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Zhao L, Deng H, Yang Q, Tang Y, Zhao J, Li P, Zhang S, Yong X, Li T, Billadeau DD, Jia D. FAM91A1-TBC1D23 complex structure reveals human genetic variations susceptible for PCH. Proc Natl Acad Sci U S A 2023; 120:e2309910120. [PMID: 37903274 PMCID: PMC10636324 DOI: 10.1073/pnas.2309910120] [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: 06/19/2023] [Accepted: 10/03/2023] [Indexed: 11/01/2023] Open
Abstract
Pontocerebellar hypoplasia (PCH) is a group of rare neurodevelopmental disorders with limited diagnostic and therapeutic options. Mutations in WDR11, a subunit of the FAM91A1 complex, have been found in patients with PCH-like symptoms; however, definitive evidence that the mutations are causal is still lacking. Here, we show that depletion of FAM91A1 results in developmental defects in zebrafish similar to that of TBC1D23, an established PCH gene. FAM91A1 and TBC1D23 directly interact with each other and cooperate to regulate endosome-to-Golgi trafficking of KIAA0319L, a protein known to regulate axonal growth. Crystal structure of the FAM91A1-TBC1D23 complex reveals that TBC1D23 binds to a conserved surface on FAM91A1 by assuming a Z-shaped conformation. More importantly, the interaction between FAM91A1 and TBC1D23 can be used to predict the risk of certain TBC1D23-associated mutations to PCH. Collectively, our study provides a molecular basis for the interaction between TBC1D23 and FAM91A1 and suggests that disrupted endosomal trafficking underlies multiple PCH subtypes.
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Affiliation(s)
- Lin Zhao
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Paediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu610041, China
| | - Huaqing Deng
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Paediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu610041, China
| | - Qing Yang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Paediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu610041, China
| | - Yingying Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Paediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu610041, China
| | - Jia Zhao
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Paediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu610041, China
| | - Ping Li
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Paediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu610041, China
| | - Sitao Zhang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Paediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu610041, China
| | - Xin Yong
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Paediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu610041, China
| | - Tianxing Li
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Paediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu610041, China
| | - Daniel D. Billadeau
- Division of Oncology Research and Schulze Center for Novel Therapeutics, Mayo Clinic, Rochester, MN55905
| | - Da Jia
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Paediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu610041, China
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Hopkins WD, Coulon O, Meguerditchian A, Staes N, Sherwood CC, Schapiro SJ, Mangin JF, Bradley B. Genetic determinants of individual variation in the superior temporal sulcus of chimpanzees (Pan troglodytes). Cereb Cortex 2023; 33:1925-1940. [PMID: 35697647 PMCID: PMC9977371 DOI: 10.1093/cercor/bhac183] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 04/08/2022] [Accepted: 04/09/2022] [Indexed: 12/22/2022] Open
Abstract
The superior temporal sulcus (STS) is a conserved fold that divides the middle and superior temporal gyri. In humans, there is considerable variation in the shape, folding pattern, lateralization, and depth of the STS that have been reported to be associated with social cognition and linguistic functions. We examined the role that genetic factors play on individual variation in STS morphology in chimpanzees. The surface area and depth of the STS were quantified in sample of 292 captive chimpanzees comprised of two genetically isolated population of individuals. The chimpanzees had been previously genotyped for AVPR1A and KIAA0319, two genes that play a role in social cognition and communication in humans. Single nucleotide polymorphisms in the KIAA0319 and AVPR1A genes were associated with average depth as well as asymmetries in the STS. By contrast, we found no significant effects of these KIA0319 and AVPR1A polymorphism on surface area and depth measures for the central sulcus. The overall findings indicate that genetic factors account for a small to moderate amount of variation in STS morphology in chimpanzees. These findings are discussed in the context of the role of the STS in social cognition and language in humans and their potential evolutionary origins.
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Affiliation(s)
- William D Hopkins
- Department of Comparative Medicine, The University of Texas MD Anderson Cancer Center, Bastrop, TX 78602, USA
- IMéRA – Institut d’Etudes Avancées, Aix-Marseille Universite, Marseille 13004, France
- Institute of Language, Communication and The Brain, Aix-Marseille Universite, CNRS, Aix-en-Provence 13604, France
| | - Oliver Coulon
- Institute of Language, Communication and The Brain, Aix-Marseille Universite, CNRS, Aix-en-Provence 13604, France
- Aix-Marseille Univ, CNRS, Institut de Neurosciences de La Timone, UMR7289, Marseille 13284, France
| | - Adrien Meguerditchian
- Institute of Language, Communication and The Brain, Aix-Marseille Universite, CNRS, Aix-en-Provence 13604, France
- Laboratoire de Psychologie Cognitive, UMR 7290, LPC, Aix-Marseille Univ, CNRS, Marseille 13284, France
| | - Nicky Staes
- Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC 20052, USA
| | - Chet C Sherwood
- Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC 20052, USA
| | - Steven J Schapiro
- Department of Comparative Medicine, The University of Texas MD Anderson Cancer Center, Bastrop, TX 78602, USA
- Department of Experimental Medicine, University of Copenhagen, Copenhagen 2200N, Denmark
| | | | - Brenda Bradley
- Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC 20052, USA
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Wong PCM, Kang X, So HC, Choy KW. Contributions of common genetic variants to specific languages and to when a language is learned. Sci Rep 2022; 12:580. [PMID: 35022429 PMCID: PMC8755716 DOI: 10.1038/s41598-021-04163-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 12/10/2021] [Indexed: 11/16/2022] Open
Abstract
Research over the past two decades has identified a group of common genetic variants explaining a portion of variance in native language ability. The present study investigates whether the same group of genetic variants are associated with different languages and languages learned at different times in life. We recruited 940 young adults who spoke from childhood Chinese and English as their first (native) (L1) and second (L2) language, respectively, who were learners of a new, third (L3) language. For the variants examined, we found a general decrease of contribution of genes to language functions from native to foreign (L2 and L3) languages, with variance in foreign languages explained largely by non-genetic factors such as musical training and motivation. Furthermore, genetic variants that were found to contribute to traits specific to Chinese and English respectively exerted the strongest effects on L1 and L2. These results seem to speak against the hypothesis of a language- and time-universal genetic core of linguistic functions. Instead, they provide preliminary evidence that genetic contribution to language may depend at least partly on the intricate language-specific features. Future research including a larger sample size, more languages and more genetic variants is required to further explore these hypotheses.
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Affiliation(s)
- Patrick C M Wong
- Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China. .,Brain and Mind Institute, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China. .,Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
| | - Xin Kang
- Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China. .,Brain and Mind Institute, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China. .,Research Centre for Language, Cognition and Language Application, Chongqing University, Chongqing, China. .,School of Foreign Languages and Cultures, Chongqing University, Chongqing, China.
| | - Hon-Cheong So
- Brain and Mind Institute, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Kwong Wai Choy
- Department of Obsterics and Gynecology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
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Gray Matter Variation in the Posterior Superior Temporal Gyrus Is Associated with Polymorphisms in the KIAA0319 Gene in Chimpanzees ( Pan troglodytes). eNeuro 2021; 8:ENEURO.0169-21.2021. [PMID: 34815295 PMCID: PMC8672446 DOI: 10.1523/eneuro.0169-21.2021] [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: 04/17/2021] [Revised: 10/26/2021] [Accepted: 10/26/2021] [Indexed: 11/23/2022] Open
Abstract
Determining the impact that the KIAA0319 gene has on primate brain morphology can provide insight into the evolution of human cognition and language systems. Here, we tested whether polymorphisms in KIAA0319 in chimpanzees account for gray matter volumetric variation in brain regions implicated in language and communication (particularly within the posterior superior temporal gyrus and inferior frontal gyrus). First, we identified the nature and frequencies of single nucleotide variants (SNVs) in KIAA0319 in a sample of unrelated chimpanzees (Pan troglodytes spp.). Next, we genotyped a subset of SNVs (those important for gene regulation or likely to alter protein structure/function) in a sample of chimpanzees for which in vivo T1-structural magnetic resonance imaging scans had been obtained. We then used source-based morphometry (SBM) to test for whole-brain gray matter covariation differences between chimpanzees with different KIAA0319 alleles. Finally, using histologic sections of 15 postmortem chimpanzee brains, we analyzed microstructural variation related to KIAA0319 polymorphisms in the posterior superior temporal cortex. We found that the SNVs were associated with variation in gray matter within several brain regions, including the posterior superior temporal gyrus (a region associated with language comprehension and production in humans). The microstructure analysis further revealed hemispheric differences in neuropil fraction, indicating that KIAA0319 expression may be involved in regulation of processes related to the formation and maintenance of synapses, dendrites, or axons within regions associated with communication.
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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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The Polygenic Nature and Complex Genetic Architecture of Specific Learning Disorder. Brain Sci 2021; 11:brainsci11050631. [PMID: 34068951 PMCID: PMC8156942 DOI: 10.3390/brainsci11050631] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 05/11/2021] [Accepted: 05/12/2021] [Indexed: 12/16/2022] Open
Abstract
Specific Learning Disorder (SLD) is a multifactorial, neurodevelopmental disorder which may involve persistent difficulties in reading (dyslexia), written expression and/or mathematics. Dyslexia is characterized by difficulties with speed and accuracy of word reading, deficient decoding abilities, and poor spelling. Several studies from different, but complementary, scientific disciplines have investigated possible causal/risk factors for SLD. Biological, neurological, hereditary, cognitive, linguistic-phonological, developmental and environmental factors have been incriminated. Despite worldwide agreement that SLD is highly heritable, its exact biological basis remains elusive. We herein present: (a) an update of studies that have shaped our current knowledge on the disorder’s genetic architecture; (b) a discussion on whether this genetic architecture is ‘unique’ to SLD or, alternatively, whether there is an underlying common genetic background with other neurodevelopmental disorders; and, (c) a brief discussion on whether we are at a position of generating meaningful correlations between genetic findings and anatomical data from neuroimaging studies or specific molecular/cellular pathways. We conclude with open research questions that could drive future research directions.
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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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Sharma P, Sagar R, Deep R, Mehta M, Subbiah V. Assessment for familial pattern and association of polymorphisms in KIAA0319 gene with specific reading disorder in children from North India visiting a tertiary care centre: A case-control study. DYSLEXIA (CHICHESTER, ENGLAND) 2020; 26:104-114. [PMID: 31814229 DOI: 10.1002/dys.1642] [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: 11/17/2017] [Revised: 05/17/2019] [Accepted: 11/06/2019] [Indexed: 06/10/2023]
Abstract
Genetic association studies have identified KIAA0319 gene as a possible susceptibility locus for reading disorder; however, very few studies are available from India. The study was planned to investigate the familial pattern and association of KIAA0319 polymorphisms among children with reading disorder visiting a tertiary centre in North India. This is a case-control, familial, and genetic association study on 30 children diagnosed with reading disorder (ICD-10) and 30 matched healthy controls and their families. The Aggregate Neurobehavioral Student Health and Educational Review System was administered on parents of probands and controls for reading problems in their siblings, and Adult Reading Questionnaire was administered for parents of both groups. The blood sample was taken from probands, and DNA was isolated. Four KIAA0319 coding sequence single nucleotide polymorphisms (SNPs; rs4504469, rs6935076, rs2038137, and rs2179515) were genotyped using SNaPshot single nucleotide extension. The incidence of reading problem was significantly higher in families of probands as compared with families of controls. There were no significant differences in both groups regarding the frequency of alleles of four SNPs. The reading disorder showed a significant familial pattern, but KIAA0319 gene did not appear to be a susceptibility factor. Future replications with larger samples and whole genome studies are warranted.
