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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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2
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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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3
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The heritability of reading and reading-related neurocognitive components: A multi-level meta-analysis. Neurosci Biobehav Rev 2020; 121:175-200. [PMID: 33246020 DOI: 10.1016/j.neubiorev.2020.11.016] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 11/13/2020] [Accepted: 11/19/2020] [Indexed: 01/25/2023]
Abstract
Reading ability is a complex task requiring the integration of multiple cognitive and perceptual systems supporting language, visual and orthographic processes, working memory, attention, motor movements, and higher-level comprehension and cognition. Estimates of genetic and environmental influences for some of these reading-related neurocognitive components vary across reports. By using a multi-level meta-analysis approach, we synthesized the results of behavioral genetic research on reading-related neurocognitive components (i.e. general reading, letter-word knowledge, phonological decoding, reading comprehension, spelling, phonological awareness, rapid automatized naming, and language) of 49 twin studies spanning 4.1-18.5 years of age, with a total sample size of more than 38,000 individuals. Except for language for which shared environment seems to play a more important role, the causal architecture across most of the reading-related neurocognitive components can be represented by the following equation a² > e² > c². Moderators analysis revealed that sex and spoken language did not affect the heritability of any reading-related skills; school grade levels moderated the heritability of general reading, reading comprehension and phonological awareness.
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Surushkina SY, Yakovenko EA, Chutko LS, Didur MD. [Dyslexia as a multideficit disorder]. Zh Nevrol Psikhiatr Im S S Korsakova 2020; 120:142-148. [PMID: 32790989 DOI: 10.17116/jnevro2020120071142] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The article provides a review of research on dyslexia. Various views on the role of genetic and environmental factors in the etiology and pathogenesis of this disorder are examined. The results of neurophysiological and neuropsychological studies are presented, indicating a disturbance of some higher mental functions in dyslexia. The main neurocognitive deficits observed in dyslexia are considered: a disturbance of certain parameters of attention and working memory, a decrease in the speed of information processing, and insufficient automation of new skills. Based on the data presented, dyslexia appears to be a multifactorial and multideficit disorder.
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Affiliation(s)
- S Yu Surushkina
- N.Bekhtereva Institute of Human Brain Russian Academy of Sciences, St. Petersburg, Russia
| | - E A Yakovenko
- N.Bekhtereva Institute of Human Brain Russian Academy of Sciences, St. Petersburg, Russia
| | - L S Chutko
- N.Bekhtereva Institute of Human Brain Russian Academy of Sciences, St. Petersburg, Russia
| | - M D Didur
- N.Bekhtereva Institute of Human Brain Russian Academy of Sciences, St. Petersburg, Russia
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5
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Moreau D, Waldie KE. Developmental Learning Disorders: From Generic Interventions to Individualized Remediation. Front Psychol 2016; 6:2053. [PMID: 26793160 PMCID: PMC4709759 DOI: 10.3389/fpsyg.2015.02053] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Accepted: 12/24/2015] [Indexed: 01/30/2023] Open
Abstract
Developmental learning disorders affect many children, impairing their experience in the classroom and hindering many aspects of their life. Once a bleak sentence associated with life-long difficulties, several learning disorders can now be successfully alleviated, directly benefiting from promising interventions. In this review, we focus on two of the most prevalent learning disorders, dyslexia and attention-deficit/hyperactivity disorder (ADHD). Recent advances have refined our understanding of the specific neural networks that are altered in these disorders, yet questions remain regarding causal links between neural changes and behavioral improvements. After briefly reviewing the theoretical foundations of dyslexia and ADHD, we explore their distinct and shared characteristics, and discuss the comorbidity of the two disorders. We then examine current interventions, and consider the benefits of approaches that integrate remediation within other activities to encourage sustained motivation and improvements. Finally, we conclude with a reflection on the potential for remediation programs to be personalized by taking into account the specificities and demands of each individual. The effective remediation of learning disorders is critical to modern societies, especially considering the far-reaching ramifications of successful early interventions.
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Affiliation(s)
- David Moreau
- Centre for Brain Research, School of Psychology, The University of Auckland Auckland, New Zealand
| | - Karen E Waldie
- Centre for Brain Research, School of Psychology, The University of Auckland Auckland, New Zealand
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Pham AV, Riviere A. Specific Learning Disorders and ADHD: Current Issues in Diagnosis Across Clinical and Educational Settings. Curr Psychiatry Rep 2015; 17:38. [PMID: 25894357 DOI: 10.1007/s11920-015-0584-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
With the recent changes in the American Psychiatric Association's Diagnostic and Statistical Manual of Mental Disorders (DSM), this article provides a comprehensive review of two high-incidence disorders most commonly seen in childhood and adolescence: specific learning disorder (SLD) and attention-deficit/hyperactivity disorder (ADHD). Updates regarding comorbidity, shared neuropsychological factors, and reasons for the changes in diagnostic criteria are addressed. Although the revisions in the DSM-5 may allow for better diagnostic sensitivity based on the symptomology, specifiers, and the clinical features outlined, there continues to be challenges in operationalizing SLD and implementing consistent assessment practices among mental health professionals particularly when considering the Individuals with Disabilities Education Act (IDEA), which provides guidelines in the evaluation of SLD in school settings. Clinical and educational assessment implications are discussed with special attention to develop a collaborative approach between psychiatrists, psychologists, and educators when providing service delivery for children and adolescents with neurodevelopmental disabilities.
