1
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Sun Y, Men W, Kennerknecht I, Fang W, Zheng HF, Zhang W, Rao Y. Human genetics of face recognition: discovery of MCTP2 mutations in humans with face blindness (congenital prosopagnosia). Genetics 2024; 227:iyae047. [PMID: 38547502 DOI: 10.1093/genetics/iyae047] [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: 12/24/2023] [Accepted: 03/19/2024] [Indexed: 06/06/2024] Open
Abstract
Face recognition is important for both visual and social cognition. While prosopagnosia or face blindness has been known for seven decades and face-specific neurons for half a century, the molecular genetic mechanism is not clear. Here we report results after 17 years of research with classic genetics and modern genomics. From a large family with 18 congenital prosopagnosia (CP) members with obvious difficulties in face recognition in daily life, we uncovered a fully cosegregating private mutation in the MCTP2 gene which encodes a calcium binding transmembrane protein expressed in the brain. After screening through cohorts of 6589, we found more CPs and their families, allowing detection of more CP associated mutations in MCTP2. Face recognition differences were detected between 14 carriers with the frameshift mutation S80fs in MCTP2 and 19 noncarrying volunteers. Six families including one with 10 members showed the S80fs-CP correlation. Functional magnetic resonance imaging found association of impaired recognition of individual faces by MCTP2 mutant CPs with reduced repetition suppression to repeated facial identities in the right fusiform face area. Our results have revealed genetic predisposition of MCTP2 mutations in CP, 76 years after the initial report of prosopagnosia and 47 years after the report of the first CP. This is the first time a gene required for a higher form of visual social cognition was found in humans.
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Affiliation(s)
- Yun Sun
- Chinese Institutes for Medical Research, Capital Medical University, Beijing 100069, China
- Chinese Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, PKU-IDG/McGovern Institute for Brain Research, School of Life Sciences, Peking University, Beijing 100871, China
- Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen 518107, China
| | - Weiwei Men
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Beijing Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing 100871, China
| | - Ingo Kennerknecht
- Institute of Human Genetics, Westfälische Wilhelms-Universität, Münster 48149, Germany
| | - Wan Fang
- Chinese Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, PKU-IDG/McGovern Institute for Brain Research, School of Life Sciences, Peking University, Beijing 100871, China
| | - Hou-Feng Zheng
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China
| | - Wenxia Zhang
- Chinese Institutes for Medical Research, Capital Medical University, Beijing 100069, China
- Chinese Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, PKU-IDG/McGovern Institute for Brain Research, School of Life Sciences, Peking University, Beijing 100871, China
| | - Yi Rao
- Chinese Institutes for Medical Research, Capital Medical University, Beijing 100069, China
- Chinese Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, PKU-IDG/McGovern Institute for Brain Research, School of Life Sciences, Peking University, Beijing 100871, China
- Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen 518107, China
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2
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Deng YT, Wu BS, Yang L, He XY, Kang JJ, Liu WS, Li ZY, Wu XR, Zhang YR, Chen SD, Ge YJ, Huang YY, Feng JF, Zhu Y, Dong Q, Mao Y, Cheng W, Yu JT. Large-scale whole-exome sequencing of neuropsychiatric diseases and traits in 350,770 adults. Nat Hum Behav 2024; 8:1194-1208. [PMID: 38589703 DOI: 10.1038/s41562-024-01861-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 03/11/2024] [Indexed: 04/10/2024]
Abstract
While numerous genomic loci have been identified for neuropsychiatric conditions, the contribution of protein-coding variants has yet to be determined. Here we conducted a large-scale whole-exome-sequencing study to interrogate the impact of protein-coding variants on 46 neuropsychiatric diseases and 23 traits in 350,770 adults from the UK Biobank. Twenty new genes were associated with neuropsychiatric diseases through coding variants, among which 16 genes had impacts on the longitudinal risks of diseases. Thirty new genes were associated with neuropsychiatric traits, with SYNGAP1 showing pleiotropic effects across cognitive function domains. Pairwise estimation of genetic correlations at the coding-variant level highlighted shared genetic associations among pairs of neurodegenerative diseases and mental disorders. Lastly, a comprehensive multi-omics analysis suggested that alterations in brain structures, blood proteins and inflammation potentially contribute to the gene-phenotype linkages. Overall, our findings characterized a compendium of protein-coding variants for future research on the biology and therapeutics of neuropsychiatric phenotypes.
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Affiliation(s)
- Yue-Ting Deng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Bang-Sheng Wu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Liu Yang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiao-Yu He
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ju-Jiao Kang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Wei-Shi Liu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ze-Yu Li
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Xin-Rui Wu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ya-Ru Zhang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shi-Dong Chen
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi-Jun Ge
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yu-Yuan Huang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- Department of Computer Science, University of Warwick, Coventry, UK
| | - Ying Zhu
- Institutes of Brain Science, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital Fudan University, Shanghai, China
| | - Wei Cheng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China.
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
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3
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Häfliger IM, Wolf-Hofstetter S, Casola C, Hetzel U, Seefried FR, Drögemüller C. A de novo variant in the bovine ADAMTSL4 gene in an Original Braunvieh calf with congenital cataract. Anim Genet 2022; 53:416-421. [PMID: 35233794 PMCID: PMC9311076 DOI: 10.1111/age.13178] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 01/27/2022] [Accepted: 02/03/2022] [Indexed: 11/26/2022]
Abstract
Inherited forms of cataract are a heterogeneous group of eye disorders known in livestock species. Clinicopathological analysis of a single case of impaired vision in a newborn Original Braunvieh calf revealed nuclear cataract. Whole‐genome sequencing of the parent‐offspring trio revealed a de novo mutation of ADAMTSL4 in this case. The heterozygous p.Arg776His missense variant affects a conserved residue of the ADAMTSL4 gene that encodes a secreted glycoprotein expressed in the lens throughout embryonic development. In humans, ADAMTSL4 genetic variants cause recessively inherited forms of subluxation of the lens. Given that ADAMTSL4 is a functional candidate gene for inherited disorders of the lens, we suggest that heterozygosity for the identified missense variant may have caused the congenital cataract in the affected calf. Cattle populations should be monitored for unexplained cataract cases, with subsequent DNA sequencing a hypothesized pathogenic effect of heterozygous ADAMTSL4 variants could be confirmed.
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Affiliation(s)
- Irene M Häfliger
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | | | - Christina Casola
- Ophthalmology Section, Equine Department, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | - Udo Hetzel
- Institute of Veterinary Pathology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | | | - Cord Drögemüller
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
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4
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Perszyk RE, Kristensen AS, Lyuboslavsky P, Traynelis SF. Three-dimensional missense tolerance ratio analysis. Genome Res 2021; 31:1447-1461. [PMID: 34301626 PMCID: PMC8327912 DOI: 10.1101/gr.275528.121] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 06/15/2021] [Indexed: 12/11/2022]
Abstract
A wealth of genetic information is available describing single-nucleotide variants in the human population that appear to be well-tolerated and in and of themselves do not confer disease. These variant data sets contain signatures about the protein structure-function relationships and provide an unbiased view of various protein functions in the context of human health. This information can be used to determine regional intolerance to variation, defined as the missense tolerance ratio (MTR), which is an indicator of stretches of the polypeptide chain that can tolerate changes without compromising protein function in a manner that impacts human health. This approach circumvents the lack of comprehensive data by averaging the data from adjacent residues on the polypeptide chain. We reasoned that many motifs in proteins consist of nonadjacent residues, but together function as a unit. We therefore developed an approach to analyze nearest neighbors in three-dimensional space as determined by crystallography rather than on the polypeptide chain. We used members of the GRIN gene family that encode subunits of NMDA-type ionotropic glutamate receptors (iGluRs) to exemplify the differences between these methods. Our method, 3DMTR, provides new information about regions of intolerance within iGluRs, allows consideration of protein-protein interfaces in multimeric proteins, and moves this important research tool from one-dimensional analysis to a structurally relevant tool. We validate the improved 3DMTR score by showing that it more accurately classifies the functional consequences of a set of newly measured and published point mutations of Grin family genes than existing methods.