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Affiliation(s)
- Pawan Sharma
- Department of Psychiatry, School of Medicine, Patan Academy of Health Sciences, Lalitpur, Nepal
| | - Rajesh Sagar
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - Raman Deep
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - Manju Mehta
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - Vivekanandhan Subbiah
- Department of Neurobiochemistry, All India Institute of Medical Sciences, New Delhi, India
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Uddén J, Hultén A, Bendtz K, Mineroff Z, Kucera KS, Vino A, Fedorenko E, Hagoort P, Fisher SE. Toward Robust Functional Neuroimaging Genetics of Cognition. J Neurosci 2019; 39:8778-8787. [PMID: 31570534 PMCID: PMC6820208 DOI: 10.1523/jneurosci.0888-19.2019] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 08/21/2019] [Accepted: 09/04/2019] [Indexed: 12/15/2022] Open
Abstract
A commonly held assumption in cognitive neuroscience is that, because measures of human brain function are closer to underlying biology than distal indices of behavior/cognition, they hold more promise for uncovering genetic pathways. Supporting this view is an influential fMRI-based study of sentence reading/listening by Pinel et al. (2012), who reported that common DNA variants in specific candidate genes were associated with altered neural activation in language-related regions of healthy individuals that carried them. In particular, different single-nucleotide polymorphisms (SNPs) of FOXP2 correlated with variation in task-based activation in left inferior frontal and precentral gyri, whereas a SNP at the KIAA0319/TTRAP/THEM2 locus was associated with variable functional asymmetry of the superior temporal sulcus. Here, we directly test each claim using a closely matched neuroimaging genetics approach in independent cohorts comprising 427 participants, four times larger than the original study of 94 participants. Despite demonstrating power to detect associations with substantially smaller effect sizes than those of the original report, we do not replicate any of the reported associations. Moreover, formal Bayesian analyses reveal substantial to strong evidence in support of the null hypothesis (no effect). We highlight key aspects of the original investigation, common to functional neuroimaging genetics studies, which could have yielded elevated false-positive rates. Genetic accounts of individual differences in cognitive functional neuroimaging are likely to be as complex as behavioral/cognitive tests, involving many common genetic variants, each of tiny effect. Reliable identification of true biological signals requires large sample sizes, power calculations, and validation in independent cohorts with equivalent paradigms.SIGNIFICANCE STATEMENT A pervasive idea in neuroscience is that neuroimaging-based measures of brain function, being closer to underlying neurobiology, are more amenable for uncovering links to genetics. This is a core assumption of prominent studies that associate common DNA variants with altered activations in task-based fMRI, despite using samples (10-100 people) that lack power for detecting the tiny effect sizes typical of genetically complex traits. Here, we test central findings from one of the most influential prior studies. Using matching paradigms and substantially larger samples, coupled to power calculations and formal Bayesian statistics, our data strongly refute the original findings. We demonstrate that neuroimaging genetics with task-based fMRI should be subject to the same rigorous standards as studies of other complex traits.
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Affiliation(s)
- Julia Uddén
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands, 6525 XD,
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands, 6500 HE
- Department of Linguistics
- Department of Psychology, Stockholm University, Sweden, SE-106 91
| | - Annika Hultén
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands, 6525 XD
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands, 6500 HE
| | - Katarina Bendtz
- Department of Psychology, Stockholm University, Sweden, SE-106 91
| | - Zachary Mineroff
- Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, Massachusetts, MA 02139-4307
| | - Katerina S Kucera
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands, 6525 XD
| | - Arianna Vino
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands, 6525 XD
| | - Evelina Fedorenko
- Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, Massachusetts, MA 02139-4307
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, MA 02139, and
- Psychiatry Department, Massachusetts General Hospital, Charlestown, Massachusetts MA 02144
| | - Peter Hagoort
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands, 6525 XD
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands, 6500 HE
| | - Simon E Fisher
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands, 6525 XD,
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands, 6500 HE
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Landi N, Perdue M. Neuroimaging genetics studies of specific reading disability and developmental language disorder: A review. LANGUAGE AND LINGUISTICS COMPASS 2019; 13:e12349. [PMID: 31844423 PMCID: PMC6913889 DOI: 10.1111/lnc3.12349] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Developmental disorders of spoken and written language are heterogeneous in nature with impairments observed across various linguistic, cognitive, and sensorimotor domains. These disorders are also associated with characteristic patterns of atypical neural structure and function that are observable early in development, often before formal schooling begins. Established patterns of heritability point toward genetic contributions, and molecular genetics approaches have identified genes that play a role in these disorders. Still, identified genes account for only a limited portion of phenotypic variance in complex developmental disorders, described as the problem of "missing heritability." The characterization of intermediate phenotypes at the neural level may fill gaps in our understanding of heritability patterns in complex disorders, and the emerging field of neuroimaging genetics offers a promising approach to accomplish this goal. The neuroimaging genetics approach is gaining prevalence in language- and reading-related research as it is well-suited to incorporate behavior, genetics, and neurobiology into coherent etiological models of complex developmental disorders. Here, we review research applying the neuroimaging genetics approach to the study of specific reading disability (SRD) and developmental language disorder (DLD), much of which links genes with known neurodevelopmental function to functional and structural abnormalities in the brain.
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Affiliation(s)
- Nicole Landi
- Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, United States; Haskins Laboratories, United States
| | - Meaghan Perdue
- Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, United States; Haskins Laboratories, United States
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11
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The current status of the magnocellular theory of developmental dyslexia. Neuropsychologia 2019; 130:66-77. [DOI: 10.1016/j.neuropsychologia.2018.03.022] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Revised: 12/15/2017] [Accepted: 03/19/2018] [Indexed: 01/28/2023]
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Association between KIAA0319 SNPs and risk of dyslexia: a meta-analysis. J Genet 2019. [DOI: 10.1007/s12041-019-1103-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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13
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Deng KG, Zhao H, Zuo PX. Association between KIAA0319 SNPs and risk of dyslexia: a meta-analysis. J Genet 2019; 98:62. [PMID: 31204720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The aetiology of developmental dyslexia (DD) is complex; although candidate genes have been suggested, the molecular mechanism and risk factors remain unknown. The KIAA0319 gene is functionally related to neuronal migration and axon growth, and several studies have examined associations between KIAA0319 polymorphisms with DD, but the results remain inconsistent. The sample size affects the results of meta-analysis. The aim of this meta-analysis was to clarify the effect of KIAA0319 polymorphisms on dyslexia susceptibility according to the available evidence. All eligible case-control and transmission/disequilibrium test (TDT) studies published until March 2018 were identified by searchingMedline, PubMed, Embase, Web of Science and Chinese Biomedical Database, limited to Chinese and English language papers. Pooled odds ratios and 95% confidence intervals were calculated using STATS package v12.0. A total of 11 related studies, including 3130 cases of dyslexia and 3460 healthy control subjects, as well as four TDT studies with 842 families were included in our meta-analysis. The results indicated that the polymorphisms rs4504469, rs2038137, rs2179515, rs3212236, rs6935076, rs9461045, rs2143340 and rs761100 have no association between the polymorphisms and dyslexia risk. Three subgroup meta-analyseswere performed according to the study design, country and population. The stratified analysis revealed that the KIAA0319 rs4504469 minor allele was a risk allele t in the TDT subgroup, rs3212236 minor allele was a risk allele t in the UK subgroup and rs6935076 minor allele was a risk allele t in the Canada subgroup. Further studies with larger sample sizes that assess gene-gene and gene-environment interactions are required. The sample size of our study is larger than that of the previous studies, and the results are different from those of the previous studies.We have synthesized all the current studies on KIAA0319 and obtained reliable results.
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Affiliation(s)
- Ke-Gao Deng
- Medical School, University of Shihezi, Xinjiang 83 2000, People's Republic of China.
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14
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Gostic M, Martinelli A, Tucker C, Yang Z, Gasparoli F, Ewart JY, Dholakia K, Sillar KT, Tello JA, Paracchini S. The dyslexia susceptibility KIAA0319 gene shows a specific expression pattern during zebrafish development supporting a role beyond neuronal migration. J Comp Neurol 2019; 527:2634-2643. [PMID: 30950042 PMCID: PMC6767054 DOI: 10.1002/cne.24696] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 03/20/2019] [Accepted: 03/29/2019] [Indexed: 01/17/2023]
Abstract
Dyslexia is a common neurodevelopmental disorder caused by a significant genetic component. The KIAA0319 gene is one of the most robust dyslexia susceptibility factors but its function remains poorly understood. Initial RNA-interference studies in rats suggested a role in neuronal migration whereas subsequent work with double knock-out mouse models for both Kiaa0319 and its paralogue Kiaa0319-like reported effects in the auditory system but not in neuronal migration. To further understand the role of KIAA0319 during neurodevelopment, we carried out an expression study of its zebrafish orthologue at different embryonic stages. We used different approaches including RNAscope in situ hybridization combined with light-sheet microscopy. The results show particularly high expression during the first few hours of development. Later, expression becomes localized in well-defined structures. In addition to high expression in the brain, we report for the first time expression in the eyes and the notochord. Surprisingly, kiaa0319-like, which generally shows a similar expression pattern to kiaa0319, was not expressed in the notochord suggesting a distinct role for kiaa0319 in this structure. This observation was supported by the identification of notochord enhancers enriched upstream of the KIAA0319 transcription start site, in both zebrafish and humans. This study supports a developmental role for KIAA0319 in the brain as well as in other developing structures, particularly in the notochord which, is key for establishing body patterning in vertebrates.
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Affiliation(s)
- Monika Gostic
- School of Medicine, University of St Andrews, St Andrews, UK.,Biomedical Sciences Research Complex, University of St Andrews, St Andrews, UK
| | - Angela Martinelli
- School of Medicine, University of St Andrews, St Andrews, UK.,Biomedical Sciences Research Complex, University of St Andrews, St Andrews, UK
| | - Carl Tucker
- College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK
| | - Zhengyi Yang
- SUPA, School of Physics and Astronomy, University of St Andrews, St Andrews, UK.,School of Psychology and Neuroscience, University of St Andrews, St Andrews, UK
| | | | - Jade-Yi Ewart
- School of Medicine, University of St Andrews, St Andrews, UK.,School of Psychology and Neuroscience, University of St Andrews, St Andrews, UK
| | - Kishan Dholakia
- Biomedical Sciences Research Complex, University of St Andrews, St Andrews, UK.,SUPA, School of Physics and Astronomy, University of St Andrews, St Andrews, UK
| | - Keith T Sillar
- School of Psychology and Neuroscience, University of St Andrews, St Andrews, UK
| | - Javier A Tello
- School of Medicine, University of St Andrews, St Andrews, UK.,Biomedical Sciences Research Complex, University of St Andrews, St Andrews, UK
| | - Silvia Paracchini
- School of Medicine, University of St Andrews, St Andrews, UK.,Biomedical Sciences Research Complex, University of St Andrews, St Andrews, UK
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15
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Gialluisi A, Andlauer TFM, Mirza-Schreiber N, Moll K, Becker J, Hoffmann P, Ludwig KU, Czamara D, St Pourcain B, Brandler W, Honbolygó F, Tóth D, Csépe V, Huguet G, 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, 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 scan identifies new variants associated with a cognitive predictor of dyslexia. Transl Psychiatry 2019; 9:77. [PMID: 30741946 PMCID: PMC6370792 DOI: 10.1038/s41398-019-0402-0] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 01/02/2019] [Indexed: 12/12/2022] Open
Abstract
Developmental dyslexia (DD) is one of the most prevalent learning disorders, with high impact on school and psychosocial development and high comorbidity with conditions like attention-deficit hyperactivity disorder (ADHD), depression, and anxiety. DD is characterized by deficits in different cognitive skills, including word reading, spelling, rapid naming, and phonology. To investigate the genetic basis of DD, we conducted a genome-wide association study (GWAS) of these skills within one of the largest studies available, including nine cohorts of reading-impaired and typically developing children of European ancestry (N = 2562-3468). We observed a genome-wide significant effect (p < 1 × 10-8) on rapid automatized naming of letters (RANlet) for variants on 18q12.2, within MIR924HG (micro-RNA 924 host gene; rs17663182 p = 4.73 × 10-9), and a suggestive association on 8q12.3 within NKAIN3 (encoding a cation transporter; rs16928927, p = 2.25 × 10-8). rs17663182 (18q12.2) also showed genome-wide significant multivariate associations with RAN measures (p = 1.15 × 10-8) and with all the cognitive traits tested (p = 3.07 × 10-8), suggesting (relational) pleiotropic effects of this variant. A polygenic risk score (PRS) analysis revealed significant genetic overlaps of some of the DD-related traits with educational attainment (EDUyears) and ADHD. Reading and spelling abilities were positively associated with EDUyears (p ~ [10-5-10-7]) and negatively associated with ADHD PRS (p ~ [10-8-10-17]). This corroborates a long-standing hypothesis on the partly shared genetic etiology of DD and ADHD, at the genome-wide level. Our findings suggest new candidate DD susceptibility genes and provide new insights into the genetics of dyslexia and its comorbities.
