551
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Genomics in neurodevelopmental disorders: an avenue to personalized medicine. Exp Mol Med 2018; 50:1-7. [PMID: 30089840 PMCID: PMC6082867 DOI: 10.1038/s12276-018-0129-7] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 04/30/2018] [Accepted: 05/16/2018] [Indexed: 01/25/2023] Open
Abstract
Despite the remarkable number of scientific breakthroughs of the last 100 years, the treatment of neurodevelopmental disorders (e.g., autism spectrum disorder, intellectual disability) remains a great challenge. Recent advancements in genomics, such as whole-exome or whole-genome sequencing, have enabled scientists to identify numerous mutations underlying neurodevelopmental disorders. Given the few hundred risk genes that have been discovered, the etiological variability and the heterogeneous clinical presentation, the need for genotype—along with phenotype-based diagnosis of individual patients has become a requisite. In this review we look at recent advancements in genomic analysis and their translation into clinical practice. The identification of genetic mutations associated with neurodevelopmental disorders (NDDs) along with routine diagnosis based on patients’ characteristics is aiding the delivery of personalized therapies. Dora Tarlungeanu and Gaia Novarino at the Institute of Science and Technology in Klosterneuburg, Austria, review recent advances in genetic technologies, such as whole exome sequencing, that can lead to early intervention, guide choice of treatment and prompt genetic counseling. Introducing the mutations associated with NDDs into model organisms or stem cells is revealing some of the mechanisms underlying NDDs and enabling the evaluation of novel therapeutic strategies that target core symptoms of the disorders. To accelerate the implementation of individualized treatments for NDD the authors highlight the need to adopt interdisciplinary research approaches and to keep clinical staff updated on the latest findings in NDD genetics.
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552
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Wou K, Weitz T, McCormack C, Wynn J, Spiegel E, Giordano J, Wapner RJ, Chung WK. Parental perceptions of prenatal whole exome sequencing (PPPWES) study. Prenat Diagn 2018; 38:801-811. [PMID: 30035818 DOI: 10.1002/pd.5332] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 05/06/2018] [Accepted: 07/11/2018] [Indexed: 12/15/2022]
Abstract
OBJECTIVE The objective of the study is to investigate the experiences of couples who underwent prenatal whole-exome sequencing (WES) for fetal anomalies and the amount/type of information couples want from prenatal WES. METHOD Participants in the Fetal Sequencing Study who had genetic testing for fetal anomalies were invited for a semistructured interview about their experience with prenatal WES. A constructivist grounded theory approach with an inductive coding style was used for coding and analysis. RESULTS We interviewed 29 participants from 17 pregnancies. Two pregnancies had positive prenatal WES results, and 4 were terminated prior to receipt of WES results. The main themes were anxiety and stress around the time of diagnosis, education and consent for WES, coping and support while waiting for results, and receiving genetic testing results. In response to hypothetical scenarios probing the desire for uncertain results, 86% would like to be told about results for which the provider had some degree of uncertainty, and the percent desiring results decreased as the certainty of the results decreased. CONCLUSION Participants' experience with exome sequence was similar to other prenatal genetic diagnostic tests, except for the longer wait time for results. When probed with hypothetical scenarios, participants desired more results than were provided in the study, including uncertain results that might diagnose the fetal condition. This highlights the need for specialized prenatal genetic counseling to have nuanced discussions of multiple dimensions of uncertainty with implementation of prenatal WES.