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Affiliation(s)
- Riley E Perszyk
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, Georgia 30322, USA
| | - Anders S Kristensen
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, Georgia 30322, USA
| | - Polina Lyuboslavsky
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, Georgia 30322, USA
| | - Stephen F Traynelis
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, Georgia 30322, USA
- Center for Functional Evaluation of Rare Variants (CFERV), Emory University School of Medicine, Atlanta, Georgia 30322, USA
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5
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Kim S, Kang M, Park D, Lee AR, Betz H, Ko J, Chang I, Um JW. Impaired formation of high-order gephyrin oligomers underlies gephyrin dysfunction-associated pathologies. iScience 2021; 24:102037. [PMID: 33532714 PMCID: PMC7822942 DOI: 10.1016/j.isci.2021.102037] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 12/01/2020] [Accepted: 01/04/2021] [Indexed: 12/11/2022] Open
Abstract
Gephyrin is critical for the structure, function, and plasticity of inhibitory synapses. Gephyrin mutations have been linked to various neurological disorders; however, systematic analyses of the functional consequences of these mutations are lacking. Here, we performed molecular dynamics simulations of gephyrin to predict how six reported point mutations might change the structural stability and/or function of gephyrin. Additional in silico analyses revealed that the A91T and G375D mutations reduce the binding free energy of gephyrin oligomer formation. Gephyrin A91T and G375D displayed altered clustering patterns in COS-7 cells and nullified the inhibitory synapse-promoting effect of gephyrin in cultured neurons. However, only the G375D mutation reduced gephyrin interaction with GABAA receptors and neuroligin-2 in mouse brain; it also failed to normalize deficits in GABAergic synapse maintenance and neuronal hyperactivity observed in hippocampal dentate gyrus-specific gephyrin-deficient mice. Our results provide insights into biochemical, cell-biological, and network-activity effects of the pathogenic G375D mutation.
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Affiliation(s)
- Seungjoon Kim
- Department of Brain and Cognitive Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea
| | - Mooseok Kang
- Department of Brain and Cognitive Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea.,Core Protein Resources Center, DGIST, Daegu 42988, Korea
| | - Dongseok Park
- Department of Brain and Cognitive Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea
| | - Ae-Ree Lee
- Department of Brain and Cognitive Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea.,Core Protein Resources Center, DGIST, Daegu 42988, Korea
| | - Heinrich Betz
- Max Planck Institute for Medical Research, Jahnstrasse 29, 69120 Heidelberg, Germany
| | - Jaewon Ko
- Department of Brain and Cognitive Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea
| | - Iksoo Chang
- Department of Brain and Cognitive Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea.,Core Protein Resources Center, DGIST, Daegu 42988, Korea.,Supercomputing Bigdata Center, DGIST, Daegu 42988, Korea
| | - Ji Won Um
- Department of Brain and Cognitive Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea.,Core Protein Resources Center, DGIST, Daegu 42988, Korea
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6
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Perszyk RE, Myers SJ, Yuan H, Gibb AJ, Furukawa H, Sobolevsky AI, Traynelis SF. Hodgkin-Huxley-Katz Prize Lecture: Genetic and pharmacological control of glutamate receptor channel through a highly conserved gating motif. J Physiol 2020; 598:3071-3083. [PMID: 32468591 DOI: 10.1113/jp278086] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 05/18/2020] [Indexed: 12/15/2022] Open
Abstract
Glutamate receptors are essential ligand-gated ion channels in the central nervous system that mediate excitatory synaptic transmission in response to the release of glutamate from presynaptic terminals. The structural and biophysical basis underlying the function of these receptors has been studied for decades by a wide range of approaches. However recent structural, pharmacological and genetic studies have provided new insight into the regions of this protein that are critical determinants of receptor function. Lack of variation in specific areas of the protein amino acid sequences in the human population has defined three regions in each receptor subunit that are under selective pressure, which has focused research efforts and driven new hypotheses. In addition, these three closely positioned elements reside near a cavity that is shown by multiple studies to be a likely site of action for allosteric modulators, one of which is currently in use as an FDA-approved anticonvulsant. These structural elements are capable of controlling gating of the pore, and appear to permit some modulators bound within the cavity to also alter permeation properties. This creates a new precedent whereby features of the channel pore can be modulated by exogenous drugs that bind outside the pore. The convergence of structural, genetic, biophysical and pharmacological approaches is a powerful means to gain insight into the complex biological processes defined by neurotransmitter receptor function.
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Affiliation(s)
- Riley E Perszyk
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Scott J Myers
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, USA.,Center for Functional Evaluation of Rare Variants (CFERV), Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Hongjie Yuan
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, USA.,Center for Functional Evaluation of Rare Variants (CFERV), Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Alasdair J Gibb
- Department of Neuroscience, Physiology & Pharmacology, University College London, London, UK
| | - Hiro Furukawa
- WM Keck Structural Biology Laboratory, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, 11724, USA
| | - Alexander I Sobolevsky
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, 10032, USA
| | - Stephen F Traynelis
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, USA.,Center for Functional Evaluation of Rare Variants (CFERV), Emory University School of Medicine, Atlanta, GA, 30322, USA
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7
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Liu W, Zhang X, Deng Z, Li G, Zhang R, Yang Z, Che F, Liu S, Li H. The role of SLITRK6 in the pathogenesis of Tourette syndrome: From the conclusion of a family-based study in the Chinese Han population. J Gene Med 2020; 22:e3173. [PMID: 32037697 DOI: 10.1002/jgm.3173] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 01/12/2020] [Accepted: 02/04/2020] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Tourette syndrome (TS) is a complex neuropsychiatric disorder coupled with obvious genetic heterogeneity. Studies in recent years have confirmed the association of SLITRK genes with sensory and neuropsychiatric diseases. To detect whether SLITRK6 is involved in the progress of TS, a family-based association study was performed to explore the possible genetic association between SLITRK6 and TS in the Chinese Han population. METHODS We genotyped 399 TS nuclear families trios, and then analyzed three tag SLITRK6 single nucleotide polymorphisms using the transmission disequilibrium test (TDT) haplotype relative risk (HRR) and haplotype-based haplotype relative risk (HHRR) methods. RESULTS The TDT showed no statistically significant allele transfer for the three polymorphisms. The HRR and HHRR also showed a negative association. CONCLUSIONS Despite the results suggesting that these polymorphisms may not be associated with susceptibility to TS in the Chinese Han population, we are still unable to determine the potential role of SLITRK6 in the pathogenesis of TS. Furthermore, the results still need to be confirmed in a larger sample size and in different populations.