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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 (Sypartially), 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 (Sypartially), Munich, Germany
| | - Nazanin Mirza-Schreiber
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Kristina Moll
- Department of Child and Adolescent Psychiatry, Psychosomatic, and Psychotherapy, Ludwig-Maximilians University, Munich, Germany
| | - Jessica Becker
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Kerstin U Ludwig
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life & Brain Center, 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, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - William Brandler
- University of California San Diego, Department of Psychiatry, San Diego, CA, USA
| | - 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, Paris, France
- University Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Andrew P Morris
- Department of Biostatistics, Universiy of Liverpool, Liverpool, UK
- Wellcome Trust 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
- Developmental Neuroscience Munroe-Meyer Institute, University of Nebraska Medical Center, Omaha, NE, USA
| | - Bruce F Pennington
- Developmental Neuropsychology Lab & Clinic, Department of Psychology, University of Denver, Denver, CO, USA
| | - Anniek Vaessen
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience & Maastricht Brain Imaging Center (M-BIC), Maastricht University, Maastricht, 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), Zurich, Switzerland
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Milene Bonte
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience & Maastricht Brain Imaging Center (M-BIC), Maastricht University, Maastricht, 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, Paris, France
- University Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Arndt Wilcke
- Cognitive Genetics Unit, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany
| | - Clyde Francks
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Thomas Bourgeron
- Human Genetics and Cognitive Functions Unit, Institut Pasteur, Paris, France
- University Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Anthony P Monaco
- Wellcome Trust 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 Research University, Paris, France
| | - Karin Landerl
- Institute of Psychology, University of Graz, Graz, Austria and BioTechMed, Graz, Austria
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
- Molecular Medicine Program, Biomedicum, University of Helsinki, and Folkhälsan Institute of Genetics, Helsinki, Finland
- School of Basic and Medical Biosciences, King's College London, London, UK
| | - Thomas S Scerri
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- The Walter and Eliza Hall Institute of Medical Research & Melbourne University, Melbourne, Australia
| | | | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Johannes Schumacher
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life & Brain Center, 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 (Sypartially), 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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16
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The Influence of Dyslexia Candidate Genes on Reading Skill in Old Age. Behav Genet 2018; 48:351-360. [PMID: 29959602 PMCID: PMC6097729 DOI: 10.1007/s10519-018-9913-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 06/23/2018] [Indexed: 11/27/2022]
Abstract
A number of candidate genes for reading and language impairment have been replicated, primarily in samples of children with developmental disability or delay, although these genes are also supported in adolescent population samples. The present study used a systematic approach to test 14 of these candidate genes for association with reading assessed in late adulthood (two cohorts with mean ages of 70 and 79 years). Gene-sets (14 candidates, axon-guidance and neuron migration pathways) and individual SNPs within each gene of interest were tested for association using imputed data referenced to the 1000 genomes European panel. Using the results from the genome-wide association (GWA) meta-analysis of the two cohorts (N = 1217), a competitive gene-set analysis showed that the candidate gene-set was associated with the reading index (p = .016) at a family wise error rate corrected significance level. Neither axon guidance nor neuron migration pathways were significant. Whereas individual SNP associations within CYP19A1, DYX1C1, CNTNAP2 and DIP2A genes (p < .05) did not reach corrected significance their allelic effects were in the same direction as past available reports. These results suggest that reading skill in normal adults shares the same genetic substrate as reading in adolescents, and clinically disordered reading, and highlights the utility of adult samples to increase sample sizes in the genetic study of developmental disorders.
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17
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Müller B, Boltze J, Czepezauer I, Hesse V, Wilcke A, Kirsten H. Dyslexia risk variant rs600753 is linked with dyslexia-specific differential allelic expression of DYX1C1. Genet Mol Biol 2018; 41:41-49. [PMID: 29473935 PMCID: PMC5901500 DOI: 10.1590/1678-4685-gmb-2017-0165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Accepted: 08/28/2017] [Indexed: 11/22/2022] Open
Abstract
An increasing number of genetic variants involved in dyslexia development were
discovered during the last years, yet little is known about the molecular
functional mechanisms of these SNPs. In this study we investigated whether
dyslexia candidate SNPs have a direct, disease-specific effect on local
expression levels of the assumed target gene by using a differential allelic
expression assay. In total, 12 SNPs previously associated with dyslexia and
related phenotypes were suitable for analysis. Transcripts corresponding to four
SNPs were sufficiently expressed in 28 cell lines originating from controls and
a family affected by dyslexia. We observed a significant effect of rs600753 on
expression levels of DYX1C1 in forward and reverse sequencing
approaches. The expression level of the rs600753 risk allele was increased in
the respective seven cell lines from members of the dyslexia family which might
be due to a disturbed transcription factor binding sites. When considering our
results in the context of neuroanatomical dyslexia-specific findings, we
speculate that this mechanism may be part of the pathomechanisms underlying the
dyslexia-specific brain phenotype. Our results suggest that allele-specific
DYX1C1 expression levels depend on genetic variants of
rs600753 and contribute to dyslexia. However, these results are preliminary and
need replication.
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Affiliation(s)
- Bent Müller
- Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany
| | - Johannes Boltze
- Fraunhofer Research Institution for Marine Biotechnology, Department of Medical Cell Technology, Lübeck, Germany.,Institute for Medical and Marine Biotechnology, University of Lübeck, Lübeck, Germany
| | - Ivonne Czepezauer
- Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany
| | - Volker Hesse
- German Center for Growth, Development and Health Encouragement in Childhood and Adolescence, Berlin, Germany.,Charité-University Medicine Berlin, Institute for Experimental Paediatric Endocrinolgy, Berlin
| | | | - Arndt Wilcke
- Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany
| | - Holger Kirsten
- Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.,Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.,LIFE - Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
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18
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Schmitz J, Kumsta R, Moser D, Güntürkün O, Ocklenburg S. KIAA0319 promoter DNA methylation predicts dichotic listening performance in forced-attention conditions. Behav Brain Res 2018; 337:1-7. [DOI: 10.1016/j.bbr.2017.09.035] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Revised: 09/19/2017] [Accepted: 09/22/2017] [Indexed: 12/21/2022]
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19
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Abbott RD, Raskind WH, Matsushita M, Price ND, Richards T, Berninger VW. Patterns of biomarkers for three phenotype profiles of persisting specific learning disabilities during middle childhood and early adolescence: A preliminary study. BIOMARKERS AND GENES 2017; 1:103. [PMID: 30854516 PMCID: PMC6407889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Students without specific learning disabilities [SLDs] [n=18] and with one of three persisting SLDs in written language despite early and current specialized instruction-Dysgraphia [n=21], Dyslexia [n=40], or oral and written language learning disability OWL LD [n=14]- in grades 4 to 9 [N=56 boys, 38 girls] completed behavioral phenotyping assessment and gave a small blood or saliva sample. Molecular analyses informed by current cross-site research on gene candidates for learning disabilities identified associations between molecular genetic markers and the two defining behavioral phenotypes for each SLDs-WL; dysgraphia [impaired writing alphabet from memory for rs3743204 and sentence copying in best handwriting for rs79382 both in DYX1C1], dyslexia [impaired silent word reading/decoding rate for rs4535189 in DCDC2 and impaired spelling/encoding for rs374205 in DYX1C1], and OWL LD [impaired aural syntax comprehension for rs807701 and oral syntax construction for rs807701 both in DYX1C1]. Implications of these identified associations between molecular markers for alleles for different sites within two gene candidates [and mostly one] and hallmark phenotypes are discussed for translation science [application to practice] and neuroimaging that has identified contrasting brain bases for each of the three SLDs.
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Affiliation(s)
- Robert D. Abbott
- University of Washington, Quantitative Studies and Measurement, USA
| | - Wendy H. Raskind
- University of Washington, Medicine, USA,University of Washington, Psychiatry and Behavioral Sciences, USA
| | | | - Nathan D. Price
- Institute for Systems Biology, USA,University of Washington, Bioengineering, Computer Science & Engineering, Molecular & Cellular Biology, USA
| | - Todd Richards
- University of Washington, Integrated Brain Imaging Center and Radiology, USA
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20
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Guidi LG, Mattley J, Martinez-Garay I, Monaco AP, Linden JF, Velayos-Baeza A, Molnár Z. Knockout Mice for Dyslexia Susceptibility Gene Homologs KIAA0319 and KIAA0319L have Unaffected Neuronal Migration but Display Abnormal Auditory Processing. Cereb Cortex 2017; 27:5831-5845. [PMID: 29045729 PMCID: PMC5939205 DOI: 10.1093/cercor/bhx269] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Developmental dyslexia is a neurodevelopmental disorder that affects reading ability caused by genetic and non-genetic factors. Amongst the susceptibility genes identified to date, KIAA0319 is a prime candidate. RNA-interference experiments in rats suggested its involvement in cortical migration but we could not confirm these findings in Kiaa0319-mutant mice. Given its homologous gene Kiaa0319L (AU040320) has also been proposed to play a role in neuronal migration, we interrogated whether absence of AU040320 alone or together with KIAA0319 affects migration in the developing brain. Analyses of AU040320 and double Kiaa0319;AU040320 knockouts (dKO) revealed no evidence for impaired cortical lamination, neuronal migration, neurogenesis or other anatomical abnormalities. However, dKO mice displayed an auditory deficit in a behavioral gap-in-noise detection task. In addition, recordings of click-evoked auditory brainstem responses revealed suprathreshold deficits in wave III amplitude in AU040320-KO mice, and more general deficits in dKOs. These findings suggest that absence of AU040320 disrupts firing and/or synchrony of activity in the auditory brainstem, while loss of both proteins might affect both peripheral and central auditory function. Overall, these results stand against the proposed role of KIAA0319 and AU040320 in neuronal migration and outline their relationship with deficits in the auditory system.
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Affiliation(s)
- Luiz G Guidi
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford OX1 3QX, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Jane Mattley
- Ear Institute, University College London, London WC1X 8EE, UK
| | - Isabel Martinez-Garay
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford OX1 3QX, UK
| | - Anthony P Monaco
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Current address: Office of the President, Ballou Hall, Tufts University, Medford, MA 02155, USA
| | - Jennifer F Linden
- Ear Institute, University College London, London WC1X 8EE, UK
- Department of Neuroscience, Physiology & Pharmacology, University College London, London WC1E 6BT, UK
| | | | - Zoltán Molnár
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford OX1 3QX, UK
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21
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Mascheretti S, Gori S, Trezzi V, Ruffino M, Facoetti A, Marino C. Visual motion and rapid auditory processing are solid endophenotypes of developmental dyslexia. GENES BRAIN AND BEHAVIOR 2017; 17:70-81. [PMID: 28834383 DOI: 10.1111/gbb.12409] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Revised: 07/19/2017] [Accepted: 08/14/2017] [Indexed: 12/18/2022]
Abstract
Although a genetic component is known to have an important role in the etiology of developmental dyslexia (DD), we are far from understanding the molecular etiopathogenetic pathways. Reduced measures of neurobiological functioning related to reading (dis)ability, i.e. endophenotypes (EPs), are promising targets for gene finding and the elucidation of the underlying mechanisms. In a sample of 100 nuclear families with DD (229 offspring) and 83 unrelated typical readers, we tested whether a set of well-established, cognitive phenotypes related to DD [i.e. rapid auditory processing (RAP), rapid automatized naming (RAN), multisensory nonspatial attention and visual motion processing] fulfilled the criteria of the EP construct. Visual motion and RAP satisfied all testable criteria (i.e. they are heritable, associate with the disorder, co-segregate with the disorder within a family and represent reproducible measures) and are therefore solid EPs of DD. Multisensory nonspatial attention satisfied three of four criteria (i.e. it associates with the disorder, co-segregates with the disorder within a family and represents a reproducible measure) and is therefore a potential EP for DD. Rapid automatized naming is heritable but does not meet other criteria of the EP construct. We provide the first evidence of a methodologically and statistically sound approach for identifying EPs for DD to be exploited as a solid alternative basis to clinical phenotypes in neuroscience.