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Affiliation(s)
- Karen Wou
- Department of Pediatrics, Division of Clinical Genetics, Columbia University, New York, NY, USA
| | - Talia Weitz
- College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Clare McCormack
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University, New York, NY, USA
| | - Julia Wynn
- Department of Pediatrics, Division of Clinical Genetics, Columbia University, New York, NY, USA
| | - Erica Spiegel
- Department of Obstetrics and Gynecology, Division of Reproductive Genetics, Columbia University, New York, NY, USA
| | - Jessica Giordano
- Department of Obstetrics and Gynecology, Division of Reproductive Genetics, Columbia University, New York, NY, USA
| | - Ronald J Wapner
- Department of Obstetrics and Gynecology, Division of Reproductive Genetics, Columbia University, New York, NY, USA
| | - Wendy K Chung
- Department of Pediatrics, Division of Clinical Genetics, Columbia University, New York, NY, USA.,Department of Pediatrics, Division of Molecular Genetics, and Department of Medicine, Columbia University, New York, NY, USA
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553
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Hanada K. Lipid transfer proteins rectify inter-organelle flux and accurately deliver lipids at membrane contact sites. J Lipid Res 2018; 59:1341-1366. [PMID: 29884707 PMCID: PMC6071762 DOI: 10.1194/jlr.r085324] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 05/24/2018] [Indexed: 12/22/2022] Open
Abstract
The endoplasmic reticulum (ER) is the main center for the synthesis of various lipid types in cells, and newly synthesized lipids are delivered from the ER to other organelles. In the past decade, various lipid transfer proteins (LTPs) have been recognized as mediators of lipid transport from the ER to other organelles; inter-organelle transport occurs at membrane contact sites (MCSs) and in a nonvesicular manner. Although the intermembrane transfer reaction catalyzed by LTPs is an equilibrium reaction, various types of newly synthesized lipids are transported unidirectionally in cells. This review provides a brief history of the inter-organelle trafficking of lipids and summarizes the structural and biochemical characteristics of the ceramide transport protein (CERT) as a typical LTP acting at MCSs. In addition, this review compares several LTP-mediated inter-organelle lipid trafficking systems and proposes that LTPs generate unidirectional fluxes of specific lipids between different organelles by indirect coupling with the metabolic reactions that occur in specific organelles. Moreover, the available data also suggest that the major advantage of LTP-mediated lipid transport at MCSs may be the accuracy of delivery. Finally, how cholesterol is enriched in the plasma membrane is discussed from a thermodynamic perspective.
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Affiliation(s)
- Kentaro Hanada
- Department of Biochemistry and Cell Biology, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo 162-8640, Japan
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554
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Martin J, Taylor MJ, Lichtenstein P. Assessing the evidence for shared genetic risks across psychiatric disorders and traits. Psychol Med 2018; 48:1759-1774. [PMID: 29198204 PMCID: PMC6088770 DOI: 10.1017/s0033291717003440] [Citation(s) in RCA: 94] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Revised: 10/26/2017] [Accepted: 10/27/2017] [Indexed: 12/21/2022]
Abstract
Genetic influences play a significant role in risk for psychiatric disorders, prompting numerous endeavors to further understand their underlying genetic architecture. In this paper, we summarize and review evidence from traditional twin studies and more recent genome-wide molecular genetic analyses regarding two important issues that have proven particularly informative for psychiatric genetic research. First, emerging results are beginning to suggest that genetic risk factors for some (but not all) clinically diagnosed psychiatric disorders or extreme manifestations of psychiatric traits in the population share genetic risks with quantitative variation in milder traits of the same disorder throughout the general population. Second, there is now evidence for substantial sharing of genetic risks across different psychiatric disorders. This extends to the level of characteristic traits throughout the population, with which some clinical disorders also share genetic risks. In this review, we summarize and evaluate the evidence for these two issues, for a range of psychiatric disorders. We then critically appraise putative interpretations regarding the potential meaning of genetic correlation across psychiatric phenotypes. We highlight several new methods and studies which are already using these insights into the genetic architecture of psychiatric disorders to gain additional understanding regarding the underlying biology of these disorders. We conclude by outlining opportunities for future research in this area.
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Affiliation(s)
- Joanna Martin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Mark J. Taylor
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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555
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Sundaram L, Gao H, Padigepati SR, McRae JF, Li Y, Kosmicki JA, Fritzilas N, Hakenberg J, Dutta A, Shon J, Xu J, Batzoglou S, Li X, Farh KKH. Predicting the clinical impact of human mutation with deep neural networks. Nat Genet 2018; 50:1161-1170. [PMID: 30038395 PMCID: PMC6237276 DOI: 10.1038/s41588-018-0167-z] [Citation(s) in RCA: 282] [Impact Index Per Article: 40.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 05/29/2018] [Indexed: 12/20/2022]
Abstract
Millions of human genomes and exomes have been sequenced, but their clinical applications remain limited due to the difficulty of distinguishing disease-causing mutations from benign genetic variation. Here we demonstrate that common missense variants in other primate species are largely clinically benign in human, enabling pathogenic mutations to be systematically identified by the process of elimination. Using hundreds of thousands of common variants from population sequencing of six non-human primate species, we train a deep neural network that identifies pathogenic mutations in rare disease patients with 88% accuracy and enables the discovery of 14 new candidate genes in intellectual disability at genome-wide significance. Cataloging common variation from additional primate species would improve interpretation for millions of variants of uncertain significance, further advancing the clinical utility of human genome sequencing.