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Affiliation(s)
- Andy V Pham
- Department of Leadership and Professional Studies, Florida International University, Miami, FL, USA,
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7
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Tischler T, Daseking M, Petermann F. Einschätzung von Risikofaktoren bei der Entstehung von Leseschwierigkeiten. Monatsschr Kinderheilkd 2015. [DOI: 10.1007/s00112-015-3321-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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8
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Stubenrauch C, Krinzinger H, Konrad K. [From brain imaging to good teaching? implicating from neuroscience for research on learning and instruction]. ZEITSCHRIFT FUR KINDER-UND JUGENDPSYCHIATRIE UND PSYCHOTHERAPIE 2014; 42:253-68; quiz 268-9. [PMID: 25005903 DOI: 10.1024/1422-4917/a000298] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Psychiatric disorders in childhood and adolescence, in particular attention deficit disorder or specific learning disorders like developmental dyslexia and developmental dyscalculia, affect academic performance and learning at school. Recent advances in neuroscientific research have incited an intensive debate both in the general public and in the field of educational and instructional science as well as to whether and to what extent these new findings in the field of neuroscience might be of importance for school-related learning and instruction. In this review, we first summarize neuroscientific findings related to the development of attention, working memory and executive functions in typically developing children and then evaluate their relevance for school-related learning. We present an overview of neuroimaging studies of specific learning disabilities such as developmental dyslexia and developmental dyscalculia, and critically discuss their practical implications for educational and teaching practice, teacher training, early diagnosis as well as prevention and disorder-specific therapy. We conclude that the new interdisciplinary field of neuroeducation cannot be expected to provide direct innovative educational applications (e.g., teaching methods). Rather, the future potential of neuroscience lies in creating a deeper understanding of the underlying cognitive mechanisms and pathomechanisms of learning processes and learning disorders.
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Affiliation(s)
- Christa Stubenrauch
- Kinder- und Jugendabteilung für Psychische Gesundheit, Universitätsklinikum Erlangen
| | - Helga Krinzinger
- Lehr- und Forschungsgebiet Klinische Neuropsychologie des Kindes- und Jugendalters, Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Universitätsklinikum der RWTH Aachen
| | - Kerstin Konrad
- Lehr- und Forschungsgebiet Klinische Neuropsychologie des Kindes- und Jugendalters, Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Universitätsklinikum der RWTH Aachen Kognitive Entwicklung, Institut für Neurowissenschaften und Medizin (INM-III), Forschungszentrum Jülich
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9
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Rubenstein K, Raskind WH, Berninger VW, Matsushita MM, Wijsman EM. Genome scan for cognitive trait loci of dyslexia: Rapid naming and rapid switching of letters, numbers, and colors. Am J Med Genet B Neuropsychiatr Genet 2014; 165B:345-56. [PMID: 24807833 PMCID: PMC4053475 DOI: 10.1002/ajmg.b.32237] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2013] [Accepted: 04/14/2014] [Indexed: 12/14/2022]
Abstract
Dyslexia, or specific reading disability, is a common developmental disorder that affects 5-12% of school-aged children. Dyslexia and its component phenotypes, assessed categorically or quantitatively, have complex genetic bases. The ability to rapidly name letters, numbers, and colors from rows presented visually correlates strongly with reading in multiple languages and is a valid predictor of reading and spelling impairment. Performance on measures of rapid naming and switching, RAN and RAS, is stable throughout elementary school years, with slowed performance persisting in adults who still manifest dyslexia. Targeted analyses of dyslexia candidate regions have included RAN measures, but only one other genome-wide linkage study has been reported. As part of a broad effort to identify genetic contributors to dyslexia, we performed combined oligogenic segregation and linkage analyses of measures of RAN and RAS in a family-based cohort ascertained through probands with dyslexia. We obtained strong evidence for linkage of RAN letters to the DYX3 locus on chromosome 2p and RAN colors to chromosome 10q, but were unable to confirm the chromosome 6p21 linkage detected for a composite measure of RAN colors and objects in the previous genome-wide study.
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Affiliation(s)
- Kevin Rubenstein
- Department of Biostatistics University of Washington, Seattle, WA
| | - Wendy H. Raskind
- Division of Medical Genetics, Department of Medicine University of Washington, Seattle, WA
| | | | - Mark M. Matsushita
- Division of Medical Genetics, Department of Medicine University of Washington, Seattle, WA
| | - Ellen M. Wijsman
- Department of Biostatistics University of Washington, Seattle, WA
- Division of Medical Genetics, Department of Medicine University of Washington, Seattle, WA
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10
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Jacobson LA, Ryan M, Denckla MB, Mostofsky SH, Mahone EM. Performance lapses in children with attention-deficit/hyperactivity disorder contribute to poor reading fluency. Arch Clin Neuropsychol 2013; 28:672-83. [PMID: 23838684 DOI: 10.1093/arclin/act048] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Children with Attention-Deficit/Hyperactivity Disorder (ADHD) demonstrate increased response variability compared with controls, which is thought to be associated with deficits in attention regulation and response control that subsequently affect performance of more cognitively demanding tasks, such as reading. The present study examined response variability during a computerized simple reaction time (RT) task in 67 children. Ex-Gaussian analyses separated the response time distribution into normal (mu and sigma) and exponential (tau) components; the association of each with reading fluency was examined. Children with ADHD had significantly slower, more variable, and more skewed RTs compared with controls. After controlling for ADHD symptom severity, tau (but not mu or mean RT) was significantly associated with reduced reading fluency, but not with single word reading accuracy. These data support the growing evidence that RT variability, but not simply slower mean response speed, is the characteristic of youth with ADHD and that longer response time latencies (tau) may be implicated in the poorer academic performance associated with ADHD.
