department of Pediatrics, University of Colorado School of Medicine, Aurora
| | | | | | - Karen Hanson
- American Society of Human Genetics, Bethesda, MD
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Shriberg LD, Kwiatkowski J, Mabie HL. Estimates of the prevalence of motor speech disorders in children with idiopathic speech delay. CLINICAL LINGUISTICS & PHONETICS 2019; 33:679-706. [PMID: 30987467 PMCID: PMC6633906 DOI: 10.1080/02699206.2019.1595731] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 03/12/2019] [Accepted: 03/12/2019] [Indexed: 05/22/2023]
Abstract
The goal of this research was to obtain initial estimates of the prevalence of each of four types of motor speech disorders in children with idiopathic Speech Delay (SD) and to use findings to estimate the population-based prevalence of each disorder. Analyses were completed on audio-recorded conversational speech samples from 415 children recruited for research in idiopathic SD in six USA cities during the past three decades. The speech and motor speech status of each participant was cross-classified using standardized measures in the finalized version of the Speech Disorders Classification System described in the Supplement. Population-based prevalence estimates for the four motor speech disorders were calculated from epidemiological studies of SD conducted in Australia, England, and the USA. A total of 82.2% of the 415 participants with SD met criteria for No Motor Speech Disorder at assessment, 12% met criteria for Speech Motor Delay, 3.4% met criteria for Childhood Dysarthria, 2.4% met criteria for Childhood Apraxia of Speech, and 0% met criteria for concurrent Childhood Dysarthria and Childhood Apraxia of Speech. The estimated population-based prevalence of each of the first three motor speech disorders at 4 to 8 years of age were Speech Motor Delay: 4 children per 1,000; Childhood Dysarthria: 1 child per 1,000; and Childhood Apraxia of Speech: 1 child per 1,000. The latter finding cross-validates a prior prevalence estimate for Childhood Apraxia of Speech of 1-2 children per 1,000. Findings are interpreted to indicate a substantial prevalence of motor speech disorders in children with idiopathic SD. Abbreviations: CAS, childhood apraxia of speech; CD, childhood dysarthria; CND, complex neurodevelopmental disorders; DI, dysarthria index; DSI, dysarthria subtype indices; MSD, motor speech disorder; No MSD, no motor speech disorder; NSA, normal(ized) speech acquisition; PEPPER, programs to examine phonetic and phonologic evaluation records; PM, pause marker; PMI, pause marker index; PSD, persistent speech delay; PSE, persistent speech errors; SD, speech delay; SDCS, speech disorders classification system; SDCSS, speech disorders classification system summary; SE, speech errors; SMD, speech motor delay.
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Affiliation(s)
- Lawrence D Shriberg
- a Intellectual and Developmental Disabilities Research Center, Waisman Center , University of Wisconsin-Madison , Madison , WI . USA
| | - Joan Kwiatkowski
- a Intellectual and Developmental Disabilities Research Center, Waisman Center , University of Wisconsin-Madison , Madison , WI . USA
| | - Heather L Mabie
- a Intellectual and Developmental Disabilities Research Center, Waisman Center , University of Wisconsin-Madison , Madison , WI . USA
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Benítez-Burraco A, Moran S. Editorial: The Adaptive Value of Languages: Non-linguistic Causes of Language Diversity. Front Psychol 2018; 9:1827. [PMID: 30323782 PMCID: PMC6172450 DOI: 10.3389/fpsyg.2018.01827] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 09/07/2018] [Indexed: 11/30/2022] Open
Affiliation(s)
- Antonio Benítez-Burraco
- Department of Spanish, Linguistics, and Theory of Literature, University of Seville, Seville, Spain
| | - Steven Moran
- Department of Comparative Linguistics, University of Zurich, Zürich, Switzerland
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Altered Auditory Processing, Filtering, and Reactivity in the Cntnap2 Knock-Out Rat Model for Neurodevelopmental Disorders. J Neurosci 2018; 38:8588-8604. [PMID: 30126973 DOI: 10.1523/jneurosci.0759-18.2018] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Revised: 08/13/2018] [Accepted: 08/14/2018] [Indexed: 12/21/2022] Open