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Affiliation(s)
- Laksshman Sundaram
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
- National Science Foundation Center for Big Learning, University of Florida, Gainesville, FL, USA
| | - Hong Gao
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA
| | - Samskruthi Reddy Padigepati
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA
- National Science Foundation Center for Big Learning, University of Florida, Gainesville, FL, USA
| | - Jeremy F McRae
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA
| | - Yanjun Li
- National Science Foundation Center for Big Learning, University of Florida, Gainesville, FL, USA
| | - Jack A Kosmicki
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA
- Analytic and Translational Genetics Unit (ATGU), Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Nondas Fritzilas
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA
| | - Jörg Hakenberg
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA
| | - Anindita Dutta
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA
| | - John Shon
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA
| | - Jinbo Xu
- Toyota Technological Institute at Chicago, Chicago, IL, USA
| | - Serafim Batzoglou
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA
| | - Xiaolin Li
- National Science Foundation Center for Big Learning, University of Florida, Gainesville, FL, USA
| | - Kyle Kai-How Farh
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA.
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556
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Adamson KI, Sheridan E, Grierson AJ. Use of zebrafish models to investigate rare human disease. J Med Genet 2018; 55:641-649. [PMID: 30065072 DOI: 10.1136/jmedgenet-2018-105358] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 07/02/2018] [Accepted: 07/04/2018] [Indexed: 01/07/2023]
Abstract
Rare diseases are collectively common and often extremely debilitating. Following the emergence of next-generation sequencing (NGS) technologies, the variants underpinning rare genetic disorders are being unearthed at an accelerating rate. However, many rare conditions lack effective treatments due to their poorly understood pathophysiology. There is therefore a growing demand for the development of novel experimental models of rare genetic diseases, so that potentially causative variants can be validated, pathogenic mechanisms can be investigated and therapeutic targets can be identified. Animal models of rare diseases need to be genetically and physiologically similar to humans, and well-suited to large-scale experimental manipulation, considering the vast number of novel variants that are being identified through NGS. The zebrafish has emerged as a popular model system for investigating these variants, combining conserved vertebrate characteristics with a capacity for large-scale phenotypic and therapeutic screening. In this review, we aim to highlight the unique advantages of the zebrafish over other in vivo model systems for the large-scale study of rare genetic variants. We will also consider the generation of zebrafish disease models from a practical standpoint, by discussing how genome editing technologies, particularly the recently developed clustered regularly interspaced repeat (CRISPR)/CRISPR-associated protein 9 system, can be used to model rare pathogenic variants in zebrafish. Finally, we will review examples in the literature where zebrafish models have played a pivotal role in confirming variant causality and revealing the underlying mechanisms of rare diseases, often with wider implications for our understanding of human biology.
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Affiliation(s)
- Kathryn Isabel Adamson
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | | | - Andrew James Grierson
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.,Department of Neuroscience, University of Sheffield, Sheffield, UK
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557
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Furey CG, Choi J, Jin SC, Zeng X, Timberlake AT, Nelson-Williams C, Mansuri MS, Lu Q, Duran D, Panchagnula S, Allocco A, Karimy JK, Khanna A, Gaillard JR, DeSpenza T, Antwi P, Loring E, Butler WE, Smith ER, Warf BC, Strahle JM, Limbrick DD, Storm PB, Heuer G, Jackson EM, Iskandar BJ, Johnston JM, Tikhonova I, Castaldi C, López-Giráldez F, Bjornson RD, Knight JR, Bilguvar K, Mane S, Alper SL, Haider S, Guclu B, Bayri Y, Sahin Y, Apuzzo MLJ, Duncan CC, DiLuna ML, Günel M, Lifton RP, Kahle KT. De Novo Mutation in Genes Regulating Neural Stem Cell Fate in Human Congenital Hydrocephalus. Neuron 2018; 99:302-314.e4. [PMID: 29983323 PMCID: PMC7839075 DOI: 10.1016/j.neuron.2018.06.019] [Citation(s) in RCA: 108] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 04/03/2018] [Accepted: 06/12/2018] [Indexed: 12/30/2022]
Abstract
Congenital hydrocephalus (CH), featuring markedly enlarged brain ventricles, is thought to arise from failed cerebrospinal fluid (CSF) homeostasis and is treated with lifelong surgical CSF shunting with substantial morbidity. CH pathogenesis is poorly understood. Exome sequencing of 125 CH trios and 52 additional probands identified three genes with significant burden of rare damaging de novo or transmitted mutations: TRIM71 (p = 2.15 × 10-7), SMARCC1 (p = 8.15 × 10-10), and PTCH1 (p = 1.06 × 10-6). Additionally, two de novo duplications were identified at the SHH locus, encoding the PTCH1 ligand (p = 1.2 × 10-4). Together, these probands account for ∼10% of studied cases. Strikingly, all four genes are required for neural tube development and regulate ventricular zone neural stem cell fate. These results implicate impaired neurogenesis (rather than active CSF accumulation) in the pathogenesis of a subset of CH patients, with potential diagnostic, prognostic, and therapeutic ramifications.