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Affiliation(s)
- Lisa A Jacobson
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA
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11
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Xq27 FRAXA locus is a strong candidate for dyslexia: evidence from a genome-wide scan in French families. Behav Genet 2013; 43:132-40. [PMID: 23307483 DOI: 10.1007/s10519-012-9575-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2012] [Accepted: 12/08/2012] [Indexed: 12/11/2022]
Abstract
Dyslexia is a frequent neurodevelopmental learning disorder. To date, nine susceptibility loci have been identified, one of them being DYX9, located in Xq27. We performed the first French SNP linkage study followed by candidate gene investigation in dyslexia by studying 12 multiplex families (58 subjects) with at least two children affected, according to categorical restrictive criteria for phenotype definition. Significant results emerged on Xq27.3 within DYX9. The maximum multipoint LOD score reached 3,884 between rs12558359 and rs454992. Within this region, seven candidate genes were investigated for mutations in exonic sequences (CXORF1, CXORF51, SLITRK2, FMR1, FMR2, ASFMR1, FMR1NB), all having a role during brain development. We further looked for 5'UTR trinucleotide repeats in FMR1 and FMR2 genes. No mutation or polymorphism co-segregating with dyslexia was found. This finding in French families with Dyslexia showed significant linkage on Xq27.3 enclosing FRAXA, and consequently confirmed the DYX9 region as a robust susceptibility locus. We reduced the previously described interval from 6.8 (DXS1227-DXS8091) to 4 Mb also disclosing a higher LOD score.
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12
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Anthoni H, Sucheston LE, Lewis BA, Tapia-Páez I, Fan X, Zucchelli M, Taipale M, Stein CM, Hokkanen ME, Castrén E, Pennington BF, Smith SD, Olson RK, Tomblin JB, Schulte-Körne G, Nöthen M, Schumacher J, Müller-Myhsok B, Hoffmann P, Gilger JW, Hynd GW, Nopola-Hemmi J, Leppanen PHT, Lyytinen H, Schoumans J, Nordenskjöld M, Spencer J, Stanic D, Boon WC, Simpson E, Mäkelä S, Gustafsson JÅ, Peyrard-Janvid M, Iyengar S, Kere J. The aromatase gene CYP19A1: several genetic and functional lines of evidence supporting a role in reading, speech and language. Behav Genet 2012; 42:509-27. [PMID: 22426781 PMCID: PMC3375077 DOI: 10.1007/s10519-012-9532-3] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2011] [Accepted: 02/11/2012] [Indexed: 02/06/2023]
Abstract
Inspired by the localization, on 15q21.2 of the CYP19A1 gene in the linkage region of speech and language disorders, and a rare translocation in a dyslexic individual that was brought to our attention, we conducted a series of studies on the properties of CYP19A1 as a candidate gene for dyslexia and related conditions. The aromatase enzyme is a member of the cytochrome P450 super family, and it serves several key functions: it catalyzes the conversion of androgens into estrogens; during early mammalian development it controls the differentiation of specific brain areas (e.g. local estrogen synthesis in the hippocampus regulates synaptic plasticity and axonal growth); it is involved in sexual differentiation of the brain; and in songbirds and teleost fishes, it regulates vocalization. Our results suggest that variations in CYP19A1 are associated with dyslexia as a categorical trait and with quantitative measures of language and speech, such as reading, vocabulary, phonological processing and oral motor skills. Variations near the vicinity of its brain promoter region altered transcription factor binding, suggesting a regulatory role in CYP19A1 expression. CYP19A1 expression in human brain correlated with the expression of dyslexia susceptibility genes such as DYX1C1 and ROBO1. Aromatase-deficient mice displayed increased cortical neuronal density and occasional cortical heterotopias, also observed in Robo1-/- mice and human dyslexic brains, respectively. An aromatase inhibitor reduced dendritic growth in cultured rat neurons. From this broad set of evidence, we propose CYP19A1 as a candidate gene for human cognitive functions implicated in reading, speech and language.
