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Wolf M, Gotlieb RJM, Kim SA, Pedroza V, Rhinehart LV, Tempini MLG, Sears S. Towards a dynamic, comprehensive conceptualization of dyslexia. ANNALS OF DYSLEXIA 2024; 74:303-324. [PMID: 38217783 PMCID: PMC11413046 DOI: 10.1007/s11881-023-00297-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 12/19/2023] [Indexed: 01/15/2024]
Abstract
Here we build from the central strength of the existing definition of dyslexia-its emphasis on neurobiological origins-and proffer a set of seven core principles for a new, more comprehensive conceptualization of dyslexia. These principles derive from two major research directions: (1) the still evolving history of attempts to explain dyslexia, including in varied writing systems; and (2) the study of the reading brain circuit, its development, and its genetic and environmental influences. What emerges from connecting these two directions is a dynamic conceptualization of dyslexia that incorporates the extensive research on the heterogeneity of dyslexia and the interdependent contributions of multiple biological and socio-cultural risk and preventive factors. A new definition of dyslexia, therefore, needs to transcend both past unitary characterizations and past assumptions based largely on the English orthography. Such a conceptualization references the ways that different languages interact with the reading brain circuit to produce different sources of reading failure. Similarly, the characteristics and consequences of dyslexia that have been considered as secondary sequela (e.g., reduced reading comprehension, social-emotional issues) should be part of a more comprehensive narrative. Of critical importance, any definition of dyslexia should clarify persisting misconceptions that associate dyslexia with a lack of intelligence, potential to learn, or talents. Thus, the overall purpose of such a definition should serve as an instrument of knowledge and an enduring reason for pursuing growth in reading for the individual, the educator, and the public.
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Affiliation(s)
- Maryanne Wolf
- Department of Education, University of California, Moore Hall 2123, 405 Hilgard Avenue, Los Angeles, CA, 90095-1521, USA.
| | - Rebecca J M Gotlieb
- Department of Education, University of California, Moore Hall 2123, 405 Hilgard Avenue, Los Angeles, CA, 90095-1521, USA
| | - Sohyun An Kim
- Department of Education, University of California, Moore Hall 2123, 405 Hilgard Avenue, Los Angeles, CA, 90095-1521, USA
| | - Veronica Pedroza
- Department of Education, University of California, Moore Hall 2123, 405 Hilgard Avenue, Los Angeles, CA, 90095-1521, USA
| | - Laura V Rhinehart
- Department of Education, University of California, Moore Hall 2123, 405 Hilgard Avenue, Los Angeles, CA, 90095-1521, USA
| | | | - Sue Sears
- Michael D. Eisner College of Education, California State University, Northridge, USA
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Mascheretti S, Arrigoni F, Toraldo A, Giubergia A, Andreola C, Villa M, Lampis V, Giorda R, Villa M, Peruzzo D. Alterations in neural activation in the ventral frontoparietal network during complex magnocellular stimuli in developmental dyslexia associated with READ1 deletion. BEHAVIORAL AND BRAIN FUNCTIONS : BBF 2024; 20:16. [PMID: 38926731 PMCID: PMC11210179 DOI: 10.1186/s12993-024-00241-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 06/11/2024] [Indexed: 06/28/2024]
Abstract
BACKGROUND An intronic deletion within intron 2 of the DCDC2 gene encompassing the entire READ1 (hereafter, READ1d) has been associated in both children with developmental dyslexia (DD) and typical readers (TRs), with interindividual variation in reading performance and motion perception as well as with structural and functional brain alterations. Visual motion perception -- specifically processed by the magnocellular (M) stream -- has been reported to be a solid and reliable endophenotype of DD. Hence, we predicted that READ1d should affect neural activations in brain regions sensitive to M stream demands as reading proficiency changes. METHODS We investigated neural activations during two M-eliciting fMRI visual tasks (full-field sinusoidal gratings controlled for spatial and temporal frequencies and luminance contrast, and sensitivity to motion coherence at 6%, 15% and 40% dot coherence levels) in four subject groups: children with DD with/without READ1d, and TRs with/without READ1d. RESULTS At the Bonferroni-corrected level of significance, reading skills showed a significant effect in the right polar frontal cortex during the full-field sinusoidal gratings-M task. Regardless of the presence/absence of the READ1d, subjects with poor reading proficiency showed hyperactivation in this region of interest (ROI) compared to subjects with better reading scores. Moreover, a significant interaction was found between READ1d and reading performance in the left frontal opercular area 4 during the 15% coherent motion sensitivity task. Among subjects with poor reading performance, neural activation in this ROI during this specific task was higher for subjects without READ1d than for READ1d carriers. The difference vanished as reading skills increased. CONCLUSIONS Our findings showed a READ1d-moderated genetic vulnerability to alterations in neural activation in the ventral attentive and salient networks during the processing of relevant stimuli in subjects with poor reading proficiency.
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Affiliation(s)
- Sara Mascheretti
- Department of Brain and Behavioral Sciences, University of Pavia, Piazza Botta, 6, Pavia (PV), 27100, PV, Italy.
- Child Psychopathology Unit, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy.
| | - Filippo Arrigoni
- Radiology and Neuroradiology Department, Children's Hospital V. Buzzi, Milan, Italy
| | - Alessio Toraldo
- Department of Brain and Behavioral Sciences, University of Pavia, Piazza Botta, 6, Pavia (PV), 27100, PV, Italy
- Milan Centre for Neuroscience (NeuroMI), Milan, Italy
| | - Alice Giubergia
- Neuroimaging Unit, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
| | | | - Martina Villa
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
- The Connecticut Institute for Brain and Cognitive Sciences, University of Connecticut, Storrs, CT, USA
- Yale Child Study Center Language Sciences Consortium, New Haven, CT, USA
| | - Valentina Lampis
- Department of Brain and Behavioral Sciences, University of Pavia, Piazza Botta, 6, Pavia (PV), 27100, PV, Italy
- Child Psychopathology Unit, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
| | - Roberto Giorda
- Molecular Biology Laboratory, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
| | - Marco Villa
- Molecular Biology Laboratory, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
| | - Denis Peruzzo
- Neuroimaging Unit, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
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Yang Q, Cheng C, Wang Z, Zhang X, Zhao J. Interaction between Risk Single-Nucleotide Polymorphisms of Developmental Dyslexia and Parental Education on Reading Ability: Evidence for Differential Susceptibility Theory. Behav Sci (Basel) 2024; 14:507. [PMID: 38920839 PMCID: PMC11201191 DOI: 10.3390/bs14060507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 06/11/2024] [Accepted: 06/13/2024] [Indexed: 06/27/2024] Open
Abstract
While genetic and environmental factors have been shown as predictors of children's reading ability, the interaction effects of identified genetic risk susceptibility and the specified environment for reading ability have rarely been investigated. The current study assessed potential gene-environment (G×E) interactions on reading ability in 1477 school-aged children. The gene-environment interactions on character recognition were investigated by an exploratory analysis between the risk single-nucleotide polymorphisms (SNPs), which were discovered by previous genome-wide association studies of developmental dyslexia (DD), and parental education (PE). The re-parameterized regression analysis suggested that this G×E interaction conformed to the strong differential susceptibility model. The results showed that rs281238 exhibits a significant interaction with PE on character recognition. Children with the "T" genotype profited from high PE, whereas they performed worse in low PE environments, but "CC" genotype children were not malleable in different PE environments. This study provided initial evidence for how the significant SNPs in developmental dyslexia GWA studies affect children's reading performance by interacting with the environmental factor of parental education.
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Affiliation(s)
| | | | | | | | - Jingjing Zhao
- School of Psychology, Shaanxi Normal University, 199 South Chang’an Road, Xi’an 710062, China; (Q.Y.); (C.C.); (Z.W.); (X.Z.)
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Abín A, Pasarín-Lavín T, Areces D, Rodríguez C, Núñez JC. The Emotional Impact of Family Involvement during Homework in Children with Neurodevelopmental Disorders: A Systematic Review. CHILDREN (BASEL, SWITZERLAND) 2024; 11:713. [PMID: 38929292 PMCID: PMC11202244 DOI: 10.3390/children11060713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 05/26/2024] [Accepted: 06/07/2024] [Indexed: 06/28/2024]
Abstract
Neurodevelopmental disorders can be studied from two distinct perspectives: an internal approach, which examines the causes and consequences of these disorders; and a contextual approach, which considers the role of the family in the lives of children and adolescents. Research has demonstrated that the most significant form of family involvement in families raising a child with NDD is through homework. This involvement has been shown to have an emotional impact on children with neurodevelopmental disorders such as ADHD or dyslexia. The objective of this study is to review published articles on homework and neurodevelopmental disorders, with particular attention to the role of the family and the emotional health of children and families. METHOD The review followed the PRISMA guidelines. The final sample consisted of 11 articles, with samples ranging from less than 30 participants to more than 100 at the international level. RESULTS The results demonstrate the complex methodological and bibliometric picture of the final sample, as well as the many emotional and contextual variables that influence the relationship between homework and neurodevelopmental disorders. CONCLUSIONS Future research should consider how emotional health affects the engagement of families with children with neurodevelopmental disorders.
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Affiliation(s)
| | | | | | | | - José Carlos Núñez
- Department of Psychology, University of Oviedo, 33003 Oviedo, Spain; (A.A.); (T.P.-L.); (D.A.); (C.R.)
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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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Bonte M, Brem S. Unraveling individual differences in learning potential: A dynamic framework for the case of reading development. Dev Cogn Neurosci 2024; 66:101362. [PMID: 38447471 PMCID: PMC10925938 DOI: 10.1016/j.dcn.2024.101362] [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: 07/06/2023] [Revised: 02/02/2024] [Accepted: 03/01/2024] [Indexed: 03/08/2024] Open
Abstract
Children show an enormous capacity to learn during development, but with large individual differences in the time course and trajectory of learning and the achieved skill level. Recent progress in developmental sciences has shown the contribution of a multitude of factors including genetic variation, brain plasticity, socio-cultural context and learning experiences to individual development. These factors interact in a complex manner, producing children's idiosyncratic and heterogeneous learning paths. Despite an increasing recognition of these intricate dynamics, current research on the development of culturally acquired skills such as reading still has a typical focus on snapshots of children's performance at discrete points in time. Here we argue that this 'static' approach is often insufficient and limits advancements in the prediction and mechanistic understanding of individual differences in learning capacity. We present a dynamic framework which highlights the importance of capturing short-term trajectories during learning across multiple stages and processes as a proxy for long-term development on the example of reading. This framework will help explain relevant variability in children's learning paths and outcomes and fosters new perspectives and approaches to study how children develop and learn.