Abstract
Sensory processing, and auditory processing in particular, is altered in individuals with neurodevelopmental disorders such as autism spectrum disorders (ASDs). The typical maturation of the auditory system is perturbed in these individuals during early development, which may underlie altered auditory reactivity that persists in later life. Of the many genes that regulate the auditory system development, loss-of-function mutations in the CNTNAP2 gene are strongly associated with language processing deficits and ASD. Therefore, using a novel Cntnap2 knock-out rat model, we tested the impact of Cntnap2 loss on auditory processing, filtering, and reactivity throughout development and young adulthood in male and female animals. Although hearing thresholds were not altered in Cntnap2 knock-out animals, we found a reduction in response amplitudes and a delay in response latency of the auditory brainstem response (ABR) in juvenile Cntnap2 knock-out rats compared with age-matched controls. Amplitudes and latency of the ABR largely normalized by adulthood, indicating a delayed maturation of auditory processing pathways in Cntnap2 knock-out rats. Despite the reduced ABR amplitudes, adolescent Cntnap2 knock-out animals displayed increased startle reactivity accompanied by disruptions in sensory filtering and sensorimotor gating across various conditions, most of which persisted in adulthood. All of these observations show striking parallels to disruptions reported in ASD. Our results also imply that developmental disruptions of sensory signal processing are associated with persistent changes in neural circuitries responsible for implicit auditory evoked behavior, emphasizing the need for interventions that target sensory processing disruptions early during development in ASD.SIGNIFICANCE STATEMENT This is the first study of brainstem auditory processing in a novel knock-out rat model with very high construct and face validity for autism spectrum disorders. Electrophysiological and behavioral measures of implicit auditory-evoked responses were systematically taken across developmental stages. Auditory processing, filtering, and reactivity disruptions show striking similarities to observations in autism. We also show for the first time that, whereas auditory brainstem responses normalize by adulthood, disruptions in brainstem-mediated auditory-evoked behavior persist. This indicates that early developmental perturbations in sensory processing can cause permanent maladaptive changes in circuitries responsible for auditory reactivity, underlining the importance for interventions early during development aiming at normalizing sensory processing.
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Foxp2 regulates anatomical features that may be relevant for vocal behaviors and bipedal locomotion. Proc Natl Acad Sci U S A 2018; 115:8799-8804. [PMID: 30104377 DOI: 10.1073/pnas.1721820115] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Fundamental human traits, such as language and bipedalism, are associated with a range of anatomical adaptations in craniofacial shaping and skeletal remodeling. However, it is unclear how such morphological features arose during hominin evolution. FOXP2 is a brain-expressed transcription factor implicated in a rare disorder involving speech apraxia and language impairments. Analysis of its evolutionary history suggests that this gene may have contributed to the emergence of proficient spoken language. In the present study, through analyses of skeleton-specific knockout mice, we identified roles of Foxp2 in skull shaping and bone remodeling. Selective ablation of Foxp2 in cartilage disrupted pup vocalizations in a similar way to that of global Foxp2 mutants, which may be due to pleiotropic effects on craniofacial morphogenesis. Our findings also indicate that Foxp2 helps to regulate strength and length of hind limbs and maintenance of joint cartilage and intervertebral discs, which are all anatomical features that are susceptible to adaptations for bipedal locomotion. In light of the known roles of Foxp2 in brain circuits that are important for motor skills and spoken language, we suggest that this gene may have been well placed to contribute to coevolution of neural and anatomical adaptations related to speech and bipedal locomotion.