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Affiliation(s)
- Wenmiao Liu
- Medical Genetics Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.,The Prenatal diagnosis center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Xuzhan Zhang
- Department of Clinical Laboratory, Heze Municipal Hospital, Heze, Shandong, China
| | - Ziwen Deng
- Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Guixia Li
- Department of Clinical Laboratory, Heze Municipal Hospital, Heze, Shandong, China
| | - Ru Zhang
- Medical Genetics Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.,The Prenatal diagnosis center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Zongjun Yang
- Department of Clinical Laboratory, The women and children's Hospital of Qingdao, Qingdao, Shandong, China
| | - Fengyuan Che
- Department of Neurology, the Affiliated Linyi People's Hospital of Shandong University, Linyi, Shandong, China
| | - Shiguo Liu
- Medical Genetics Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.,The Prenatal diagnosis center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Hui Li
- Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
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8
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Heinrichs RW. The duality of human cognition: operations and intentionality in mental life and illness. Neurosci Biobehav Rev 2019; 108:139-148. [PMID: 31703967 DOI: 10.1016/j.neubiorev.2019.11.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Accepted: 11/04/2019] [Indexed: 01/20/2023]
Abstract
What people think about, the intentional aspect of cognition, is distinguished from its operational aspect, or how proficiently they think. Many psychiatric disorders as well as social problems like racism, are defined largely by specified thought contents, whereas neurological disorders including dementia are defined by low proficiency. Intentionality contrasts with operational cognition in resisting objectification and in being expressed primarily in verbal narratives and subjective self-disclosure. This yields insecure data that have slowed progress in fields where intentional cognition plays a key role. The question is how to produce more secure knowledge and open the intentional domain itself to objective investigation. The use of operational methods to infer intentionality has provided only partial answers. However, the science of reconstructing mental events with neural data is providing a new horizon for the study of intentional cognition. Reconstruction science must address major challenges related to fidelity and validity. Nevertheless, this approach is showing the first steps on the road to accessing and revealing objectively the contents of thought.
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Affiliation(s)
- R Walter Heinrichs
- Department of Psychology, York University, Toronto, Ontario, M3J 1P3, Canada.
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9
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Bodkin JA, Coleman MJ, Godfrey LJ, Carvalho CM, Morgan CJ, Suckow RF, Anderson T, Ongur D, Kaufman MJ, Lewandowski KE, Siegel AJ, Waldstreicher E, Grochowski CM, Javitt DC, Rujescu D, Hebbring S, Weinshilboum R, Rodriguez SB, Kirchhoff C, Visscher T, Vuckovic A, Fialkowski A, McCarthy S, Malhotra D, Sebat J, Goff DC, Hudson JI, Lupski JR, Coyle JT, Rudolph U, Levy DL. Targeted Treatment of Individuals With Psychosis Carrying a Copy Number Variant Containing a Genomic Triplication of the Glycine Decarboxylase Gene. Biol Psychiatry 2019; 86:523-535. [PMID: 31279534 PMCID: PMC6745274 DOI: 10.1016/j.biopsych.2019.04.031] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 04/17/2019] [Accepted: 04/17/2019] [Indexed: 02/08/2023]
Abstract
BACKGROUND The increased mutational burden for rare structural genomic variants in schizophrenia and other neurodevelopmental disorders has so far not yielded therapies targeting the biological effects of specific mutations. We identified two carriers (mother and son) of a triplication of the gene encoding glycine decarboxylase, GLDC, presumably resulting in reduced availability of the N-methyl-D-aspartate receptor coagonists glycine and D-serine and N-methyl-D-aspartate receptor hypofunction. Both carriers had a diagnosis of a psychotic disorder. METHODS We carried out two double-blind, placebo-controlled clinical trials of N-methyl-D-aspartate receptor augmentation of psychotropic drug treatment in these two individuals. Glycine was used in the first clinical trial, and D-cycloserine was used in the second one. RESULTS Glycine or D-cycloserine augmentation of psychotropic drug treatment each improved psychotic and mood symptoms in placebo-controlled trials. CONCLUSIONS These results provide two independent proof-of-principle demonstrations of symptom relief by targeting a specific genotype and explicitly link an individual mutation to the pathophysiology of psychosis and treatment response.
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Affiliation(s)
| | | | | | | | | | | | | | - Dost Ongur
- McLean Hospital, Belmont, MA.,Harvard Medical School, Boston, MA
| | - Marc J. Kaufman
- McLean Hospital, Belmont, MA.,Harvard Medical School, Boston, MA
| | | | - Arthur J. Siegel
- McLean Hospital, Belmont, MA.,Harvard Medical School, Boston, MA
| | | | | | - Daniel C. Javitt
- Columbia University Medical Center, New York, NY.,Nathan Kline Institute, Orangeburg, NY
| | - Dan Rujescu
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Martin Luther University of Halle-Wittenberg, Halle, Germany
| | - Scott Hebbring
- Center for Human Genetics, Marshfield Clinic Research Institute, Marshfield, WI
| | | | | | | | | | | | | | | | | | | | - Donald C. Goff
- Nathan Kline Institute, Orangeburg, NY.,Department of Psychiatry, New York University Langone Medical Center, New York, NY
| | - James I. Hudson
- McLean Hospital, Belmont, MA.,Harvard Medical School, Boston, MA
| | | | - Joseph T. Coyle
- McLean Hospital, Belmont, MA.,Harvard Medical School, Boston, MA
| | - Uwe Rudolph
- McLean Hospital, Belmont, MA.,Harvard Medical School, Boston, MA
| | - Deborah L. Levy
- McLean Hospital, Belmont, MA.,Harvard Medical School, Boston, MA
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10
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Hu H, Kahrizi K, Musante L, Fattahi Z, Herwig R, Hosseini M, Oppitz C, Abedini SS, Suckow V, Larti F, Beheshtian M, Lipkowitz B, Akhtarkhavari T, Mehvari S, Otto S, Mohseni M, Arzhangi S, Jamali P, Mojahedi F, Taghdiri M, Papari E, Soltani Banavandi MJ, Akbari S, Tonekaboni SH, Dehghani H, Ebrahimpour MR, Bader I, Davarnia B, Cohen M, Khodaei H, Albrecht B, Azimi S, Zirn B, Bastami M, Wieczorek D, Bahrami G, Keleman K, Vahid LN, Tzschach A, Gärtner J, Gillessen-Kaesbach G, Varaghchi JR, Timmermann B, Pourfatemi F, Jankhah A, Chen W, Nikuei P, Kalscheuer VM, Oladnabi M, Wienker TF, Ropers HH, Najmabadi H. Genetics of intellectual disability in consanguineous families. Mol Psychiatry 2019; 24:1027-1039. [PMID: 29302074 DOI: 10.1038/s41380-017-0012-2] [Citation(s) in RCA: 119] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 10/19/2017] [Accepted: 10/30/2017] [Indexed: 01/17/2023]
Abstract
Autosomal recessive (AR) gene defects are the leading genetic cause of intellectual disability (ID) in countries with frequent parental consanguinity, which account for about 1/7th of the world population. Yet, compared to autosomal dominant de novo mutations, which are the predominant cause of ID in Western countries, the identification of AR-ID genes has lagged behind. Here, we report on whole exome and whole genome sequencing in 404 consanguineous predominantly Iranian families with two or more affected offspring. In 219 of these, we found likely causative variants, involving 77 known and 77 novel AR-ID (candidate) genes, 21 X-linked genes, as well as 9 genes previously implicated in diseases other than ID. This study, the largest of its kind published to date, illustrates that high-throughput DNA sequencing in consanguineous families is a superior strategy for elucidating the thousands of hitherto unknown gene defects underlying AR-ID, and it sheds light on their prevalence.