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Affiliation(s)
- Milene Bonte
- Department of Cognitive Neuroscience and Maastricht Brain Imaging Center, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands.
| | - Silvia Brem
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Switzerland; URPP Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland
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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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Slaby RJ, Arrington CN, Malins J, Sevcik RA, Pugh KR, Morris R. Properties of white matter tract diffusivity in children with developmental dyslexia and comorbid attention deficit/hyperactivity disorder. J Neurodev Disord 2023; 15:25. [PMID: 37550628 PMCID: PMC10408076 DOI: 10.1186/s11689-023-09495-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 07/11/2023] [Indexed: 08/09/2023] Open
Abstract
BACKGROUND Developmental dyslexia (DD) and attention deficit/hyperactivity disorder (ADHD) are highly comorbid neurodevelopmental disorders. Individuals with DD or ADHD have both been shown to have deficits in white matter tracts associated with reading and attentional control networks. However, white matter diffusivity in individuals comorbid with both DD and ADHD (DD + ADHD) has not been specifically explored. METHODS Participants were 3rd and 4th graders (age range = 7 to 11 years; SD = 0.69) from three diagnostic groups ((DD (n = 40), DD + ADHD (n = 22), and typical developing (TD) (n = 20)). Behavioral measures of reading and attention alongside measures of white matter diffusivity were collected for all participants. RESULTS DD + ADHD and TD groups differed in mean fractional anisotropy (FA) for the left and right Superior Longitudinal Fasciculus (SLF)-Parietal Terminations and SLF-Temporal Terminations. Mean FA for the DD group across these SLF tracts fell between the lower DD + ADHD and higher TD averages. No differences in mean diffusivity nor significant brain-behavior relations were found. CONCLUSIONS Findings suggest that WM diffusivity in the SLF increases along a continuum across DD + ADHD, DD, and TD.
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Affiliation(s)
- Ryan J Slaby
- Department of Psychology, Georgia State University, 140 Decatur St SE, Atlanta, GA, 30303, USA
- GSU/Georgia Tech Center for Advanced Brain Imaging, 831 Marietta St NW, Atlanta, GA, 30318, USA
- Department of Psychology, University of Milano-Bicocca, Piazza Dell' Ateneo Nuovo,1, 20126, Milan, Italy
| | - C Nikki Arrington
- Department of Psychology, Georgia State University, 140 Decatur St SE, Atlanta, GA, 30303, USA.
- GSU/Georgia Tech Center for Advanced Brain Imaging, 831 Marietta St NW, Atlanta, GA, 30318, USA.
- Georgia State University, Center for Translational Research in Neuroimaging and Data Science, 55 Park Place, 18th Floor, Atlanta, GA, 30303, USA.
| | - Jeffrey Malins
- Department of Psychology, Georgia State University, 140 Decatur St SE, Atlanta, GA, 30303, USA
- GSU/Georgia Tech Center for Advanced Brain Imaging, 831 Marietta St NW, Atlanta, GA, 30318, USA
| | - Rose A Sevcik
- Department of Psychology, Georgia State University, 140 Decatur St SE, Atlanta, GA, 30303, USA
| | - Kenneth R Pugh
- Yale University, Haskins Laboratories, 300 George Street, Suite 900, New Haven, CT, 06511, USA
| | - Robin Morris
- Department of Psychology, Georgia State University, 140 Decatur St SE, Atlanta, GA, 30303, USA
- GSU/Georgia Tech Center for Advanced Brain Imaging, 831 Marietta St NW, Atlanta, GA, 30318, USA
- Georgia State University, Center for Translational Research in Neuroimaging and Data Science, 55 Park Place, 18th Floor, Atlanta, GA, 30303, USA
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Zhao J, Yang Q, Cheng C, Wang Z. Cumulative genetic score of KIAA0319 affects reading ability in Chinese children: moderation by parental education and mediation by rapid automatized naming. BEHAVIORAL AND BRAIN FUNCTIONS : BBF 2023; 19:10. [PMID: 37259151 DOI: 10.1186/s12993-023-00212-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 05/19/2023] [Indexed: 06/02/2023]
Abstract
KIAA0319, a well-studied candidate gene, has been shown to be associated with reading ability and developmental dyslexia. In the present study, we investigated whether KIAA0319 affects reading ability by interacting with the parental education level and whether rapid automatized naming (RAN), phonological awareness and morphological awareness mediate the relationship between KIAA0319 and reading ability. A total of 2284 Chinese children from primary school grades 3 and 6 participated in this study. Chinese character reading accuracy and word reading fluency were used as measures of reading abilities. The cumulative genetic risk score (CGS) of 13 SNPs in KIAA0319 was calculated. Results revealed interaction effect between CGS of KIAA0319 and parental education level on reading fluency. The interaction effect suggested that individuals with a low CGS of KIAA0319 were better at reading fluency in a positive environment (higher parental educational level) than individuals with a high CGS. Moreover, the interaction effect coincided with the differential susceptibility model. The results of the multiple mediator model revealed that RAN mediates the impact of the genetic cumulative effect of KIAA0319 on reading abilities. These findings provide evidence that KIAA0319 is a risk vulnerability gene that interacts with environmental factor to impact reading abilities and demonstrate the reliability of RAN as an endophenotype between genes and reading associations.
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Affiliation(s)
- Jingjing Zhao
- School of Psychology, Shaanxi Normal University and Shaanxi Provincial Key Research Center of Child Mental and Behavioral Health, Yanta District, 199 South Chang'an Road, Xi'an, 710062, China.
| | - Qing Yang
- School of Psychology, Shaanxi Normal University and Shaanxi Provincial Key Research Center of Child Mental and Behavioral Health, Yanta District, 199 South Chang'an Road, Xi'an, 710062, China
| | - Chen Cheng
- School of Psychology, Shaanxi Normal University and Shaanxi Provincial Key Research Center of Child Mental and Behavioral Health, Yanta District, 199 South Chang'an Road, Xi'an, 710062, China
| | - Zhengjun Wang
- School of Psychology, Shaanxi Normal University and Shaanxi Provincial Key Research Center of Child Mental and Behavioral Health, Yanta District, 199 South Chang'an Road, Xi'an, 710062, China.
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Xiao P, Zhu K, Feng Y, Jiang Q, Xiang Z, Zhang Q, Wu X, Fan Y, Zou L, Xiao H, Song R. Associations between dyslexia and children's mental health: Findings from a follow-up study in China. Psychiatry Res 2023; 324:115188. [PMID: 37054554 DOI: 10.1016/j.psychres.2023.115188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 03/27/2023] [Accepted: 03/31/2023] [Indexed: 04/15/2023]
Abstract
Dyslexia is a common learning difficulty that can lead to adverse health outcomes and socioeconomic difficulties. Evidence from longitudinal studies on the association between dyslexia and psychological symptoms in children is limited. Moreover, the psychological trends of children with dyslexia are unclear. In this study, we enrolled 2,056 students in Grades 2 to 5, including 61 dyslexic children, who participated in three mental health surveys and dyslexia screening. All the children were surveyed for symptoms of stress, anxiety and depression. We used generalized estimating equation models to estimate changes in psychological symptoms of children with dyslexia over time and the association between dyslexia and psychological symptoms. The results showed that dyslexia was associated with stress and depressive symptoms in children in both crude (β = 3.27, 95% confidence interval [CI] [1.89∼4.65], β=1.20, 95%CI: [0.45∼1.94], respectively) and adjusted models (β = 3.32, 95%CI: [1.87∼4.77], β=1.31, 95%CI: [0.52∼2.10], respectively). In addition, we found no significant differences in the emotional status of dyslexic children in either survey. Dyslexic children are at risk for mental health issues, and persistent emotional symptoms. Therefore, interventions regarding not only reading ability but also psychological conditions should be pursued.
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Affiliation(s)
- Pei Xiao
- Department of Maternal and Child Health and MOE Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kaiheng Zhu
- Department of Maternal and Child Health and MOE Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanan Feng
- Department of Maternal and Child Health and MOE Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Jiang
- Department of Maternal and Child Health and MOE Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhen Xiang
- Department of Maternal and Child Health and MOE Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Quan Zhang
- Department of Maternal and Child Health and MOE Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xufang Wu
- Department of Maternal and Child Health and MOE Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yixi Fan
- Department of Maternal and Child Health and MOE Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Zou
- Department of Child Healthcare, Shenzhen Baoan Women's and Children's Hospital, Jinan University, Shenzhen, China
| | - Han Xiao
- Institute of Maternal and Child Health, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Ranran Song
- Department of Maternal and Child Health and MOE Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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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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Investigation of the forkhead box protein P2 gene by the next-generation sequence analysis method in children diagnosed with specific learning disorder. Psychiatr Genet 2023; 33:8-19. [PMID: 36617742 DOI: 10.1097/ypg.0000000000000326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
OBJECTIVE It was aimed to investigate the role of the forkhead box protein P2 (FOXP2) gene in the cause of specific learning disorder (SLD) with the next-generation sequencing method. MATERIAL AND METHODS The study included 52 children diagnosed with SLD and 46 children as control between the ages of 6-12 years. Interview Schedule for Affective Disorders and Schizophrenia for School-Age Children, Present and Lifelong Version in Turkish, Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV)-Based Screening and Evaluation Scale for Attention Deficit and Disruptive Behavior Disorders, Specific Learning Disability Test Battery were applied to all participants. The FOXP2 gene was screened by the next-generation sequencing (NGS) method in all participants. RESULTS A total of 17 variations were detected in the FOXP2 gene in participants. The number and diversity of variations were higher in the patient group. In the patient group, c.1914 + 8A>T heterozygous variation and three different types of heterozygous variation (13insT, 13delT and 4dup) in the c.1770 region were detected. It was found that the detected variations showed significant relationships with the reading phenotypes determined by the test battery. CONCLUSION It was found that FOXP2 variations were seen more frequently in the patient group. Some of the detected variations might be related to the clinical phenotype of SLD and variations found in previous studies from different countries were not seen in Turkish population. Our study is the first to evaluate the role of FOXP2 gene variations in children with SLD in Turkish population, and novel variations in the related gene were detected.
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Kalashnikova TP, Satyukova MO, Anisimov GV, Karakulova YV. [Genetic background of dyslexia and dysgraphy in children]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:48-52. [PMID: 37315241 DOI: 10.17116/jnevro202312305148] [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: 06/16/2023]
Abstract
The review is devoted to one of the current problems of pediatric neurology - reading and writing disorders in children as part of a partial developmental disorder. With the development of neuroscience, the paradigm of «brain damage» in the understanding of a number of pathological conditions was replaced by the concept of «evolutionary neurology». The dominance of the ontogenetic approach caused the appearance of a new section in ICD-11 - «Neurodevelopmental disorders». Twenty-one genes associated with the acquisition of reading and writing skills have been identified. Modern studies demonstrate the connection of neuropsychological prerequisites for reading and writing, and clinical phenotypes of dyslexia with changes in specific loci. It is assumed that there are different molecular genetic bases for dyslexia and dysgraphia depending on ethnicity, orthographic features of language, including logographic features. Pleiotropy of genes is a cause of comorbidity of reading and writing disorders with attention deficit and hyperactivity disorder, specific speech articulation disorders, and dyscalculia. A key function of many of the identified genes is their involvement in the processes of neurogenesis. Their dysfunctions cause atypical neuronal migration, ectopic formation, inadequate axonal growth, and dendrite branching at the early stage of brain development. Morphological changes can distort the correct distribution and/or integration of linguistic stimuli in critical brain areas, leading to abnormalities in phonology, semantics, spelling, and general reading comprehension. The knowledge gained can form the basis for the development of risk models for dysgraphia and dyslexia formation and be used as a diagnostic and/or screening tool, which is important for evidence-based correction, optimization of academic performance, and mitigation of psychosocial consequences.