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Affiliation(s)
- Charuta Gavankar Furey
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Jungmin Choi
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Sheng Chih Jin
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Xue Zeng
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Andrew T Timberlake
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Carol Nelson-Williams
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
| | - M Shahid Mansuri
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Qiongshi Lu
- Department of Biostatistics & Medical Informatics, University of Wisconsin, Madison, WI 53706, USA
| | - Daniel Duran
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Shreyas Panchagnula
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - August Allocco
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Jason K Karimy
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Arjun Khanna
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Jonathan R Gaillard
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Tyrone DeSpenza
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Prince Antwi
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Erin Loring
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA
| | - William E Butler
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Edward R Smith
- Department of Neurosurgery, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Benjamin C Warf
- Department of Neurosurgery, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jennifer M Strahle
- Department of Neurological Surgery and Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, USA
| | - David D Limbrick
- Department of Neurological Surgery and Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, USA
| | - Phillip B Storm
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Gregory Heuer
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Eric M Jackson
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - Bermans J Iskandar
- Department of Neurological Surgery, University of Wisconsin Medical School, Madison, WI 53726, USA
| | - James M Johnston
- Department of Neurosurgery, University of Alabama School of Medicine, Birmingham, AL 35233, USA
| | - Irina Tikhonova
- Yale Center for Genome Analysis, Yale University, New Haven, CT 06510, USA
| | | | | | - Robert D Bjornson
- Yale Center for Genome Analysis, Yale University, New Haven, CT 06510, USA
| | - James R Knight
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Yale Center for Genome Analysis, Yale University, New Haven, CT 06510, USA
| | - Kaya Bilguvar
- Yale Center for Genome Analysis, Yale University, New Haven, CT 06510, USA
| | - Shrikant Mane
- Yale Center for Genome Analysis, Yale University, New Haven, CT 06510, USA
| | - Seth L Alper
- Division of Nephrology and Center for Vascular Biology Research, Beth Israel Deaconess Medical Center, Department of Medicine, Harvard Medical School, Boston, MA 02215, USA
| | - Shozeb Haider
- Department of Pharmaceutical and Biological Chemistry, University College London School of Pharmacy, London WC1N 1AX, UK
| | - Bulent Guclu
- Kartal Dr. Lutfi Kirdar Research and Training Hospital, Istanbul 34860, Turkey
| | - Yasar Bayri
- Acibadem Mehmet Ali Aydinlar University, School of Medicine, Department of Neurosurgery, Division of Pediatric Neurosurgery, Istanbul 34752, Turkey
| | - Yener Sahin
- Acibadem Mehmet Ali Aydinlar University, School of Medicine, Department of Neurosurgery, Division of Pediatric Neurosurgery, Istanbul 34752, Turkey
| | - Michael L J Apuzzo
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Charles C Duncan
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Michael L DiLuna
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Murat Günel
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Richard P Lifton
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Laboratory of Human Genetics and Genomics, The Rockefeller University, New York, NY 10065, USA
| | - Kristopher T Kahle
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA; Department of Cellular & Molecular Physiology, Yale University School of Medicine, New Haven, CT 06510, USA.
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558
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Nonsyndromic intellectual disability with novel heterozygous SCN2A mutation and epilepsy. Hum Genome Var 2018; 5:20. [PMID: 30062040 PMCID: PMC6054605 DOI: 10.1038/s41439-018-0019-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 06/02/2018] [Accepted: 06/04/2018] [Indexed: 11/23/2022] Open
Abstract
SCN2A mutations are primarily associated with a variety of epilepsy syndromes. Recently, SCN2A has been reported as a gene responsible for nonsyndromic intellectual disability or autism spectrum disorders. Here, we present a case of a 12-year-old girl with nonsyndromic intellectual disability who exhibited a heterozygous de novo missense mutation in SCN2A. She developed seizures during the course of illness. This case suggests that the phenotype of patients with heterozygous SCN2A mutations can be variable.