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Affiliation(s)
- Hao Hu
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany.,Guangzhou Women and Children's Medical Center, 510623, Guangzhou, China
| | - Kimia Kahrizi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Luciana Musante
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany
| | - Zohreh Fattahi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Ralf Herwig
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany
| | - Masoumeh Hosseini
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Cornelia Oppitz
- IMP-Research Institute of Molecular Pathology, 1030, Vienna, Austria
| | - Seyedeh Sedigheh Abedini
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Vanessa Suckow
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany
| | - Farzaneh Larti
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Maryam Beheshtian
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | | | - Tara Akhtarkhavari
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Sepideh Mehvari
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Sabine Otto
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany
| | - Marzieh Mohseni
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Sanaz Arzhangi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Payman Jamali
- Shahrood Genetic Counseling Center, Welfare Office, Semnan, 36156, Iran
| | - Faezeh Mojahedi
- Mashhad Medical Genetic Counseling Center, Mashhad, 91767, Iran
| | - Maryam Taghdiri
- Shiraz Genetic Counseling Center, Welfare Office, Shiraz, Iran
| | - Elaheh Papari
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | | | - Saeide Akbari
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Seyed Hassan Tonekaboni
- Pediatric Neurology Research Center, Mofid Children's Hospital, Shahid Beheshti University of Medical Sciences, Tehran, 15468, Iran
| | - Hossein Dehghani
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Mohammad Reza Ebrahimpour
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Ingrid Bader
- Kinderzentrum München, Technische Universität München, 81377, München, Germany
| | - Behzad Davarnia
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Monika Cohen
- Children's Center Munich, 81377, Munich, Germany
| | - Hossein Khodaei
- Meybod Genetics Research Center, Welfare Organization, Yazd, 89651, Iran
| | - Beate Albrecht
- Institute of Human Genetics, University Hospital Essen, 45122, Essen, Germany
| | - Sarah Azimi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Birgit Zirn
- Genetikum Counseling Center, 70173, Stuttgart, Germany
| | - Milad Bastami
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Dagmar Wieczorek
- Institute of Human Genetics and Anthropology, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
| | - Gholamreza Bahrami
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Krystyna Keleman
- IMP-Research Institute of Molecular Pathology, 1030, Vienna, Austria.,Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA, 20147, USA
| | - Leila Nouri Vahid
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Andreas Tzschach
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany.,Institute of Clinical Genetics, Technische Universität Dresden, Dresden, Germany
| | - Jutta Gärtner
- University Medical Center, Georg August University Göttingen, 37075, Göttingen, Germany
| | | | | | - Bernd Timmermann
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany
| | | | - Aria Jankhah
- Shiraz Genetic Counseling Center, Shiraz, 71346, Iran
| | - Wei Chen
- Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, 13125, Berlin, Germany
| | - Pooneh Nikuei
- Molecular Medicine Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | | | - Morteza Oladnabi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran
| | - Thomas F Wienker
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany
| | - Hans-Hilger Ropers
- Max-Planck-Institute for Molecular Genetics, 14195, Berlin, Germany. .,Institute of Human Genetics, University Medicine, Mainz, Germany.
| | - Hossein Najmabadi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, 19857, Iran. .,Kariminejad - Najmabadi Pathology & Genetics Centre, Tehran, 14667-13713, Iran.
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11
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Delaney S, Hornig M. Environmental Exposures and Neuropsychiatric Disorders: What Role Does the Gut-Immune-Brain Axis Play? Curr Environ Health Rep 2019; 5:158-169. [PMID: 29423662 DOI: 10.1007/s40572-018-0186-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW Evidence is growing that environmental exposures-including xenobiotics as well as microbes-play a role in the pathogenesis of many neuropsychiatric disorders. Underlying mechanisms are likely to be complex, involving the developmentally sensitive interplay of genetic/epigenetic, detoxification, and immune factors. Here, we review evidence supporting a role for environmental factors and disrupted gut-immune-brain axis function in some neuropsychiatric conditions. RECENT FINDINGS Studies suggesting the involvement of an altered microbiome in triggering CNS-directed autoimmunity and neuropsychiatric disturbances are presented as an intriguing example of the varied mechanisms by which environmentally induced gut-immune-brain axis dysfunction may contribute to adverse brain outcomes. The gut-immune-brain axis is a burgeoning frontier for investigation of neuropsychiatric illness. Future translational research to define individual responses to exogenous exposures in terms of microbiome-dependent skew of the metabolome, immunity, and brain function may serve as a lens for illumination of pathways involved in the development of CNS disease and fuel discovery of novel interventions.
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Affiliation(s)
- Shannon Delaney
- Department of Psychiatry, Columbia University Medical Center, New York, NY, 10032, USA
| | - Mady Hornig
- Center for Infection and Immunity, Columbia University Mailman School of Public Health, 722 W 168th St, Rm 1706, New York, NY, 10032, USA.
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St, Rm 1706, New York, NY, 10032, USA.
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12
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Abstract
Elucidating the functions of a particular gene is paramount to the understanding of how its dysfunction contributes to disease. This is especially important when the gene is implicated in multiple different disorders. One such gene is methyl-CpG-binding protein 2 (MECP2), which has been most prominently associated with the neurodevelopmental disorder Rett syndrome, as well as major neuropsychiatric disorders such as autism and schizophrenia. Being initially identified as a transcriptional regulator that modulates gene expression and subsequently also shown to be involved in other molecular events, dysfunction of the MeCP2 protein has the potential to affect many cellular processes. In this chapter, we will briefly review the functions of the MeCP2 protein and how its mutations are implicated in Rett syndrome and other neuropsychiatric disorders. We will further discuss about the mouse models that have been generated to specifically dissect the function of MeCP2 in different cell types and brain regions. It is envisioned that such thorough and targeted examination of MeCP2 functions can aid in enlightening the role that it plays in normal and dysfunctional physiological systems.
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Affiliation(s)
- Eunice W M Chin
- Neuroscience and Mental Health Faculty, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Eyleen L K Goh
- Neuroscience and Mental Health Faculty, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
- Department of Research, National Neuroscience Institute, Singapore, Singapore.
- Neuroscience Academic Clinical Programme, Singhealth Duke-NUS Academic Medical Center, Singapore, Singapore.