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Affiliation(s)
| | | | - G V Anisimov
- First Medico-Pedagogical Center «Lingua Bona», Perm, Russia
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Ramasubramanian B, Reddy VS, Chellappan V, Ramakrishna S. Emerging Materials, Wearables, and Diagnostic Advancements in Therapeutic Treatment of Brain Diseases. BIOSENSORS 2022; 12:1176. [PMID: 36551143 PMCID: PMC9775999 DOI: 10.3390/bios12121176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/07/2022] [Accepted: 12/07/2022] [Indexed: 06/17/2023]
Abstract
Among the most critical health issues, brain illnesses, such as neurodegenerative conditions and tumors, lower quality of life and have a significant economic impact. Implantable technology and nano-drug carriers have enormous promise for cerebral brain activity sensing and regulated therapeutic application in the treatment and detection of brain illnesses. Flexible materials are chosen for implantable devices because they help reduce biomechanical mismatch between the implanted device and brain tissue. Additionally, implanted biodegradable devices might lessen any autoimmune negative effects. The onerous subsequent operation for removing the implanted device is further lessened with biodegradability. This review expands on current developments in diagnostic technologies such as magnetic resonance imaging, computed tomography, mass spectroscopy, infrared spectroscopy, angiography, and electroencephalogram while providing an overview of prevalent brain diseases. As far as we are aware, there hasn't been a single review article that addresses all the prevalent brain illnesses. The reviewer also looks into the prospects for the future and offers suggestions for the direction of future developments in the treatment of brain diseases.
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Affiliation(s)
- Brindha Ramasubramanian
- Department of Mechanical Engineering, Center for Nanofibers & Nanotechnology, National University of Singapore, Singapore 117574, Singapore
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), #08-03, 2 Fusionopolis Way, Innovis, Singapore 138634, Singapore
| | - Vundrala Sumedha Reddy
- Department of Mechanical Engineering, Center for Nanofibers & Nanotechnology, National University of Singapore, Singapore 117574, Singapore
| | - Vijila Chellappan
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), #08-03, 2 Fusionopolis Way, Innovis, Singapore 138634, Singapore
| | - Seeram Ramakrishna
- Department of Mechanical Engineering, Center for Nanofibers & Nanotechnology, National University of Singapore, Singapore 117574, Singapore
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15
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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: 6] [Impact Index Per Article: 3.0] [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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16
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Doust C, Fontanillas P, Eising E, Gordon SD, Wang Z, Alagöz G, Molz B, Pourcain BS, Francks C, Marioni RE, Zhao J, Paracchini S, Talcott JB, Monaco AP, Stein JF, Gruen JR, Olson RK, Willcutt EG, DeFries JC, Pennington BF, Smith SD, Wright MJ, Martin NG, Auton A, Bates TC, Fisher SE, Luciano M. Discovery of 42 genome-wide significant loci associated with dyslexia. Nat Genet 2022; 54:1621-1629. [PMID: 36266505 PMCID: PMC9649434 DOI: 10.1038/s41588-022-01192-y] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Accepted: 08/23/2022] [Indexed: 12/11/2022]
Abstract
Reading and writing are crucial life skills but roughly one in ten children are affected by dyslexia, which can persist into adulthood. Family studies of dyslexia suggest heritability up to 70%, yet few convincing genetic markers have been found. Here we performed a genome-wide association study of 51,800 adults self-reporting a dyslexia diagnosis and 1,087,070 controls and identified 42 independent genome-wide significant loci: 15 in genes linked to cognitive ability/educational attainment, and 27 new and potentially more specific to dyslexia. We validated 23 loci (13 new) in independent cohorts of Chinese and European ancestry. Genetic etiology of dyslexia was similar between sexes, and genetic covariance with many traits was found, including ambidexterity, but not neuroanatomical measures of language-related circuitry. Dyslexia polygenic scores explained up to 6% of variance in reading traits, and might in future contribute to earlier identification and remediation of dyslexia.
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Affiliation(s)
- Catherine Doust
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | | | - Else Eising
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Scott D Gordon
- Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Zhengjun Wang
- School of Psychology, Shaanxi Normal University and Shaanxi Key Research Center of Child Mental and Behavioral Health, Xi'an, China
| | - Gökberk Alagöz
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Barbara Molz
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | | | | | - Beate St Pourcain
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Clyde Francks
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Jingjing Zhao
- School of Psychology, Shaanxi Normal University and Shaanxi Key Research Center of Child Mental and Behavioral Health, Xi'an, China
| | | | - Joel B Talcott
- Institute of Health and Neurodevelopment, Aston University, Birmingham, UK
| | | | - John F Stein
- Department of Physiology, Anatomy and Genetics, Oxford University, Oxford, UK
| | - Jeffrey R Gruen
- Departments of Pediatrics and Genetics, Yale Medical School, New Haven, CT, USA
| | - Richard K Olson
- Department of Psychology and Neuroscience, University of Colorado, Boulder, CO, USA
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
| | - Erik G Willcutt
- Department of Psychology and Neuroscience, University of Colorado, Boulder, CO, USA
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
| | - John C DeFries
- Department of Psychology and Neuroscience, University of Colorado, Boulder, CO, USA
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
| | | | - Shelley D Smith
- Department of Neurological Sciences, College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Nicholas G Martin
- Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - Timothy C Bates
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - 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
| | - Michelle Luciano
- Department of Psychology, University of Edinburgh, Edinburgh, UK.
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17
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Dobrosavljevic M, Fazel S, Du Rietz E, Li L, Zhang L, Chang Z, Jernberg T, Faraone SV, Jendle J, Chen Q, Brikell I, Larsson H. Risk prediction model for cardiovascular diseases in adults initiating pharmacological treatment for attention-deficit/hyperactivity disorder. EVIDENCE-BASED MENTAL HEALTH 2022; 25:185-190. [PMID: 36396339 PMCID: PMC9685689 DOI: 10.1136/ebmental-2022-300492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 08/22/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND Available prediction models of cardiovascular diseases (CVDs) may not accurately predict outcomes among individuals initiating pharmacological treatment for attention-deficit/hyperactivity disorder (ADHD). OBJECTIVE To improve the predictive accuracy of traditional CVD risk factors for adults initiating pharmacological treatment of ADHD, by considering novel CVD risk factors associated with ADHD (comorbid psychiatric disorders, sociodemographic factors and psychotropic medication). METHODS The cohort composed of 24 186 adults residing in Sweden without previous CVDs, born between 1932 and 1990, who started pharmacological treatment of ADHD between 2008 and 2011, and were followed for up to 2 years. CVDs were identified using diagnoses according to the International Classification of Diseases, and dispended medication prescriptions from Swedish national registers. Cox proportional hazards regression was employed to derive the prediction model. FINDINGS The developed model included eight traditional and four novel CVD risk factors. The model showed acceptable overall discrimination (C index=0.72, 95% CI 0.70 to 0.74) and calibration (Brier score=0.008). The Integrated Discrimination Improvement index showed a significant improvement after adding novel risk factors (0.003 (95% CI 0.001 to 0.007), p<0.001). CONCLUSIONS The inclusion of the novel CVD risk factors may provide a better prediction of CVDs in this population compared with traditional CVD predictors only, when the model is used with a continuous risk score. External validation studies and studies assessing clinical impact of the model are warranted. CLINICAL IMPLICATIONS Individuals initiating pharmacological treatment of ADHD at higher risk of developing CVDs should be more closely monitored.
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Affiliation(s)
| | - Seena Fazel
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Ebba Du Rietz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Lin Li
- School of Medical Sciences, Örebro University, Örebro, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Le Zhang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Zheng Chang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Tomas Jernberg
- Department of Clinical Sciences, Danderyd University Hospital, Stockholm, Sweden
| | - Stephen V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York, USA
| | - Johan Jendle
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Qi Chen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Isabell Brikell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Larsson
- School of Medical Sciences, Örebro University, Örebro, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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18
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Ligges C, Lehmann T. Multiple Case Studies in German Children with Dyslexia: Characterization of Phonological, Auditory, Visual, and Cerebellar Processing on the Group and Individual Levels. Brain Sci 2022; 12:1292. [PMID: 36291226 PMCID: PMC9599942 DOI: 10.3390/brainsci12101292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND The underlying mechanisms of dyslexia are still debated. The question remains as to whether there is evidence of a predominant type of deficit or whether it is a multideficit disorder with individual profiles. The assumptions of which mechanism causes the disorder influences the selection of the training approach. METHODS A sample of German neurotypical reading children (NT) and children with dyslexia (DYSL) was investigated with a comprehensive behavioral test battery assessing phonological, auditory, visual, and cerebellar performance, thus addressing performance described in three major theories in dyslexia. RESULTS In the present sample using the test battery of the present study, DYSL had the strongest impairment in phonological and auditory processing, accompanied by individual processing deficits in cerebellar performance, but only a few in the investigated visual domains. Phonological awareness and auditory performance were the only significant predictors for reading ability. CONCLUSION These findings point out that those reading difficulties were associated with phonological as well as auditory processing deficits in the present sample. Future research should investigate individual deficit profiles longitudinally, with studies starting before literacy acquisition at as many processing domains as possible. These individual deficit profiles should then be used to select appropriate interventions to promote reading and spelling.
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Affiliation(s)
- Carolin Ligges
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Friedrich Schiller University Jena, 07743 Jena, Germany
| | - Thomas Lehmann
- Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, Friedrich Schiller University Jena, 07743 Jena, Germany
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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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20
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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: 37] [Impact Index Per Article: 18.5] [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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21
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Peter B, Davis J, Finestack L, Stoel-Gammon C, VanDam M, Bruce L, Kim Y, Eng L, Cotter S, Landis E, Beames S, Scherer N, Knerr I, Williams D, Schrock C, Potter N. Translating principles of precision medicine into speech-language pathology: Clinical trial of a proactive speech and language intervention for infants with classic galactosemia. HGG ADVANCES 2022; 3:100119. [PMID: 35677809 PMCID: PMC9168611 DOI: 10.1016/j.xhgg.2022.100119] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 05/16/2022] [Indexed: 11/18/2022] Open
Abstract
Precision medicine is an emerging approach to managing disease by taking into consideration an individual's genetic and environmental profile toward two avenues to improved outcomes: prevention and personalized treatments. This framework is largely geared to conditions conventionally falling into the field of medical genetics. Here, we show that the same avenues to improving outcomes can be applied to conditions in the field of behavior genomics, specifically disorders of spoken language. Babble Boot Camp (BBC) is the first comprehensive and personalized program designed to proactively mitigate speech and language disorders in infants at predictable risk by fostering precursor and early communication skills via parent training. The intervention begins at child age 2 to 5 months and ends at age 24 months, with follow-up testing at 30, 42, and 54 months. To date, 44 children with a newborn diagnosis of classic galactosemia (CG) have participated in the clinical trial of BBC. CG is an inborn error of metabolism of genetic etiology that predisposes up to 85% of children to severe speech and language disorders. Of 13 children with CG who completed the intervention and all or part of the follow-up testing, only one had disordered speech and none had disordered language skills. For the treated children who completed more than one assessment, typical speech and language skills were maintained over time. This shows that knowledge of genetic risk at birth can be leveraged toward proactive and personalized management of a disorder that manifests behaviorally.