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Franklin AM, Giacheti CM, Silva NCD, Campos LMG, Pinato L. Correlation between sleep profile and behavior in individuals with specific learning disorder. Codas 2018; 30:e20170104. [PMID: 29972444 DOI: 10.1590/2317-1782/20182017104] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Accepted: 12/04/2017] [Indexed: 11/21/2022] Open
Abstract
PURPOSE This study aimed to correlate sleep profile and behavior in individuals with Specific Learning Disorder (SLD). METHODS The Sleep General Habits Questionnaire, Sleep Diary, and Sleep Disturbance Scale for Children (SDSC) were used in analysis of sleep, whereas the Child Behavior Checklist (CBCL) inventory was used in analysis of behavior. RESULTS 65.5% of the individuals with SLD presented symptoms of sleep disorders, most frequently wakefulness-sleep transition and sleep disturbance total score, which showed values higher than acceptable. In addition, individuals with SLD presented higher sleep latency than those with typical development. Concerning behavior, 72.4% of the individuals with SLD presented clinical condition of behavior problems. In the control group, none of the participants showed symptoms of sleep or behavior problems. In the SLD group, correlation was observed between behavioral problems and sleep disturbance. CONCLUSION Individuals with SLD showed high rates of sleep disturbance and behavioral problems. The worse the sleep disturbance, the worse the behavioral aspects in these individuals.
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Affiliation(s)
- Amanda Maião Franklin
- Faculdade de Filosofia e Ciências, Universidade Estadual Paulista - UNESP - Marília (SP), Brasil
| | - Célia Maria Giacheti
- Faculdade de Filosofia e Ciências, Universidade Estadual Paulista - UNESP - Marília (SP), Brasil
| | | | | | - Luciana Pinato
- Faculdade de Filosofia e Ciências, Universidade Estadual Paulista - UNESP - Marília (SP), Brasil
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Kalnak N, Stamouli S, Peyrard-Janvid M, Rabkina I, Becker M, Klingberg T, Kere J, Forssberg H, Tammimies K. Enrichment of rare copy number variation in children with developmental language disorder. Clin Genet 2018; 94:313-320. [PMID: 29851021 DOI: 10.1111/cge.13389] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 05/23/2018] [Accepted: 05/27/2018] [Indexed: 02/04/2023]
Abstract
Developmental language disorder (DLD) is a common neurodevelopmental disorder with largely unknown etiology. Rare copy number variants (CNVs) have been implicated in the genetic architecture of other neurodevelopmental disorders (NDDs), which have led to clinical genetic testing recommendations for these disorders; however, the evidence is still lacking for DLD. We analyzed rare and de novo CNVs in 58 probands with severe DLD, their 159 family members and 76 Swedish typically developing children using high-resolution microarray. DLD probands had larger rare CNVs as measured by total length (P = .05), and average length (P = .04). In addition, the rate of rare CNVs overlapping coding genes was increased (P = .03 and P = .01) and in average more genes were affected (P = .006 and P = .03) in the probands and their siblings, respectively. De novo CNVs were found in 4.8% DLD probands (2/42) and 2.4% (1/42) siblings. Clinically significant CNVs or chromosomal anomalies were found in 6.9% (4/58) of the probands of which 2 carried 16p11.2 deletions. We provide further evidence that rare CNVs contribute to the etiology of DLD in loci that overlap with other NDDs. Based on our results and earlier literature, families with DLD should be offered molecular genetic testing as a routine in their clinical follow-up.