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13
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Comprehensive comparative analysis of 5'-end RNA-sequencing methods. Nat Methods 2018; 15:505-511. [PMID: 29867192 PMCID: PMC6075671 DOI: 10.1038/s41592-018-0014-2] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Accepted: 04/10/2018] [Indexed: 12/20/2022]
Abstract
Specialized RNA-seq methods are required to identify the 5' ends of transcripts, which are critical for studies of gene regulation, but these methods have not been systematically benchmarked. We directly compared six such methods, including the performance of five methods on a single human cellular RNA sample and a new spike-in RNA assay that helps circumvent challenges resulting from uncertainties in annotation and RNA processing. We found that the 'cap analysis of gene expression' (CAGE) method performed best for mRNA and that most of its unannotated peaks were supported by evidence from other genomic methods. We applied CAGE to eight brain-related samples and determined sample-specific transcription start site (TSS) usage, as well as a transcriptome-wide shift in TSS usage between fetal and adult brain.
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14
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Heinzen EL, O'Neill AC, Zhu X, Allen AS, Bahlo M, Chelly J, Chen MH, Dobyns WB, Freytag S, Guerrini R, Leventer RJ, Poduri A, Robertson SP, Walsh CA, Zhang M. De novo and inherited private variants in MAP1B in periventricular nodular heterotopia. PLoS Genet 2018; 14:e1007281. [PMID: 29738522 PMCID: PMC5965900 DOI: 10.1371/journal.pgen.1007281] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 05/23/2018] [Accepted: 02/27/2018] [Indexed: 11/19/2022] Open
Abstract
Periventricular nodular heterotopia (PVNH) is a malformation of cortical development commonly associated with epilepsy. We exome sequenced 202 individuals with sporadic PVNH to identify novel genetic risk loci. We first performed a trio-based analysis and identified 219 de novo variants. Although no novel genes were implicated in this initial analysis, PVNH cases were found overall to have a significant excess of nonsynonymous de novo variants in intolerant genes (p = 3.27x10-7), suggesting a role for rare new alleles in genes yet to be associated with the condition. Using a gene-level collapsing analysis comparing cases and controls, we identified a genome-wide significant signal driven by four ultra-rare loss-of-function heterozygous variants in MAP1B, including one de novo variant. In at least one instance, the MAP1B variant was inherited from a parent with previously undiagnosed PVNH. The PVNH was frontally predominant and associated with perisylvian polymicrogyria. These results implicate MAP1B in PVNH. More broadly, our findings suggest that detrimental mutations likely arising in immediately preceding generations with incomplete penetrance may also be responsible for some apparently sporadic diseases.
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Affiliation(s)
- Erin L. Heinzen
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York, United States of America
- * E-mail: Corresponding author on behalf of the Epi4K Consortium,
| | - Adam C. O'Neill
- Department of Women’s and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Xiaolin Zhu
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York, United States of America
| | - Andrew S. Allen
- Center for Statistical Genetics and Genomics, Duke University Medical Center, Durham, North Carolina, United States of America
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America
| | - Melanie Bahlo
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, School of Mathematics and Statistics, University of Melbourne, Parkville, Victoria, Australia
| | - Jamel Chelly
- Pôle de Biologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- IGBMC, INSERM U964, CNRS UMR 7104, Université de Strasbourg, Illkirch, France
| | - Ming Hui Chen
- Department of Cardiology and Division of Genetics and Genomics, Boston Children’s Hospital, Boston, Massachusetts, United States of America
| | - William B. Dobyns
- Departments of Pediatrics and Neurology, University of Washington, Seattle, Washington, United States of America
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington, United States of America
| | - Saskia Freytag
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Renzo Guerrini
- Neuroscience Department, Children's Hospital Anna Meyer-University of Florence, Florence, Italy
| | - Richard J. Leventer
- Department of Neurology Royal Children’s Hospital, University of Melbourne, Parkville, Victoria, Australia
- Murdoch Children’s Research Institute, University of Melbourne, Parkville, Victoria, Australia
- Department of Pediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Annapurna Poduri
- Department of Neurology, Division of Epilepsy and Clinical Neurophysiology, Boston Children's Hospital, Boston, Massachusetts, United States of America
| | - Stephen P. Robertson
- Department of Women’s and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Christopher A. Walsh
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research and Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, Massachusetts, United States of America
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Mengqi Zhang
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America
- Program in Computational Biology and Bioinformatics, Duke University, Durham, NC, United States of America
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15
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High-depth whole genome sequencing of an Ashkenazi Jewish reference panel: enhancing sensitivity, accuracy, and imputation. Hum Genet 2018; 137:343-355. [PMID: 29705978 DOI: 10.1007/s00439-018-1886-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2018] [Accepted: 04/21/2018] [Indexed: 12/31/2022]
Abstract
While increasingly large reference panels for genome-wide imputation have been recently made available, the degree to which imputation accuracy can be enhanced by population-specific reference panels remains an open question. Here, we sequenced at full-depth (≥ 30×), across two platforms (Illumina X Ten and Complete Genomics, Inc.), a moderately large (n = 738) cohort of samples drawn from the Ashkenazi Jewish population. We developed a series of quality control steps to optimize sensitivity, specificity, and comprehensiveness of variant calls in the reference panel, and then tested the accuracy of imputation against target cohorts drawn from the same population. Quality control (QC) thresholds for the Illumina X Ten platform were identified that permitted highly accurate calling of single nucleotide variants across 94% of the genome. QC procedures also identified numerous regions that are poorly mapped using current reference or alternate assemblies. After stringent QC, the population-specific reference panel produced more accurate and comprehensive imputation results relative to publicly available, large cosmopolitan reference panels, especially in the range of rare variants that may be most critical to further progress in mapping of complex phenotypes. The population-specific reference panel also permitted enhanced filtering of clinically irrelevant variants from personal genomes.
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16
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Feng W, Liu HK, Kawauchi D. CRISPR-engineered genome editing for the next generation neurological disease modeling. Prog Neuropsychopharmacol Biol Psychiatry 2018; 81:459-467. [PMID: 28536069 DOI: 10.1016/j.pnpbp.2017.05.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2017] [Revised: 04/25/2017] [Accepted: 05/19/2017] [Indexed: 12/25/2022]
Abstract
Neurological disorders often occur because of failure of proper brain development and/or appropriate maintenance of neuronal circuits. In order to understand roles of causative factors (e.g. genes, cell types) in disease development, generation of solid animal models has been one of straight-forward approaches. Recent next generation sequencing studies on human patient-derived clinical samples have identified various types of recurrent mutations in individual neurological diseases. While these discoveries have prompted us to evaluate impact of mutated genes on these neurological diseases, a feasible but flexible genome editing tool had remained to be developed. An advance of genome editing technology using the clustered regularly interspaced short palindromic repeats (CRISPR) with the CRISPR-associated protein (Cas) offers us a tremendous potential to create a variety of mutations in the cell, leading to "next generation" disease models carrying disease-associated mutations. We will here review recent progress of CRISPR-based brain disease modeling studies and discuss future requirement to tackle current difficulties in usage of these technologies.
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Affiliation(s)
- Weijun Feng
- Division of Molecular Neurogenetics, German Cancer Research Center (DKFZ), DKFZ-ZMBH Alliance, Im Neuenheimer Feld 280, Heidelberg 69120, Germany
| | - Hai-Kun Liu
- Division of Molecular Neurogenetics, German Cancer Research Center (DKFZ), DKFZ-ZMBH Alliance, Im Neuenheimer Feld 280, Heidelberg 69120, Germany
| | - Daisuke Kawauchi
- Division of Pediatric Neuro-oncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg 69120, Germany.
