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Liu J, Supekar K, El-Said D, de los Angeles C, Zhang Y, Chang H, Menon V. Neuroanatomical, transcriptomic, and molecular correlates of math ability and their prognostic value for predicting learning outcomes. SCIENCE ADVANCES 2024; 10:eadk7220. [PMID: 38820151 PMCID: PMC11141625 DOI: 10.1126/sciadv.adk7220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 04/29/2024] [Indexed: 06/02/2024]
Abstract
Foundational mathematical abilities, acquired in early childhood, are essential for success in our technology-driven society. Yet, the neurobiological mechanisms underlying individual differences in children's mathematical abilities and learning outcomes remain largely unexplored. Leveraging one of the largest multicohort datasets from children at a pivotal stage of knowledge acquisition, we first establish a replicable mathematical ability-related imaging phenotype (MAIP). We then show that brain gene expression profiles enriched for candidate math ability-related genes, neuronal signaling, synaptic transmission, and voltage-gated potassium channel activity contributed to the MAIP. Furthermore, the similarity between MAIP gene expression signatures and brain structure, acquired before intervention, predicted learning outcomes in two independent math tutoring cohorts. These findings advance our knowledge of the interplay between neuroanatomical, transcriptomic, and molecular mechanisms underlying mathematical ability and reveal predictive biomarkers of learning. Our findings have implications for the development of personalized education and interventions.
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Affiliation(s)
- Jin Liu
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Kaustubh Supekar
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Dawlat El-Said
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Carlo de los Angeles
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Yuan Zhang
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Hyesang Chang
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Vinod Menon
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
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2
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Mascheretti S, Lampis V, Andreola C, Lecce S, Dionne G. Continuity and change of genetic and environmental influences on reading and reading-related neurocognitive skills: A systematic review of longitudinal twin studies. Neurosci Biobehav Rev 2024; 159:105576. [PMID: 38331130 DOI: 10.1016/j.neubiorev.2024.105576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 01/27/2024] [Accepted: 02/03/2024] [Indexed: 02/10/2024]
Abstract
Learning to read is a dynamic and cumulative process beginning from birth and continuing through the school years. Empirical data showed a decrease of additive genetic (A) and shared environmental (C) components and an increase of non-shared environmental (E) components from preschool to middle school. However, our understanding of the aetiology of continuity and change of reading skills across this developmental period is limited. Following the PRISMA guidelines, we reviewed the results of behavioral genetic research on reading-related neurocognitive skills of 13 longitudinal twin and adoptive sibling studies spanning from preschool/kindergarten to middle/high school. Our findings suggested that continuity was mainly explained by A components throughout the study periods, and, although to a lesser extent and less consistently, by C components during the early years; change was explained by new E components throughout the years, and also by new A components in the early years. As we are interested in models relevant to traits with early onset during development, it is crucial to deepen the investigation of how developmental time can moderate the genetic and environmental variation.
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Affiliation(s)
- Sara Mascheretti
- Department of Brain and Behavioral Sciences, University of Pavia, Piazza Botta 6, 27100 Pavia, Italy; Child Psychopathology Unit, Scientific Institute IRCCS Eugenio Medea, via don Luigi Monza 20, 23842 Bosisio Parini, Italy.
| | - Valentina Lampis
- Department of Brain and Behavioral Sciences, University of Pavia, Piazza Botta 6, 27100 Pavia, Italy; Child Psychopathology Unit, Scientific Institute IRCCS Eugenio Medea, via don Luigi Monza 20, 23842 Bosisio Parini, Italy
| | - Chiara Andreola
- Université de Paris, Laboratoire de Psychologie de Développement et de l'Éducation de l'Enfant (LaPsyDÉ), 46 rue Saint Jacques, 75005 Paris, France
| | - Serena Lecce
- Department of Brain and Behavioral Sciences, University of Pavia, Piazza Botta 6, 27100 Pavia, Italy
| | - Ginette Dionne
- École de Psychologie, Université Laval, Pavillon Félix-Antoine-Savard, 2325 rue des Bibliothèques, Quebec City, Quebec G1V 0A6, Canada.
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Bonti E, Zerva IK, Koundourou C, Sofologi M. The High Rates of Comorbidity among Neurodevelopmental Disorders: Reconsidering the Clinical Utility of Distinct Diagnostic Categories. J Pers Med 2024; 14:300. [PMID: 38541042 PMCID: PMC10971064 DOI: 10.3390/jpm14030300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 02/29/2024] [Accepted: 03/04/2024] [Indexed: 05/03/2024] Open
Abstract
The boundaries between neurodevelopmental disorders are often indistinct, even among specialists. But do these boundaries exist, or do experts struggle to distinguish and categorize symptoms in order to arrive at a dominant diagnosis while comorbidity continually leaves questions about where each disorder ends and begins? What should be reconsidered? The introduction of the term 'spectrum of neurodevelopmental disorders' could pave the way for a re-appraisal of the clinical continuum of neurodevelopmental disorders. This study aims to highlight the problems that emerge in the field of the differential diagnosis of neurodevelopmental disorders and propose a renegotiation of the distinctiveness criteria.
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Affiliation(s)
- Eleni Bonti
- First Psychiatric Clinic, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, “Papageorgiou” General Hospital, Pavlos Melas, 564 29 Agios Pavlos, Greece;
- School of Education, Special Education Department, University of Nicosia, Nicosia 2417, Cyprus
| | - Irini K. Zerva
- School of Education, Special Education Department, University of Nicosia, Nicosia 2417, Cyprus
- First Psychiatric Clinic, School of Medicine, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
| | - Christiana Koundourou
- Psychology Department, School of Health Sciences, Neapolis University Pafos, Paphos 8042, Cyprus; (C.K.); (M.S.)
| | - Maria Sofologi
- Psychology Department, School of Health Sciences, Neapolis University Pafos, Paphos 8042, Cyprus; (C.K.); (M.S.)