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Affiliation(s)
- S. Mascheretti
- Child Psychopathology Unit; Scientific Institute, IRCCS Eugenio Medea; Bosisio Parini Italy
| | - S. Gori
- Child Psychopathology Unit; Scientific Institute, IRCCS Eugenio Medea; Bosisio Parini Italy
- Department of Human and Social Sciences; University of Bergamo; Bergamo Italy
| | - V. Trezzi
- Child Psychopathology Unit; Scientific Institute, IRCCS Eugenio Medea; Bosisio Parini Italy
| | - M. Ruffino
- Child Psychopathology Unit; Scientific Institute, IRCCS Eugenio Medea; Bosisio Parini Italy
| | - A. Facoetti
- Child Psychopathology Unit; Scientific Institute, IRCCS Eugenio Medea; Bosisio Parini Italy
- Developmental Cognitive Neuroscience Lab, Department of General Psychology; University of Padua; Padua Italy
| | - C. Marino
- Child Psychopathology Unit; Scientific Institute, IRCCS Eugenio Medea; Bosisio Parini Italy
- Centre for Addiction and Mental Health; University of Toronto; ON Canada
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22
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The role of READ1 and KIAA0319 genetic variations in developmental dyslexia: testing main and interactive effects. J Hum Genet 2017; 62:949-955. [DOI: 10.1038/jhg.2017.80] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Revised: 06/30/2017] [Accepted: 07/02/2017] [Indexed: 12/23/2022]
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23
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Hancock R, Pugh KR, Hoeft F. Neural Noise Hypothesis of Developmental Dyslexia. Trends Cogn Sci 2017; 21:434-448. [PMID: 28400089 PMCID: PMC5489551 DOI: 10.1016/j.tics.2017.03.008] [Citation(s) in RCA: 78] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Revised: 02/27/2017] [Accepted: 03/15/2017] [Indexed: 11/26/2022]
Abstract
Developmental dyslexia (decoding-based reading disorder; RD) is a complex trait with multifactorial origins at the genetic, neural, and cognitive levels. There is evidence that low-level sensory-processing deficits precede and underlie phonological problems, which are one of the best-documented aspects of RD. RD is also associated with impairments in integrating visual symbols with their corresponding speech sounds. Although causal relationships between sensory processing, print-speech integration, and fluent reading, and their neural bases are debated, these processes all require precise timing mechanisms across distributed brain networks. Neural excitability and neural noise are fundamental to these timing mechanisms. Here, we propose that neural noise stemming from increased neural excitability in cortical networks implicated in reading is one key distal contributor to RD.
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Affiliation(s)
- Roeland Hancock
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco (UCSF), 401 Parnassus Ave. Box-0984, San Francisco, CA 94143, USA; Science-based Innovation in Learning Center (SILC), 401 Parnassus Ave. Box-0984, San Francisco, CA 94143, USA.
| | - Kenneth R Pugh
- Haskins Laboratories, 300 George Street, New Haven, CT 06511, USA; Department of Linguistics, Yale University, 370 Temple Street, New Haven, CT 06520, USA; Department of Radiology and Biomedical Imaging, Yale University, 330 Cedar Street, New Haven, CT 06520, USA; Department of Psychological Sciences, University of Connecticut, 406 Babbidge Road, Storrs, CT 06269, USA
| | - Fumiko Hoeft
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco (UCSF), 401 Parnassus Ave. Box-0984, San Francisco, CA 94143, USA; Haskins Laboratories, 300 George Street, New Haven, CT 06511, USA; Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160, Japan; Science-based Innovation in Learning Center (SILC), 401 Parnassus Ave. Box-0984, San Francisco, CA 94143, USA; Dyslexia Center, UCSF, 675 Nelson Rising Lane, San Francisco, CA 94158, USA.
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24
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Martinez-Garay I, Guidi LG, Holloway ZG, Bailey MAG, Lyngholm D, Schneider T, Donnison T, Butt SJB, Monaco AP, Molnár Z, Velayos-Baeza A. Normal radial migration and lamination are maintained in dyslexia-susceptibility candidate gene homolog Kiaa0319 knockout mice. Brain Struct Funct 2017; 222:1367-1384. [PMID: 27510895 PMCID: PMC5368214 DOI: 10.1007/s00429-016-1282-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2016] [Accepted: 07/26/2016] [Indexed: 12/18/2022]
Abstract
Developmental dyslexia is a common disorder with a strong genetic component, but the underlying molecular mechanisms are still unknown. Several candidate dyslexia-susceptibility genes, including KIAA0319, DYX1C1, and DCDC2, have been identified in humans. RNA interference experiments targeting these genes in rat embryos have shown impairments in neuronal migration, suggesting that defects in radial cortical migration could be involved in the disease mechanism of dyslexia. Here we present the first characterisation of a Kiaa0319 knockout mouse line. Animals lacking KIAA0319 protein do not show anatomical abnormalities in any of the layered structures of the brain. Neurogenesis and radial migration of cortical projection neurons are not altered, and the intrinsic electrophysiological properties of Kiaa0319-deficient neurons do not differ from those of wild-type neurons. Kiaa0319 overexpression in cortex delays radial migration, but does not affect final neuronal position. However, knockout animals show subtle differences suggesting possible alterations in anxiety-related behaviour and in sensorimotor gating. Our results do not reveal a migration disorder in the mouse model, adding to the body of evidence available for Dcdc2 and Dyx1c1 that, unlike in the rat in utero knockdown models, the dyslexia-susceptibility candidate mouse homolog genes do not play an evident role in neuronal migration. However, KIAA0319 protein expression seems to be restricted to the brain, not only in early developmental stages but also in adult mice, indicative of a role of this protein in brain function. The constitutive and conditional knockout lines reported here will be useful tools for further functional analyses of Kiaa0319.
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Affiliation(s)
- Isabel Martinez-Garay
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, OX1 3QX, UK
- Division of Neuroscience, School of Biosciences, Cardiff University, Cardiff, UK
| | - Luiz G Guidi
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, OX1 3QX, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Zoe G Holloway
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Melissa A G Bailey
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, OX1 3QX, UK
| | - Daniel Lyngholm
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, OX1 3QX, UK
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK
| | - Tomasz Schneider
- School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK
| | - Timothy Donnison
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Simon J B Butt
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, OX1 3QX, UK
| | - Anthony P Monaco
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK.
- Office of the President, Ballou Hall, Tufts University, Medford, MA, 02155, USA.
| | - Zoltán Molnár
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, OX1 3QX, UK.
| | - Antonio Velayos-Baeza
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK.
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25
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Carrion-Castillo A, Maassen B, Franke B, Heister A, Naber M, van der Leij A, Francks C, Fisher SE. Association analysis of dyslexia candidate genes in a Dutch longitudinal sample. Eur J Hum Genet 2017; 25:452-460. [PMID: 28074887 PMCID: PMC5386414 DOI: 10.1038/ejhg.2016.194] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Revised: 11/03/2016] [Accepted: 11/22/2016] [Indexed: 11/08/2022] Open
Abstract
Dyslexia is a common specific learning disability with a substantive genetic component. Several candidate genes have been proposed to be implicated in dyslexia susceptibility, such as DYX1C1, ROBO1, KIAA0319, and DCDC2. Associations with variants in these genes have also been reported with a variety of psychometric measures tapping into the underlying processes that might be impaired in dyslexic people. In this study, we first conducted a literature review to select single nucleotide polymorphisms (SNPs) in dyslexia candidate genes that had been repeatedly implicated across studies. We then assessed the SNPs for association in the richly phenotyped longitudinal data set from the Dutch Dyslexia Program. We tested for association with several quantitative traits, including word and nonword reading fluency, rapid naming, phoneme deletion, and nonword repetition. In this, we took advantage of the longitudinal nature of the sample to examine if associations were stable across four educational time-points (from 7 to 12 years). Two SNPs in the KIAA0319 gene were nominally associated with rapid naming, and these associations were stable across different ages. Genetic association analysis with complex cognitive traits can be enriched through the use of longitudinal information on trait development.
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Affiliation(s)
- Amaia Carrion-Castillo
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Ben Maassen
- Centre for Language and Cognition Groningen, University of Groningen, Groningen, The Netherlands
- School of Behavioral and Cognitive Neurosciences, University Medical Centre Groningen, Groningen, The Netherlands
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Angelien Heister
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Marlies Naber
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Aryan van der Leij
- Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, The Netherlands
| | - 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
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
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26
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Franquinho F, Nogueira-Rodrigues J, Duarte JM, Esteves SS, Carter-Su C, Monaco AP, Molnár Z, Velayos-Baeza A, Brites P, Sousa MM. The Dyslexia-susceptibility Protein KIAA0319 Inhibits Axon Growth Through Smad2 Signaling. Cereb Cortex 2017; 27:1732-1747. [PMID: 28334068 PMCID: PMC5905272 DOI: 10.1093/cercor/bhx023] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Revised: 12/23/2016] [Accepted: 01/18/2017] [Indexed: 01/21/2023] Open
Abstract
KIAA0319 is a transmembrane protein associated with dyslexia with a presumed role in neuronal migration. Here we show that KIAA0319 expression is not restricted to the brain but also occurs in sensory and spinal cord neurons, increasing from early postnatal stages to adulthood and being downregulated by injury. This suggested that KIAA0319 participates in functions unrelated to neuronal migration. Supporting this hypothesis, overexpression of KIAA0319 repressed axon growth in hippocampal and dorsal root ganglia neurons; the intracellular domain of KIAA0319 was sufficient to elicit this effect. A similar inhibitory effect was observed in vivo as axon regeneration was impaired after transduction of sensory neurons with KIAA0319. Conversely, the deletion of Kiaa0319 in neurons increased neurite outgrowth in vitro and improved axon regeneration in vivo. At the mechanistic level, KIAA0319 engaged the JAK2-SH2B1 pathway to activate Smad2, which played a central role in KIAA0319-mediated repression of axon growth. In summary, we establish KIAA0319 as a novel player in axon growth and regeneration with the ability to repress the intrinsic growth potential of axons. This study describes a novel regulatory mechanism operating during peripheral nervous system and central nervous system axon growth, and offers novel targets for the development of effective therapies to promote axon regeneration.
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Affiliation(s)
- Filipa Franquinho
- Nerve Regeneration group, Instituto de Biologia Molecular e Celular – IBMC and Instituto de Inovação e Investigação em Saúde, University of Porto, 4200-135 Porto, Portugal
- Instituto de Ciências Biomédicas Abel Salazar – ICBAS, 4050-313 Porto, Portugal
| | - Joana Nogueira-Rodrigues
- Nerve Regeneration group, Instituto de Biologia Molecular e Celular – IBMC and Instituto de Inovação e Investigação em Saúde, University of Porto, 4200-135 Porto, Portugal
| | - Joana M. Duarte
- Nerve Regeneration group, Instituto de Biologia Molecular e Celular – IBMC and Instituto de Inovação e Investigação em Saúde, University of Porto, 4200-135 Porto, Portugal
| | - Sofia S. Esteves
- Nerve Regeneration group, Instituto de Biologia Molecular e Celular – IBMC and Instituto de Inovação e Investigação em Saúde, University of Porto, 4200-135 Porto, Portugal
| | - Christin Carter-Su
- Department of Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI 48109-22, USA
| | - Anthony P. Monaco
- The Wellcome Trust Centre for Human Genetics, Oxford OX3 7BN, UK
- Office of the President, Ballou Hall, Tufts University, Medford, MA 02155, USA
| | - Zoltán Molnár
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford OX1 3QX, UK
| | | | - Pedro Brites
- Nerve Regeneration group, Instituto de Biologia Molecular e Celular – IBMC and Instituto de Inovação e Investigação em Saúde, University of Porto, 4200-135 Porto, Portugal
| | - Mónica M. Sousa
- Nerve Regeneration group, Instituto de Biologia Molecular e Celular – IBMC and Instituto de Inovação e Investigação em Saúde, University of Porto, 4200-135 Porto, Portugal
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27
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Neurogenetics of developmental dyslexia: from genes to behavior through brain neuroimaging and cognitive and sensorial mechanisms. Transl Psychiatry 2017; 7:e987. [PMID: 28045463 PMCID: PMC5545717 DOI: 10.1038/tp.2016.240] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Accepted: 10/15/2016] [Indexed: 01/18/2023] Open
Abstract
Developmental dyslexia (DD) is a complex neurodevelopmental deficit characterized by impaired reading acquisition, in spite of adequate neurological and sensorial conditions, educational opportunities and normal intelligence. Despite the successful characterization of DD-susceptibility genes, we are far from understanding the molecular etiological pathways underlying the development of reading (dis)ability. By focusing mainly on clinical phenotypes, the molecular genetics approach has yielded mixed results. More optimally reduced measures of functioning, that is, intermediate phenotypes (IPs), represent a target for researching disease-associated genetic variants and for elucidating the underlying mechanisms. Imaging data provide a viable IP for complex neurobehavioral disorders and have been extensively used to investigate both morphological, structural and functional brain abnormalities in DD. Performing joint genetic and neuroimaging studies in humans is an emerging strategy to link DD-candidate genes to the brain structure and function. A limited number of studies has already pursued the imaging-genetics integration in DD. However, the results are still not sufficient to unravel the complexity of the reading circuit due to heterogeneous study design and data processing. Here, we propose an interdisciplinary, multilevel, imaging-genetic approach to disentangle the pathways from genes to behavior. As the presence of putative functional genetic variants has been provided and as genetic associations with specific cognitive/sensorial mechanisms have been reported, new hypothesis-driven imaging-genetic studies must gain momentum. This approach would lead to the optimization of diagnostic criteria and to the early identification of 'biologically at-risk' children, supporting the definition of adequate and well-timed prevention strategies and the implementation of novel, specific remediation approach.