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17
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Clark SL, McClay JL, Adkins DE, Kumar G, Aberg KA, Nerella S, Xie L, Collins AL, Crowley JJ, Quackenbush CR, Hilliard CE, Shabalin AA, Vrieze SI, Peterson RE, Copeland WE, Silberg JL, McGue M, Maes H, Iacono WG, Sullivan PF, Costello EJ, van den Oord EJ. Deep Sequencing of 71 Candidate Genes to Characterize Variation Associated with Alcohol Dependence. Alcohol Clin Exp Res 2017; 41:711-718. [PMID: 28196272 DOI: 10.1111/acer.13352] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Accepted: 02/09/2017] [Indexed: 12/30/2022]
Abstract
BACKGROUND Previous genomewide association studies (GWASs) have identified a number of putative risk loci for alcohol dependence (AD). However, only a few loci have replicated and these replicated variants only explain a small proportion of AD risk. Using an innovative approach, the goal of this study was to generate hypotheses about potentially causal variants for AD that can be explored further through functional studies. METHODS We employed targeted capture of 71 candidate loci and flanking regions followed by next-generation deep sequencing (mean coverage 78X) in 806 European Americans. Regions included in our targeted capture library were genes identified through published GWAS of alcohol, all human alcohol and aldehyde dehydrogenases, reward system genes including dopaminergic and opioid receptors, prioritized candidate genes based on previous associations, and genes involved in the absorption, distribution, metabolism, and excretion of drugs. We performed single-locus tests to determine if any single variant was associated with AD symptom count. Sets of variants that overlapped with biologically meaningful annotations were tested for association in aggregate. RESULTS No single, common variant was significantly associated with AD in our study. We did, however, find evidence for association with several variant sets. Two variant sets were significant at the q-value <0.10 level: a genic enhancer for ADHFE1 (p = 1.47 × 10-5 ; q = 0.019), an alcohol dehydrogenase, and ADORA1 (p = 5.29 × 10-5 ; q = 0.035), an adenosine receptor that belongs to a G-protein-coupled receptor gene family. CONCLUSIONS To our knowledge, this is the first sequencing study of AD to examine variants in entire genes, including flanking and regulatory regions. We found that in addition to protein coding variant sets, regulatory variant sets may play a role in AD. From these findings, we have generated initial functional hypotheses about how these sets may influence AD.
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Affiliation(s)
- Shaunna L Clark
- Center for Biomarker Research and Precision Medicine , School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - Joseph L McClay
- Center for Biomarker Research and Precision Medicine , School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - Daniel E Adkins
- Center for Biomarker Research and Precision Medicine , School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - Gaurav Kumar
- Center for Biomarker Research and Precision Medicine , School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - Karolina A Aberg
- Center for Biomarker Research and Precision Medicine , School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - Srilaxmi Nerella
- Center for Biomarker Research and Precision Medicine , School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - Linying Xie
- Center for Biomarker Research and Precision Medicine , School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - Ann L Collins
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - James J Crowley
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Corey R Quackenbush
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Christopher E Hilliard
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Andrey A Shabalin
- Center for Biomarker Research and Precision Medicine , School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - Scott I Vrieze
- Department of Psychology and Neuroscience, Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado.,Department of Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Roseann E Peterson
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - William E Copeland
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina
| | - Judy L Silberg
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Hermine Maes
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - William G Iacono
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Patrick F Sullivan
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Elizabeth J Costello
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina
| | - Edwin J van den Oord
- Center for Biomarker Research and Precision Medicine , School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
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18
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Kang H, Han KA, Won SY, Kim HM, Lee YH, Ko J, Um JW. Slitrk Missense Mutations Associated with Neuropsychiatric Disorders Distinctively Impair Slitrk Trafficking and Synapse Formation. Front Mol Neurosci 2016; 9:104. [PMID: 27812321 PMCID: PMC5071332 DOI: 10.3389/fnmol.2016.00104] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2016] [Accepted: 10/04/2016] [Indexed: 12/29/2022] Open
Abstract
Slit- and Trk-like (Slitrks) are a six-member family of synapse organizers that control excitatory and inhibitory synapse formation by forming trans-synaptic adhesions with LAR receptor protein tyrosine phosphatases (PTPs). Intriguingly, genetic mutations of Slitrks have been associated with a multitude of neuropsychiatric disorders. However, nothing is known about the neuronal and synaptic consequences of these mutations. Here, we report the structural and functional effects on synapses of various rare de novo mutations identified in patients with schizophrenia or Tourette syndrome. A number of single amino acid substitutions in Slitrk1 (N400I or T418S) or Slitrk4 (V206I or I578V) reduced their surface expression levels. These substitutions impaired glycosylation of Slitrks expressed in HEK293T cells, caused retention of Slitrks in the endoplasmic reticulum and cis-Golgi compartment in COS-7 cells and neurons, and abolished Slitrk binding to PTPδ. Furthermore, these substitutions eliminated the synapse-inducing activity of Slitrks, abolishing their functional effects on synapse density in cultured neurons. Strikingly, a valine-to-methionine mutation in Slitrk2 (V89M) compromised synapse formation activity in cultured neuron, without affecting surface transport, expression, or synapse-inducing activity in coculture assays. Similar deleterious effects were observed upon introduction of the corresponding valine-to-methionine mutation into Slitrk1 (V85M), suggesting that this conserved valine residue plays a key role in maintaining the synaptic functions of Slitrks. Collectively, these data indicate that inactivation of distinct cellular mechanisms caused by specific Slitrk dysfunctions may underlie Slitrk-associated neuropsychiatric disorders in humans, and provide a robust cellular readout for the development of knowledge-based therapies.
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Affiliation(s)
- Hyeyeon Kang
- Department of Physiology and BK21 PLUS Project for Medical Science, Yonsei University College of Medicine Seoul, Korea
| | - Kyung Ah Han
- Department of Physiology and BK21 PLUS Project for Medical Science, Yonsei University College of Medicine Seoul, Korea
| | - Seoung Youn Won
- Department of Chemistry, Korea Advanced Institute of Science and Technology Daejeon, Korea
| | - Ho Min Kim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology Daejeon, Korea
| | - Young-Ho Lee
- Department of Physiology and BK21 PLUS Project for Medical Science, Yonsei University College of Medicine Seoul, Korea
| | - Jaewon Ko
- Department of Biochemistry, College of Life Science and Biotechnology, Yonsei University Seoul, Korea
| | - Ji Won Um
- Department of Physiology and BK21 PLUS Project for Medical Science, Yonsei University College of Medicine Seoul, Korea
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19
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Andrade A, Hope J, Allen A, Yorgan V, Lipscombe D, Pan JQ. A rare schizophrenia risk variant of CACNA1I disrupts Ca V3.3 channel activity. Sci Rep 2016; 6:34233. [PMID: 27756899 PMCID: PMC5069464 DOI: 10.1038/srep34233] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Accepted: 09/07/2016] [Indexed: 02/04/2023] Open
Abstract
CACNA1I is a candidate schizophrenia risk gene. It encodes the pore-forming human CaV3.3 α1 subunit, a subtype of voltage-gated calcium channel that contributes to T-type currents. Recently, two de novo missense variations, T797M and R1346H, of hCaV3.3 were identified in individuals with schizophrenia. Here we show that R1346H, but not T797M, is associated with lower hCaV3.3 protein levels, reduced glycosylation, and lower membrane surface levels of hCaV3.3 when expressed in human cell lines compared to wild-type. Consistent with our biochemical analyses, whole-cell hCaV3.3 currents in cells expressing the R1346H variant were ~50% of those in cells expressing WT hCaV3.3, and neither R1346H nor T797M altered channel biophysical properties. Employing the NEURON simulation environment, we found that reducing hCaV3.3 current densities by 22% or more eliminates rebound bursting in model thalamic reticular nucleus (TRN) neurons. Our analyses suggest that a single copy of Chr22: 39665939G > A CACNA1I has the capacity to disrupt CaV3.3 channel-dependent functions, including rebound bursting in TRN neurons, with potential implications for schizophrenia pathophysiology.