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Affiliation(s)
- Beate Peter
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Jennifer Davis
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Lizbeth Finestack
- Speech-Language-Hearing Sciences, University of Minnesota, Minneapolis, MN, USA
| | | | - Mark VanDam
- Speech and Hearing Sciences, Washington State University, Spokane, WA, USA
| | - Laurel Bruce
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Yookyung Kim
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Linda Eng
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Sarah Cotter
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Emily Landis
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Sam Beames
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Nancy Scherer
- College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Ina Knerr
- National Centre for Inherited Metabolic Disorders, Children’s Health Ireland at Temple Street, Dublin, Ireland
| | - Delaney Williams
- Speech and Hearing Sciences, Washington State University, Spokane, WA, USA
| | - Claire Schrock
- Speech and Hearing Sciences, Washington State University, Spokane, WA, USA
| | - Nancy Potter
- Speech and Hearing Sciences, Washington State University, Spokane, WA, USA
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22
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Wu Y, Cheng Y, Yang X, Yu W, Wan Y. Dyslexia: A Bibliometric and Visualization Analysis. Front Public Health 2022; 10:915053. [PMID: 35812514 PMCID: PMC9260156 DOI: 10.3389/fpubh.2022.915053] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 05/24/2022] [Indexed: 12/04/2022] Open
Abstract
Dyslexia is a disorder characterized by an impaired ability to understand written and printed words or phrases. Epidemiological longitudinal data show that dyslexia is highly prevalent, affecting 10-20% of the population regardless of gender. This study aims to provide a detailed overview of research status and development characteristics of dyslexia from types of articles, years, countries, institutions, journals, authors, author keywords, and highly cited papers. A total of 9,166 publications have been retrieved from the Social Sciences Citation Index (SSCI) and Science Citation Index Expanded (SCI-E) from 2000 to 2021. The United States of America, United Kingdom, and Germany were the top three most productive countries in terms of the number of publications. China, Israel, and Japan led the Asia research on dyslexia. University of Oxford had the most publications and won first place in terms of h-index. Dyslexia was the most productive journal in this field and Psychology was the most used subject category. Keywords analysis indicated that "developmental dyslexia," "phonological awareness," children and fMRI were still the main research topics. "Literacy," "rapid automatized naming (RAN)," "assessment," "intervention," "meta-analysis," "Chinese," "executive function," "morphological awareness," "decoding," "dyscalculia," "EEG," "Eye tracking," "rhythm," "bilingualism," and "functional connectivity" might become the new research hotspots.
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Affiliation(s)
- Yanqi Wu
- Institute of Information Resource, Zhejiang University of Technology, Hangzhou, China
- Library, Zhejiang University of Technology, Hangzhou, China
| | - Yanxia Cheng
- Institute of Information Resource, Zhejiang University of Technology, Hangzhou, China
- Library, Zhejiang University of Technology, Hangzhou, China
| | - Xianlin Yang
- Institute of Information Resource, Zhejiang University of Technology, Hangzhou, China
- Library, Zhejiang University of Technology, Hangzhou, China
| | - Wenyan Yu
- Library, Zhejiang University of Technology, Hangzhou, China
| | - Yuehua Wan
- Institute of Information Resource, Zhejiang University of Technology, Hangzhou, China
- Library, Zhejiang University of Technology, Hangzhou, China
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23
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Mountford HS, Braden R, Newbury DF, Morgan AT. The Genetic and Molecular Basis of Developmental Language Disorder: A Review. CHILDREN (BASEL, SWITZERLAND) 2022; 9:586. [PMID: 35626763 PMCID: PMC9139417 DOI: 10.3390/children9050586] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/28/2022] [Accepted: 04/12/2022] [Indexed: 01/05/2023]
Abstract
Language disorders are highly heritable and are influenced by complex interactions between genetic and environmental factors. Despite more than twenty years of research, we still lack critical understanding of the biological underpinnings of language. This review provides an overview of the genetic landscape of developmental language disorders (DLD), with an emphasis on the importance of defining the specific features (the phenotype) of DLD to inform gene discovery. We review the specific phenotype of DLD in the genetic literature, and the influence of historic variation in diagnostic inclusion criteria on researchers' ability to compare and replicate genotype-phenotype studies. This review provides an overview of the recently identified gene pathways in populations with DLD and explores current state-of-the-art approaches to genetic analysis based on the hypothesised architecture of DLD. We will show how recent global efforts to unify diagnostic criteria have vastly increased sample size and allow for large multi-cohort metanalyses, leading the identification of a growing number of contributory loci. We emphasise the important role of estimating the genetic architecture of DLD to decipher underlying genetic associations. Finally, we explore the potential for epigenetics and environmental interactions to further unravel the biological basis of language disorders.
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Affiliation(s)
- Hayley S. Mountford
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford OX3 0BP, UK; (H.S.M.); (D.F.N.)
| | - Ruth Braden
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Melbourne 3052, Australia;
| | - Dianne F. Newbury
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford OX3 0BP, UK; (H.S.M.); (D.F.N.)
| | - Angela T. Morgan
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Melbourne 3052, Australia;
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24
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Astle DE, Holmes J, Kievit R, Gathercole SE. Annual Research Review: The transdiagnostic revolution in neurodevelopmental disorders. J Child Psychol Psychiatry 2022; 63:397-417. [PMID: 34296774 DOI: 10.1111/jcpp.13481] [Citation(s) in RCA: 90] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/04/2021] [Indexed: 12/11/2022]
Abstract
Practitioners frequently use diagnostic criteria to identify children with neurodevelopmental disorders and to guide intervention decisions. These criteria also provide the organising framework for much of the research focussing on these disorders. Study design, recruitment, analysis and theory are largely built on the assumption that diagnostic criteria reflect an underlying reality. However, there is growing concern that this assumption may not be a valid and that an alternative transdiagnostic approach may better serve our understanding of this large heterogeneous population of young people. This review draws on important developments over the past decade that have set the stage for much-needed breakthroughs in understanding neurodevelopmental disorders. We evaluate contemporary approaches to study design and recruitment, review the use of data-driven methods to characterise cognition, behaviour and neurobiology, and consider what alternative transdiagnostic models could mean for children and families. This review concludes that an overreliance on ill-fitting diagnostic criteria is impeding progress towards identifying the barriers that children encounter, understanding underpinning mechanisms and finding the best route to supporting them.
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Affiliation(s)
- Duncan E Astle
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Joni Holmes
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Rogier Kievit
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Susan E Gathercole
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.,Department of Psychiatry, University of Cambridge, Cambridge, UK
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25
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Xiao P, Zhu K, Liu Q, Xie X, Jiang Q, Feng Y, Wu X, Tang J, Song R. Association between developmental dyslexia and anxiety/depressive symptoms among children in China: The chain mediating of time spent on homework and stress. J Affect Disord 2022; 297:495-501. [PMID: 34743962 DOI: 10.1016/j.jad.2021.10.120] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/21/2021] [Accepted: 10/25/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND The relationship between dyslexia and anxiety/depressive symptoms among children in China is unclear. Besides, the pathways to explain the risks are also undefined. METHODS 3993 primary school students from grade 2 to 6 were recruited in this study. The Dyslexia Checklist for Chinese Children and the Pupil Rating Scale-Revised Screening for Learning Disabilities were used to filter the dyslexic children. The Chinese perceived stress scale, the Screen for Child Anxiety Related Emotional Disorders, and the Children's Depression Inventory-Short Form were used separately to assess stress, anxiety symptoms, and depressive symptoms of the children. Time spent on homework was obtained by asking their parents: "How long does it take the children to complete the homework every day?". The chain mediation models were examined using SPSS PROCESS macro 3.3 software. RESULTS Dyslexic children spend more time on homework (2.61±1.15), and have higher scores for depression (4.75±3.60) and stress (26.55±7.40) compared to normal children (1.87±0.77, 3.25±3.32, and 23.20±8.43, respectively). The differences are statistically significant (all P<0.01). There is no direct association between dyslexia and anxiety symptoms, while dyslexia has a direct link with depressive symptoms. Dyslexia could affect anxiety/depressive symptoms via the independent mediating effect of stress and the chain mediating effect of time spent on homework and stress. The total indirect effect is 0.21 and 0.25, respectively. LIMITATIONS The data used in our study is self-reported and this is a cross-sectional study. CONCLUSIONS Time spent on homework and stress could mediate the association between dyslexia and anxiety/depressive symptoms.
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Affiliation(s)
- Pei Xiao
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kaiheng Zhu
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Liu
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xinyan Xie
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Jiang
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanan Feng
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoqian Wu
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Tang
- Department of Children's Rehabilitation, Wuhan Psychology Hospital, Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Ranran Song
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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26
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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: 23] [Impact Index Per Article: 7.7] [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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27
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Nudel R, Appadurai V, Buil A, Nordentoft M, Werge T. Pleiotropy between language impairment and broader behavioral disorders-an investigation of both common and rare genetic variants. J Neurodev Disord 2021; 13:54. [PMID: 34773992 PMCID: PMC8590378 DOI: 10.1186/s11689-021-09403-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 10/22/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Language plays a major role in human behavior. For this reason, neurodevelopmental and psychiatric disorders in which linguistic ability is impaired could have a big impact on the individual's social interaction and general wellbeing. Such disorders tend to have a strong genetic component, but most past studies examined mostly the linguistic overlaps across these disorders; investigations into their genetic overlaps are limited. The aim of this study was to assess the potential genetic overlap between language impairment and broader behavioral disorders employing methods capturing both common and rare genetic variants. METHODS We employ polygenic risk scores (PRS) trained on specific language impairment (SLI) to evaluate genetic overlap across several disorders in a large case-cohort sample comprising ~13,000 autism spectrum disorder (ASD) cases, including cases of childhood autism and Asperger's syndrome, ~15,000 attention deficit/hyperactivity disorder (ADHD) cases, ~3000 schizophrenia cases, and ~21,000 population controls. We also examine rare variants in SLI/language-related genes in a subset of the sample that was exome-sequenced using the SKAT-O method. RESULTS We find that there is little evidence for genetic overlap between SLI and ADHD, schizophrenia, and ASD, the latter being in line with results of linguistic analyses in past studies. However, we observe a small, significant genetic overlap between SLI and childhood autism specifically, which we do not observe for SLI and Asperger's syndrome. Moreover, we observe that childhood autism cases have significantly higher SLI-trained PRS compared to Asperger's syndrome cases; these results correspond well to the linguistic profiles of both disorders. Our rare variant analyses provide suggestive evidence of association for specific genes with ASD, childhood autism, and schizophrenia. CONCLUSIONS Our study provides, for the first time, to our knowledge, genetic evidence for ASD subtypes based on risk variants for language impairment.
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Affiliation(s)
- Ron Nudel
- Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- CORE - Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Vivek Appadurai
- Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
| | - Alfonso Buil
- Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- CORE - Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Thomas Werge
- Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark.