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28
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Eicher JD, Montgomery AM, Akshoomoff N, Amaral DG, Bloss CS, Libiger O, Schork NJ, Darst BF, Casey BJ, Chang L, Ernst T, Frazier J, Kaufmann WE, Keating B, Kenet T, Kennedy D, Mostofsky S, Murray SS, Sowell ER, Bartsch H, Kuperman JM, Brown TT, Hagler DJ, Dale AM, Jernigan TL, Gruen JR. Dyslexia and language impairment associated genetic markers influence cortical thickness and white matter in typically developing children. Brain Imaging Behav 2016; 10:272-82. [PMID: 25953057 PMCID: PMC4639472 DOI: 10.1007/s11682-015-9392-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Dyslexia and language impairment (LI) are complex traits with substantial genetic components. We recently completed an association scan of the DYX2 locus, where we observed associations of markers in DCDC2, KIAA0319, ACOT13, and FAM65B with reading-, language-, and IQ-related traits. Additionally, the effects of reading-associated DYX3 markers were recently characterized using structural neuroimaging techniques. Here, we assessed the neuroimaging implications of associated DYX2 and DYX3 markers, using cortical volume, cortical thickness, and fractional anisotropy. To accomplish this, we examined eight DYX2 and three DYX3 markers in 332 subjects in the Pediatrics Imaging Neurocognition Genetics study. Imaging-genetic associations were examined by multiple linear regression, testing for influence of genotype on neuroimaging. Markers in DYX2 genes KIAA0319 and FAM65B were associated with cortical thickness in the left orbitofrontal region and global fractional anisotropy, respectively. KIAA0319 and ACOT13 were suggestively associated with overall fractional anisotropy and left pars opercularis cortical thickness, respectively. DYX3 markers showed suggestive associations with cortical thickness and volume measures in temporal regions. Notably, we did not replicate association of DYX3 markers with hippocampal measures. In summary, we performed a neuroimaging follow-up of reading-, language-, and IQ-associated DYX2 and DYX3 markers. DYX2 associations with cortical thickness may reflect variations in their role in neuronal migration. Furthermore, our findings complement gene expression and imaging studies implicating DYX3 markers in temporal regions. These studies offer insight into where and how DYX2 and DYX3 risk variants may influence neuroimaging traits. Future studies should further connect the pathways to risk variants associated with neuroimaging/neurocognitive outcomes.
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Affiliation(s)
- John D Eicher
- Department of Genetics, Yale University, New Haven, CT, 06520, USA
| | - Angela M Montgomery
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Natacha Akshoomoff
- Center for Human Development, University of California, La Jolla, San Diego, CA, 92037, USA
- Department of Psychiatry, University of California, La Jolla, San Diego, CA, 92037, USA
| | - David G Amaral
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, CA, 95817, USA
| | - Cinnamon S Bloss
- Scripps Genomic Medicine, Scripps Health, Scripps Translational Science Institute, La Jolla, CA, 92037, USA
| | - Ondrej Libiger
- Scripps Genomic Medicine, Scripps Health, Scripps Translational Science Institute, La Jolla, CA, 92037, USA
| | - Nicholas J Schork
- Scripps Genomic Medicine, Scripps Health, Scripps Translational Science Institute, La Jolla, CA, 92037, USA
| | - Burcu F Darst
- Scripps Genomic Medicine, Scripps Health, Scripps Translational Science Institute, La Jolla, CA, 92037, USA
| | - B J Casey
- Sackler Institute for Developmental Psychobiology, Weil Cornell Medical College, New York, NY, 10065, USA
| | - Linda Chang
- Department of Medicine, Queen's Medical Center, University of Hawaii, Honolulu, HI, 96813, USA
| | - Thomas Ernst
- Department of Medicine, Queen's Medical Center, University of Hawaii, Honolulu, HI, 96813, USA
| | - Jean Frazier
- Department of Psychiatry, University of Massachusetts Medical School, Boston, MA, 01655, USA
| | - Walter E Kaufmann
- Kennedy Krieger Institute, 707 N. Broadway, Baltimore, MD, 21205, USA
- Department of Neurology, Harvard Medical School, Children's Hospital Boston, Boston, MA, 02115, USA
| | - Brian Keating
- Department of Medicine, Queen's Medical Center, University of Hawaii, Honolulu, HI, 96813, USA
| | - Tal Kenet
- Department of Neurology and Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA
| | - David Kennedy
- Department of Psychiatry, University of Massachusetts Medical School, Boston, MA, 01655, USA
| | - Stewart Mostofsky
- Kennedy Krieger Institute, 707 N. Broadway, Baltimore, MD, 21205, USA
| | - Sarah S Murray
- Scripps Genomic Medicine, Scripps Health, Scripps Translational Science Institute, La Jolla, CA, 92037, USA
| | - Elizabeth R Sowell
- Department of Pediatrics, University of Southern California, Los Angeles, CA, 90027, USA
- Developmental Cognitive Neuroimaging Laboratory Children's Hospital, Los Angeles, CA, 90027, USA
| | - Hauke Bartsch
- Multimodal Imaging Laboratory, University of California, La Jolla, San Diego, CA, 92037, USA
| | - Joshua M Kuperman
- Multimodal Imaging Laboratory, University of California, La Jolla, San Diego, CA, 92037, USA
- Department of Neurosciences, University of California, La Jolla, San Diego, CA, 92037, USA
| | - Timothy T Brown
- Center for Human Development, University of California, La Jolla, San Diego, CA, 92037, USA
- Multimodal Imaging Laboratory, University of California, La Jolla, San Diego, CA, 92037, USA
- Department of Neurosciences, University of California, La Jolla, San Diego, CA, 92037, USA
| | - Donald J Hagler
- Multimodal Imaging Laboratory, University of California, La Jolla, San Diego, CA, 92037, USA
- Radiology University of California, La Jolla, San Diego, CA, 92037, USA
| | - Anders M Dale
- Department of Psychiatry, University of California, La Jolla, San Diego, CA, 92037, USA
- Multimodal Imaging Laboratory, University of California, La Jolla, San Diego, CA, 92037, USA
- Department of Neurosciences, University of California, La Jolla, San Diego, CA, 92037, USA
- Radiology University of California, La Jolla, San Diego, CA, 92037, USA
- Cognitive Science University of California, La Jolla, San Diego, CA, 92037, USA
| | - Terry L Jernigan
- Center for Human Development, University of California, La Jolla, San Diego, CA, 92037, USA
- Department of Psychiatry, University of California, La Jolla, San Diego, CA, 92037, USA
- Radiology University of California, La Jolla, San Diego, CA, 92037, USA
- Cognitive Science University of California, La Jolla, San Diego, CA, 92037, USA
| | - Jeffrey R Gruen
- Department of Genetics, Yale University, New Haven, CT, 06520, USA.
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT, 06520, USA.
- Department of Investigative, School of Medicine, Medicine Yale University, New Haven, CT, 06520, USA.
- Department of Pediatrics, Genetics, and Investigative Medicine, Yale Child Health Research Center, 464 Congress Avenue, New Haven, CT, 06520-8081, USA.
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29
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Jasińska KK, Molfese PJ, Kornilov SA, Mencl WE, Frost SJ, Lee M, Pugh KR, Grigorenko EL, Landi N. The BDNF Val66Met Polymorphism Influences Reading Ability and Patterns of Neural Activation in Children. PLoS One 2016; 11:e0157449. [PMID: 27551971 PMCID: PMC4995017 DOI: 10.1371/journal.pone.0157449] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Accepted: 05/31/2016] [Indexed: 02/06/2023] Open
Abstract
Understanding how genes impact the brain’s functional activation for learning and cognition during development remains limited. We asked whether a common genetic variant in the BDNF gene (the Val66Met polymorphism) modulates neural activation in the young brain during a critical period for the emergence and maturation of the neural circuitry for reading. In animal models, the bdnf variation has been shown to be associated with the structure and function of the developing brain and in humans it has been associated with multiple aspects of cognition, particularly memory, which are relevant for the development of skilled reading. Yet, little is known about the impact of the Val66Met polymorphism on functional brain activation in development, either in animal models or in humans. Here, we examined whether the BDNF Val66Met polymorphism (dbSNP rs6265) is associated with children’s (age 6–10) neural activation patterns during a reading task (n = 81) using functional magnetic resonance imaging (fMRI), genotyping, and standardized behavioral assessments of cognitive and reading development. Children homozygous for the Val allele at the SNP rs6265 of the BDNF gene outperformed Met allele carriers on reading comprehension and phonological memory, tasks that have a strong memory component. Consistent with these behavioral findings, Met allele carriers showed greater activation in reading–related brain regions including the fusiform gyrus, the left inferior frontal gyrus and left superior temporal gyrus as well as greater activation in the hippocampus during a word and pseudoword reading task. Increased engagement of memory and spoken language regions for Met allele carriers relative to Val/Val homozygotes during reading suggests that Met carriers have to exert greater effort required to retrieve phonological codes.
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Affiliation(s)
- Kaja K. Jasińska
- Haskins Laboratories, New Haven, CT, United States of America
- * E-mail:
| | - Peter J. Molfese
- Haskins Laboratories, New Haven, CT, United States of America
- University of Connecticut, Storrs, CT, United States of America
| | - Sergey A. Kornilov
- Haskins Laboratories, New Haven, CT, United States of America
- University of Houston, Houston, TX, United States of America
- Baylor College of Medicine, Houston, TX, United States of America
- Moscow State University, Moscow, Russian Federation
- Saint-Petersburg State University, Saint-Petersburg, Russian Federation
| | - W. Einar Mencl
- Haskins Laboratories, New Haven, CT, United States of America
- Yale University, New Haven, CT, United States of America
| | | | - Maria Lee
- Yale University, New Haven, CT, United States of America
| | - Kenneth R. Pugh
- Haskins Laboratories, New Haven, CT, United States of America
- University of Connecticut, Storrs, CT, United States of America
- Yale University, New Haven, CT, United States of America
| | - Elena L. Grigorenko
- Haskins Laboratories, New Haven, CT, United States of America
- Yale University, New Haven, CT, United States of America
- University of Houston, Houston, TX, United States of America
- Baylor College of Medicine, Houston, TX, United States of America
- Saint-Petersburg State University, Saint-Petersburg, Russian Federation
- Moscow City University for Psychology and Education, Moscow, Russian Federation
| | - Nicole Landi
- Haskins Laboratories, New Haven, CT, United States of America
- University of Connecticut, Storrs, CT, United States of America
- Yale University, New Haven, CT, United States of America
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30
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Shao S, Niu Y, Zhang X, Kong R, Wang J, Liu L, Luo X, Zhang J, Song R. Opposite Associations between Individual KIAA0319 Polymorphisms and Developmental Dyslexia Risk across Populations: A Stratified Meta-Analysis by the Study Population. Sci Rep 2016; 6:30454. [PMID: 27464509 PMCID: PMC4964335 DOI: 10.1038/srep30454] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2015] [Accepted: 07/06/2016] [Indexed: 02/08/2023] Open
Abstract
KIAA0319 at the DYX2 locus is one of the most extensively studied candidate genes for developmental dyslexia (DD) owing to its important role in neuronal migration. Previous research on associations between KIAA0319 genetic variations and DD has yielded inconsistent results. It is important to establish a more precise estimate of the DD risk associated with these genetic variations. We carried out a meta-analysis of association studies involving KIAA0319 polymorphisms and DD risk. The results of pooled analysis indicated that none of the six investigated markers in or near the KIAA0319 gene are associated with DD. However, a stratified analysis by the study population revealed opposite associations involving KIAA0319 rs4504469 in European and Asian subgroups. The stratified analysis also showed that the KIAA0319 rs9461045 minor allele (T allele) has a protective effect in Asians. This meta-analysis has allowed us to establish the effects of specific KIAA0319 polymorphisms on DD risk with greater precision, as they vary across populations; analyzing one single nucleotide polymorphism at a time could not fully explain the genetic association for DD.