- Department of Early Childhood Education, Education School, University of Ioannina, 451 10 Ioannina, Greece
- Institute of Humanities and Social Sciences, University Research Center of Ioannina (URCI), 451 10 Ioannina, Greece
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4
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Fantini V, Ferrari RR, Bordoni M, Spampinato E, Pandini C, Davin A, Medici V, Gagliardi S, Guaita A, Pansarasa O, Cereda C, Poloni TE. Functional analysis and transcriptome profile of meninges and skin fibroblasts from human-aged donors. Cell Prolif 2024:e13627. [PMID: 38421110 DOI: 10.1111/cpr.13627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 02/12/2024] [Accepted: 02/19/2024] [Indexed: 03/02/2024] Open
Abstract
The central nervous system (CNS) is surrounded by three membranes called meninges. Specialised fibroblasts, originating from the mesoderm and neural crest, primarily populate the meninges and serve as a binding agent. Our goal was to compare fibroblasts from meninges and skin obtained from the same human-aged donors, exploring their molecular and cellular characteristics related to CNS functions. We isolated meningeal fibroblasts (MFs) from brain donors and skin fibroblasts (SFs) from the same subjects. A functional analysis was performed measuring cell appearance, metabolic activity, and cellular orientation. We examined fibronectin, serpin H1, β-III-tubulin, and nestin through qPCR and immunofluorescence. A whole transcriptome analysis was also performed to characterise the gene expression of MFs and SFs. MFs appeared more rapidly in the post-tissue processing, while SFs showed an elevated cellular metabolism and a well-defined cellular orientation. The four markers were mostly similar between the MFs and SFs, except for nestin, more expressed in MFs. Transcriptome analysis reveals significant differences, particularly in cyclic adenosine monophosphate (cAMP) metabolism and response to forskolin, both of which are upregulated in MFs. This study highlights MFs' unique characteristics, including the timing of appearance, metabolic activity, and gene expression patterns, particularly in cAMP metabolism and response to forskolin. These findings contribute to a deeper understanding of non-neuronal cells' involvement in CNS activities and potentially open avenues for therapeutic exploration.
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Affiliation(s)
- Valentina Fantini
- Laboratory of Neurobiology and Neurogenetic, Golgi-Cenci Foundation, Abbiategrasso, Italy
| | - Riccardo Rocco Ferrari
- Laboratory of Neurobiology and Neurogenetic, Golgi-Cenci Foundation, Abbiategrasso, Italy
| | - Matteo Bordoni
- Cellular Model and Neuroepigenetics Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Eleonora Spampinato
- Cellular Model and Neuroepigenetics Unit, IRCCS Mondino Foundation, Pavia, Italy
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Cecilia Pandini
- Molecular Biology and Transcriptomics Unit, IRCCS Mondino Foundation, Pavia, Italy
- Department of Biosciences, University of Milan, Milan, Italy
| | - Annalisa Davin
- Laboratory of Neurobiology and Neurogenetic, Golgi-Cenci Foundation, Abbiategrasso, Italy
| | - Valentina Medici
- Department of Neurology and Neuropathology, Golgi-Cenci Foundation, Abbiategrasso, Italy
| | - Stella Gagliardi
- Molecular Biology and Transcriptomics Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Antonio Guaita
- Laboratory of Neurobiology and Neurogenetic, Golgi-Cenci Foundation, Abbiategrasso, Italy
- Department of Neurology and Neuropathology, Golgi-Cenci Foundation, Abbiategrasso, Italy
| | - Orietta Pansarasa
- Cellular Model and Neuroepigenetics Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Cristina Cereda
- Center of Functional Genomics and Rare Diseases, Department of Pediatrics, Buzzi Children's Hospital, Milan, Italy
| | - Tino Emanuele Poloni
- Department of Neurology and Neuropathology, Golgi-Cenci Foundation, Abbiategrasso, Italy
- Department of Rehabilitation, ASP Golgi-Redaelli Geriatric Hospital, Abbiategrasso, Italy
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5
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Espinosa-Mojica AA, Varo Varo C. Determining the Linguistic Profile of Children With Rare Genetic Disorders. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2024; 67:170-186. [PMID: 38085694 DOI: 10.1044/2023_jslhr-23-00101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Abstract
PURPOSE Language studies on populations with rare genetic disorders are limited. Hence, there is little data on commonly found or expected developmental linguistic traits and cognitive mechanisms that may be impaired. Based on the hypothesis that there is a close connection between language and cognition and the relevance of specific genetic changes in the development of each, our goal was to provide linguistic data on relationships with other executive functioning mechanisms. METHOD This study assessed language skills, communicative behaviors, and executive functions in four children, aged 7-9 years, with rare genetic disorders, using standardized protocols and tests. RESULTS The findings revealed different levels of language impairment and executive functioning problems in each case. The overall executive function index performance for each of the four cases studied was clinically significantly high, indicating executive dysfunction. CONCLUSIONS The cases analyzed illustrate different types of atypical development that affect both language and other cognitive mechanisms and underscore the importance of executive skills and the various ways in which they are involved in diverse levels of language that might be affected to a greater or lesser degree in rare genetic disorders. In conclusion, we found that language dysfunction is a salient feature of the rare genetic disorders included in our study, although this is not necessarily true for all genetic disorders. Along with these conclusive results, we performed a qualitative analysis of the linguistic and cognitive components that enable functional communication in order to allow optimal interpretation of the data we have collected, laying the foundations for a more effective therapeutic approach.
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Blockmans L, Kievit R, Wouters J, Ghesquière P, Vandermosten M. Dynamics of cognitive predictors during reading acquisition in a sample of children overrepresented for dyslexia risk. Dev Sci 2024; 27:e13412. [PMID: 37219071 DOI: 10.1111/desc.13412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 04/07/2023] [Accepted: 05/09/2023] [Indexed: 05/24/2023]
Abstract
Literacy acquisition is a complex process with genetic and environmental factors influencing cognitive and neural processes associated with reading. Previous research identified factors that predict word reading fluency (WRF), including phonological awareness (PA), rapid automatized naming (RAN), and speech-in-noise perception (SPIN). Recent theoretical accounts suggest dynamic interactions between these factors and reading, but direct investigations of such dynamics are lacking. Here, we investigated the dynamic effect of phonological processing and speech perception on WRF. More specifically, we evaluated the dynamic influence of PA, RAN, and SPIN measured in kindergarten (the year prior to formal reading instruction), first grade (the first year of formal reading instruction) and second grade on WRF in second and third grade. We also assessed the effect of an indirect proxy of family risk for reading difficulties using a parental questionnaire (Adult Reading History Questionnaire, ARHQ). We applied path modeling in a longitudinal sample of 162 Dutch-speaking children of whom the majority was selected to have an increased family and/or cognitive risk for dyslexia. We showed that parental ARHQ had a significant effect on WRF, RAN and SPIN, but unexpectedly not on PA. We also found effects of RAN and PA directly on WRF that were limited to first and second grade respectively, in contrast to previous research reporting pre-reading PA effects and prolonged RAN effects throughout reading acquisition. Our study provides important new insights into early prediction of later word reading abilities and into the optimal time window to target a specific reading-related subskill during intervention.