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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28
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Terkelsen T, Brasch-Andersen C, Illum N, Busa T, Missirian C, Chandler K, Holden ST, Jensen UB, Fagerberg CR. Mono-allelic loss of YTHDF3 and neurodevelopmental disorder: clinical features of four individuals with 8q12.3 deletions. Clin Genet 2021; 101:208-213. [PMID: 34708403 DOI: 10.1111/cge.14083] [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] [Received: 09/07/2021] [Revised: 10/08/2021] [Accepted: 10/25/2021] [Indexed: 01/22/2023]
Abstract
The YTH domain family member 3 gene (YTHDF3) encodes a reader of the abundant N6-methyladenosine (m6 A) modification of eukaryotic mRNA, which plays an essential role in regulating mRNA stability and is necessary to achieve normal development of the central nervous system in animal models. YTHDF3 has not previously been implicated in Mendelian disease despite a high probability of loss of function intolerance and statistical evidence of enrichment for gene-disruptive de novo variants in large-scale studies of individuals with intellectual disability and/or developmental delay. We report four individuals with deletion of 8q12.3, deletion size 1.38-2.60 Mb, encompassing YTHDF3, three of them were de novo, and in one case, the inheritance was unknown. Common features of the individuals (age range, 4-22 years) were developmental delay and/or intellectual disability. Two individuals underwent squint surgery. We suggest that haploinsufficiency of YTHDF3 causes a neurodevelopmental disorder with developmental delay and intellectual disability of variable degree.
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Affiliation(s)
- Thorkild Terkelsen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.,Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark
| | - Charlotte Brasch-Andersen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.,Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Niels Illum
- H. C. Andersen Children's Hospital, Odense University Hospital, Odense, Denmark
| | - Tiffany Busa
- Département de Génétique Médicale, CHU de Marseille-Hôpital de la Timone, Marseille, France
| | - Chantal Missirian
- Département de Génétique Médicale, CHU de Marseille-Hôpital de la Timone, Marseille, France
| | - Kate Chandler
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Simon T Holden
- Department of Clinical Genetics, Addenbrooke's Hospital, Cambridge, UK
| | - Uffe Birk Jensen
- Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark
| | - Christina R Fagerberg
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.,Affiliated Member of European Reference Network, ERN-ITHACA
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29
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Animal models of developmental dyslexia: Where we are and what we are missing. Neurosci Biobehav Rev 2021; 131:1180-1197. [PMID: 34699847 DOI: 10.1016/j.neubiorev.2021.10.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/20/2021] [Accepted: 10/22/2021] [Indexed: 12/21/2022]
Abstract
Developmental dyslexia (DD) is a complex neurodevelopmental disorder and the most common learning disability among both school-aged children and across languages. Recently, sensory and cognitive mechanisms have been reported to be potential endophenotypes (EPs) for DD, and nine DD-candidate genes have been identified. Animal models have been used to investigate the etiopathological pathways that underlie the development of complex traits, as they enable the effects of genetic and/or environmental manipulations to be evaluated. Animal research designs have also been linked to cutting-edge clinical research questions by capitalizing on the use of EPs. For the present scoping review, we reviewed previous studies of murine models investigating the effects of DD-candidate genes. Moreover, we highlighted the use of animal models as an innovative way to unravel new insights behind the pathophysiology of reading (dis)ability and to assess cutting-edge preclinical models.
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30
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Brikell I, Burton C, Mota NR, Martin J. Insights into attention-deficit/hyperactivity disorder from recent genetic studies. Psychol Med 2021; 51:2274-2286. [PMID: 33814023 DOI: 10.1017/s0033291721000982] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a common and highly heritable neurodevelopmental disorder (NDD). In this narrative review, we summarize recent advances in quantitative and molecular genetic research from the past 5-10 years. Combined with large-scale international collaboration, these advances have resulted in fast-paced progress in understanding the etiology of ADHD and how genetic risk factors map on to clinical heterogeneity. Studies are converging on a number of key insights. First, ADHD is a highly polygenic NDD with a complex genetic architecture encompassing risk variants across the spectrum of allelic frequencies, which are implicated in neurobiological processes. Second, genetic studies strongly suggest that ADHD diagnosis shares a large proportion of genetic risks with continuously distributed traits of ADHD in the population, with shared genetic risks also seen across development and sex. Third, ADHD genetic risks are shared with those implicated in many other neurodevelopmental, psychiatric and somatic phenotypes. As sample sizes and the diversity of genetic studies continue to increase through international collaborative efforts, we anticipate further success with gene discovery, characterization of how the ADHD phenotype relates to other human traits and growing potential to use genomic risk factors for understanding clinical trajectories and for precision medicine approaches.
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Affiliation(s)
- Isabell Brikell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark
| | - Christie Burton
- Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Canada
| | - Nina Roth Mota
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Joanna Martin
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
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31
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Ronald A, de Bode N, Polderman TJC. Systematic Review: How the Attention-Deficit/Hyperactivity Disorder Polygenic Risk Score Adds to Our Understanding of ADHD and Associated Traits. J Am Acad Child Adolesc Psychiatry 2021; 60:1234-1277. [PMID: 33548493 PMCID: PMC11164195 DOI: 10.1016/j.jaac.2021.01.019] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 01/04/2021] [Accepted: 01/28/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To investigate, by systematically reviewing the literature, whether the attention-deficit/hyperactivity disorder (ADHD) polygenic risk score (PRS) associates with ADHD and related traits in independent clinical and population samples. METHOD PubMed, Embase and PsychoInfo were systematically searched, alongside study bibliographies. Quality assessments were conducted, and a best-evidence synthesis was applied. Studies were excluded when the predictor was not based on the latest ADHD genome-wide association study, when PRS was not based on genome-wide results, or when the study was a review. Initially, 197 studies were retrieved (February 22, 2020), and a second search (June 3, 2020) yielded a further 49 studies. From both searches, 57 studies were eligible, and 44 studies met inclusion criteria. RESULTS Included studies were published in the last 3 years. Over 80% of the studies were rated excellent, based on a standardized quality assessment. Evidence of associations between ADHD PRS and the following categories was strong: ADHD, ADHD traits, brain structure, education, externalizing behaviors, neuropsychological constructs, physical health, and socioeconomic status. Evidence for associations with addiction, autism, and mental health were mixed and were, so far, inconclusive. Odds ratios for PRS associating with ADHD ranged from 1.22% to 1.76%; variance explained in dimensional assessments of ADHD traits was 0.7% to 3.3%. CONCLUSION A new wave of high-quality research using the ADHD PRS has emerged. Eventually, symptoms may be partly identified based on PRS, but the current ADHD PRS is useful for research purposes only. This review shows that the ADHD PRS is robust and reliable, associating not only with ADHD but many outcomes and challenges known to be linked to ADHD.
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Affiliation(s)
| | - Nora de Bode
- Vrije Universiteit Amsterdam, the Netherlands, and Amsterdam UMC, the Netherlands
| | - Tinca J C Polderman
- Vrije Universiteit Amsterdam, the Netherlands, and Amsterdam UMC, the Netherlands.
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32
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Abstract
Around the world, about 10% people prefer using their left-hand. What leads to this fixed proportion across populations and what determines left versus right preference at an individual level is far from being established. Genetic studies are a tool to answer these questions. Analysis in twins and family show that about 25% of handedness variance is due to genetics. In spite of very large cohorts, only a small fraction of this genetic component can be pinpoint to specific genes. Some of the genetic associations identified so far provide evidence for shared biology contributing to both handedness and cerebral asymmetries. In addition, they demonstrate that handedness is a highly polygenic trait. Typically, handedness is measured as the preferred hand for writing. This is a very convenient measure, especially to reach large sample sizes, but quantitative measures might capture different handedness dimensions and be better suited for genetic analyses. This paper reviews the latest findings from molecular genetic studies as well as the implications of using different ways of assessing handedness.
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33
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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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34
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Benchek P, Igo RP, Voss-Hoynes H, Wren Y, Miller G, Truitt B, Zhang W, Osterman M, Freebairn L, Tag J, Taylor HG, Chan ER, Roussos P, Lewis B, Stein CM, Iyengar SK. Association between genes regulating neural pathways for quantitative traits of speech and language disorders. NPJ Genom Med 2021; 6:64. [PMID: 34315907 PMCID: PMC8316336 DOI: 10.1038/s41525-021-00225-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 06/22/2021] [Indexed: 02/06/2023] Open
Abstract
Speech sound disorders (SSD) manifest as difficulties in phonological memory and awareness, oral motor function, language, vocabulary, reading, and spelling. Families enriched for SSD are rare, and typically display a cluster of deficits. We conducted a genome-wide association study (GWAS) in 435 children from 148 families in the Cleveland Family Speech and Reading study (CFSRS), examining 16 variables representing 6 domains. Replication was conducted using the Avon Longitudinal Study of Parents and Children (ALSPAC). We identified 18 significant loci (combined p < 10-8) that we pursued bioinformatically. We prioritized 5 novel gene regions with likely functional repercussions on neural pathways, including those which colocalized with differentially methylated regions in our sample. Polygenic risk scores for receptive language, expressive vocabulary, phonological awareness, phonological memory, spelling, and reading decoding associated with increasing clinical severity. In summary, neural-genetic influence on SSD is primarily multigenic and acts on genomic regulatory elements, similar to other neurodevelopmental disorders.