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Affiliation(s)
- Heidi Anthoni
- Department of Medical Genetics, Biomedicum, University of Helsinki, 00014 Helsinki, Finland
- Neuroscience Center, University of Helsinki, 00014 Helsinki, Finland
| | - Lara E. Sucheston
- Department of Biostatistics, State University of New York at Buffalo, Buffalo, NY 14214-3000 USA
| | - Barbara A. Lewis
- Department of Psychological Sciences, Case Western Reserve University, Cleveland, OH 44106 USA
| | - Isabel Tapia-Páez
- Department of Biosciences and Nutrition, Karolinska Institutet, 141 83 Huddinge, Sweden
| | - Xiaotang Fan
- Department of Biosciences and Nutrition, Karolinska Institutet, 141 83 Huddinge, Sweden
| | - Marco Zucchelli
- Department of Biosciences and Nutrition, Karolinska Institutet, 141 83 Huddinge, Sweden
| | - Mikko Taipale
- Whitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, MA 02142-1479 USA
| | - Catherine M. Stein
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106 USA
| | | | - Eero Castrén
- Neuroscience Center, University of Helsinki, 00014 Helsinki, Finland
| | | | - Shelley D. Smith
- Munroe Meyer Institute, University of Nebraska Medical Center, Omaha, NE 68198-5450 USA
| | - Richard K. Olson
- Department of Psychology, University of Colorado, Boulder, CO USA
| | - J. Bruce Tomblin
- Department of Communication Sciences and Disorders, University of Iowa, Iowa City, IA 52242 USA
| | - Gerd Schulte-Körne
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-University of Munich, 80336 Munich, Germany
| | - Markus Nöthen
- Department of Genomics, Life and Brain Centre, University of Bonn, 53127 Bonn, Germany
- Institute of Human Genetics, Biomedical Centre, University of Bonn, 53127 Bonn, Germany
| | - Johannes Schumacher
- Institute of Human Genetics, Biomedical Centre, University of Bonn, 53127 Bonn, Germany
| | | | - Per Hoffmann
- Department of Genomics, Life and Brain Centre, University of Bonn, 53127 Bonn, Germany
- Institute of Human Genetics, Biomedical Centre, University of Bonn, 53127 Bonn, Germany
| | - Jeffrey W. Gilger
- Psychological Sciences, University of California, Merced, CA 95343 USA
| | - George W. Hynd
- Department of Psychology, College of Charleston, 66 George Street, Charleston, SC 29424 USA
| | - Jaana Nopola-Hemmi
- Division of Child Neurology, Department of Gynecology and Pediatrics, HUCH, University of Helsinki, 00014 Helsinki, Finland
| | | | - Heikki Lyytinen
- Department of Psychology, University of Jyväskylä, 40014 Jyväskylä, Finland
| | - Jacqueline Schoumans
- Department of Molecular Medicine and Surgery, Karolinska Institutet at Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Magnus Nordenskjöld
- Department of Molecular Medicine and Surgery, Karolinska Institutet at Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Jason Spencer
- Howard Florey Institute, Parkville, VIC 3010 Australia
- Department of Anatomy and Developmental Biology, Monash University, Clayton, VIC 3800 Australia
| | - Davor Stanic
- Howard Florey Institute, Parkville, VIC 3010 Australia
- Centre for Neuroscience, University of Melbourne, Parkville, VIC 3010 Australia
| | - Wah Chin Boon
- Howard Florey Institute, Parkville, VIC 3010 Australia
- Department of Anatomy and Developmental Biology, Monash University, Clayton, VIC 3800 Australia
- Centre for Neuroscience, University of Melbourne, Parkville, VIC 3010 Australia
- Prince Henry’s Institute of Medical Research, Clayton, VIC 3168 Australia
| | - Evan Simpson
- Prince Henry’s Institute of Medical Research, Clayton, VIC 3168 Australia
| | - Sari Mäkelä
- Institute of Biomedicine, University of Turku, 20014 Turku, Finland
| | - Jan-Åke Gustafsson
- Department of Biosciences and Nutrition, Karolinska Institutet, 141 83 Huddinge, Sweden
- Center for Nuclear Receptors and Cell Signaling, University of Houston, Houston, TX 77204-5056 USA
| | - Myriam Peyrard-Janvid
- Department of Biosciences and Nutrition, Karolinska Institutet, 141 83 Huddinge, Sweden
| | - Sudha Iyengar
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106 USA
| | - Juha Kere
- Department of Medical Genetics, Biomedicum, University of Helsinki, 00014 Helsinki, Finland
- Department of Biosciences and Nutrition, Karolinska Institutet, 141 83 Huddinge, Sweden
- Department of Clinical Research Center, Karolinska Institutet, 141 83 Huddinge, Sweden
- Science for Life Laboratory, Karolinska Institutet, 171 65 Solna, Sweden
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Abstract
The relationship of attention-deficit/hyperactivity disorder (ADHD) to learning disorders was reviewed and included reading disability, mathematics learning disability, and nonverbal learning disability. Genetic, neuroimaging, and neuropsychological functioning were examined for each disorder, along with a discussion of any existing literature when ADHD co-occurred with the disorder. All the disorders were found to frequently co-occur with ADHD. A review of the underlying neuroanatomic and neurofunctional data found specific structures that frequently co-occur in these disorders with others that are specific to the individual diagnosis. Aberrations in structure and/or function were found for the caudate, corpus callosum, and cerebellum, making these structures sensitive for the disorder but not specific. Suggestions for future research, particularly in relation to intervention, are provided.
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14
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Rubenstein K, Matsushita M, Berninger VW, Raskind WH, Wijsman EM. Genome scan for spelling deficits: effects of verbal IQ on models of transmission and trait gene localization. Behav Genet 2011; 41:31-42. [PMID: 20852926 PMCID: PMC3030654 DOI: 10.1007/s10519-010-9390-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2010] [Accepted: 08/26/2010] [Indexed: 02/03/2023]
Abstract
Dyslexia is a complex learning disability with evidence for a genetic basis. Strategies that may be useful for dissecting its genetic basis include the study of component phenotypes, which may simplify the underlying genetic complexity, and use of an analytic approach that accounts for the multilocus nature of the trait to guide the investigation and increase power to detect individual loci. Here we present results of a genetic analysis of spelling disability as a component phenotype. Spelling disability is informative in analysis of extended pedigrees because it persists into adulthood. We show that a small number of hypothesized loci are sufficient to explain the inheritance of the trait in our sample, and that each of these loci maps to one of four genomic regions. Individual trait models and locations are a function of whether a verbal IQ adjustment is included, suggesting mediation through both IQ-related and unrelated pathways.