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Affiliation(s)
- Lauren Blockmans
- Research Group ExpORL, Department of Neuroscience, KU Leuven, Leuven, Belgium
| | - Rogier Kievit
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Jan Wouters
- Research Group ExpORL, Department of Neuroscience, KU Leuven, Leuven, Belgium
| | - Pol Ghesquière
- Parenting and Special Education Research Unit, Faculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium
| | - Maaike Vandermosten
- Research Group ExpORL, Department of Neuroscience, KU Leuven, Leuven, Belgium
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7
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Hongyao HE, Chun JI, Xiaoyan G, Fangfang L, Jing Z, Lin Z, Pengxiang Z, Zengchun L. Associative gene networks reveal novel candidates important for ADHD and dyslexia comorbidity. BMC Med Genomics 2023; 16:208. [PMID: 37667328 PMCID: PMC10478365 DOI: 10.1186/s12920-023-01502-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 03/26/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND Attention deficit hyperactivity disorder (ADHD) is commonly associated with developmental dyslexia (DD), which are both prevalent and complicated pediatric neurodevelopmental disorders that have a significant influence on children's learning and development. Clinically, the comorbidity incidence of DD and ADHD is between 25 and 48%. Children with DD and ADHD may have more severe cognitive deficiencies, a poorer level of schooling, and a higher risk of social and emotional management disorders. Furthermore, patients with this comorbidity are frequently treated for a single condition in clinical settings, and the therapeutic outcome is poor. The development of effective treatment approaches against these diseases is complicated by their comorbidity features. This is often a major problem in diagnosis and treatment. In this study, we developed bioinformatical methodology for the analysis of the comorbidity of these two diseases. As such, the search for candidate genes related to the comorbid conditions of ADHD and DD can help in elucidating the molecular mechanisms underlying the comorbid condition, and can also be useful for genotyping and identifying new drug targets. RESULTS Using the ANDSystem tool, the reconstruction and analysis of gene networks associated with ADHD and dyslexia was carried out. The gene network of ADHD included 599 genes/proteins and 148,978 interactions, while that of dyslexia included 167 genes/proteins and 27,083 interactions. When the ANDSystem and GeneCards data were combined, a total of 213 genes/proteins for ADHD and dyslexia were found. An approach for ranking genes implicated in the comorbid condition of the two diseases was proposed. The approach is based on ten criteria for ranking genes by their importance, including relevance scores of association between disease and genes, standard methods of gene prioritization, as well as original criteria that take into account the characteristics of an associative gene network and the presence of known polymorphisms in the analyzed genes. Among the top 20 genes with the highest priority DRD2, DRD4, CNTNAP2 and GRIN2B are mentioned in the literature as directly linked with the comorbidity of ADHD and dyslexia. According to the proposed approach, the genes OPRM1, CHRNA4 and SNCA had the highest priority in the development of comorbidity of these two diseases. Additionally, it was revealed that the most relevant genes are involved in biological processes related to signal transduction, positive regulation of transcription from RNA polymerase II promoters, chemical synaptic transmission, response to drugs, ion transmembrane transport, nervous system development, cell adhesion, and neuron migration. CONCLUSIONS The application of methods of reconstruction and analysis of gene networks is a powerful tool for studying the molecular mechanisms of comorbid conditions. The method put forth to rank genes by their importance for the comorbid condition of ADHD and dyslexia was employed to predict genes that play key roles in the development of the comorbid condition. The results can be utilized to plan experiments for the identification of novel candidate genes and search for novel pharmacological targets.
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Affiliation(s)
- H E Hongyao
- Medical College of Shihezi University, Shihezi, China
| | - J I Chun
- Medical College of Shihezi University, Shihezi, China
| | - Gao Xiaoyan
- Medical College of Shihezi University, Shihezi, China
| | - Liu Fangfang
- Medical College of Shihezi University, Shihezi, China
| | - Zhang Jing
- Medical College of Shihezi University, Shihezi, China
| | - Zhong Lin
- Medical College of Shihezi University, Shihezi, China
| | - Zuo Pengxiang
- Medical College of Shihezi University, Shihezi, China.
| | - Li Zengchun
- Medical College of Shihezi University, Shihezi, China.
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Abbondanza F, Dale PS, Wang CA, Hayiou‐Thomas ME, Toseeb U, Koomar TS, Wigg KG, Feng Y, Price KM, Kerr EN, Guger SL, Lovett MW, Strug LJ, van Bergen E, Dolan CV, Tomblin JB, Moll K, Schulte‐Körne G, Neuhoff N, Warnke A, Fisher SE, Barr CL, Michaelson JJ, Boomsma DI, Snowling MJ, Hulme C, Whitehouse AJO, Pennell CE, Newbury DF, Stein J, Talcott JB, Bishop DVM, Paracchini S. Language and reading impairments are associated with increased prevalence of non-right-handedness. Child Dev 2023; 94:970-984. [PMID: 36780127 PMCID: PMC10330064 DOI: 10.1111/cdev.13914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Revised: 12/09/2022] [Accepted: 12/12/2022] [Indexed: 02/14/2023]
Abstract
Handedness has been studied for association with language-related disorders because of its link with language hemispheric dominance. No clear pattern has emerged, possibly because of small samples, publication bias, and heterogeneous criteria across studies. Non-right-handedness (NRH) frequency was assessed in N = 2503 cases with reading and/or language impairment and N = 4316 sex-matched controls identified from 10 distinct cohorts (age range 6-19 years old; European ethnicity) using a priori set criteria. A meta-analysis (Ncases = 1994) showed elevated NRH % in individuals with language/reading impairment compared with controls (OR = 1.21, CI = 1.06-1.39, p = .01). The association between reading/language impairments and NRH could result from shared pathways underlying brain lateralization, handedness, and cognitive functions.