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Affiliation(s)
- A Andrade
- Department of Biological Sciences, College of Life Sciences and Agriculture, University of New Hampshire, Durham, NH 03824, USA.,Brown Institute for Brain Science, Providence, RI 02912, USA
| | - J Hope
- Stanley Center of Psychiatric Research, Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - A Allen
- Stanley Center of Psychiatric Research, Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - V Yorgan
- Brown Institute for Brain Science, Providence, RI 02912, USA
| | - D Lipscombe
- Brown Institute for Brain Science, Providence, RI 02912, USA
| | - J Q Pan
- Stanley Center of Psychiatric Research, Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
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Smedemark-Margulies N, Brownstein CA, Vargas S, Tembulkar SK, Towne MC, Shi J, Gonzalez-Cuevas E, Liu KX, Bilguvar K, Kleiman RJ, Han MJ, Torres A, Berry GT, Yu TW, Beggs AH, Agrawal PB, Gonzalez-Heydrich J. A novel de novo mutation in ATP1A3 and childhood-onset schizophrenia. Cold Spring Harb Mol Case Stud 2016; 2:a001008. [PMID: 27626066 PMCID: PMC5002930 DOI: 10.1101/mcs.a001008] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
We describe a child with onset of command auditory hallucinations and behavioral regression at 6 yr of age in the context of longer standing selective mutism, aggression, and mild motor delays. His genetic evaluation included chromosomal microarray analysis and whole-exome sequencing. Sequencing revealed a previously unreported heterozygous de novo mutation c.385G>A in ATP1A3, predicted to result in a p.V129M amino acid change. This gene codes for a neuron-specific isoform of the catalytic α-subunit of the ATP-dependent transmembrane sodium–potassium pump. Heterozygous mutations in this gene have been reported as causing both sporadic and inherited forms of alternating hemiplegia of childhood and rapid-onset dystonia parkinsonism. We discuss the literature on phenotypes associated with known variants in ATP1A3, examine past functional studies of the role of ATP1A3 in neuronal function, and describe a novel clinical presentation associated with mutation of this gene.
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Affiliation(s)
- Niklas Smedemark-Margulies
- Division of Immunology, Harvard Medical School, Boston, Massachusetts 02115, USA;; The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA
| | - Catherine A Brownstein
- The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA;; Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts 02115, USA;; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Sigella Vargas
- Developmental Neuropsychiatry Research Program, Department of Psychiatry, Boston Children's Hospital, Boston, Massachusetts 02115, USA
| | - Sahil K Tembulkar
- Developmental Neuropsychiatry Research Program, Department of Psychiatry, Boston Children's Hospital, Boston, Massachusetts 02115, USA
| | - Meghan C Towne
- The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA;; Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts 02115, USA
| | - Jiahai Shi
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Elisa Gonzalez-Cuevas
- The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA;; Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts 02115, USA
| | - Kevin X Liu
- Developmental Neuropsychiatry Research Program, Department of Psychiatry, Boston Children's Hospital, Boston, Massachusetts 02115, USA
| | - Kaya Bilguvar
- Department of Genetics, Yale Center for Genome Analysis, Yale School of Medicine, New Haven, Connecticut 06511, USA
| | - Robin J Kleiman
- Translational Neuroscience Center, Boston Children's Hospital, Boston, Massachusetts 02115, USA;; Department of Neurology, Harvard Medical School, Boston, Massachusetts 02115, USA;; Kirby Neurobiology Center, Boston Children's Hospital, Boston, Massachusetts 02115, USA
| | - Min-Joon Han
- Translational Neuroscience Center, Boston Children's Hospital, Boston, Massachusetts 02115, USA;; Department of Neurology, Harvard Medical School, Boston, Massachusetts 02115, USA;; Kirby Neurobiology Center, Boston Children's Hospital, Boston, Massachusetts 02115, USA
| | - Alcy Torres
- Division of Pediatric Neurology, Boston Medical Center and Boston University School of Medicine, Boston, Massachusetts 02118, USA
| | - Gerard T Berry
- The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA;; Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts 02115, USA
| | - Timothy W Yu
- The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA;; Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts 02115, USA;; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Alan H Beggs
- The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA;; Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts 02115, USA;; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Pankaj B Agrawal
- The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA;; Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts 02115, USA;; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts 02115, USA;; Division of Newborn Medicine, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Joseph Gonzalez-Heydrich
- Developmental Neuropsychiatry Research Program, Department of Psychiatry, Boston Children's Hospital, Boston, Massachusetts 02115, USA;; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts 02115, USA
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21
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Dhindsa RS, Goldstein DB. Genetic Discoveries Drive Molecular Analyses and Targeted Therapeutic Options in the Epilepsies. Curr Neurol Neurosci Rep 2016; 15:70. [PMID: 26319171 DOI: 10.1007/s11910-015-0587-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Epilepsy is a serious neurological disease with substantial genetic contribution. We have recently made major advances in understanding the genetics and etiology of the epilepsies. However, current antiepileptic drugs are ineffective in nearly one third of patients. Most of these drugs were developed without knowledge of the underlying causes of the epilepsy to be treated; thus, it seems reasonable to assume that further improvements require a deeper understanding of epilepsy pathophysiology. Although once the rate-limiting step, gene discovery is now occurring at an unprecedented rapid rate, especially in the epileptic encephalopathies. However, to place these genetic findings in a biological context and discover treatment options for patients, we must focus on developing an efficient framework for functional evaluation of the mutations that cause epilepsy. In this review, we discuss guidelines for gene discovery, emerging functional assays and models, and novel therapeutics to highlight the developing framework of precision medicine in the epilepsies.