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Affiliation(s)
- Kevin Rubenstein
- Department of Biostatistics, University of Washington, Box 357232, Seattle, WA, USA
| | - Mark Matsushita
- Division of Medical Genetics, Department of Medicine, University of Washington, Box 357720, Seattle, WA 98195-7720, USA
| | - Virginia W. Berninger
- Department of Educational Psychology, University of Washington, Box 353600, Seattle, WA, USA
| | - Wendy H. Raskind
- Division of Medical Genetics, Department of Medicine, University of Washington, Box 357720, Seattle, WA 98195-7720, USA, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Ellen M. Wijsman
- Division of Medical Genetics, Department of Medicine, University of Washington, Box 357720, Seattle, WA 98195-7720, USA, 4333 Brooklyn Ave, NE, Box 989460, Seattle, WA 98195-9460, USA. Department of Biostatistics, University of Washington, Seattle, WA, USA
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15
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Roeske D, Ludwig KU, Neuhoff N, Becker J, Bartling J, Bruder J, Brockschmidt FF, Warnke A, Remschmidt H, Hoffmann P, Müller-Myhsok B, Nöthen MM, Schulte-Körne G. First genome-wide association scan on neurophysiological endophenotypes points to trans-regulation effects on SLC2A3 in dyslexic children. Mol Psychiatry 2011; 16:97-107. [PMID: 19786962 DOI: 10.1038/mp.2009.102] [Citation(s) in RCA: 75] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Dyslexia is one of the most common learning disorders affecting about 5% of all school-aged children. It has been shown that event-related potential measurements reveal differences between dyslexic children and age-matched controls. This holds particularly true for mismatch negativity (MMN), which reflects automatic speech deviance processing and is altered in dyslexic children. We performed a whole-genome association analysis in 200 dyslexic children, focusing on MMN measurements. We identified rs4234898, a marker located on chromosome 4q32.1, to be significantly associated with the late MMN component. This association could be replicated in an independent second sample of 186 dyslexic children, reaching genome-wide significance in the combined sample (P = 5.14e-08). We also found an association between the late MMN component and a two-marker haplotype of rs4234898 and rs11100040, one of its neighboring single nucleotide polymorphisms (SNPs). In the combined sample, this marker combination withstands correction for multiple testing (P = 6.71e-08). Both SNPs lie in a region devoid of any protein-coding genes; however, they both show significant association with mRNA-expression levels of SLC2A3 on chromosome 12, the predominant facilitative glucose transporter in neurons. Our results suggest a possible trans-regulation effect on SLC2A3, which might lead to glucose deficits in dyslexic children and could explain their attenuated MMN in passive listening tasks.
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Affiliation(s)
- D Roeske
- Max-Planck Institute of Psychiatry, Munich, Germany
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16
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König IR, Schumacher J, Hoffmann P, Kleensang A, Ludwig KU, Grimm T, Neuhoff N, Preis M, Roeske D, Warnke A, Propping P, Remschmidt H, Nöthen MM, Ziegler A, Müller-Myhsok B, Schulte-Körne G. Mapping for dyslexia and related cognitive trait loci provides strong evidence for further risk genes on chromosome 6p21. Am J Med Genet B Neuropsychiatr Genet 2011; 156B:36-43. [PMID: 21184582 DOI: 10.1002/ajmg.b.31135] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2010] [Accepted: 09/15/2010] [Indexed: 12/27/2022]
Abstract
In a genome-wide linkage scan, we aimed at mapping risk loci for dyslexia in the German population. Our sample comprised 1,030 individuals from 246 dyslexia families which were recruited through a single-proband sib pair study design and a detailed assessment of dyslexia and related cognitive traits. We found evidence for a major dyslexia locus on chromosome 6p21. The cognitive trait rapid naming (objects/colors) produced a genome-wide significant LOD score of 5.87 (P = 1.00 × 10⁻⁷) and the implicated 6p-risk region spans around 10 Mb. Although our finding maps close to DYX2, where the dyslexia candidate genes DCDC2 and KIAA0319 have already been identified, our data point to the presence of an additional risk gene in this region and are highlighting the impact of 6p21 in dyslexia and related cognitive traits.
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Affiliation(s)
- Inke R König
- Institute of Medical Biometry and Statistics, University at Lübeck, Germany
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17
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Czamara D, Bruder J, Becker J, Bartling J, Hoffmann P, Ludwig KU, Müller-Myhsok B, Schulte-Körne G. Association of a Rare Variant with Mismatch Negativity in a Region Between KIAA0319 and DCDC2 in Dyslexia. Behav Genet 2010; 41:110-9. [PMID: 21104116 DOI: 10.1007/s10519-010-9413-6] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2010] [Accepted: 10/21/2010] [Indexed: 01/27/2023]
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18
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19
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Ludwig KU, Roeske D, Herms S, Schumacher J, Warnke A, Plume E, Neuhoff N, Bruder J, Remschmidt H, Schulte-Körne G, Müller-Myhsok B, Nöthen MM, Hoffmann P. Variation in GRIN2B contributes to weak performance in verbal short-term memory in children with dyslexia. Am J Med Genet B Neuropsychiatr Genet 2010; 153B:503-511. [PMID: 19591125 DOI: 10.1002/ajmg.b.31007] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
A multi-marker haplotype within GRIN2B, a gene coding for a subunit of the ionotropic glutamate receptor, has recently been found to be associated with variation in human memory performance [de Quervain and Papassotiropoulos, 2006]. The gene locus is located within a region that has been linked to a phonological memory phenotype in a recent genome scan in families with dyslexia [Brkanac et al., 2008]. These findings may indicate the involvement of GRIN2B in memory-related aspects of human cognition. Memory performance is one of the cognitive functions observed to be disordered in dyslexia patients. We therefore investigated whether genetic variation in GRIN2B contributes to specific quantitative measures in a German dyslexia sample by genotyping 66 SNPs in its entire genomic region. We found supportive evidence that markers in intron 3 are associated with short-term memory in dyslexia, and were able to demonstrate that this effect is even stronger when only maternal transmission is considered. These results suggest that variation within GRIN2B may contribute to the genetic background of specific cognitive processes which are correlates of the dyslexia phenotype.