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Affiliation(s)
| | - Philip S. Dale
- Department of Speech and Hearing SciencesUniversity of New MexicoAlbuquerqueNew MexicoUSA
| | - Carol A. Wang
- School of Medicine and Public HealthUniversity of NewcastleCallaghanNew South WalesAustralia
| | | | - Umar Toseeb
- Department of EducationUniversity of YorkYorkUK
| | | | - Karen G. Wigg
- Division of Experimental and Translational Neuroscience, Krembil Research InstituteUniversity Health NetworkTorontoOntarioCanada
| | - Yu Feng
- Division of Experimental and Translational Neuroscience, Krembil Research InstituteUniversity Health NetworkTorontoOntarioCanada
| | - Kaitlyn M. Price
- Division of Experimental and Translational Neuroscience, Krembil Research InstituteUniversity Health NetworkTorontoOntarioCanada
- Program in Neuroscience and Mental HealthHospital for Sick ChildrenTorontoOntarioCanada
- Department of PhysiologyUniversity of TorontoTorontoOntarioCanada
| | - Elizabeth N. Kerr
- Department of PaediatricsUniversity of TorontoTorontoOntarioCanada
- Department of PsychologyHospital for Sick ChildrenTorontoOntarioCanada
| | - Sharon L. Guger
- Department of PsychologyHospital for Sick ChildrenTorontoOntarioCanada
| | - Maureen W. Lovett
- Program in Neuroscience and Mental HealthHospital for Sick ChildrenTorontoOntarioCanada
- Department of PaediatricsUniversity of TorontoTorontoOntarioCanada
| | - Lisa J. Strug
- Genetics and Genome BiologyHospital for Sick ChildrenTorontoOntarioCanada
- Dalla Lana School of Public HealthUniversity of TorontoTorontoOntarioCanada
| | - Elsje van Bergen
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Conor V. Dolan
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | | | - Kristina Moll
- Department of Child and Adolescent Psychiatry, Psychotherapy and PsychosomaticsLudwig‐Maximilians‐University Hospital MunichMunchenGermany
| | - Gerd Schulte‐Körne
- Department of Child and Adolescent Psychiatry, Psychotherapy and PsychosomaticsLudwig‐Maximilians‐University Hospital MunichMunchenGermany
| | - Nina Neuhoff
- Department of Child and Adolescent Psychiatry, Psychotherapy and PsychosomaticsLudwig‐Maximilians‐University Hospital MunichMunchenGermany
| | | | - Simon E. Fisher
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - Cathy L. Barr
- Division of Experimental and Translational Neuroscience, Krembil Research InstituteUniversity Health NetworkTorontoOntarioCanada
- Program in Neuroscience and Mental HealthHospital for Sick ChildrenTorontoOntarioCanada
- Department of PhysiologyUniversity of TorontoTorontoOntarioCanada
| | | | - Dorret I. Boomsma
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | | | | | | | - Craig E. Pennell
- School of Medicine and Public HealthUniversity of NewcastleCallaghanNew South WalesAustralia
| | - Dianne F. Newbury
- Department of Biological and Medical SciencesOxford Brookes UniversityOxfordUK
| | - John Stein
- Department of PhysiologyUniversity of OxfordOxfordUK
| | - Joel B. Talcott
- Aston Brain Center, School of Life and Health SciencesAston UniversityBirminghamUK
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9
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Kouchi Z, Kojima M. A Structural Network Analysis of Neuronal ArhGAP21/23 Interactors by Computational Modeling. ACS OMEGA 2023; 8:19249-19264. [PMID: 37305272 PMCID: PMC10249030 DOI: 10.1021/acsomega.2c08054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 05/05/2023] [Indexed: 06/13/2023]
Abstract
RhoGTPase-activating proteins (RhoGAPs) play multiple roles in neuronal development; however, details of their substrate recognition system remain elusive. ArhGAP21 and ArhGAP23 are RhoGAPs that contain N-terminal PDZ and pleckstrin homology domains. In the present study, the RhoGAP domain of these ArhGAPs was computationally modeled by template-based methods and the AlphaFold2 software program, and their intrinsic RhoGTPase recognition mechanism was analyzed from the domain structures using the protein docking programs HADDOCK and HDOCK. ArhGAP21 was predicted to preferentially catalyze Cdc42, RhoA, RhoB, RhoC, and RhoG and to downregulate RhoD and Tc10 activities. Regarding ArhGAP23, RhoA and Cdc42 were deduced to be its substrates, whereas RhoD downregulation was predicted to be less efficient. The PDZ domains of ArhGAP21/23 possess the FTLRXXXVY sequence, and similar globular folding consists of antiparalleled β-sheets and two α-helices that are conserved with PDZ domains of MAST-family proteins. A peptide docking analysis revealed the specific interaction of the ArhGAP23 PDZ domain with the PTEN C-terminus. The pleckstrin homology domain structure of ArhGAP23 was also predicted, and the functional selectivity for the interactors regulated by the folding and disordered domains in ArhGAP21 and ArhGAP23 was examined by an in silico analysis. An interaction analysis of these RhoGAPs revealed the existence of mammalian ArhGAP21/23-specific type I and type III Arf- and RhoGTPase-regulated signaling. Multiple recognition systems of RhoGTPase substrates and selective Arf-dependent localization of ArhGAP21/23 may form the basis of the functional core signaling necessary for synaptic homeostasis and axon/dendritic transport regulated by RhoGAP localization and activities.
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Affiliation(s)
- Zen Kouchi
- Department
of Genetics, Institute for Developmental
Research, Aichi Developmental Disability Center, 713-8 Kamiya-cho, Kasugai-city 480-0392 Aichi, Japan
| | - Masaki Kojima
- Laboratory
of Bioinformatics, School of Life Sciences, Tokyo University of Pharmacy and Life Sciences, 1432-1 Horinouchi, Hachioji 192-0392, Japan
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10
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Church JA, Grigorenko EL, Fletcher JM. The Role of Neural and Genetic Processes in Learning to Read and Specific Reading Disabilities: Implications for Instruction. READING RESEARCH QUARTERLY 2023; 58:203-219. [PMID: 37456924 PMCID: PMC10348696 DOI: 10.1002/rrq.439] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Accepted: 06/29/2021] [Indexed: 07/18/2023]
Abstract
To learn to read, the brain must repurpose neural systems for oral language and visual processing to mediate written language. We begin with a description of computational models for how alphabetic written language is processed. Next, we explain the roles of a dorsal sublexical system in the brain that relates print and speech, a ventral lexical system that develops the visual expertise for rapid orthographic processing at the word level, and the role of cognitive control networks that regulate attentional processes as children read. We then use studies of children, adult illiterates learning to read, and studies of poor readers involved in intervention, to demonstrate the plasticity of these neural networks in development and in relation to instruction. We provide a brief overview of the rapid increase in the field's understanding and technology for assessing genetic influence on reading. Family studies of twins have shown that reading skills are heritable, and molecular genetic studies have identified numerous regions of the genome that may harbor candidate genes for the heritability of reading. In selected families, reading impairment has been associated with major genetic effects, despite individual gene contributions across the broader population that appear to be small. Neural and genetic studies do not prescribe how children should be taught to read, but these studies have underscored the critical role of early intervention and ongoing support. These studies also have highlighted how structured instruction that facilitates access to the sublexical components of words is a critical part of training the brain to read.
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Affiliation(s)
| | - Elena L Grigorenko
- University of Houston, Texas, USA; Baylor College of Medicine, Houston, Texas, USA; and St. Petersburg State University, Russia
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11
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Price KM, Wigg KG, Nigam A, Feng Y, Blokland K, Wilkinson M, Kerr EN, Guger SL, Lovett MW, Strug LJ, Tripathy SJ, Barr CL. Identification of brain cell types underlying genetic association with word reading and correlated traits. Mol Psychiatry 2023; 28:1719-1730. [PMID: 36750735 DOI: 10.1038/s41380-023-01970-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 01/10/2023] [Accepted: 01/17/2023] [Indexed: 02/09/2023]
Abstract
Neuroimaging studies implicate multiple cortical regions in reading ability/disability. However, the neural cell types integral to the reading process are unknown. To contribute to this gap in knowledge, we integrated genetic results from genome-wide association studies for word reading (n = 5054) with gene expression datasets from adult/fetal human brain. Linkage disequilibrium score regression (LDSC) suggested that variants associated with word reading were enriched in genes expressed in adult excitatory neurons, specifically layer 5 and 6 FEZF2 expressing neurons and intratelencephalic (IT) neurons, which express the marker genes LINC00507, THEMIS, or RORB. Inhibitory neurons (VIP, SST, and PVALB) were also found. This finding was interesting as neurometabolite studies previously implicated excitatory-inhibitory imbalances in the etiology of reading disabilities (RD). We also tested traits that shared genetic etiology with word reading (previously determined by polygenic risk scores): attention-deficit/hyperactivity disorder (ADHD), educational attainment, and cognitive ability. For ADHD, we identified enrichment in L4 IT adult excitatory neurons. For educational attainment and cognitive ability, we confirmed previous studies identifying multiple subclasses of adult cortical excitatory and inhibitory neurons, as well as astrocytes and oligodendrocytes. For educational attainment and cognitive ability, we also identified enrichment in multiple fetal cortical excitatory and inhibitory neurons, intermediate progenitor cells, and radial glial cells. In summary, this study supports a role of excitatory and inhibitory neurons in reading and excitatory neurons in ADHD and contributes new information on fetal cell types enriched in educational attainment and cognitive ability, thereby improving our understanding of the neurobiological basis of reading/correlated traits.