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Affiliation(s)
- Shanshan Shao
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yanfeng Niu
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xiaohui Zhang
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Rui Kong
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jia Wang
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Lingfei Liu
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xiu Luo
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jiajia Zhang
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, 29208, USA
| | - Ranran Song
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
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31
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Tammimies K, Bieder A, Lauter G, Sugiaman-Trapman D, Torchet R, Hokkanen ME, Burghoorn J, Castrén E, Kere J, Tapia-Páez I, Swoboda P. Ciliary dyslexia candidate genes DYX1C1 and DCDC2 are regulated by Regulatory Factor X (RFX) transcription factors through X-box promoter motifs. FASEB J 2016; 30:3578-3587. [PMID: 27451412 PMCID: PMC5024701 DOI: 10.1096/fj.201500124rr] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Accepted: 07/05/2016] [Indexed: 11/11/2022]
Abstract
DYX1C1, DCDC2, and KIAA0319 are
three of the most replicated dyslexia candidate genes (DCGs). Recently, these DCGs
were implicated in functions at the cilium. Here, we investigate the regulation of
these DCGs by Regulatory Factor X transcription factors (RFX TFs), a gene family
known for transcriptionally regulating ciliary genes. We identify conserved X-box
motifs in the promoter regions of DYX1C1, DCDC2, and
KIAA0319 and demonstrate their functionality, as well as the
ability to recruit RFX TFs using reporter gene and electrophoretic mobility shift
assays. Furthermore, we uncover a complex regulation pattern between
RFX1, RFX2, and RFX3 and their
significant effect on modifying the endogenous expression of DYX1C1
and DCDC2 in a human retinal pigmented epithelial cell line
immortalized with hTERT (hTERT-RPE1). In addition, induction of ciliogenesis
increases the expression of RFX TFs and DCGs. At the protein level, we show that
endogenous DYX1C1 localizes to the base of the cilium, whereas DCDC2 localizes along
the entire axoneme of the cilium, thereby validating earlier localization studies
using overexpression models. Our results corroborate the emerging role of DCGs in
ciliary function and characterize functional noncoding elements, X-box promoter
motifs, in DCG promoter regions, which thus can be targeted for mutation screening in
dyslexia and ciliopathies associated with these genes.—Tammimies, K., Bieder,
A., Lauter, G., Sugiaman-Trapman, D., Torchet, R., Hokkanen, M.-E., Burghoorn, J.,
Castrén, E., Kere, J., Tapia-Páez, I., Swoboda, P. Ciliary dyslexia
candidate genes DYX1C1 and DCDC2 are regulated by
Regulatory Factor (RF) X transcription factors through X-box promoter motifs.
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Affiliation(s)
- Kristiina Tammimies
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden; Center of Neurodevelopmental Disorders (KIND), Pediatric Neuropsychiatry Unit, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Andrea Bieder
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
| | - Gilbert Lauter
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
| | | | - Rachel Torchet
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
| | | | - Jan Burghoorn
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
| | - Eero Castrén
- Neuroscience Center, University of Helsinki, Helsinki, Finland
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden; Molecular Neurology Research Program, University of Helsinki, Helsinki, Finland; and Folkhälsan Institute of Genetics, Helsinki, Finland
| | - Isabel Tapia-Páez
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden;
| | - Peter Swoboda
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden;
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KIAA0319 gene polymorphisms are associated with developmental dyslexia in Chinese Uyghur children. J Hum Genet 2016; 61:745-52. [PMID: 27098879 PMCID: PMC4999827 DOI: 10.1038/jhg.2016.40] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Revised: 03/26/2016] [Accepted: 03/27/2016] [Indexed: 12/18/2022]
Abstract
The gene KIAA0319 has been reported to be associated with developmental dyslexia (DD) in previous studies, although the results have not always been consistent. However, few studies have been conducted in Uyghur populations. In the present study, we aimed to investigate the association of KIAA0319 polymorphisms and DD in individuals of Uyghurian descent. We used a custom-by-design 48-Plex SNPscan Kit to genotype 18 single-nucleotide polymorphisms (SNPs) of KIAA0319 in a group of 196 children with dyslexia and 196 controls of Uyghur descent aged 8-12 years. As a result, 7 SNPs (Pmin=0.001) of KIAA0319 had nominal significant differences between the cases and controls under specific genotypic models. The two SNPs rs6935076 (P=0.020 under dominant model; P=0.028 under additive model) and rs3756821 (P=0.021 under additive model) remained significantly associated with dyslexia after Bonferroni correction. Linkage disequilibrium analysis showed three blocks within KIAA0319, and only a 10-SNP haplotype in block 3 was present at significantly different frequencies in the dyslexic children and controls. This study indicated that genetic polymorphisms of KIAA0319 are associated with an increased risk of DD in the Uyghur population.
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Paracchini S, Diaz R, Stein J. Advances in Dyslexia Genetics—New Insights Into the Role of Brain Asymmetries. ADVANCES IN GENETICS 2016; 96:53-97. [DOI: 10.1016/bs.adgen.2016.08.003] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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Powers NR, Eicher JD, Miller LL, Kong Y, Smith SD, Pennington BF, Willcutt EG, Olson RK, Ring SM, Gruen JR. The regulatory element READ1 epistatically influences reading and language, with both deleterious and protective alleles. J Med Genet 2015; 53:163-71. [PMID: 26660103 PMCID: PMC4789805 DOI: 10.1136/jmedgenet-2015-103418] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Accepted: 10/14/2015] [Indexed: 01/05/2023]
Abstract
Background Reading disability (RD) and language impairment (LI) are heritable learning disabilities that obstruct acquisition and use of written and spoken language, respectively. We previously reported that two risk haplotypes, each in strong linkage disequilibrium (LD) with an allele of READ1, a polymorphic compound short tandem repeat within intron 2 of risk gene DCDC2, are associated with RD and LI. Additionally, we showed a non-additive genetic interaction between READ1 and KIAHap, a previously reported risk haplotype in risk gene KIAA0319, and that READ1 binds the transcriptional regulator ETV6. Objective To examine the hypothesis that READ1 is a transcriptional regulator of KIAA0319. Methods We characterised associations between READ1 alleles and RD and LI in a large European cohort, and also assessed interactions between READ1 and KIAHap and their effect on performance on measures of reading, language and IQ. We also used family-based data to characterise the genetic interaction, and chromatin conformation capture (3C) to investigate the possibility of a physical interaction between READ1 and KIAHap. Results and conclusions READ1 and KIAHap show interdependence—READ1 risk alleles synergise with KIAHap, whereas READ1 protective alleles act epistatically to negate the effects of KIAHap. The family data suggest that these variants interact in trans genetically, while the 3C results show that a region of DCDC2 containing READ1 interacts physically with the region upstream of KIAA0319. These data support a model in which READ1 regulates KIAA0319 expression through KIAHap and in which the additive effects of READ1 and KIAHap alleles are responsible for the trans genetic interaction.
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Affiliation(s)
- Natalie R Powers
- Investigate Medicine, Yale University, New Haven, Connecticut, USA Department of Pediatrics, Yale University, New Haven, Connecticut, USA
| | - John D Eicher
- Investigate Medicine, Yale University, New Haven, Connecticut, USA
| | - Laura L Miller
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Yong Kong
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, USA W.M. Keck Foundation Biotechnology Resource Laboratory, Yale University, New Haven, Connecticut, USA
| | - Shelley D Smith
- Departments of Pediatrics and Developmental Neuroscience, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | | | - Erik G Willcutt
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA Departments of Psychology and Neuroscience, University of Colorado, Boulder, Colorado, USA
| | - Richard K Olson
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA Departments of Psychology and Neuroscience, University of Colorado, Boulder, Colorado, USA
| | - Susan M Ring
- School of Social and Community Medicine, University of Bristol, Bristol, UK MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Jeffrey R Gruen
- Investigate Medicine, Yale University, New Haven, Connecticut, USA Department of Pediatrics, Yale University, New Haven, Connecticut, USA Department of Investigative Medicine, Yale University, New Haven, Connecticut, USA
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Abstract
Language is a defining characteristic of the human species, but its foundations remain mysterious. Heritable disorders offer a gateway into biological underpinnings, as illustrated by the discovery that FOXP2 disruptions cause a rare form of speech and language impairment. The genetic architecture underlying language-related disorders is complex, and although some progress has been made, it has proved challenging to pinpoint additional relevant genes with confidence. Next-generation sequencing and genome-wide association studies are revolutionizing understanding of the genetic bases of other neurodevelopmental disorders, like autism and schizophrenia, and providing fundamental insights into the molecular networks crucial for typical brain development. We discuss how a similar genomic perspective, brought to the investigation of language-related phenotypes, promises to yield equally informative discoveries. Moreover, we outline how follow-up studies of genetic findings using cellular systems and animal models can help to elucidate the biological mechanisms involved in the development of brain circuits supporting language.
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Affiliation(s)
- Sarah A Graham
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, The Netherlands;
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6525 XD Nijmegen, The Netherlands; .,Donders Institute for Brain, Cognition and Behavior, Radboud University, 6525 EN Nijmegen, The Netherlands;
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36
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Barnett CP, van Bon BWM. Monogenic and chromosomal causes of isolated speech and language impairment. J Med Genet 2015; 52:719-29. [DOI: 10.1136/jmedgenet-2015-103161] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Accepted: 06/11/2015] [Indexed: 12/26/2022]
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37
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An assessment of gene-by-gene interactions as a tool to unfold missing heritability in dyslexia. Hum Genet 2015; 134:749-60. [DOI: 10.1007/s00439-015-1555-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2014] [Accepted: 04/12/2015] [Indexed: 12/24/2022]
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38
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Insights into the genetic foundations of human communication. Neuropsychol Rev 2015; 25:3-26. [PMID: 25597031 DOI: 10.1007/s11065-014-9277-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2014] [Accepted: 12/22/2014] [Indexed: 12/19/2022]
Abstract
The human capacity to acquire sophisticated language is unmatched in the animal kingdom. Despite the discontinuity in communicative abilities between humans and other primates, language is built on ancient genetic foundations, which are being illuminated by comparative genomics. The genetic architecture of the language faculty is also being uncovered by research into neurodevelopmental disorders that disrupt the normally effortless process of language acquisition. In this article, we discuss the strategies that researchers are using to reveal genetic factors contributing to communicative abilities, and review progress in identifying the relevant genes and genetic variants. The first gene directly implicated in a speech and language disorder was FOXP2. Using this gene as a case study, we illustrate how evidence from genetics, molecular cell biology, animal models and human neuroimaging has converged to build a picture of the role of FOXP2 in neurodevelopment, providing a framework for future endeavors to bridge the gaps between genes, brains and behavior.
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39
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Sun Y, Gao Y, Zhou Y, Chen H, Wang G, Xu J, Xia J, Huen MSY, Siok WT, Jiang Y, Tan LH. Association study of developmental dyslexia candidate genes DCDC2 and KIAA0319 in Chinese population. Am J Med Genet B Neuropsychiatr Genet 2014; 165B:627-34. [PMID: 25230923 DOI: 10.1002/ajmg.b.32267] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2014] [Accepted: 07/21/2014] [Indexed: 11/05/2022]
Abstract
Developmental dyslexia (DD) is characterized by difficulties in reading and spelling independent of intelligence, educational backgrounds and neurological injuries. Increasing evidences supported DD as a complex genetic disorder and identified four DD candidate genes namely DYX1C1, DCDC2, KIAA0319 and ROBO1. As such, DCDC2 and KIAA0319 are located in DYX2, one of the most studied DD susceptibility loci. However, association of these two genes with DD was inconclusive across different populations. Given the linguistic and genetic differences between Chinese and other populations, it is worthwhile to investigate association of DCDC2 and KIAA0319 with Chinese dyslexic children. Here, we selected 60 tag SNPs covering DCDC2 and KIAA0319 followed by high density genotyping in a large unrelated Chinese cohort with 502 dyslexic cases and 522 healthy controls. Several SNPs (Pmin = 0.0192) of DCDC2 and KIAA0319 as well as a four-maker haplotype (Padjusted = 0.0289, Odds Ratio (OR) = 1.3400) of KIAA0319 showed nominal association with DD. However, none of these results survived Bonferroni correction for multiple comparisons. Thus, the association of DCDC2 and KIAA0319 with DD in Chinese population should be further validated and their contribution to DD etiology and pathology should be interpreted with caution.