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Affiliation(s)
- Kerstin U Ludwig
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany.,Institute of Human Genetics, University of Bonn, Bonn, Germany
| | | | - Stefan Herms
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany.,Institute of Human Genetics, University of Bonn, Bonn, Germany
| | | | - Andreas Warnke
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Ellen Plume
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Nina Neuhoff
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital Munich, Munich, Germany
| | - Jennifer Bruder
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital Munich, Munich, Germany
| | - Helmut Remschmidt
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Gerd Schulte-Körne
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital Munich, Munich, Germany
| | | | - Markus M Nöthen
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany.,Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Per Hoffmann
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany.,Institute of Human Genetics, University of Bonn, Bonn, Germany
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20
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Abstract
Developmental dyslexia is a highly heritable disorder with a prevalence of at least 5% in school-aged children. Linkage studies have identified numerous loci throughout the genome that are likely to harbour candidate dyslexia susceptibility genes. Association studies and the refinement of chromosomal translocation break points in individuals with dyslexia have resulted in the discovery of candidate genes at some of these loci. A key function of many of these genes is their involvement in neuronal migration. This complements anatomical abnormalities discovered in dyslexic brains, such as ectopias, that may be the result of irregular neuronal migration.
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21
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Abstract
OBJECTIVE Dyslexia-susceptibility-1-candidate-1 (DYX1C1) was the first gene associated with dyslexia. Since the original report of 2003, eight replication attempts have been published reporting discordant results. As the dyslexia community still considers the role of DYX1C1 unsettled, we explored the contribution of this gene in a sample of 366 trios of German descent. METHODS To the common four markers used in previous studies, we added two new single nucleotide polymorphisms found by resequencing both the putative regulatory and coding region of the gene in randomly selected cases and controls. As linkage disequilibrium blocks of the region were not easy to define, we approached the association problem by running a transmission disequilibrium test over sliding windows of dimension 1 to 6 on consecutive markers. The significance of this test was calculated generating the empirical distribution of the global P value by simulating the data. As our study sample had a large female proband content, we also stratified our analysis by sex. RESULTS We found statistically significant association with global corrected P value of 0.036. The three-marker haplotype G/G/G spanning rs3743205/rs3743204/rs600753 was most associated with a P value of 0.006 and odds ratio 3.7 (95% confidence interval: 1.4-9.6) in female probands. A detailed haplotype-phenotype analysis revealed that the dyslexia subphenotype short-term memory contributed mainly to the observed findings. This is in accordance with a recent short-term memory-DYX1C1 association in an independent sample of dyslexia. CONCLUSION As significant association was proved in our sample, we could also conclude that denser maps, sex information, and well-defined subphenotypes are crucial to correctly determine the contribution of DYX1C1 to dyslexia.
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22
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Further evidence for a susceptibility locus contributing to reading disability on chromosome 15q15–q21. Psychiatr Genet 2008; 18:137-42. [PMID: 18496212 DOI: 10.1097/ypg.0b013e3282fb7fc6] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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23
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Nacinovich R, Galli J, Bomba M, Filippini E, Parrinello G, Nuzzo M, Lojacono A, Motta M, Tincani A. Neuropsychological development of children born to patients with antiphospholipid syndrome. ACTA ACUST UNITED AC 2008; 59:345-51. [DOI: 10.1002/art.23311] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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24
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Plume E, Warnke A. Definition, Symptomatik, Prävalenz und Diagnostik der Lese-Rechtschreib-Störung. Monatsschr Kinderheilkd 2007. [DOI: 10.1007/s00112-007-1480-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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25
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Genetik der Lese- und Rechtschreibstörung. Monatsschr Kinderheilkd 2007. [DOI: 10.1007/s00112-007-1479-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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26
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Schulte-Körne G, Ziegler A, Deimel W, Schumacher J, Plume E, Bachmann C, Kleensang A, Propping P, Nöthen MM, Warnke A, Remschmidt H, König IR. Interrelationship and Familiality of Dyslexia Related Quantitative Measures. Ann Hum Genet 2007; 71:160-75. [PMID: 17038000 DOI: 10.1111/j.1469-1809.2006.00312.x] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Dyslexia is a complex gene-environment disorder with poorly understood etiology that affects about 5% of school-age children. Dyslexia occurs in all languages and is associated with a high level of social and psychological morbidity for the individual and their family; approximately 40-50% have persistent disability into adulthood. The core symptoms are word reading and spelling deficits, but several other cognitive components influence the core phenotype. A broad spectrum of dyslexia related phenotypes, including phonological decoding, phoneme awareness, orthographic processing, short-term memory, rapid naming and basic mathematical abilities, were investigated in large sample of 287 German dyslexia families. We explored the interrelationship between the component phenotypes using correlation and principal component analyses (PCA). In addition, we estimated familiality for phenotypes as well as for the factors suggested by PCA. The correlation between the component phenotypes varied between -0.1 and 0.7. The PCA resulted in three factors: a general dyslexia factor, a speed of processing factor and a mathematical abilities factor. The familiality estimates of single components and factors ranged between 0.25 and 0.63. Instead of analyzing single dyslexia-related components, multivariate analyses including factor analytic approaches may help in the identification of susceptibility genes.