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Affiliation(s)
- Kaitlyn M Price
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, ON, Canada.,Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, ON, Canada.,Department of Physiology, University of Toronto, Toronto, ON, Canada
| | - Karen G Wigg
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, ON, Canada
| | - Anukrati Nigam
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Yu Feng
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, ON, Canada
| | - Kirsten Blokland
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, ON, Canada
| | - Margaret Wilkinson
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, ON, Canada
| | - Elizabeth N Kerr
- Department of Psychology, Hospital for Sick Children, Toronto, ON, Canada.,Department of Pediatrics, University of Toronto, Toronto, ON, Canada
| | - Sharon L Guger
- Department of Psychology, Hospital for Sick Children, Toronto, ON, Canada
| | - Maureen W Lovett
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, ON, Canada.,Department of Pediatrics, University of Toronto, Toronto, ON, Canada
| | - Lisa J Strug
- Genetics and Genome Biology, Hospital for Sick Children, Toronto, ON, Canada.,Departments of Statistical Sciences and Computer Science, Faculty of Arts and Science and Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Shreejoy J Tripathy
- Department of Physiology, University of Toronto, Toronto, ON, Canada.,Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Cathy L Barr
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, ON, Canada. .,Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, ON, Canada. .,Department of Physiology, University of Toronto, Toronto, ON, Canada. .,Institute of Medical Science, University of Toronto, Toronto, ON, Canada. .,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
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12
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Lee MM, Drury BC, McGrath LM, Stoodley CJ. Shared grey matter correlates of reading and attention. BRAIN AND LANGUAGE 2023; 237:105230. [PMID: 36731345 PMCID: PMC10153583 DOI: 10.1016/j.bandl.2023.105230] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 01/13/2023] [Accepted: 01/17/2023] [Indexed: 05/04/2023]
Abstract
Disorders of reading (developmental dyslexia) and attention (ADHD) have a high rate of comorbidity (25-40%), yet little is known about the neural underpinnings of this phenomenon. The current study investigated the shared and unique neural correlates of reading and attention in 330 typically developing children ages 8-18 from the Philadelphia Neurodevelopmental Cohort. Multiple regression analyses were used to identify regions of the brain where grey matter (GM) volume was associated with reading or attention scores (p < 0.001, cluster FDR p < 0.05). Better attention scores correlated with increased GM in the precuneus and higher reading scores were associated with greater thalamic GM. An exploratory conjunction analysis (p < 0.05, k > 239) found that GM in the caudate and precuneus correlated with both reading and attention scores. These results are consistent with a recent meta-analysis which identified GM reductions in the caudate in both dyslexia and ADHD and reveal potential shared neural correlates of reading and attention.
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Affiliation(s)
- Marissa M Lee
- Department of Psychology, American University, United States; Department of Neuroscience, American University, United States
| | - Brianne C Drury
- Undergraduate Program in Neuroscience, American University, United States
| | | | - Catherine J Stoodley
- Department of Psychology, American University, United States; Department of Neuroscience, American University, United States.
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13
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Exploring Genetic and Neural Risk of Specific Reading Disability within a Nuclear Twin Family Case Study: A Translational Clinical Application. J Pers Med 2023; 13:jpm13010156. [PMID: 36675818 PMCID: PMC9862148 DOI: 10.3390/jpm13010156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/10/2023] [Accepted: 01/10/2023] [Indexed: 01/18/2023] Open
Abstract
Imaging and genetic studies have characterized biological risk factors contributing to specific reading disability (SRD). The current study aimed to apply this literature to a family of twins discordant for SRD and an older sibling with reading difficulty. Intraclass correlations were used to understand the similarity of imaging phenotypes between pairs. Reading-related genes and brain region phenotypes, including asymmetry indices representing the relative size of left compared to right hemispheric structures, were descriptively examined. SNPs that corresponded between the SRD siblings and not the typically developing (TD) siblings were in genes ZNF385D, LPHN3, CNTNAP2, FGF18, NOP9, CMIP, MYO18B, and RBFOX2. Imaging phenotypes were similar among all sibling pairs for grey matter volume and surface area, but cortical thickness in reading-related regions of interest (ROIs) was more similar among the siblings with SRD, followed by the twins, and then the TD twin and older siblings, suggesting cortical thickness may differentiate risk for this family. The siblings with SRD had more symmetry of cortical thickness in the transverse temporal and superior temporal gyri, while the TD sibling had greater rightward asymmetry. The TD sibling had a greater leftward asymmetry of grey matter volume and cortical surface area in the fusiform, supramarginal, and transverse temporal gyrus. This exploratory study demonstrated that reading-related risk factors appeared to correspond with SRD within this family, suggesting that early examination of biological factors may benefit early identification. Future studies may benefit from the use of polygenic risk scores or machine learning to better understand SRD risk.