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Affiliation(s)
- Penelope Benchek
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Robert P Igo
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Heather Voss-Hoynes
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Yvonne Wren
- Bristol Dental School, Faculty of Health Sciences, University of Bristol, and Bristol Speech and Language Therapy Research Unit, North Bristol NHS Trust, Bristol, UK
| | - Gabrielle Miller
- Department of Psychological Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Barbara Truitt
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Wen Zhang
- Department of Psychiatry, Friedman Brain Institute, and Department of Genetics and Genomic Science and Institute for Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michael Osterman
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Lisa Freebairn
- Department of Psychological Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Jessica Tag
- Department of Psychological Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - H Gerry Taylor
- Department of Pediatrics, Case Western Reserve University, and Rainbow Babies & Children's Hospital, University Hospital Case Medical Center, Cleveland, OH, USA
- Nationwide Children's Hospital Research Institute and Department of Pediatrics, The Ohio State University, Columbus, OH, USA
| | - E Ricky Chan
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Panos Roussos
- Department of Psychiatry, Friedman Brain Institute, and Department of Genetics and Genomic Science and Institute for Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, NY, USA
| | - Barbara Lewis
- Department of Psychological Sciences, Case Western Reserve University, Cleveland, OH, USA
- Cleveland Hearing and Speech Center, Cleveland, OH, USA
| | - Catherine M Stein
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
| | - Sudha K Iyengar
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
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35
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Gialluisi A, Andlauer TFM, Mirza-Schreiber N, Moll K, Becker J, Hoffmann P, Ludwig KU, Czamara D, Pourcain BS, Honbolygó F, Tóth D, Csépe V, Huguet G, Chaix Y, Iannuzzi S, Demonet JF, Morris AP, Hulslander J, Willcutt EG, DeFries JC, Olson RK, Smith SD, Pennington BF, Vaessen A, Maurer U, Lyytinen H, Peyrard-Janvid M, Leppänen PHT, Brandeis D, Bonte M, Stein JF, Talcott JB, Fauchereau F, Wilcke A, Kirsten H, Müller B, Francks C, Bourgeron T, Monaco AP, Ramus F, Landerl K, Kere J, Scerri TS, Paracchini S, Fisher SE, Schumacher J, Nöthen MM, Müller-Myhsok B, Schulte-Körne G. 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: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [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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Affiliation(s)
- Alessandro Gialluisi
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Department of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Italy
| | - Till F M Andlauer
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Nazanin Mirza-Schreiber
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Kristina Moll
- Department of Child and Adolescent Psychiatry, Psychosomatic, and Psychotherapy, Ludwig-Maximilians University, Munich, Germany
| | - Jessica Becker
- Department of Genomics, Life and Brain Center, Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Per Hoffmann
- Department of Genomics, Life and Brain Center, Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Kerstin U Ludwig
- Department of Genomics, Life and Brain Center, Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Beate St Pourcain
- Language and Genetics Department, Max Planck Institute for Psycholinguistics and Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Ferenc Honbolygó
- Brain Imaging Centre, Research Centre of Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary
| | - Dénes Tóth
- Brain Imaging Centre, Research Centre of Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary
| | - Valéria Csépe
- Brain Imaging Centre, Research Centre of Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary
| | - Guillaume Huguet
- Human Genetics and Cognitive Functions Unit, Institut Pasteur and University Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Yves Chaix
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
- Children's Hospital, Purpan University Hospital, Toulouse, France
| | | | - Jean-Francois Demonet
- Leenaards Memory Centre, Department of Clinical Neurosciences Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland
| | - Andrew P Morris
- Department of Biostatistics, University of Liverpool, Liverpool, UK
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Jacqueline Hulslander
- Institute for Behavioral Genetics and Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Erik G Willcutt
- Institute for Behavioral Genetics and Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - John C DeFries
- Institute for Behavioral Genetics and Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Richard K Olson
- Institute for Behavioral Genetics and Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Shelley D Smith
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Bruce F Pennington
- Developmental Neuropsychology Lab and Clinic, Department of Psychology, University of Denver, Denver, CO, USA
| | - Anniek Vaessen
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience and Maastricht Brain Imaging Center (M-BIC), Maastricht University, Maastricht, The Netherlands
| | - Urs Maurer
- Department of Psychology, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong
| | - Heikki Lyytinen
- Centre for Research on Learning and Teaching, Department of Psychology, University of Jyväskylä, Jyväskylä, Finland
| | | | - Paavo H T Leppänen
- Centre for Research on Learning and Teaching, Department of Psychology, University of Jyväskylä, Jyväskylä, Finland
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology (ZIHP), University of Zurich and ETH Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Milene Bonte
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience and Maastricht Brain Imaging Center (M-BIC), Maastricht University, Maastricht, The Netherlands
| | - John F Stein
- Department of Physiology, University of Oxford, Oxford, UK
| | - Joel B Talcott
- School of Life and Health Sciences, Aston University, Birmingham, UK
| | - Fabien Fauchereau
- Human Genetics and Cognitive Functions Unit, Institut Pasteur and University Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Arndt Wilcke
- Cognitive Genetics Unit, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany
| | - Holger Kirsten
- Cognitive Genetics Unit, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany
- Institute for Medical Informatics, Statistics and Epidemiology and LIFE-Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Bent Müller
- Cognitive Genetics Unit, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany
| | - Clyde Francks
- Language and Genetics Department, Max Planck Institute for Psycholinguistics and Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Thomas Bourgeron
- Human Genetics and Cognitive Functions Unit, Institut Pasteur and University Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Anthony P Monaco
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Tufts University, Medford, MA, USA
| | - Franck Ramus
- Laboratoire de Sciences Cognitives et Psycholinguistique, Ecole Normale Supérieure, CNRS, EHESS, PSL University, Paris, France
| | - Karin Landerl
- Institute of Psychology, University of Graz and BioTechMed, Graz, Austria
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
- Stem Cells and Metabolism Research Program, Biomedicum, Folkhälsan Institute of Genetics, University of Helsinki, Helsinki, Finland
| | - Thomas S Scerri
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- The Walter and Eliza Hall Institute of Medical Research, Melbourne University, Melbourne, VIC, Australia
| | | | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics and Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Johannes Schumacher
- Department of Genomics, Life and Brain Center, Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Markus M Nöthen
- Department of Genomics, Life and Brain Center, Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Bertram Müller-Myhsok
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
- Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
| | - Gerd Schulte-Körne
- Department of Child and Adolescent Psychiatry, Psychosomatic, and Psychotherapy, Ludwig-Maximilians University, Munich, Germany.
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36
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Söderlund GBW, Åsberg Johnels J, Rothén B, Torstensson-Hultberg E, Magnusson A, Fälth L. Sensory white noise improves reading skills and memory recall in children with reading disability. Brain Behav 2021; 11:e02114. [PMID: 34096202 PMCID: PMC8323032 DOI: 10.1002/brb3.2114] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 02/28/2021] [Accepted: 03/01/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Reading disability (RD) is characterized by slow and inaccurate word reading development, commonly reflecting underlying phonological problems. We have previously shown that exposure to white noise acutely improves cognitive performance in children with ADHD. The question addressed here is whether white noise exposure yields positive outcomes also for RD. There are theoretical reasons to expect such a possibility: a) RD and ADHD are two overlapping neurodevelopmental disorders and b) since prior research on white noise benefits has suggested that a central mechanism might be the phenomenon of stochastic resonance, then adding certain kinds of white noise might strengthen the signal-to-noise ratio during phonological processing and phoneme-grapheme mapping. METHODS The study was conducted with a group of 30 children with RD and phonological decoding difficulties and two comparison groups: one consisting of skilled readers (n = 22) and another of children with mild orthographic reading problems and age adequate phonological decoding (n = 30). White noise was presented experimentally in visual and auditory modalities, while the children performed tests of single word reading, orthographic word recognition, nonword reading, and memory recall. RESULTS For the first time, we show that visual and auditory white noise exposure improves some reading and memory capacities "on the fly" in children with RD and phonological decoding difficulties. By contrast, the comparison groups displayed either no benefit or a gradual decrease in performance with increasing noise. In interviews, we also found that the white noise exposure was tolerable or even preferred by many children. CONCLUSION These novel findings suggest that poor readers with phonological decoding difficulties may be immediately helped by white noise during reading. Future research is needed to determine the robustness, mechanisms, and long-term practical implications of the white noise benefits in children with reading disabilities.
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Affiliation(s)
- Göran B W Söderlund
- Faculty of Teacher Education Arts and Sports, Western Norway University of Applied Sciences, Sogndal, Norway.,Department of Education and Special Education, University of Gothenburg, Gothenburg, Sweden
| | - Jakob Åsberg Johnels
- Speech and Language Pathology Unit & the Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, Silvia Children's Hospital, University of Gothenburg & The Child Neuropsychiatric Clinic, Gothenburg, Sweden
| | - Bodil Rothén
- Department of Pedagogy and Learning, Linnaeus University, Växjö, Sweden
| | | | - Andreas Magnusson
- Complex Adaptive Systems, Chalmers University of Technology, Gothenburg, Sweden
| | - Linda Fälth
- Department of Pedagogy and Learning, Linnaeus University, Växjö, Sweden
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37
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Schmitz J, Abbondanza F, Paracchini S. Genome-wide association study and polygenic risk score analysis for hearing measures in children. Am J Med Genet B Neuropsychiatr Genet 2021; 186:318-328. [PMID: 34476894 DOI: 10.1002/ajmg.b.32873] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 06/11/2021] [Accepted: 08/10/2021] [Indexed: 01/04/2023]
Abstract
An efficient auditory system contributes to cognitive and psychosocial development. A right ear advantage in hearing thresholds (HTs) has been described in adults and atypical patterns of left/right hearing threshold asymmetry (HTA) have been described for psychiatric and neurodevelopmental conditions. Previous genome-wide association studies (GWASs) on HT have mainly been conducted in elderly participants whose hearing is more likely to be affected by external environmental factors. Here, we investigated HT and HTA in a children population cohort (ALSPAC, n = 6,743). Better hearing was associated with better cognitive performance and higher socioeconomic status. At the group level, HTA suggested a left ear advantage (mean = -0.28 dB) that was mainly driven by females. SNP heritability for HT and HTA was 0.13 and 0.02, respectively (n = 4,989). We found a modest negative genetic correlation between HT and reading ability. GWAS for HT (n = 5,344) did not yield significant hits but polygenic risk scores for higher educational attainment (EA, ß = -1,564.72, p = .008) and schizophrenia (ß = -241.14, p = .004) were associated with lower HT, that is, better hearing. In summary, we report new data supporting associations between hearing measures and cognitive abilities at the behavioral level. Genetic analysis suggests shared biological pathways between cognitive and sensory systems and provides evidence for a positive outcome of genetic risk for schizophrenia.
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Affiliation(s)
- Judith Schmitz
- School of Medicine, University of St Andrews, St Andrews, UK
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38
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Gialluisi A, Reccia MG, Modugno N, Nutile T, Lombardi A, Di Giovannantonio LG, Pietracupa S, Ruggiero D, Scala S, Gambardella S, Iacoviello L, Gianfrancesco F, Acampora D, D’Esposito M, Simeone A, Ciullo M, Esposito T. Identification of sixteen novel candidate genes for late onset Parkinson's disease. Mol Neurodegener 2021; 16:35. [PMID: 34148545 PMCID: PMC8215754 DOI: 10.1186/s13024-021-00455-2] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 05/06/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Parkinson's disease (PD) is a neurodegenerative movement disorder affecting 1-5% of the general population for which neither effective cure nor early diagnostic tools are available that could tackle the pathology in the early phase. Here we report a multi-stage procedure to identify candidate genes likely involved in the etiopathogenesis of PD. METHODS The study includes a discovery stage based on the analysis of whole exome data from 26 dominant late onset PD families, a validation analysis performed on 1542 independent PD patients and 706 controls from different cohorts and the assessment of polygenic variants load in the Italian cohort (394 unrelated patients and 203 controls). RESULTS Family-based approach identified 28 disrupting variants in 26 candidate genes for PD including PARK2, PINK1, DJ-1(PARK7), LRRK2, HTRA2, FBXO7, EIF4G1, DNAJC6, DNAJC13, SNCAIP, AIMP2, CHMP1A, GIPC1, HMOX2, HSPA8, IMMT, KIF21B, KIF24, MAN2C1, RHOT2, SLC25A39, SPTBN1, TMEM175, TOMM22, TVP23A and ZSCAN21. Sixteen of them have not been associated to PD before, were expressed in mesencephalon and were involved in pathways potentially deregulated in PD. Mutation analysis in independent cohorts disclosed a significant excess of highly deleterious variants in cases (p = 0.0001), supporting their role in PD. Moreover, we demonstrated that the co-inheritance of multiple rare variants (≥ 2) in the 26 genes may predict PD occurrence in about 20% of patients, both familial and sporadic cases, with high specificity (> 93%; p = 4.4 × 10- 5). Moreover, our data highlight the fact that the genetic landmarks of late onset PD does not systematically differ between sporadic and familial forms, especially in the case of small nuclear families and underline the importance of rare variants in the genetics of sporadic PD. Furthermore, patients carrying multiple rare variants showed higher risk of manifesting dyskinesia induced by levodopa treatment. CONCLUSIONS Besides confirming the extreme genetic heterogeneity of PD, these data provide novel insights into the genetic of the disease and may be relevant for its prediction, diagnosis and treatment.