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Affiliation(s)
- G Schulte-Körne
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
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27
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Anthoni H, Zucchelli M, Matsson H, Müller-Myhsok B, Fransson I, Schumacher J, Massinen S, Onkamo P, Warnke A, Griesemann H, Hoffmann P, Nopola-Hemmi J, Lyytinen H, Schulte-Körne G, Kere J, Nöthen MM, Peyrard-Janvid M. A locus on 2p12 containing the co-regulated MRPL19 and C2ORF3 genes is associated to dyslexia. Hum Mol Genet 2007; 16:667-77. [PMID: 17309879 DOI: 10.1093/hmg/ddm009] [Citation(s) in RCA: 89] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
DYX3, a locus for dyslexia, resides on chromosome 2p11-p15. We have refined its location on 2p12 to a 157 kb region in two rounds of linkage disequilibrium (LD) mapping in a set of Finnish families. The observed association was replicated in an independent set of 251 German families. Two overlapping risk haplotypes spanning 16 kb were identified in both sample sets separately as well as in a joint analysis. In the German sample set, the odds ratio for the most significantly associated haplotype increased with dyslexia severity from 2.2 to 5.2. The risk haplotypes are located in an intergenic region between FLJ13391 and MRPL19/C2ORF3. As no novel genes could be cloned from this region, we hypothesized that the risk haplotypes might affect long-distance regulatory elements and characterized the three known genes. MRPL19 and C2ORF3 are in strong LD and were highly co-expressed across a panel of tissues from regions of adult human brain. The expression of MRPL19 and C2ORF3, but not FLJ13391, were also correlated with the four dyslexia candidate genes identified so far (DYX1C1, ROBO1, DCDC2 and KIAA0319). Although several non-synonymous changes were identified in MRPL19 and C2ORF3, none of them significantly associated with dyslexia. However, heterozygous carriers of the risk haplotype showed significantly attenuated expression of both MRPL19 and C2ORF3, as compared with non-carriers. Analysis of C2ORF3 orthologues in four non-human primates suggested different evolutionary rates for primates when compared with the out-group. In conclusion, our data support MRPL19 and C2ORF3 as candidate susceptibility genes for DYX3.
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Affiliation(s)
- Heidi Anthoni
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
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Schumacher J, Hoffmann P, Schmäl C, Schulte-Körne G, Nöthen MM. Genetics of dyslexia: the evolving landscape. J Med Genet 2007; 44:289-97. [PMID: 17307837 PMCID: PMC2597981 DOI: 10.1136/jmg.2006.046516] [Citation(s) in RCA: 78] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Dyslexia is among the most common neurodevelopmental disorders, with a prevalence of 5-12%. At the phenotypic level, various cognitive components that enable reading and spelling and that are disturbed in affected individuals can be distinguished. Depending on the phenotype dimension investigated, inherited factors are estimated to account for up to 80%. Linkage findings in dyslexia are relatively consistent across studies in comparison to findings for other neuropsychiatric disorders. This is particularly true for chromosome regions 1p34-p36, 6p21-p22, 15q21 and 18q11. Four candidate genes have recently been identified through systematic linkage disequilibrium studies in linkage region 6p21-p22, and through cloning approaches at chromosomal breakpoints. Results indicate that a disturbance in neuronal migration is a pathological correlate of dyslexia at the functional level. This review presents a summary of the latest insights into the genetics of dyslexia and an overview of anticipated future developments.
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29
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Abstract
Dyslexia is the most common and carefully studied of the learning disabilities in school-age children. It is characterized by a marked impairment in the development of reading skills, and affects a large number of people (5-10%). Reading difficulties may also arise from poor vision, emotional problems, decreased hearing ability, and behavioral disorders, such as attention-deficit hyperactivity (ADHD). Although many areas of the brain are involved in reading, analysis of postmortem brain specimens by a variety of imaging techniques most consistently suggests that deficiency within a specific component of the language system - the phonologic module - in the temporo-parietal-occipital brain region underlies dyslexia. It is a highly familial and heritable disorder with susceptibility loci on chromosomes 1, 2, 3, 6, 11, 13, 15 and 18. Recently, four candidate genes (KIAA 0319, DYX1C1, DCDC2 and ROBO1) are shown to be associated with dyslexia. Although some of these results are controversial because of the genetic heterogeneity of the disorder, the available evidence suggests that dyslexia could be due to the abnormal migration and maturation of neurons during early development. Interestingly, in spite of genetic heterogeneity, the pathology appears to involve common phonological coding deficits. The condition can be managed by a highly structured educational training exercise.
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Affiliation(s)
- Barkur S Shastry
- Department of Biological Sciences, Oakland University, Rochester, MI, 48309, USA.