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14
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Price KM, Wigg KG, Eising E, Feng Y, Blokland K, Wilkinson M, Kerr EN, Guger SL, Fisher SE, Lovett MW, Strug LJ, Barr CL. Hypothesis-driven genome-wide association studies provide novel insights into genetics of reading disabilities. Transl Psychiatry 2022; 12:495. [PMID: 36446759 PMCID: PMC9709072 DOI: 10.1038/s41398-022-02250-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 10/24/2022] [Accepted: 11/03/2022] [Indexed: 11/30/2022] Open
Abstract
Reading Disability (RD) is often characterized by difficulties in the phonology of the language. While the molecular mechanisms underlying it are largely undetermined, loci are being revealed by genome-wide association studies (GWAS). In a previous GWAS for word reading (Price, 2020), we observed that top single-nucleotide polymorphisms (SNPs) were located near to or in genes involved in neuronal migration/axon guidance (NM/AG) or loci implicated in autism spectrum disorder (ASD). A prominent theory of RD etiology posits that it involves disturbed neuronal migration, while potential links between RD-ASD have not been extensively investigated. To improve power to identify associated loci, we up-weighted variants involved in NM/AG or ASD, separately, and performed a new Hypothesis-Driven (HD)-GWAS. The approach was applied to a Toronto RD sample and a meta-analysis of the GenLang Consortium. For the Toronto sample (n = 624), no SNPs reached significance; however, by gene-set analysis, the joint contribution of ASD-related genes passed the threshold (p~1.45 × 10-2, threshold = 2.5 × 10-2). For the GenLang Cohort (n = 26,558), SNPs in DOCK7 and CDH4 showed significant association for the NM/AG hypothesis (sFDR q = 1.02 × 10-2). To make the GenLang dataset more similar to Toronto, we repeated the analysis restricting to samples selected for reading/language deficits (n = 4152). In this GenLang selected subset, we found significant association for a locus intergenic between BTG3-C21orf91 for both hypotheses (sFDR q < 9.00 × 10-4). This study contributes candidate loci to the genetics of word reading. Data also suggest that, although different variants may be involved, alleles implicated in ASD risk may be found in the same genes as those implicated in word reading. This finding is limited to the Toronto sample suggesting that ascertainment influences genetic associations.
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Affiliation(s)
- Kaitlyn M Price
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Karen G Wigg
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Else Eising
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Yu Feng
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Kirsten Blokland
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Margaret Wilkinson
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Elizabeth N Kerr
- Department of Psychology, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Sharon L Guger
- Department of Psychology, Hospital for Sick Children, Toronto, Ontario, Canada
| | - 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
| | - Maureen W Lovett
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Lisa J Strug
- Genetics and Genome Biology, Hospital for Sick Children, Toronto, Ontario, Canada
- Departments of Statistical Sciences and Computer Science, Faculty of Arts and Science and Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Cathy L Barr
- Division of Experimental and Translational Neuroscience, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada.
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15
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Mitchell BL, Hansell NK, McAloney K, Martin NG, Wright MJ, Renteria ME, Grasby KL. Polygenic influences associated with adolescent cognitive skills. INTELLIGENCE 2022. [DOI: 10.1016/j.intell.2022.101680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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16
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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: 27] [Impact Index Per Article: 13.5] [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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17
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Price KM, Wigg KG, Misener VL, Clarke A, Yeung N, Blokland K, Wilkinson M, Kerr EN, Guger SL, Lovett MW, Barr CL. Language Difficulties in School-Age Children With Developmental Dyslexia. JOURNAL OF LEARNING DISABILITIES 2022; 55:200-212. [PMID: 33890525 PMCID: PMC8996296 DOI: 10.1177/00222194211006207] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Developmental dyslexia (DD) is a common reading disability, affecting 5% to 11% of children in North America. Children classified as having DD often have a history of early language delay (ELD) or language impairments. Nevertheless, studies have reported conflicting results as to the association between DD-ELD and the extent of current language difficulties in children with DD. To examine these relationships, we queried the parents of school-age children with reading difficulties on their child's early and current language ability. Siblings were also examined. Children were directly assessed using quantitative tests of language and reading skills. To compare this study with the literature, we divided the sample (N = 674) into three groups: DD, intermediate readers (IR), and skilled readers (SR). We found a significant association between DD and ELD, with parents of children in the DD/IR groups reporting their children put words together later than the SR group. We also found a significant association between DD and language difficulties, with children with low reading skills having low expressive/receptive language abilities. Finally, we identified early language predicted current language, which predicted reading skills. These data contribute to research indicating that children with DD experience language difficulties, suggesting early recognition may help identify reading problems.
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Affiliation(s)
- Kaitlyn M. Price
- University Health Network, Toronto,
Ontario, Canada
- The Hospital for Sick Children,
Toronto, Ontario, Canada
- University of Toronto, Ontario,
Canada
| | | | | | - Antoine Clarke
- The Hospital for Sick Children,
Toronto, Ontario, Canada
| | - Natalie Yeung
- The Hospital for Sick Children,
Toronto, Ontario, Canada
| | | | | | - Elizabeth N. Kerr
- The Hospital for Sick Children,
Toronto, Ontario, Canada
- University of Toronto, Ontario,
Canada
| | | | - Maureen W. Lovett
- The Hospital for Sick Children,
Toronto, Ontario, Canada
- University of Toronto, Ontario,
Canada
| | - Cathy L. Barr
- University Health Network, Toronto,
Ontario, Canada
- The Hospital for Sick Children,
Toronto, Ontario, Canada
- University of Toronto, Ontario,
Canada
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18
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Deng Z, Jian Y, Cai H. Ropivacaine represses the proliferation, invasion, and migration of glioblastoma via modulating the microRNA-21-5p/KAT8 regulatory NSL complex subunit 2 axis. Bioengineered 2022; 13:5975-5986. [PMID: 35191804 PMCID: PMC8973733 DOI: 10.1080/21655979.2022.2037955] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
Ropivacaine (Rop) is available to suppress the growth of glioblastoma (GBM), while its mechanism has not been completely elaborated. In this study, we explore the latent mechanism of Rop repressing GBM's growth via mediating the microRNA (miR)-21-5p/KAT8 regulatory NSL complex subunit 2 (KANSL2) axis. MiR-21-5p was declined in GBM, while KANSL2 was elevated. Clinical association studies manifested miR-21-5p was distinctly linked to the tumor size and grade of GBM. Rop constrained GBM cell proliferation, invasion, and migration but boosted apoptosis. Elevated miR-21-5p strengthened Rop's action, while augmented KANSL2 weakened Rop's role. Furthermore, the impact of silencing miR-21-5p on GBM was turned around via declining KANSL2 in Rop-treated GBM cells. KANSL2 was the target gene of miR-21-5p. In short, Rop exerted an anti-tumor impact on GBM via mediating the miR-21-5p/KANSL2 axis, which offered novel viewpoints for the later adoption of Rop as GBM drugs.