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Affiliation(s)
- N Kalnak
- Department of Women and Children's Health, Neuropediatric Unit, Karolinska Institutet, Astrid Lindgren Children's Hospital, Solna, Sweden.,Department of Clinical Sciences Lund, Child, and Adolescent Psychiatry Unit, Faculty of Medicine, Lund University, Lund, Sweden
| | - S Stamouli
- Department of Women and Children's Health, Center of Neurodevelopmental Disorders, Karolinska Institutet, Sweden and Centre for Psychiatry Research, Stockholm County Council, Stockholm, Sweden
| | - M Peyrard-Janvid
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
| | - I Rabkina
- Department of Women and Children's Health, Center of Neurodevelopmental Disorders, Karolinska Institutet, Sweden and Centre for Psychiatry Research, Stockholm County Council, Stockholm, Sweden
| | - M Becker
- Department of Women and Children's Health, Center of Neurodevelopmental Disorders, Karolinska Institutet, Sweden and Centre for Psychiatry Research, Stockholm County Council, Stockholm, Sweden
| | - T Klingberg
- Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden
| | - J Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.,School of Basic and Medical Biosciences, King's College London, London, UK.,Molecular Neurology Research Program, University of Helsinki, and Folkhälsan Institute of Genetics, Helsinki, Finland
| | - H Forssberg
- Department of Women and Children's Health, Neuropediatric Unit, Karolinska Institutet, Astrid Lindgren Children's Hospital, Solna, Sweden
| | - K Tammimies
- Department of Women and Children's Health, Center of Neurodevelopmental Disorders, Karolinska Institutet, Sweden and Centre for Psychiatry Research, Stockholm County Council, Stockholm, Sweden
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Mei C, Fedorenko E, Amor DJ, Boys A, Hoeflin C, Carew P, Burgess T, Fisher SE, Morgan AT. Deep phenotyping of speech and language skills in individuals with 16p11.2 deletion. Eur J Hum Genet 2018; 26:676-686. [PMID: 29445122 PMCID: PMC5945616 DOI: 10.1038/s41431-018-0102-x] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Revised: 10/21/2017] [Accepted: 01/16/2018] [Indexed: 12/12/2022] Open
Abstract
Recurrent deletions of a ~600-kb region of 16p11.2 have been associated with a highly penetrant form of childhood apraxia of speech (CAS). Yet prior findings have been based on a small, potentially biased sample using retrospectively collected data. We examine the prevalence of CAS in a larger cohort of individuals with 16p11.2 deletion using a prospectively designed assessment battery. The broader speech and language phenotype associated with carrying this deletion was also examined. 55 participants with 16p11.2 deletion (47 children, 8 adults) underwent deep phenotyping to test for the presence of CAS and other speech and language diagnoses. Standardized tests of oral motor functioning, speech production, language, and non-verbal IQ were conducted. The majority of children (77%) and half of adults (50%) met criteria for CAS. Other speech outcomes were observed including articulation or phonological errors (i.e., phonetic and cognitive-linguistic errors, respectively), dysarthria (i.e., neuromuscular speech disorder), minimal verbal output, and even typical speech in some. Receptive and expressive language impairment was present in 73% and 70% of children, respectively. Co-occurring neurodevelopmental conditions (e.g., autism) and non-verbal IQ did not correlate with the presence of CAS. Findings indicate that CAS is highly prevalent in children with 16p11.2 deletion with symptoms persisting into adulthood for many. Yet CAS occurs in the context of a broader speech and language profile and other neurobehavioral deficits. Further research will elucidate specific genetic and neural pathways leading to speech and language deficits in individuals with 16p11.2 deletions, resulting in more targeted speech therapies addressing etiological pathways.
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Affiliation(s)
- Cristina Mei
- Murdoch Childrens Research Institute, Melbourne, Australia
| | - Evelina Fedorenko
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - David J Amor
- Murdoch Childrens Research Institute, Melbourne, Australia
- Victorian Clinical Genetics Services, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
| | - Amber Boys
- Murdoch Childrens Research Institute, Melbourne, Australia
- Victorian Clinical Genetics Services, Melbourne, Australia
| | - Caitlyn Hoeflin
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Peter Carew
- Murdoch Childrens Research Institute, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
| | - Trent Burgess
- Murdoch Childrens Research Institute, Melbourne, Australia
- Victorian Clinical Genetics Services, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Angela T Morgan
- Murdoch Childrens Research Institute, Melbourne, Australia.
- The University of Melbourne, Melbourne, Australia.
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