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30
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Schulte-Körne G, Warnke A, Remschmidt H. Zur Genetik der Lese-Rechtschreibschwäche. ZEITSCHRIFT FUR KINDER-UND JUGENDPSYCHIATRIE UND PSYCHOTHERAPIE 2006; 34:435-44. [PMID: 17094062 DOI: 10.1024/1422-4917.34.6.435] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Zusammenfassung: Die Lese-Rechtschreibstörung (LRS) ist eine der häufigsten Entwicklungsstörungen. Die Ursachen dieser komplexen Störung sind bisher nur kaum verstanden. Familienuntersuchungen zeigen, dass die LRS familiär gehäuft auftritt und dass das Risiko für ein Geschwisterkind, eine LRS zu entwickeln, ca. 3,5fach erhöht ist. Verschiedene kognitive Fähigkeiten sind mit der LRS korreliert. Hierzu gehören die phonologische Bewusstheit, orthographisches Wissen, phonologisches Dekodieren, auditives Kurzzeitgedächtnis und schnelles Benennen. Eine familiäre Häufung dieser mit der LRS korrelierten Dimensionen und eine hohe Erblichkeit (Heritabilität) wurden wiederholt gefunden. Die Heritabilität für die Lesefähigkeit liegt zwischen 50-60%, für die Rechtschreibstörung zwischen 50 und 70%. Durch genomweite Kopplungsuntersuchungen wurden bisher 9 Kandidatengenregionen (DYX1-9) identifiziert. Vier Kandidatengene, DCDC2, KIAA0319, ROBO1 und DYX1C1 wurden kürzlich beschrieben. Diese beeinflussen die neuronale Migration und sind daher funktionell aussichtsreiche Kandidatengene für die LRS. Allerdings konnte bisher keine funktionell relevante Mutation gefunden werden. Die Komorbidität zwischen LRS und ADHD sowie LRS und Sprachentwicklungsstörungen könnte zum Teil durch gemeinsame genetische Faktoren erklärt werden. In der Zukunft wird es für die Ursachenforschung der LRS entscheidend sein, möglichst alle ursachenrelevanten Dimensionen gemeinsam an ausreichend großen Stichproben zu untersuchen. Neben den relevanten neurobiologischen Faktoren sollten auch Umweltfaktoren und die verschiedenen Interaktionen, wie z.B. Gen-Umwelt und Gen-Gen-Interaktionen untersucht werden. In einem europäischen, kollaborativen Forschungsvorhaben (NeuroDys) wird weltweit die größte Stichprobe von Kindern mit einer LRS gesammelt und untersucht, um durch ein verbessertes Ursachenverständnis unter Einschluss der Identifikation von genetischen Risikofaktoren die Komplexität des Störungsbildes besser zu verstehen und perspektivisch spezifische Therapien zu entwickeln.
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Affiliation(s)
- Gerd Schulte-Körne
- 1 Klinik für Kinder- und Jugendpsychiatrie, Psychosomatik und Psychotherapie, Klinikum der Universität München, Pettenkoferstrasse 8a, DE-80336 München
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31
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Schumacher J, Anthoni H, Dahdouh F, König IR, Hillmer AM, Kluck N, Manthey M, Plume E, Warnke A, Remschmidt H, Hülsmann J, Cichon S, Lindgren CM, Propping P, Zucchelli M, Ziegler A, Peyrard-Janvid M, Schulte-Körne G, Nöthen MM, Kere J. Strong genetic evidence of DCDC2 as a susceptibility gene for dyslexia. Am J Hum Genet 2006; 78:52-62. [PMID: 16385449 PMCID: PMC1380223 DOI: 10.1086/498992] [Citation(s) in RCA: 185] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2005] [Accepted: 10/07/2005] [Indexed: 11/03/2022] Open
Abstract
We searched for linkage disequilibrium (LD) in 137 triads with dyslexia, using markers that span the most-replicated dyslexia susceptibility region on 6p21-p22, and found association between the disease and markers within the VMP/DCDC2/KAAG1 locus. Detailed refinement of the LD region, involving sequencing and genotyping of additional markers, showed significant association within DCDC2 in single-marker and haplotype analyses. The association appeared to be strongest in severely affected patients. In a second step, the study was extended to include an independent sample of 239 triads with dyslexia, in which the association--in particular, with the severe phenotype of dyslexia--was confirmed. Our expression data showed that DCDC2, which contains a doublecortin homology domain that is possibly involved in cortical neuron migration, is expressed in the fetal and adult CNS, which--together with the hypothesized protein function--is in accordance with findings in dyslexic patients with abnormal neuronal migration and maturation.
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32
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Schumacher J, König IR, Plume E, Propping P, Warnke A, Manthey M, Duell M, Kleensang A, Repsilber D, Preis M, Remschmidt H, Ziegler A, Nöthen MM, Schulte-Körne G. Linkage analyses of chromosomal region 18p11-q12 in dyslexia. J Neural Transm (Vienna) 2005; 113:417-23. [PMID: 16075186 DOI: 10.1007/s00702-005-0336-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2005] [Accepted: 05/14/2005] [Indexed: 11/28/2022]
Abstract
Dyslexia is characterized as a significant impairment in reading and spelling ability that cannot be explained by low intelligence, low school attendance or deficits in sensory acuity. It is known to be a hereditary disorder that affects about 5% of school aged children, making it the most common of childhood learning disorders. Several susceptibility loci have been reported on chromosomes 1, 2, 3, 6, 15, and 18. The locus on chromosome 18 has been described as having the strongest influence on single word reading, phoneme awareness, and orthographic coding in the largest genome wide linkage study published to date (Fisher et al., 2002). Here we present data from 82 German families in order to investigate linkage of various dyslexia-related traits to the previously described region on chromosome 18p11-q12. Using two- and multipoint analyses, we did not find support for linkage of spelling, single word reading, phoneme awareness, orthographic coding and rapid naming to any of the 14 genotyped STR markers. Possible explanations for our non-replication include differences in study design, limited power of our study and overestimation of the effect of the chromosome 18 locus in the original study.
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