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Affiliation(s)
- Alessandro Gialluisi
- grid.419543.e0000 0004 1760 3561IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy
| | - Mafalda Giovanna Reccia
- grid.419543.e0000 0004 1760 3561IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy
| | - Nicola Modugno
- grid.419543.e0000 0004 1760 3561IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy
| | - Teresa Nutile
- grid.419869.b0000 0004 1758 2860National Research Council, Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, Naples, Italy
| | - Alessia Lombardi
- grid.419543.e0000 0004 1760 3561IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy
| | - Luca Giovanni Di Giovannantonio
- grid.419869.b0000 0004 1758 2860National Research Council, Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, Naples, Italy
| | - Sara Pietracupa
- grid.419543.e0000 0004 1760 3561IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy
| | - Daniela Ruggiero
- grid.419543.e0000 0004 1760 3561IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy
- grid.419869.b0000 0004 1758 2860National Research Council, Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, Naples, Italy
| | - Simona Scala
- grid.419543.e0000 0004 1760 3561IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy
| | - Stefano Gambardella
- grid.419543.e0000 0004 1760 3561IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy
- grid.12711.340000 0001 2369 7670Department of Biomolecular Science, University of Urbino Carlo Bò, Urbino, Italy
| | | | - Licia Iacoviello
- grid.419543.e0000 0004 1760 3561IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy
- grid.18147.3b0000000121724807Research Center in Epidemiology and Preventive Medicine (EPIMED), Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Fernando Gianfrancesco
- grid.419869.b0000 0004 1758 2860National Research Council, Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, Naples, Italy
| | - Dario Acampora
- grid.419869.b0000 0004 1758 2860National Research Council, Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, Naples, Italy
| | - Maurizio D’Esposito
- grid.419869.b0000 0004 1758 2860National Research Council, Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, Naples, Italy
| | - Antonio Simeone
- grid.419869.b0000 0004 1758 2860National Research Council, Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, Naples, Italy
| | - Marina Ciullo
- grid.419543.e0000 0004 1760 3561IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy
- grid.419869.b0000 0004 1758 2860National Research Council, Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, Naples, Italy
| | - Teresa Esposito
- grid.419543.e0000 0004 1760 3561IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy
- grid.419869.b0000 0004 1758 2860National Research Council, Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, Naples, Italy
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Developmental Dyslexia: Environment Matters. Brain Sci 2021; 11:brainsci11060782. [PMID: 34199166 PMCID: PMC8231524 DOI: 10.3390/brainsci11060782] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 06/09/2021] [Accepted: 06/11/2021] [Indexed: 12/15/2022] Open
Abstract
Developmental dyslexia (DD) is a multifactorial, specific learning disorder. Susceptibility genes have been identified, but there is growing evidence that environmental factors, and especially stress, may act as triggering factors that determine an individual's risk of developing DD. In DD, as in most complex phenotypes, the presence of a genetic mutation fails to explain the broad phenotypic spectrum observed. Early life stress has been repeatedly associated with the risk of multifactorial disorders, due to its effects on chromatin regulation, gene expression, HPA axis function and its long-term effects on the systemic stress response. Based on recent evidence, we discuss the potential role of stress on DD occurrence, its putative epigenetic effects on the HPA axis of affected individuals, as well as the necessity of early and appropriate intervention, based on the individual stress-associated (endo)phenotype.
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40
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Martinelli A, Rice ML, Talcott JB, Diaz R, Smith S, Raza MH, Snowling MJ, Hulme C, Stein J, Hayiou-Thomas ME, Hawi Z, Kent L, Pitt SJ, Newbury DF, Paracchini S. A rare missense variant in the ATP2C2 gene is associated with language impairment and related measures. Hum Mol Genet 2021; 30:1160-1171. [PMID: 33864365 PMCID: PMC8188402 DOI: 10.1093/hmg/ddab111] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 04/09/2021] [Accepted: 04/12/2021] [Indexed: 01/02/2023] Open
Abstract
At least 5% of children present unexpected difficulties in expressing and understanding spoken language. This condition is highly heritable and often co-occurs with other neurodevelopmental disorders such as dyslexia and ADHD. Through an exome sequencing analysis, we identified a rare missense variant (chr16:84405221, GRCh38.p12) in the ATP2C2 gene. ATP2C2 was implicated in language disorders by linkage and association studies, and exactly the same variant was reported previously in a different exome sequencing study for language impairment (LI). We followed up this finding by genotyping the mutation in cohorts selected for LI and comorbid disorders. We found that the variant had a higher frequency in LI cases (1.8%, N = 360) compared with cohorts selected for dyslexia (0.8%, N = 520) and ADHD (0.7%, N = 150), which presented frequencies comparable to reference databases (0.9%, N = 24 046 gnomAD controls). Additionally, we observed that carriers of the rare variant identified from a general population cohort (N = 42, ALSPAC cohort) presented, as a group, lower scores on a range of reading and language-related measures compared to controls (N = 1825; minimum P = 0.002 for non-word reading). ATP2C2 encodes for an ATPase (SPCA2) that transports calcium and manganese ions into the Golgi lumen. Our functional characterization suggested that the rare variant influences the ATPase activity of SPCA2. Thus, our results further support the role of ATP2C2 locus in language-related phenotypes and pinpoint the possible effects of a specific rare variant at molecular level.
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Affiliation(s)
| | - Mabel L Rice
- Child Language Doctoral Program, University of Kansas, Lawrence, KS, USA
| | - Joel B Talcott
- Aston Brain Centre, School of Life and Health Sciences, Aston University, Birmingham, UK
| | - Rebeca Diaz
- School of Medicine, University of St Andrews, St Andrews, UK
| | - Shelley Smith
- Department of Neurological Sciences, University of Nebraska Medical Center, Lincoln, NE, USA
| | | | - Margaret J Snowling
- Department of Experimental Psychology and St John's College, University of Oxford, Oxford, UK
| | - Charles Hulme
- Department of Education, University of Oxford, Oxford, UK
| | - John Stein
- Department of Physiology, University of Oxford, Oxford, UK
| | | | - Ziarih Hawi
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Lindsey Kent
- School of Medicine, University of St Andrews, St Andrews, UK
| | - Samantha J Pitt
- School of Medicine, University of St Andrews, St Andrews, UK
| | - Dianne F Newbury
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK
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41
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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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42
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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: 9] [Impact Index Per Article: 3.0] [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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43
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Snowling MJ, Hulme C. Annual Research Review: Reading disorders revisited - the critical importance of oral language. J Child Psychol Psychiatry 2021; 62:635-653. [PMID: 32956509 DOI: 10.1111/jcpp.13324] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 07/24/2020] [Accepted: 08/11/2020] [Indexed: 02/06/2023]
Abstract
This paper discusses research on reading disorders during the period since their classification within the overarching category of neurodevelopmental disorders (Journal of Child Psychology and Psychiatry, 53, 2012, 593). Following a review of the predictors of learning to read across languages, and the role of language skills as critical foundations for literacy, profiles of reading disorders are discussed and putative causal risk factors at the cognitive, biological, and environmental levels of explanation considered. Reading disorders are highly heritable and highly comorbid with disorders of language, attention, and other learning disorders, notably mathematics disorders. The home literacy environment, reflecting gene-environment correlation, is one of several factors that promote reading development and highlight an important target for intervention. The multiple deficit view of dyslexia (Cognition, 101, 2006, 385) suggests that risks accumulate to a diagnostic threshold although categorical diagnoses tend to be unstable. Implications for assessment and intervention are discussed.
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Affiliation(s)
- Margaret J Snowling
- Department of Experimental Psychology, University of Oxford, Oxford, UK.,St John's College, University of Oxford, Oxford, UK
| | - Charles Hulme
- Department of Education, University of Oxford, Oxford, UK
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44
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Ning Z, Tsepilov YA, Sharapov SZ, Wang Z, Grishenko AK, Feng X, Shirali M, Joshi PK, Wilson JF, Pawitan Y, Haley CS, Aulchenko YS, Shen X. Nontrivial Replication of Loci Detected by Multi-Trait Methods. Front Genet 2021; 12:627989. [PMID: 33613642 PMCID: PMC7886991 DOI: 10.3389/fgene.2021.627989] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 01/04/2021] [Indexed: 11/21/2022] Open
Abstract
The ever-growing genome-wide association studies (GWAS) have revealed widespread pleiotropy. To exploit this, various methods that jointly consider associations of a genetic variant with multiple traits have been developed. Most efforts have been made concerning improving GWAS discovery power. However, how to replicate these discovered pleiotropic loci has yet to be discussed thoroughly. Unlike a single-trait scenario, multi-trait replication is not trivial considering the underlying genotype-multi-phenotype map of the associations. Here, we evaluate four methods for replicating multi-trait associations, corresponding to four levels of replication strength. Weak replication cannot justify pleiotropic genetic effects, whereas strong replication using our developed correlation methods can inform consistent pleiotropic genetic effects across the discovery and replication samples. We provide a protocol for replicating multi-trait genetic associations in practice. The described methods are implemented in the free and open-source R package MultiABEL.
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Affiliation(s)
- Zheng Ning
- Biostatistics Group, School of Life Sciences and School of Ecology, Sun Yat-sen University, Guangzhou, China.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Yakov A Tsepilov
- Division of Biology, Novosibirsk State University, Novosibirsk, Russia.,Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia
| | | | - Zhipeng Wang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Bioinformatics Center, Northeast Agricultural University, Harbin, China
| | | | - Xiao Feng
- Biostatistics Group, School of Life Sciences and School of Ecology, Sun Yat-sen University, Guangzhou, China
| | - Masoud Shirali
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - James F Wilson
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom.,Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Yudi Pawitan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Chris S Haley
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
| | - Yurii S Aulchenko
- Kurchatov Genomics Center, Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia.,PolyOmica, 's-Hertogenbosch, Netherlands
| | - Xia Shen
- Biostatistics Group, School of Life Sciences and School of Ecology, Sun Yat-sen University, Guangzhou, China.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom.,Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
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Mascheretti S, Riva V, Feng B, Trezzi V, Andreola C, Giorda R, Villa M, Dionne G, Gori S, Marino C, Facoetti A. The Mediation Role of Dynamic Multisensory Processing Using Molecular Genetic Data in Dyslexia. Brain Sci 2020; 10:brainsci10120993. [PMID: 33339203 PMCID: PMC7765588 DOI: 10.3390/brainsci10120993] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 12/04/2020] [Accepted: 12/11/2020] [Indexed: 12/21/2022] Open
Abstract
Although substantial heritability has been reported and candidate genes have been identified, we are far from understanding the etiopathogenetic pathways underlying developmental dyslexia (DD). Reading-related endophenotypes (EPs) have been established. Until now it was unknown whether they mediated the pathway from gene to reading (dis)ability. Thus, in a sample of 223 siblings from nuclear families with DD and 79 unrelated typical readers, we tested four EPs (i.e., rapid auditory processing, rapid automatized naming, multisensory nonspatial attention and visual motion processing) and 20 markers spanning five DD-candidate genes (i.e., DYX1C1, DCDC2, KIAA0319, ROBO1 and GRIN2B) using a multiple-predictor/multiple-mediator framework. Our results show that rapid auditory and visual motion processing are mediators in the pathway from ROBO1-rs9853895 to reading. Specifically, the T/T genotype group predicts impairments in rapid auditory and visual motion processing which, in turn, predict poorer reading skills. Our results suggest that ROBO1 is related to reading via multisensory temporal processing. These findings support the use of EPs as an effective approach to disentangling the complex pathways between candidate genes and behavior.