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Affiliation(s)
- Yimin Sun
- The State Key Laboratory Breeding Base-Shenzhen Key Laboratory of Chemical Biology, The Graduate School at Shenzhen, Tsinghua University, Shenzhen, China; Medical Systems Biology Research Center, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China; National Engineering Research Center for Beijing Biochip Technology, Beijing, China; CapitalBio Corporation, Beijing, China
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40
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Bohland JW, Myers EM, Kim E. An informatics approach to integrating genetic and neurological data in speech and language neuroscience. Neuroinformatics 2014; 12:39-62. [PMID: 23949335 DOI: 10.1007/s12021-013-9201-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
A number of heritable disorders impair the normal development of speech and language processes and occur in large numbers within the general population. While candidate genes and loci have been identified, the gap between genotype and phenotype is vast, limiting current understanding of the biology of normal and disordered processes. This gap exists not only in our scientific knowledge, but also in our research communities, where genetics researchers and speech, language, and cognitive scientists tend to operate independently. Here we describe a web-based, domain-specific, curated database that represents information about genotype-phenotype relations specific to speech and language disorders, as well as neuroimaging results demonstrating focal brain differences in relevant patients versus controls. Bringing these two distinct data types into a common database ( http://neurospeech.org/sldb ) is a first step toward bringing molecular level information into cognitive and computational theories of speech and language function. One bridge between these data types is provided by densely sampled profiles of gene expression in the brain, such as those provided by the Allen Brain Atlases. Here we present results from exploratory analyses of human brain gene expression profiles for genes implicated in speech and language disorders, which are annotated in our database. We then discuss how such datasets can be useful in the development of computational models that bridge levels of analysis, necessary to provide a mechanistic understanding of heritable language disorders. We further describe our general approach to information integration, discuss important caveats and considerations, and offer a specific but speculative example based on genes implicated in stuttering and basal ganglia function in speech motor control.
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Affiliation(s)
- Jason W Bohland
- Departments of Health Sciences and Speech, Language, and Hearing Sciences, Boston University, 635 Commonwealth Ave, Room 403, Boston, MA, 02215, USA,
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Lim CKP, Wong AMB, Ho CSH, Waye MMY. A common haplotype of KIAA0319 contributes to the phonological awareness skill in Chinese children. Behav Brain Funct 2014; 10:23. [PMID: 25015435 PMCID: PMC4114142 DOI: 10.1186/1744-9081-10-23] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2014] [Accepted: 06/27/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Previous studies have shown that KIAA0319 is a candidate gene for dyslexia in western populations. In view of the different languages used in Caucasian and Chinese populations, the aim of the present study was to investigate whether there is also an association of KIAA0319 in Chinese children with dyslexia and/or to the language-related cognitive skills. METHOD AND RESULTS A total of twenty six single nucleotide polymorphisms (SNPs) were genotyped from three hundred and ninety three individuals from 131 Chinese families. Four of the SNPs have been reported in the literature and twenty two being tag SNPs at KIAA0319. Analysis for allelic and haplotypic associations was performed with the UNPHASED program and multiple testing was corrected using permutation. Results indicate that KIAA0319 is not associated with Chinese children with dyslexia but a haplotype consisting of rs2760157 and rs807507 SNPs were significantly associated with an onset detection test, a measure of phonological awareness (pnominal = 6.85 10-5 and pcorrected = 0.0029). CONCLUSION In conclusion, our findings suggest that KIAA0319 is associated with a reading-related cognitive skill.
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Affiliation(s)
| | | | | | - Mary Mui-Yee Waye
- Croucher Laboratory for Human Genomics, School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, NT, Hong Kong.
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42
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Kato M, Okanoya K, Koike T, Sasaki E, Okano H, Watanabe S, Iriki A. Human speech- and reading-related genes display partially overlapping expression patterns in the marmoset brain. BRAIN AND LANGUAGE 2014; 133:26-38. [PMID: 24769279 DOI: 10.1016/j.bandl.2014.03.007] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2013] [Revised: 03/02/2014] [Accepted: 03/22/2014] [Indexed: 06/03/2023]
Abstract
Language is a characteristic feature of human communication. Several familial language impairments have been identified, and candidate genes for language impairments already isolated. Studies comparing expression patterns of these genes in human brain are necessary to further understanding of these genes. However, it is difficult to examine gene expression in human brain. In this study, we used a non-human primate (common marmoset; Callithrix jacchus) as a biological model of the human brain to investigate expression patterns of human speech- and reading-related genes. Expression patterns of speech disorder- (FoxP2, FoxP1, CNTNAP2, and CMIP) and dyslexia- (ROBO1, DCDC2, and KIAA0319) related genes were analyzed. We found the genes displayed overlapping expression patterns in the ocular, auditory, and motor systems. Our results enhance understanding of the molecular mechanisms underlying language impairments.
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Affiliation(s)
- Masaki Kato
- Laboratory for Symbolic Cognitive Development, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan; Laboratory for Biolinguistics, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan; Center for Advanced Research on Logic and Sensibility (CARLS), Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan.
| | - Kazuo Okanoya
- Laboratory for Biolinguistics, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Taku Koike
- Laboratory for Symbolic Cognitive Development, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Erika Sasaki
- Department of Applied Developmental Biology, Central Institute for Experimental Animals, 3-25-12 Tonomachi, Kawasaki, Kanagawa 210-0821, Japan; Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan; KEIO-RIKEN Research Center for Human Cognition, Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan
| | - Hideyuki Okano
- Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan; KEIO-RIKEN Research Center for Human Cognition, Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan; Keio University Joint Research Laboratory, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Shigeru Watanabe
- KEIO-RIKEN Research Center for Human Cognition, Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan; Center for Advanced Research on Logic and Sensibility (CARLS), Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan
| | - Atsushi Iriki
- Laboratory for Symbolic Cognitive Development, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan; KEIO-RIKEN Research Center for Human Cognition, Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan; Center for Advanced Research on Logic and Sensibility (CARLS), Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan.
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43
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Centanni TM, Chen F, Booker AM, Engineer CT, Sloan AM, Rennaker RL, LoTurco JJ, Kilgard MP. Speech sound processing deficits and training-induced neural plasticity in rats with dyslexia gene knockdown. PLoS One 2014; 9:e98439. [PMID: 24871331 PMCID: PMC4037188 DOI: 10.1371/journal.pone.0098439] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2013] [Accepted: 05/02/2014] [Indexed: 11/18/2022] Open
Abstract
In utero RNAi of the dyslexia-associated gene Kiaa0319 in rats (KIA-) degrades cortical responses to speech sounds and increases trial-by-trial variability in onset latency. We tested the hypothesis that KIA- rats would be impaired at speech sound discrimination. KIA- rats needed twice as much training in quiet conditions to perform at control levels and remained impaired at several speech tasks. Focused training using truncated speech sounds was able to normalize speech discrimination in quiet and background noise conditions. Training also normalized trial-by-trial neural variability and temporal phase locking. Cortical activity from speech trained KIA- rats was sufficient to accurately discriminate between similar consonant sounds. These results provide the first direct evidence that assumed reduced expression of the dyslexia-associated gene KIAA0319 can cause phoneme processing impairments similar to those seen in dyslexia and that intensive behavioral therapy can eliminate these impairments.
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Affiliation(s)
- Tracy M. Centanni
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Texas, United States of America
| | - Fuyi Chen
- Physiology and Neurobiology, University of Connecticut, Storrs, Connecticut, United States of America
| | - Anne M. Booker
- Physiology and Neurobiology, University of Connecticut, Storrs, Connecticut, United States of America
| | - Crystal T. Engineer
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Texas, United States of America
| | - Andrew M. Sloan
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Texas, United States of America
| | - Robert L. Rennaker
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Texas, United States of America
| | - Joseph J. LoTurco
- Physiology and Neurobiology, University of Connecticut, Storrs, Connecticut, United States of America
| | - Michael P. Kilgard
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Texas, United States of America
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44
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Mascheretti S, Riva V, Giorda R, Beri S, Lanzoni LFE, Cellino MR, Marino C. KIAA0319 and ROBO1: evidence on association with reading and pleiotropic effects on language and mathematics abilities in developmental dyslexia. J Hum Genet 2014; 59:189-97. [PMID: 24430574 DOI: 10.1038/jhg.2013.141] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2013] [Revised: 12/13/2013] [Accepted: 12/22/2013] [Indexed: 01/17/2023]
Abstract
Substantial heritability has been reported for developmental dyslexia (DD), and KIAA0319 and ROBO1 appear as more than plausible candidate susceptibility genes for this developmental disorder. Converging evidence indicates that developmental difficulties in oral language and mathematics can predate or co-occur with DD, and substantial genetic correlations have been found between these abilities and reading traits. In this study, we explored the role of eight single-nucleotide polymorphisms spanning within KIAA0319 and ROBO1 genes, and DD as a dichotomic trait, related neuropsychological phenotypes and comorbid language and mathematical (dis)abilities in a large cohort of 493 Italian nuclear families ascertained through a proband with a diagnosis of DD. Marker-trait association was analyzed by implementing a general test of family-based association for quantitative traits (that is, the Quantitative Transmission Disequilibrium Test, version 2.5.1). By providing evidence for significant association with mathematics skills, our data add further result in support of ROBO1 contributing to the deficits in DD and its correlated phenotypes. Taken together, our findings shed further light into the etiologic basis and the phenotypic complexity of this developmental disorder.
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Affiliation(s)
- Sara Mascheretti
- Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Lecco, Italy
| | - Valentina Riva
- Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Lecco, Italy
| | - Roberto Giorda
- Molecular Biology Lab, Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Lecco, Italy
| | - Silvana Beri
- Molecular Biology Lab, Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Lecco, Italy
| | | | - Maria Rosaria Cellino
- Centro Regionale di Riferimento per i Disturbi dell'Apprendimento-CRRDA, ULSS 20, Verona, Italy
| | - Cecilia Marino
- 1] Centre de recherche de l'Institut universitaire en santé mentale de Québec, Québec, QC, Canada [2] Département de Psychiatrie et Neurosciences, Faculté de Médecine, Université Laval, Québec, QC, Canada
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45
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Characterization of the DYX2 locus on chromosome 6p22 with reading disability, language impairment, and IQ. Hum Genet 2014; 133:869-81. [PMID: 24509779 PMCID: PMC4053598 DOI: 10.1007/s00439-014-1427-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2013] [Accepted: 01/28/2014] [Indexed: 01/05/2023]
Abstract
Reading disability (RD) and language impairment (LI) are common neurodevelopmental disorders with moderately strong genetic components and lifelong implications. RD and LI are marked by unexpected difficulty acquiring and processing written and verbal language, respectively, despite adequate opportunity and instruction. RD and LI—and their associated deficits—are complex, multifactorial, and often comorbid. Genetic studies have repeatedly implicated the DYX2 locus, specifically the genes DCDC2 and KIAA0319, in RD, with recent studies suggesting they also influence LI, verbal language, and cognition. Here, we characterize the relationship of the DYX2 locus with RD, LI, and IQ. To accomplish this, we developed a marker panel densely covering the 1.4 Mb DYX2 locus and assessed association with reading, language, and IQ measures in subjects from the Avon Longitudinal Study of Parents and Children. We then replicated associations in three independent, disorder-selected cohorts. As expected, there were associations with known RD risk genes KIAA0319 and DCDC2. In addition, we implicated markers in or near other DYX2 genes, including TDP2, ACOT13, C6orf62, FAM65B, and CMAHP. However, the LD structure of the locus suggests that associations within TDP2, ACOT13, and C6orf62 are capturing a previously reported risk variant in KIAA0319. Our results further substantiate the candidacy of KIAA0319 and DCDC2 as major effector genes in DYX2, while proposing FAM65B and CMAHP as new DYX2 candidate genes. Association of DYX2 with multiple neurobehavioral traits suggests risk variants have functional consequences affecting multiple neurological processes. Future studies should dissect these functional, possibly interactive relationships of DYX2 candidate genes.
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Eicher JD, Powers NR, Miller LL, Akshoomoff N, Amaral DG, Bloss CS, Libiger O, Schork NJ, Darst BF, Casey BJ, Chang L, Ernst T, Frazier J, Kaufmann WE, Keating B, Kenet T, Kennedy D, Mostofsky S, Murray SS, Sowell ER, Bartsch H, Kuperman JM, Brown TT, Hagler DJ, Dale AM, Jernigan TL, St Pourcain B, Davey Smith G, Ring SM, Gruen JR. Genome-wide association study of shared components of reading disability and language impairment. GENES, BRAIN, AND BEHAVIOR 2013; 12:792-801. [PMID: 24024963 PMCID: PMC3904347 DOI: 10.1111/gbb.12085] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2013] [Revised: 08/16/2013] [Accepted: 09/09/2013] [Indexed: 11/29/2022]
Abstract
Written and verbal languages are neurobehavioral traits vital to the development of communication skills. Unfortunately, disorders involving these traits-specifically reading disability (RD) and language impairment (LI)-are common and prevent affected individuals from developing adequate communication skills, leaving them at risk for adverse academic, socioeconomic and psychiatric outcomes. Both RD and LI are complex traits that frequently co-occur, leading us to hypothesize that these disorders share genetic etiologies. To test this, we performed a genome-wide association study on individuals affected with both RD and LI in the Avon Longitudinal Study of Parents and Children. The strongest associations were seen with markers in ZNF385D (OR = 1.81, P = 5.45 × 10(-7) ) and COL4A2 (OR = 1.71, P = 7.59 × 10(-7) ). Markers within NDST4 showed the strongest associations with LI individually (OR = 1.827, P = 1.40 × 10(-7) ). We replicated association of ZNF385D using receptive vocabulary measures in the Pediatric Imaging Neurocognitive Genetics study (P = 0.00245). We then used diffusion tensor imaging fiber tract volume data on 16 fiber tracts to examine the implications of replicated markers. ZNF385D was a predictor of overall fiber tract volumes in both hemispheres, as well as global brain volume. Here, we present evidence for ZNF385D as a candidate gene for RD and LI. The implication of transcription factor ZNF385D in RD and LI underscores the importance of transcriptional regulation in the development of higher order neurocognitive traits. Further study is necessary to discern target genes of ZNF385D and how it functions within neural development of fluent language.