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559
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Ton ND, Nakagawa H, Ha NH, Duong NT, Nhung VP, Hien LTT, Hue HTT, Hoang NH, Wong JH, Nakano K, Maejima K, Sasaki-Oku A, Tsunoda T, Fujimoto A, Van Hai N. Whole genome sequencing and mutation rate analysis of trios with paternal dioxin exposure. Hum Mutat 2018; 39:1384-1392. [PMID: 29969170 DOI: 10.1002/humu.23585] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 06/14/2018] [Accepted: 06/29/2018] [Indexed: 11/12/2022]
Abstract
2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) or dioxin, is commonly considered the most toxic man-made substance. Dioxin exposure impacts human health and diseases, birth defects and teratogenesis were frequently observed in children of persons who have been exposed to dioxin. However, the impact of dioxin on human mutation rate in trios has not yet been elucidated at the whole genome level. To identify and characterize the genetic alterations in the individuals exposed to dioxin, we performed whole genome sequencing (WGS) of nine Vietnamese trios whose fathers were exposed to dioxin. In total, 846 de novo point mutations, 26 de novo insertions and deletions, 4 de novo structural variations, and 1 de novo copy number variation were identified. The number of point mutations and dioxin concentrations were positively correlated (P-value < 0.05). Considering the substitution pattern, the number of A > T/T > A mutation and the dioxin concentration was positively correlated (P-value < 0.05). Our analysis also identified one possible disease-related mutation in LAMA5 in one trio. These findings suggested that dioxin exposure might affect father genomes of trios leading to de novo mutations in their children. Further analysis with larger sample sizes would be required to better clarify mutation rates and substitution patterns in trios caused by dioxin.
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Affiliation(s)
- Nguyen Dang Ton
- Institute of Genome Research, Vietnam Academy of Science and Technology, Ha Noi, Vietnam.,Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Tokyo, Japan
| | - Hidewaki Nakagawa
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Tokyo, Japan
| | - Nguyen Hai Ha
- Institute of Genome Research, Vietnam Academy of Science and Technology, Ha Noi, Vietnam
| | - Nguyen Thuy Duong
- Institute of Genome Research, Vietnam Academy of Science and Technology, Ha Noi, Vietnam
| | - Vu Phuong Nhung
- Institute of Genome Research, Vietnam Academy of Science and Technology, Ha Noi, Vietnam
| | - Le Thi Thu Hien
- Institute of Genome Research, Vietnam Academy of Science and Technology, Ha Noi, Vietnam
| | - Huynh Thi Thu Hue
- Institute of Genome Research, Vietnam Academy of Science and Technology, Ha Noi, Vietnam
| | - Nguyen Huy Hoang
- Institute of Genome Research, Vietnam Academy of Science and Technology, Ha Noi, Vietnam
| | - Jing Hao Wong
- Department of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Kaoru Nakano
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Tokyo, Japan
| | - Kazuhiro Maejima
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Tokyo, Japan
| | - Aya Sasaki-Oku
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Tokyo, Japan
| | - Tatsuhiko Tsunoda
- Laboratory for Medical Science Mathematics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.,Department of Medical Science Mathematics, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
| | - Akihiro Fujimoto
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Tokyo, Japan.,Department of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Nong Van Hai
- Institute of Genome Research, Vietnam Academy of Science and Technology, Ha Noi, Vietnam
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560
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Clark MM, Stark Z, Farnaes L, Tan TY, White SM, Dimmock D, Kingsmore SF. Meta-analysis of the diagnostic and clinical utility of genome and exome sequencing and chromosomal microarray in children with suspected genetic diseases. NPJ Genom Med 2018; 3:16. [PMID: 30002876 PMCID: PMC6037748 DOI: 10.1038/s41525-018-0053-8] [Citation(s) in RCA: 402] [Impact Index Per Article: 57.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Revised: 04/30/2018] [Accepted: 05/10/2018] [Indexed: 12/14/2022] Open
Abstract