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Affiliation(s)
- Ryan S Dhindsa
- Institute for Genomic Medicine, Columbia University, Hammer Building, 701 West 168th Street, Box 149, New York, NY, 10032, USA,
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22
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Zhu J, Fleming AM, Orendt AM, Burrows CJ. pH-Dependent Equilibrium between 5-Guanidinohydantoin and Iminoallantoin Affects Nucleotide Insertion Opposite the DNA Lesion. J Org Chem 2015; 81:351-9. [PMID: 26582419 DOI: 10.1021/acs.joc.5b02180] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Four-electron oxidation of 2'-deoxyguanosine (dG) yields 5-guanidinohydantoin (dGh) as a product. Previously, we hypothesized that dGh could isomerize to iminoallantoin (dIa) via a mechanism similar to the isomerization of allantoin. The isomerization reaction was monitored by HPLC and found to be pH dependent with a transition pH = 10.1 in which dGh was favored at low pH and dIa was favored at high pH. The structures for these isomers were confirmed by UV-vis, MS, and (1)H and (13)C NMR. Additionally, the UV-vis and NMR experimental results are supported by density functional theory calculations. A mechanism is proposed to support the pH dependency of the isomerization reaction. Next, we noted the hydantoin ring of dGh mimics thymine, while the iminohydantoin ring of dIa mimics cytosine; consequently, a dGh/dIa site was synthesized in a DNA template strand, and standing start primer extension studies were conducted with Klenow fragment exo(-). The dATP/dGTP insertion ratio opposite the dGh/dIa site as a function of pH was evaluated from pH 6.5-9.0. At pH 6.5, only dATP was inserted, but as the pH increased to 9.0, the amount of dGTP insertion steadily increased. This observation supports dGh to dIa isomerization in DNA with a transition pH of ∼8.2.
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Affiliation(s)
- Judy Zhu
- Department of Chemistry, University of Utah , 315 South 1400 East, Salt Lake City, Utah 84112-0850, United States
| | - Aaron M Fleming
- Department of Chemistry, University of Utah , 315 South 1400 East, Salt Lake City, Utah 84112-0850, United States
| | - Anita M Orendt
- Department of Chemistry, University of Utah , 315 South 1400 East, Salt Lake City, Utah 84112-0850, United States.,Center for High Performance Computing, University of Utah , Salt Lake City, Utah 84112-0190, United States
| | - Cynthia J Burrows
- Department of Chemistry, University of Utah , 315 South 1400 East, Salt Lake City, Utah 84112-0850, United States
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23
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The human gene damage index as a gene-level approach to prioritizing exome variants. Proc Natl Acad Sci U S A 2015; 112:13615-20. [PMID: 26483451 DOI: 10.1073/pnas.1518646112] [Citation(s) in RCA: 182] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The protein-coding exome of a patient with a monogenic disease contains about 20,000 variants, only one or two of which are disease causing. We found that 58% of rare variants in the protein-coding exome of the general population are located in only 2% of the genes. Prompted by this observation, we aimed to develop a gene-level approach for predicting whether a given human protein-coding gene is likely to harbor disease-causing mutations. To this end, we derived the gene damage index (GDI): a genome-wide, gene-level metric of the mutational damage that has accumulated in the general population. We found that the GDI was correlated with selective evolutionary pressure, protein complexity, coding sequence length, and the number of paralogs. We compared GDI with the leading gene-level approaches, genic intolerance, and de novo excess, and demonstrated that GDI performed best for the detection of false positives (i.e., removing exome variants in genes irrelevant to disease), whereas genic intolerance and de novo excess performed better for the detection of true positives (i.e., assessing de novo mutations in genes likely to be disease causing). The GDI server, data, and software are freely available to noncommercial users from lab.rockefeller.edu/casanova/GDI.
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24
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Yuan H, Low CM, Moody OA, Jenkins A, Traynelis SF. Ionotropic GABA and Glutamate Receptor Mutations and Human Neurologic Diseases. Mol Pharmacol 2015; 88:203-17. [PMID: 25904555 PMCID: PMC4468639 DOI: 10.1124/mol.115.097998] [Citation(s) in RCA: 158] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2015] [Accepted: 04/22/2015] [Indexed: 01/03/2023] Open
Abstract
The advent of whole exome/genome sequencing and the technology-driven reduction in the cost of next-generation sequencing as well as the introduction of diagnostic-targeted sequencing chips have resulted in an unprecedented volume of data directly linking patient genomic variability to disorders of the brain. This information has the potential to transform our understanding of neurologic disorders by improving diagnoses, illuminating the molecular heterogeneity underlying diseases, and identifying new targets for therapeutic treatment. There is a strong history of mutations in GABA receptor genes being involved in neurologic diseases, particularly the epilepsies. In addition, a substantial number of variants and mutations have been found in GABA receptor genes in patients with autism, schizophrenia, and addiction, suggesting potential links between the GABA receptors and these conditions. A new and unexpected outcome from sequencing efforts has been the surprising number of mutations found in glutamate receptor subunits, with the GRIN2A gene encoding the GluN2A N-methyl-d-aspartate receptor subunit being most often affected. These mutations are associated with multiple neurologic conditions, for which seizure disorders comprise the largest group. The GluN2A subunit appears to be a locus for epilepsy, which holds important therapeutic implications. Virtually all α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor mutations, most of which occur within GRIA3, are from patients with intellectual disabilities, suggesting a link to this condition. Similarly, the most common phenotype for kainate receptor variants is intellectual disability. Herein, we summarize the current understanding of disease-associated mutations in ionotropic GABA and glutamate receptor families, and discuss implications regarding the identification of human mutations and treatment of neurologic diseases.
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Affiliation(s)
- Hongjie Yuan
- Departments of Pharmacology (H.Y., A.J., S.F.T.) and Anesthesiology (O.A.M., A.J.), Emory University School of Medicine, Rollins Research Center, Atlanta, Georgia; and Departments of Pharmacology and Anaesthesia, Yong Loo Lin School of Medicine, National University of Singapore Graduate School for Integrative Sciences and Engineering, and Neurobiology/Ageing Programme, National University of Singapore, Singapore (C.-M.L.)
| | - Chian-Ming Low
- Departments of Pharmacology (H.Y., A.J., S.F.T.) and Anesthesiology (O.A.M., A.J.), Emory University School of Medicine, Rollins Research Center, Atlanta, Georgia; and Departments of Pharmacology and Anaesthesia, Yong Loo Lin School of Medicine, National University of Singapore Graduate School for Integrative Sciences and Engineering, and Neurobiology/Ageing Programme, National University of Singapore, Singapore (C.-M.L.)
| | - Olivia A Moody
- Departments of Pharmacology (H.Y., A.J., S.F.T.) and Anesthesiology (O.A.M., A.J.), Emory University School of Medicine, Rollins Research Center, Atlanta, Georgia; and Departments of Pharmacology and Anaesthesia, Yong Loo Lin School of Medicine, National University of Singapore Graduate School for Integrative Sciences and Engineering, and Neurobiology/Ageing Programme, National University of Singapore, Singapore (C.-M.L.)
| | - Andrew Jenkins
- Departments of Pharmacology (H.Y., A.J., S.F.T.) and Anesthesiology (O.A.M., A.J.), Emory University School of Medicine, Rollins Research Center, Atlanta, Georgia; and Departments of Pharmacology and Anaesthesia, Yong Loo Lin School of Medicine, National University of Singapore Graduate School for Integrative Sciences and Engineering, and Neurobiology/Ageing Programme, National University of Singapore, Singapore (C.-M.L.)
| | - Stephen F Traynelis
- Departments of Pharmacology (H.Y., A.J., S.F.T.) and Anesthesiology (O.A.M., A.J.), Emory University School of Medicine, Rollins Research Center, Atlanta, Georgia; and Departments of Pharmacology and Anaesthesia, Yong Loo Lin School of Medicine, National University of Singapore Graduate School for Integrative Sciences and Engineering, and Neurobiology/Ageing Programme, National University of Singapore, Singapore (C.-M.L.)
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