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Affiliation(s)
- Sara Mascheretti
- Child Psychopathology Unit, Scientific Institute, IRCCS E. Medea, 23842 Bosisio Parini, Italy; (S.M.); (V.R.); (V.T.); (C.A.)
| | - Valentina Riva
- Child Psychopathology Unit, Scientific Institute, IRCCS E. Medea, 23842 Bosisio Parini, Italy; (S.M.); (V.R.); (V.T.); (C.A.)
| | - Bei Feng
- École de Psychologie, Laval University, Québec, QC G1V 0A6, Canada; (B.F.); (G.D.)
| | - Vittoria Trezzi
- Child Psychopathology Unit, Scientific Institute, IRCCS E. Medea, 23842 Bosisio Parini, Italy; (S.M.); (V.R.); (V.T.); (C.A.)
| | - Chiara Andreola
- Child Psychopathology Unit, Scientific Institute, IRCCS E. Medea, 23842 Bosisio Parini, Italy; (S.M.); (V.R.); (V.T.); (C.A.)
- Laboratoire de Psychologie du Développement et de l’Éducation de l’Enfant (LaPsyDÉ), Universitè de Paris, 75005 Paris, France
| | - Roberto Giorda
- Molecular Biology Laboratory, Scientific Institute, IRCCS E. Medea, 23842 Bosisio Parini, Italy; (R.G.); (M.V.)
| | - Marco Villa
- Molecular Biology Laboratory, Scientific Institute, IRCCS E. Medea, 23842 Bosisio Parini, Italy; (R.G.); (M.V.)
| | - Ginette Dionne
- École de Psychologie, Laval University, Québec, QC G1V 0A6, Canada; (B.F.); (G.D.)
| | - Simone Gori
- Department of Human and Social Sciences, University of Bergamo, 24100 Bergamo, Italy;
| | - Cecilia Marino
- Child Psychopathology Unit, Scientific Institute, IRCCS E. Medea, 23842 Bosisio Parini, Italy; (S.M.); (V.R.); (V.T.); (C.A.)
- Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
- The Division of Child and Youth Psychiatry, Centre for Addiction and Mental Health (CAMH), Toronto, ON M6J 1H4, Canada
- Correspondence: (C.M.); (A.F.)
| | - Andrea Facoetti
- Developmental Cognitive Neuroscience Lab, Department of General Psychology, University of Padua, 35131 Padua, Italy
- Correspondence: (C.M.); (A.F.)
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46
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Grimm T, Garshasbi M, Puettmann L, Chen W, Ullmann R, Müller-Myhsok B, Klopocki E, Herbst L, Haug J, Jensen LR, Fischer C, Nöthen M, Ludwig K, Warnke A, Ott J, Schulte-Körne G, Ropers HH, Kuss AW. A Novel Locus and Candidate Gene for Familial Developmental Dyslexia on Chromosome 4q. ZEITSCHRIFT FUR KINDER-UND JUGENDPSYCHIATRIE UND PSYCHOTHERAPIE 2020; 48:478-489. [PMID: 33172359 DOI: 10.1024/1422-4917/a000758] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Objective: Developmental dyslexia is a highly heritable specific reading and writing disability. To identify a possible new locus and candidate gene for this disability, we investigated a four-generation pedigree where transmission of dyslexia is consistent with an autosomal dominant inheritance pattern. Methods: We performed genome wide array-based SNP genotyping and parametric linkage analysis and sequencing analysis of protein-coding exons, exon-intron boundaries and conserved extragenic regions within the haplotype cosegregating with dyslexia in DNA from one affected and one unaffected family member. Cosegregation was confirmed by sequencing all available family members. Additionally, we analyzed 96 dyslexic individuals who had previously shown positive LOD scores on chromosome 4q28 as well as an even larger sample (n = 2591). Results: We found a single prominent linkage interval on chromosome 4q, where sequence analysis revealed a nucleotide variant in the 3' UTR of brain expressed SPRY1 in the dyslexic family member that cosegregated with dyslexia. This sequence alteration might affect the binding efficiency of the IGF2BP1 RNA-binding protein and thus influence the expression level of the SPRY1 gene product. An analysis of 96 individuals from a cohort of dyslexic individuals revealed a second heterozygous variant in this gene, which was absent in the unaffected sister of the proband. An investigation of the region in a much larger sample further found a nominal p-value of 0.0016 for verbal short-term memory (digit span) in 2,591 individuals for a neighboring SNV. After correcting for the local number of analyzed SNVs, and after taking into account linkage disequilibrium, we found this corresponds to a p-value of 0.0678 for this phenotype. Conclusions: We describe a new locus for familial dyslexia and discuss the possibility that SPRY1 might play a role in the etiology of a monogenic form of dyslexia.
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Affiliation(s)
- Tiemo Grimm
- Department of Human Genetics, Biozentrum, University of Würzburg, Germany
| | - Masoud Garshasbi
- Department for Human Molecular Genetics, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Lucia Puettmann
- Department for Human Molecular Genetics, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Wei Chen
- Department for Human Molecular Genetics, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Reinhard Ullmann
- Department for Human Molecular Genetics, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | | | - Eva Klopocki
- Department of Human Genetics, Biozentrum, University of Würzburg, Germany
| | - Lina Herbst
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Germany
| | - Janina Haug
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Germany
| | - Lars R Jensen
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Germany
| | | | - Markus Nöthen
- Institute of Human Genetics, University of Bonn, Germany
| | - Kerstin Ludwig
- Institute of Human Genetics, University of Bonn, Germany
| | - Andreas Warnke
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital Würzburg, Germany
| | - Jürg Ott
- Laboratory of Statistical Genetics, Rockefeller University, New York, USA
| | - Gerd Schulte-Körne
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital Munich, Germany
| | - Hans-Hilger Ropers
- Department for Human Molecular Genetics, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Andreas W Kuss
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Germany
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47
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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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48
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Tirozzi A, Izzi B, Noro F, Marotta A, Gianfagna F, Hoylaerts MF, Cerletti C, Donati MB, de Gaetano G, Iacoviello L, Gialluisi A. Assessing Genetic Overlap Between Platelet Parameters and Neurodegenerative Disorders. Front Immunol 2020; 11:02127. [PMID: 33117333 PMCID: PMC7575686 DOI: 10.3389/fimmu.2020.02127] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 08/05/2020] [Indexed: 11/13/2022] Open
Abstract
Neurodegenerative disorders such as Parkinson’s disease (PD) and Alzheimer’s disease (AD) suffer from the lack of risk-predictive circulating biomarkers, and clinical diagnosis occurs only when symptoms are evident. Among potential biomarkers, platelet parameters have been associated with both disorders. However, these associations have been scarcely investigated at the genetic level. Here, we tested genome-wide coheritability based on common genetic variants between platelet parameters and PD/AD risk, through Linkage Disequilibrium Score Regression. This revealed a significant genetic correlation between platelet distribution width (PDW), an index of platelet size variability, and PD risk (rg [SE] = 0.080 [0.034]; p = 0.019), which was confirmed by a summary-summary polygenic score analysis, where PDW explained a small but significant proportion PD risk (<1%). AD risk showed no significant correlations, although a negative trend was observed with PDW (rg [SE] =-0.088 [0.053]; p=0.096), in line with previous epidemiological reports. These findings suggest the existence of limited shared genetic bases between PDW and PD and warrant further investigations to clarify the genes involved in this relation. Additionally, they suggest that the association between platelet parameters and AD risk is more environmental in nature, prompting an investigation into which factors may influence these traits.
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Affiliation(s)
- Alfonsina Tirozzi
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | - Benedetta Izzi
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | - Fabrizia Noro
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | - Annalisa Marotta
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | - Francesco Gianfagna
- Mediterranea Cardiocentro, Napoli, Italy.,Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Marc F Hoylaerts
- Department of Cardiovascular Sciences, Center for Molecular and Vascular Biology, University of Leuven, Leuven, Belgium
| | - Chiara Cerletti
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | | | | | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy.,Department of Medicine and Surgery, University of Insubria, Varese, Italy
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49
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Liebig J, Friederici AD, Neef NE. Auditory brainstem measures and genotyping boost the prediction of literacy: A longitudinal study on early markers of dyslexia. Dev Cogn Neurosci 2020; 46:100869. [PMID: 33091833 PMCID: PMC7576516 DOI: 10.1016/j.dcn.2020.100869] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 09/07/2020] [Accepted: 09/20/2020] [Indexed: 02/05/2023] Open
Abstract
Multi-domain profiles advance retrospective prediction of emergent literacy. DCDC2 and KIAA0319 risk variants influence emergent spelling skills. Combined DYX2 and auditory brainstem measures enhance predictive model fits. Additional benefit of preliterate phonological awareness on predictive power.
Literacy acquisition is impaired in children with developmental dyslexia resulting in lifelong struggle to read and spell. Proper diagnosis is usually late and commonly achieved after structured schooling started, which causes delayed interventions. Legascreen set out to develop a preclinical screening to identify children at risk of developmental dyslexia. To this end we examined 93 preliterate German children, half of them with a family history of dyslexia and half of them without a family history. We assessed standard demographic and behavioral precursors of literacy, acquired saliva samples for genotyping, and recorded speech-evoked brainstem responses to add an objective physiological measure. Reading and spelling was assessed after two years of structured literacy instruction. Multifactorial regression analyses considering demographic information, genotypes, and auditory brainstem encoding, predicted children’s literacy skills to varying degrees. These predictions were improved by adding the standard psychometrics with a slightly higher impact on spelling compared to reading comprehension. Our findings suggest that gene-brain-behavior profiling has the potential to determine the risk of developmental dyslexia. At the same time our results imply the need for a more sophisticated assessment to fully account for the disparate cognitive profiles and the multifactorial basis of developmental dyslexia.
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Affiliation(s)
- Johanna Liebig
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, 04103 Leipzig, Germany.
| | - Angela D Friederici
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, 04103 Leipzig, Germany.
| | - Nicole E Neef
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, 04103 Leipzig, Germany; Department of Clinical Neurophysiology, Georg-August-University, Göttingen, Robert-Koch-Straße 40, 37075 Göttingen, Germany; Department of Diagnostic and Interventional Neuroradiology, Georg-August-University, Robert-Koch-Str. 40, 37075 Göttingen, Germany.
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50
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Karipidis II, Hong DS. Specific learning disorders in sex chromosome aneuploidies: Neural circuits of literacy and mathematics. AMERICAN JOURNAL OF MEDICAL GENETICS PART C-SEMINARS IN MEDICAL GENETICS 2020; 184:518-530. [DOI: 10.1002/ajmg.c.31801] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 05/02/2020] [Accepted: 05/07/2020] [Indexed: 01/25/2023]
Affiliation(s)
- Iliana I. Karipidis
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral SciencesSchool of Medicine, Stanford University Stanford California USA
| | - David S. Hong
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral SciencesSchool of Medicine, Stanford University Stanford California USA
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