Genetic diseases are leading causes of childhood mortality. Whole-genome sequencing (WGS) and whole-exome sequencing (WES) are relatively new methods for diagnosing genetic diseases, whereas chromosomal microarray (CMA) is well established. Here we compared the diagnostic utility (rate of causative, pathogenic, or likely pathogenic genotypes in known disease genes) and clinical utility (proportion in whom medical or surgical management was changed by diagnosis) of WGS, WES, and CMA in children with suspected genetic diseases by systematic review of the literature (January 2011–August 2017) and meta-analysis, following MOOSE/PRISMA guidelines. In 37 studies, comprising 20,068 children, diagnostic utility of WGS (0.41, 95% CI 0.34–0.48, I2 = 44%) and WES (0.36, 95% CI 0.33–0.40, I2 = 83%) were qualitatively greater than CMA (0.10, 95% CI 0.08–0.12, I2 = 81%). Among studies published in 2017, the diagnostic utility of WGS was significantly greater than CMA (P < 0.0001, I2 = 13% and I2 = 40%, respectively). Among studies featuring within-cohort comparisons, the diagnostic utility of WES was significantly greater than CMA (P < 0.001, I2 = 36%). The diagnostic utility of WGS and WES were not significantly different. In studies featuring within-cohort comparisons of WGS/WES, the likelihood of diagnosis was significantly greater for trios than singletons (odds ratio 2.04, 95% CI 1.62–2.56, I2 = 12%; P < 0.0001). Diagnostic utility of WGS/WES with hospital-based interpretation (0.42, 95% CI 0.38–0.45, I2 = 48%) was qualitatively higher than that of reference laboratories (0.29, 95% CI 0.27–0.31, I2 = 49%); this difference was significant among studies published in 2017 (P < .0001, I2 = 22% and I2 = 26%, respectively). The clinical utility of WGS (0.27, 95% CI 0.17–0.40, I2 = 54%) and WES (0.17, 95% CI 0.12–0.24, I2 = 76%) were higher than CMA (0.06, 95% CI 0.05–0.07, I2 = 42%); this difference was significant for WGS vs CMA (P < 0.0001). In conclusion, in children with suspected genetic diseases, the diagnostic and clinical utility of WGS/WES were greater than CMA. Subgroups with higher WGS/WES diagnostic utility were trios and those receiving hospital-based interpretation. WGS/WES should be considered a first-line genomic test for children with suspected genetic diseases. Children with suspected genetic disease are more likely to receive a diagnosis when gene sequencing technologies are employed. At present, a microarray test for short pieces of missing or extra chromosomes (chromosomal microarray, CMA) is the recommended test for diagnosing genetic disease in children. The recent use of whole-genome sequencing (WGS) and whole-exome sequencing (WES) for diagnosing genetic disease prompted Stephen Kingsmore at Rady Children’s Institute for Genomic Medicine in San Diego, California, USA, and colleagues to examine the effectiveness of these methods compared with CMA. Analyses of studies comprising over 20,000 children showed that using WGS and WES increased the likelihood of diagnosis and led to a change in inpatient management to prevent or ameliorate adverse health outcomes. The authors advocate the use of WGS or WES as a first-line genomic test for genetic disease in children.
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Affiliation(s)
- Michelle M Clark
- Rady Children's Institute for Genomic Medicine, San Diego, CA USA
| | - Zornitza Stark
- 2Murdoch Children's Research Institute, Melbourne, Australia
| | - Lauge Farnaes
- Rady Children's Institute for Genomic Medicine, San Diego, CA USA.,3Department of Pediatrics, University of California San Diego, San Diego, CA USA
| | - Tiong Y Tan
- 2Murdoch Children's Research Institute, Melbourne, Australia.,4Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - Susan M White
- 2Murdoch Children's Research Institute, Melbourne, Australia.,4Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - David Dimmock
- Rady Children's Institute for Genomic Medicine, San Diego, CA USA
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561
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Engel N. Sex Differences in Early Embryogenesis: Inter-Chromosomal Regulation Sets the Stage for Sex-Biased Gene Networks: The dialogue between the sex chromosomes and autosomes imposes sexual identity soon after fertilization. Bioessays 2018; 40:e1800073. [PMID: 29943439 DOI: 10.1002/bies.201800073] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 06/02/2018] [Indexed: 12/23/2022]
Abstract
Sex-specific transcriptional and epigenomic profiles are detectable in the embryo very soon after fertilization. I propose that in male (XY) and female (XX) pre-implantation embryos sex chromosomes establish sexually dimorphic interactions with the autosomes, before overt differences become apparent and long before gonadogenesis. Lineage determination restricts expression biases between the sexes, but the epigenetic differences are less constrained and can be perpetuated, accounting for dimorphisms that arise later in life. In this way, sexual identity is registered in the epigenome very early in development. As development progresses, sex-specific regulatory modules are harbored within shared transcriptional networks that delineate common traits. In reviewing this field, I propose that analyzing the mechanisms for sexual dimorphisms at the molecular and biochemical level and incorporating developmental and environmental factors will lead to a greater understanding of sex differences in health and disease. Also see the video abstract here: https://youtu.be/9BPlbrHtkHQ.