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Affiliation(s)
- J D Eicher
- Department of Genetics, Yale UniversityNew Haven, CT, USA
| | - N R Powers
- Department of Genetics, Yale UniversityNew Haven, CT, USA
| | - L L Miller
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of BristolBristol, UK
| | - N Akshoomoff
- Center for Human Development, University of California at San DiegoLa Jolla, CA, USA
- Department of Psychiatry, University of California at San DiegoLa Jolla, CA, USA
| | - D G Amaral
- Department of Psychiatry and Behavioral Sciences, University of CaliforniaDavis, CA, USA
| | - C S Bloss
- Scripps Genomic Medicine, Scripps Translational Science Institute and Scripps HealthLa Jolla, CA, USA
| | - O Libiger
- Scripps Genomic Medicine, Scripps Translational Science Institute and Scripps HealthLa Jolla, CA, USA
| | - N J Schork
- Scripps Genomic Medicine, Scripps Translational Science Institute and Scripps HealthLa Jolla, CA, USA
| | - B F Darst
- Scripps Genomic Medicine, Scripps Translational Science Institute and Scripps HealthLa Jolla, CA, USA
| | - B J Casey
- Sackler Institute for Developmental Psychobiology, Weil Cornell Medical CollegeNew York, NY, USA
| | - L Chang
- Department of Medicine, University of Hawaii and Queen's Medical CenterHonolulu, HI, USA
| | - T Ernst
- Department of Medicine, University of Hawaii and Queen's Medical CenterHonolulu, HI, USA
| | - J Frazier
- Department of Psychiatry, University of Massachusetts Medical SchoolBoston, MA, USA
| | - W E Kaufmann
- Kennedy Krieger InstituteBaltimore, MD, USA
- Department of Neurology, Children's Hospital Boston, Harvard Medical SchoolBoston, MA, USA
| | - B Keating
- Department of Medicine, University of Hawaii and Queen's Medical CenterHonolulu, HI, USA
| | - T Kenet
- Department of Neurology and Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General HospitalCharlestown, MA, USA
| | - D Kennedy
- Department of Psychiatry, University of Massachusetts Medical SchoolBoston, MA, USA
| | | | - S S Murray
- Scripps Genomic Medicine, Scripps Translational Science Institute and Scripps HealthLa Jolla, CA, USA
| | - E R Sowell
- Department of Pediatrics, University of Southern CaliforniaLos Angeles, CA, USA
- Developmental Cognitive Neuroimaging Laboratory, Children's HospitalLos Angeles, CA, USA
| | - H Bartsch
- Multimodal Imaging Laboratory, University of California at San DiegoLa Jolla, CA, USA
| | - J M Kuperman
- Multimodal Imaging Laboratory, University of California at San DiegoLa Jolla, CA, USA
- Department of Neurosciences, University of California at San DiegoLa Jolla, CA, USA
| | - T T Brown
- Center for Human Development, University of California at San DiegoLa Jolla, CA, USA
- Multimodal Imaging Laboratory, University of California at San DiegoLa Jolla, CA, USA
- Department of Neurosciences, University of California at San DiegoLa Jolla, CA, USA
| | - D J Hagler
- Multimodal Imaging Laboratory, University of California at San DiegoLa Jolla, CA, USA
- Department of Radiology, University of California at San DiegoLa Jolla, CA, USA
| | - A M Dale
- Department of Psychiatry, University of California at San DiegoLa Jolla, CA, USA
- Multimodal Imaging Laboratory, University of California at San DiegoLa Jolla, CA, USA
- Department of Neurosciences, University of California at San DiegoLa Jolla, CA, USA
- Department of Radiology, University of California at San DiegoLa Jolla, CA, USA
- Department of Cognitive Science, University of California at San DiegoLa Jolla, CA, USA
| | - T L Jernigan
- Center for Human Development, University of California at San DiegoLa Jolla, CA, USA
- Department of Psychiatry, University of California at San DiegoLa Jolla, CA, USA
- Department of Radiology, University of California at San DiegoLa Jolla, CA, USA
- Department of Cognitive Science, University of California at San DiegoLa Jolla, CA, USA
| | - B St Pourcain
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of BristolBristol, UK
- School of Oral and Dental Sciences, University of BristolBristol, UK
- School of Experimental Psychology, University of BristolBristol, UK
| | - G Davey Smith
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of BristolBristol, UK
| | - S M Ring
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of BristolBristol, UK
| | - J R Gruen
- Department of Genetics, Yale UniversityNew Haven, CT, USA
- Departments of Pediatrics and Investigative Medicine, Yale University School of MedicineNew Haven, CT, USA
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Eicher JD, Gruen JR. Imaging-genetics in dyslexia: connecting risk genetic variants to brain neuroimaging and ultimately to reading impairments. Mol Genet Metab 2013; 110:201-12. [PMID: 23916419 PMCID: PMC3800223 DOI: 10.1016/j.ymgme.2013.07.001] [Citation(s) in RCA: 25] [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: 05/29/2013] [Revised: 07/02/2013] [Accepted: 07/02/2013] [Indexed: 12/19/2022]
Abstract
Dyslexia is a common pediatric disorder that affects 5-17% of schoolchildren in the United States. It is marked by unexpected difficulties in fluent reading despite adequate intelligence, opportunity, and instruction. Classically, neuropsychologists have studied dyslexia using a variety of neurocognitive batteries to gain insight into the specific deficits and impairments in affected children. Since dyslexia is a complex genetic trait with high heritability, analyses conditioned on performance on these neurocognitive batteries have been used to try to identify associated genes. This has led to some successes in identifying contributing genes, although much of the heritability remains unexplained. Additionally, the lack of relevant human brain tissue for analysis and the challenges of modeling a uniquely human trait in animals are barriers to advancing our knowledge of the underlying pathophysiology. In vivo imaging technologies, however, present new opportunities to examine dyslexia and reading skills in a clearly relevant context in human subjects. Recent investigations have started to integrate these imaging data with genetic data in attempts to gain a more complete and complex understanding of reading processes. In addition to bridging the gap from genetic risk variant to a discernible neuroimaging phenotype and ultimately to the clinical impairments in reading performance, the use of neuroimaging phenotypes will reveal novel risk genes and variants. In this article, we briefly discuss the genetic and imaging investigations and take an in-depth look at the recent imaging-genetics investigations of dyslexia.
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Affiliation(s)
- John D. Eicher
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520
| | - Jeffrey R. Gruen
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520
- Departments of Pediatrics and Investigative Medicine, Yale University School of Medicine, New Haven, CT 06520
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Carrion-Castillo A, Franke B, Fisher SE. Molecular genetics of dyslexia: an overview. DYSLEXIA (CHICHESTER, ENGLAND) 2013; 19:214-240. [PMID: 24133036 DOI: 10.1002/dys.1464] [Citation(s) in RCA: 72] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2013] [Accepted: 09/02/2013] [Indexed: 05/28/2023]
Abstract
Dyslexia is a highly heritable learning disorder with a complex underlying genetic architecture. Over the past decade, researchers have pinpointed a number of candidate genes that may contribute to dyslexia susceptibility. Here, we provide an overview of the state of the art, describing how studies have moved from mapping potential risk loci, through identification of associated gene variants, to characterization of gene function in cellular and animal model systems. Work thus far has highlighted some intriguing mechanistic pathways, such as neuronal migration, axon guidance, and ciliary biology, but it is clear that we still have much to learn about the molecular networks that are involved. We end the review by highlighting the past, present, and future contributions of the Dutch Dyslexia Programme to studies of genetic factors. In particular, we emphasize the importance of relating genetic information to intermediate neurobiological measures, as well as the value of incorporating longitudinal and developmental data into molecular designs.
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Affiliation(s)
- Amaia Carrion-Castillo
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
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Worthey EA, Raca G, Laffin JJ, Wilk BM, Harris JM, Jakielski KJ, Dimmock DP, Strand EA, Shriberg LD. Whole-exome sequencing supports genetic heterogeneity in childhood apraxia of speech. J Neurodev Disord 2013; 5:29. [PMID: 24083349 PMCID: PMC3851280 DOI: 10.1186/1866-1955-5-29] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2013] [Accepted: 09/16/2013] [Indexed: 12/12/2022] Open
Abstract
Background Childhood apraxia of speech (CAS) is a rare, severe, persistent pediatric motor speech disorder with associated deficits in sensorimotor, cognitive, language, learning and affective processes. Among other neurogenetic origins, CAS is the disorder segregating with a mutation in FOXP2 in a widely studied, multigenerational London family. We report the first whole-exome sequencing (WES) findings from a cohort of 10 unrelated participants, ages 3 to 19 years, with well-characterized CAS. Methods As part of a larger study of children and youth with motor speech sound disorders, 32 participants were classified as positive for CAS on the basis of a behavioral classification marker using auditory-perceptual and acoustic methods that quantify the competence, precision and stability of a speaker’s speech, prosody and voice. WES of 10 randomly selected participants was completed using the Illumina Genome Analyzer IIx Sequencing System. Image analysis, base calling, demultiplexing, read mapping, and variant calling were performed using Illumina software. Software developed in-house was used for variant annotation, prioritization and interpretation to identify those variants likely to be deleterious to neurodevelopmental substrates of speech-language development. Results Among potentially deleterious variants, clinically reportable findings of interest occurred on a total of five chromosomes (Chr3, Chr6, Chr7, Chr9 and Chr17), which included six genes either strongly associated with CAS (FOXP1 and CNTNAP2) or associated with disorders with phenotypes overlapping CAS (ATP13A4, CNTNAP1, KIAA0319 and SETX). A total of 8 (80%) of the 10 participants had clinically reportable variants in one or two of the six genes, with variants in ATP13A4, KIAA0319 and CNTNAP2 being the most prevalent. Conclusions Similar to the results reported in emerging WES studies of other complex neurodevelopmental disorders, our findings from this first WES study of CAS are interpreted as support for heterogeneous genetic origins of this pediatric motor speech disorder with multiple genes, pathways and complex interactions. We also submit that our findings illustrate the potential use of WES for both gene identification and case-by-case clinical diagnostics in pediatric motor speech disorders.
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Affiliation(s)
- Elizabeth A Worthey
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI, 53705, USA.
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Genetic analysis of dyslexia candidate genes in the European cross-linguistic NeuroDys cohort. Eur J Hum Genet 2013; 22:675-80. [PMID: 24022301 DOI: 10.1038/ejhg.2013.199] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2013] [Revised: 08/02/2013] [Accepted: 08/07/2013] [Indexed: 02/02/2023] Open
Abstract
Dyslexia is one of the most common childhood disorders with a prevalence of around 5-10% in school-age children. Although an important genetic component is known to have a role in the aetiology of dyslexia, we are far from understanding the molecular mechanisms leading to the disorder. Several candidate genes have been implicated in dyslexia, including DYX1C1, DCDC2, KIAA0319, and the MRPL19/C2ORF3 locus, each with reports of both positive and no replications. We generated a European cross-linguistic sample of school-age children - the NeuroDys cohort - that includes more than 900 individuals with dyslexia, sampled with homogenous inclusion criteria across eight European countries, and a comparable number of controls. Here, we describe association analysis of the dyslexia candidate genes/locus in the NeuroDys cohort. We performed both case-control and quantitative association analyses of single markers and haplotypes previously reported to be dyslexia-associated. Although we observed association signals in samples from single countries, we did not find any marker or haplotype that was significantly associated with either case-control status or quantitative measurements of word-reading or spelling in the meta-analysis of all eight countries combined. Like in other neurocognitive disorders, our findings underline the need for larger sample sizes to validate possibly weak genetic effects.
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