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Affiliation(s)
- Zexiang Deng
- Department of Anesthesiology, Xiangya Hospital of Central South University, Changsha City, Hunan Province, China
| | - Yanping Jian
- Department of Anesthesiology, Xiangya Hospital of Central South University, Changsha City, Hunan Province, China
| | - Hongwei Cai
- Department of Anesthesiology, Xiangya Hospital of Central South University, Changsha City, Hunan Province, China
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19
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Erbeli F, Rice M, Paracchini S. Insights into Dyslexia Genetics Research from the Last Two Decades. Brain Sci 2021; 12:27. [PMID: 35053771 PMCID: PMC8773624 DOI: 10.3390/brainsci12010027] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/21/2021] [Accepted: 12/23/2021] [Indexed: 12/14/2022] Open
Abstract
Dyslexia, a specific reading disability, is a common (up to 10% of children) and highly heritable (~70%) neurodevelopmental disorder. Behavioral and molecular genetic approaches are aimed towards dissecting its significant genetic component. In the proposed review, we will summarize advances in twin and molecular genetic research from the past 20 years. First, we will briefly outline the clinical and educational presentation and epidemiology of dyslexia. Next, we will summarize results from twin studies, followed by molecular genetic research (e.g., genome-wide association studies (GWASs)). In particular, we will highlight converging key insights from genetic research. (1) Dyslexia is a highly polygenic neurodevelopmental disorder with a complex genetic architecture. (2) Dyslexia categories share a large proportion of genetics with continuously distributed measures of reading skills, with shared genetic risks also seen across development. (3) Dyslexia genetic risks are shared with those implicated in many other neurodevelopmental disorders (e.g., developmental language disorder and dyscalculia). Finally, we will discuss the implications and future directions. As the diversity of genetic studies continues to increase through international collaborate efforts, we will highlight the challenges in advances of genetics discoveries in this field.
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Affiliation(s)
- Florina Erbeli
- Department of Educational Psychology, Texas A&M University, College Station, TX 77843, USA;
| | - Marianne Rice
- Department of Educational Psychology, Texas A&M University, College Station, TX 77843, USA;
| | - Silvia Paracchini
- School of Medicine, University of St Andrews, St Andrews KY16 9AJ, UK;
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20
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Thomas T, Khalaf S, Grigorenko EL. A systematic review and meta-analysis of imaging genetics studies of specific reading disorder. Cogn Neuropsychol 2021; 38:179-204. [PMID: 34529546 DOI: 10.1080/02643294.2021.1969900] [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: 10/20/2022]
Abstract
The imaging genetics of specific reading disabilities (SRD) is an emerging field that aims to characterize the disabilities' neurobiological causes, including atypical brain structure and function and distinct genetic architecture. The present review aimed to summarize current imaging genetics studies of SRD, characterize the effect sizes of reported results by calculating Cohen's d, complete a Fisher's Combined Probability Test for genes featured in multiple studies, and determine areas for future research. Results demonstrate associations between SRD risk genes and reading network brain phenotypes. The Fisher's test revealed promising results for the genes DCDC2, KIAA0319, FOXP2, SLC2A3, and ROBO1. Future research should focus on exploratory approaches to identify previously undiscovered genes. Using comprehensive neuroimaging (e.g., functional and effective connectivity) and genetic (e.g., sequencing and epigenetic) techniques, and using larger samples, diverse stages of development, and longitudinal investigations, would help researchers understand the neurobiological correlates of SRD to improve early identification.
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Affiliation(s)
- Tina Thomas
- Department of Psychology, University of Houston, Houston, TX, USA.,Texas Institute for Measurement, Evaluation, and Statistics, University of Houston, Houston, TX, USA
| | - Shiva Khalaf
- Texas Institute for Measurement, Evaluation, and Statistics, University of Houston, Houston, TX, USA
| | - Elena L Grigorenko
- Department of Psychology, University of Houston, Houston, TX, USA.,Texas Institute for Measurement, Evaluation, and Statistics, University of Houston, Houston, TX, USA.,Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
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21
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Whole-genome sequencing identifies functional noncoding variation in SEMA3C that cosegregates with dyslexia in a multigenerational family. Hum Genet 2021; 140:1183-1200. [PMID: 34076780 PMCID: PMC8263547 DOI: 10.1007/s00439-021-02289-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 04/27/2021] [Indexed: 12/11/2022]
Abstract
Dyslexia is a common heritable developmental disorder involving impaired reading abilities. Its genetic underpinnings are thought to be complex and heterogeneous, involving common and rare genetic variation. Multigenerational families segregating apparent monogenic forms of language-related disorders can provide useful entrypoints into biological pathways. In the present study, we performed a genome-wide linkage scan in a three-generational family in which dyslexia affects 14 of its 30 members and seems to be transmitted with an autosomal dominant pattern of inheritance. We identified a locus on chromosome 7q21.11 which cosegregated with dyslexia status, with the exception of two cases of phenocopy (LOD = 2.83). Whole-genome sequencing of key individuals enabled the assessment of coding and noncoding variation in the family. Two rare single-nucleotide variants (rs144517871 and rs143835534) within the first intron of the SEMA3C gene cosegregated with the 7q21.11 risk haplotype. In silico characterization of these two variants predicted effects on gene regulation, which we functionally validated for rs144517871 in human cell lines using luciferase reporter assays. SEMA3C encodes a secreted protein that acts as a guidance cue in several processes, including cortical neuronal migration and cellular polarization. We hypothesize that these intronic variants could have a cis-regulatory effect on SEMA3C expression, making a contribution to dyslexia susceptibility in this family.
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22
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The Polygenic Nature and Complex Genetic Architecture of Specific Learning Disorder. Brain Sci 2021; 11:brainsci11050631. [PMID: 34068951 PMCID: PMC8156942 DOI: 10.3390/brainsci11050631] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 05/11/2021] [Accepted: 05/12/2021] [Indexed: 12/16/2022] Open
Abstract
Specific Learning Disorder (SLD) is a multifactorial, neurodevelopmental disorder which may involve persistent difficulties in reading (dyslexia), written expression and/or mathematics. Dyslexia is characterized by difficulties with speed and accuracy of word reading, deficient decoding abilities, and poor spelling. Several studies from different, but complementary, scientific disciplines have investigated possible causal/risk factors for SLD. Biological, neurological, hereditary, cognitive, linguistic-phonological, developmental and environmental factors have been incriminated. Despite worldwide agreement that SLD is highly heritable, its exact biological basis remains elusive. We herein present: (a) an update of studies that have shaped our current knowledge on the disorder’s genetic architecture; (b) a discussion on whether this genetic architecture is ‘unique’ to SLD or, alternatively, whether there is an underlying common genetic background with other neurodevelopmental disorders; and, (c) a brief discussion on whether we are at a position of generating meaningful correlations between genetic findings and anatomical data from neuroimaging studies or specific molecular/cellular pathways. We conclude with open research questions that could drive future research directions.