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Affiliation(s)
- Nora Engel
- Lewis Katz School of Medicine at Temple University - Fels Institute for Cancer Research, 3400 North Broad St., AHB Room 201, Philadelphia, Pennsylvania, 19140, USA
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562
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Rahman J, Rahman S. Mitochondrial medicine in the omics era. Lancet 2018; 391:2560-2574. [PMID: 29903433 DOI: 10.1016/s0140-6736(18)30727-x] [Citation(s) in RCA: 185] [Impact Index Per Article: 26.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Revised: 02/28/2018] [Accepted: 03/14/2018] [Indexed: 12/16/2022]
Abstract
Mitochondria are dynamic bioenergetic organelles whose maintenance requires around 1500 proteins from two genomes. Mutations in either the mitochondrial or nuclear genome can disrupt a plethora of cellular metabolic and homoeostatic functions. Mitochondrial diseases represent one of the most common and severe groups of inherited genetic disorders, characterised by clinical, biochemical, and genetic heterogeneity, diagnostic odysseys, and absence of disease-modifying curative therapies. This Review aims to discuss recent advances in mitochondrial biology and medicine arising from widespread use of high-throughput omics technologies, and also includes a broad discussion of emerging therapies for mitochondrial disease. New insights into both bioenergetic and biosynthetic mitochondrial functionalities have expedited the genetic diagnosis of primary mitochondrial disorders, and identified novel mitochondrial pathomechanisms and new targets for therapeutic intervention. As we enter this new era of mitochondrial medicine, underpinned by global unbiased approaches and multifaceted investigation of mitochondrial function, omics technologies will continue to shed light on unresolved mitochondrial questions, paving the way for improved outcomes for patients with mitochondrial diseases.
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Affiliation(s)
- Joyeeta Rahman
- Mitochondrial Research Group, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Shamima Rahman
- Mitochondrial Research Group, UCL Great Ormond Street Institute of Child Health, London, UK; Metabolic Unit, Great Ormond Street Hospital NHS Foundation Trust, London, UK.
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563
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Lamar KMJ, Carvill GL. Chromatin Remodeling Proteins in Epilepsy: Lessons From CHD2-Associated Epilepsy. Front Mol Neurosci 2018; 11:208. [PMID: 29962935 PMCID: PMC6013553 DOI: 10.3389/fnmol.2018.00208] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 05/25/2018] [Indexed: 12/24/2022] Open
Abstract
The chromodomain helicase DNA-binding (CHD) family of proteins are ATP-dependent chromatin remodelers that contribute to the reorganization of chromatin structure and deposition of histone variants necessary to regulate gene expression. CHD proteins play an important role in neurodevelopment, as pathogenic variants in CHD1, CHD2, CHD4, CHD7 and CHD8 have been associated with a range of neurological phenotypes, including autism spectrum disorder (ASD), intellectual disability (ID) and epilepsy. Pathogenic variants in CHD2 are associated with developmental epileptic encephalopathy (DEE) in humans, however little is known about how these variants contribute to this disorder. Of the nine CHD family members, CHD2 is the only one that leads to a brain-restricted phenotype when disrupted in humans. This suggests that despite being expressed ubiquitously, CHD2 has a unique role in human brain development and function. In this review, we will discuss the phenotypic spectrum of patients with pathogenic variants in CHD2, current animal models of CHD2 deficiency, and the role of CHD2 in proliferation, neurogenesis, neuronal differentiation, chromatin remodeling and DNA-repair. We also consider how CHD2 depletion can affect each of these biological mechanisms and how these defects may underpin neurodevelopmental disorders including epilepsy.
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Affiliation(s)
- Kay-Marie J Lamar
- Ken and Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Gemma L Carvill
- Ken and Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
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564
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An interactome perturbation framework prioritizes damaging missense mutations for developmental disorders. Nat Genet 2018; 50:1032-1040. [PMID: 29892012 DOI: 10.1038/s41588-018-0130-z] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Accepted: 04/06/2018] [Indexed: 01/20/2023]
Abstract
Identifying disease-associated missense mutations remains a challenge, especially in large-scale sequencing studies. Here we establish an experimentally and computationally integrated approach to investigate the functional impact of missense mutations in the context of the human interactome network and test our approach by analyzing ~2,000 de novo missense mutations found in autism subjects and their unaffected siblings. Interaction-disrupting de novo missense mutations are more common in autism probands, principally affect hub proteins, and disrupt a significantly higher fraction of hub interactions than in unaffected siblings. Moreover, they tend to disrupt interactions involving genes previously implicated in autism, providing complementary evidence that strengthens previously identified associations and enhances the discovery of new ones. Importantly, by analyzing de novo missense mutation data from six disorders, we demonstrate that our interactome perturbation approach offers a generalizable framework for identifying and prioritizing missense mutations that contribute to the risk of human disease.