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23
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Genome-wide association study reveals new insights into the heritability and genetic correlates of developmental dyslexia. Mol Psychiatry 2021; 26:3004-3017. [PMID: 33057169 PMCID: PMC8505236 DOI: 10.1038/s41380-020-00898-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 07/26/2020] [Accepted: 09/18/2020] [Indexed: 02/06/2023]
Abstract
Developmental dyslexia (DD) is a learning disorder affecting the ability to read, with a heritability of 40-60%. A notable part of this heritability remains unexplained, and large genetic studies are warranted to identify new susceptibility genes and clarify the genetic bases of dyslexia. We carried out a genome-wide association study (GWAS) on 2274 dyslexia cases and 6272 controls, testing associations at the single variant, gene, and pathway level, and estimating heritability using single-nucleotide polymorphism (SNP) data. We also calculated polygenic scores (PGSs) based on large-scale GWAS data for different neuropsychiatric disorders and cortical brain measures, educational attainment, and fluid intelligence, testing them for association with dyslexia status in our sample. We observed statistically significant (p < 2.8 × 10-6) enrichment of associations at the gene level, for LOC388780 (20p13; uncharacterized gene), and for VEPH1 (3q25), a gene implicated in brain development. We estimated an SNP-based heritability of 20-25% for DD, and observed significant associations of dyslexia risk with PGSs for attention deficit hyperactivity disorder (at pT = 0.05 in the training GWAS: OR = 1.23[1.16; 1.30] per standard deviation increase; p = 8 × 10-13), bipolar disorder (1.53[1.44; 1.63]; p = 1 × 10-43), schizophrenia (1.36[1.28; 1.45]; p = 4 × 10-22), psychiatric cross-disorder susceptibility (1.23[1.16; 1.30]; p = 3 × 10-12), cortical thickness of the transverse temporal gyrus (0.90[0.86; 0.96]; p = 5 × 10-4), educational attainment (0.86[0.82; 0.91]; p = 2 × 10-7), and intelligence (0.72[0.68; 0.76]; p = 9 × 10-29). This study suggests an important contribution of common genetic variants to dyslexia risk, and novel genomic overlaps with psychiatric conditions like bipolar disorder, schizophrenia, and cross-disorder susceptibility. Moreover, it revealed the presence of shared genetic foundations with a neural correlate previously implicated in dyslexia by neuroimaging evidence.
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24
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Laasonen M, Lahti-Nuuttila P, Leppämäki S, Tani P, Wikgren J, Harno H, Oksanen-Hennah H, Pothos E, Cleeremans A, Dye MWG, Cousineau D, Hokkanen L. Project DyAdd: Non-linguistic Theories of Dyslexia Predict Intelligence. Front Hum Neurosci 2020; 14:316. [PMID: 32922276 PMCID: PMC7456923 DOI: 10.3389/fnhum.2020.00316] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 07/16/2020] [Indexed: 11/13/2022] Open
Abstract
Two themes have puzzled the research on developmental and learning disorders for decades. First, some of the risk and protective factors behind developmental challenges are suggested to be shared and some are suggested to be specific for a given condition. Second, language-based learning difficulties like dyslexia are suggested to result from or correlate with non-linguistic aspects of information processing as well. In the current study, we investigated how adults with developmental dyslexia or ADHD as well as healthy controls cluster across various dimensions designed to tap the prominent non-linguistic theories of dyslexia. Participants were 18–55-year-old adults with dyslexia (n = 36), ADHD (n = 22), and controls (n = 35). Non-linguistic theories investigated with experimental designs included temporal processing impairment, abnormal cerebellar functioning, procedural learning difficulties, as well as visual processing and attention deficits. Latent profile analysis (LPA) was used to investigate the emerging groups and patterns of results across these experimental designs. LPA suggested three groups: (1) a large group with average performance in the experimental designs, (2) participants predominantly from the clinical groups but with enhanced conditioning learning, and (3) participants predominantly from the dyslexia group with temporal processing as well as visual processing and attention deficits. Despite the presence of these distinct patterns, participants did not cluster very well based on their original status, nor did the LPA groups differ in their dyslexia or ADHD-related neuropsychological profiles. Remarkably, the LPA groups did differ in their intelligence. These results highlight the continuous and overlapping nature of the observed difficulties and support the multiple deficit model of developmental disorders, which suggests shared risk factors for developmental challenges. It also appears that some of the risk factors suggested by the prominent non-linguistic theories of dyslexia relate to the general level of functioning in tests of intelligence.
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Affiliation(s)
- Marja Laasonen
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland.,Department of Otorhinolaryngology and Phoniatrics - Head and Neck Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Pekka Lahti-Nuuttila
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland.,Department of Otorhinolaryngology and Phoniatrics - Head and Neck Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Sami Leppämäki
- Department of Psychiatry, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Pekka Tani
- Department of Psychiatry, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Jan Wikgren
- Department of Psychology, Centre for Interdisciplinary Brain Research, University of Jyväskylä, Jyväskylä, Finland
| | - Hanna Harno
- Clinical Neurosciences, Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Henna Oksanen-Hennah
- Pediatric Neuropsychiatric Unit, Department of Child Psychiatry, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Emmanuel Pothos
- Department of Psychology, City University of London, London, United Kingdom
| | - Axel Cleeremans
- Center for Research in Cognition & Neurosciences, Université libre de Bruxelles, Brussels, Belgium
| | - Matthew W G Dye
- National Technical Institute for the Deaf, Rochester Institute of Technology, Rochester, NY, United States
| | - Denis Cousineau
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Laura Hokkanen
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
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25
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Lancaster HS, Liu X, Dinu V, Li J. Identifying interactive biological pathways associated with reading disability. Brain Behav 2020; 10:e01735. [PMID: 32596987 PMCID: PMC7428467 DOI: 10.1002/brb3.1735] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 06/01/2020] [Accepted: 06/07/2020] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION Past research has suggested that reading disability is a complex disorder involving genetic and environment contributions, as well as gene-gene and gene-environment interaction, but to date little is known about the underlying mechanisms. METHOD Using the Avon Longitudinal Study of Parents and Children, we assessed the contributions of genetic, demographic, and environmental variables on case-control status using machine learning. We investigated the functional interactions between genes using pathway and network analysis. RESULTS Our results support a systems approach to studying the etiology of reading disability with many genes (e.g., RAPGEF2, KIAA0319, DLC1) and biological pathways (e.g., neuron migration, positive regulation of dendrite regulation, nervous system development) interacting with each other. We found that single nucleotide variants within genes often had opposite effects and that enriched biological pathways were mediated by neuron migration. We also identified behavioral (i.e., receptive language, nonverbal intelligence, and vocabulary), demographic (i.e., mother's highest education), and environmental (i.e., birthweight) factors that influenced case-control status when accounting for genetic information. DISCUSSION The behavioral and demographic factors were suggested to be protective against reading disability status, while birthweight conveyed risk. We provided supporting evidence that reading disability has a complex biological and environmental etiology and that there may be a shared genetic and neurobiological architecture for reading (dis)ability.
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Affiliation(s)
- Hope Sparks Lancaster
- College of Health SolutionsArizona State UniversityTempeAZUSA
- Department of Computing, Informatics, and Decision Systems EngineeringSchools of EngineeringArizona State UniversityTempeAZUSA
| | - Xiaonan Liu
- Department of Computing, Informatics, and Decision Systems EngineeringSchools of EngineeringArizona State UniversityTempeAZUSA
| | - Valentin Dinu
- College of Health SolutionsArizona State UniversityTempeAZUSA
| | - Jing Li
- School of Industrial and Systems EngineeringGeorgia Institute of TechnologyAtlantaGAUSA
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