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565
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Crivelli SM, Paulus A, Markus J, Bauwens M, Berkes D, De Vries HE, Mulder MT, Walter J, Mottaghy FM, Losen M, Martinez-Martinez P. Synthesis, Radiosynthesis, and Preliminary in vitro and in vivo Evaluation of the Fluorinated Ceramide Trafficking Inhibitor (HPA-12) for Brain Applications. J Alzheimers Dis 2018; 60:783-794. [PMID: 28922150 DOI: 10.3233/jad-161231] [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] [Indexed: 01/21/2023]
Abstract
Ceramide levels are increased in blood and brain tissue of Alzheimer's disease (AD) patients. Since the ceramide transporter protein (CERT) is the only known protein able to mediate non-vesicular transfer of ceramide between organelle membranes, the modulation of CERT function may impact on ceramide accumulation. The competitive CERT inhibitor N-(3-hydroxy-1-hydroxymethyl-3-phenylpropyl) dodecanamide (HPA-12) interferes with ceramide trafficking. To understand the role of ceramide/CERT in AD, HPA-12 can be a useful tool to modulate ceramide trafficking. Here we first report the synthesis and in vitro properties of HPA-12 radiolabeled with fluorine-18 and present preliminary in vitro and in vivo positron emission tomography (PET) imaging and biodistribution data. In vitro results demonstrated that the fluorination did not alter the biological properties of HPA-12 since the [fluorine-19]HPA-12, interferes with 5-DMB-ceramide trafficking in HeLa cells. Radiolabeled HPA-12, [fluorine-18]HPA-12, was obtained with a radiochemical yield of 90% and a specific activity of 73 MBq/μmol. PET imaging on wild-type mice showed hepatobiliary clearance and a brain uptake on the order of 0.3 standard uptake value (SUV) one hour post injection. Furthermore, the biodistribution data showed that after removal of the blood by intracardial perfusion, radioactivity was still measurable in the brain demonstrating that the [fluorine-18]HPA-12 crosses the blood brain barrier and is retained in the brain.
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Affiliation(s)
- Simone M Crivelli
- Maastricht University, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht, The Netherlands
| | - Andreas Paulus
- NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.,Department of Medical Imaging, Division of Nuclear Medicine, MUMC, Maastricht, The Netherlands.,Division of Nuclear Medicine, Uniklinikum Aachen, Aachen, Germany
| | - Jozef Markus
- Department of Organic Chemistry, Slovak University of Technology, Bratislava, SlovakRepublic
| | - Matthias Bauwens
- NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Dusan Berkes
- Department of Organic Chemistry, Slovak University of Technology, Bratislava, SlovakRepublic
| | - Helga E De Vries
- Department of Molecular Cell Biologyand Immunology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Monique T Mulder
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Jochen Walter
- Department of Neurology, University of Bonn, Bonn, Germany
| | - Felix M Mottaghy
- NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.,Department of Medical Imaging, Division of Nuclear Medicine, MUMC, Maastricht, The Netherlands.,Division of Nuclear Medicine, Uniklinikum Aachen, Aachen, Germany
| | - Mario Losen
- Maastricht University, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht, The Netherlands
| | - Pilar Martinez-Martinez
- Maastricht University, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht, The Netherlands
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566
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Han X, Chen S, Flynn E, Wu S, Wintner D, Shen Y. Distinct epigenomic patterns are associated with haploinsufficiency and predict risk genes of developmental disorders. Nat Commun 2018; 9:2138. [PMID: 29849042 PMCID: PMC5976622 DOI: 10.1038/s41467-018-04552-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Accepted: 05/08/2018] [Indexed: 12/21/2022] Open
Abstract
Haploinsufficiency is a major mechanism of genetic risk in developmental disorders. Accurate prediction of haploinsufficient genes is essential for prioritizing and interpreting deleterious variants in genetic studies. Current methods based on mutation intolerance in population data suffer from inadequate power for genes with short transcripts. Here we show haploinsufficiency is strongly associated with epigenomic patterns, and develop a computational method (Episcore) to predict haploinsufficiency leveraging epigenomic data from a broad range of tissue and cell types by machine learning methods. Based on data from recent exome sequencing studies on developmental disorders, Episcore achieves better performance in prioritizing likely-gene-disrupting (LGD) de novo variants than current methods. We further show that Episcore is less-biased by gene size, and complementary to mutation intolerance metrics for prioritizing LGD variants. Our approach enables new applications of epigenomic data and facilitates discovery and interpretation of novel risk variants implicated in developmental disorders. Predicting haploinsufficient genes helps to understand the genetic risk underlying developmental disorders. Here, the authors develop a Random Forest-based method that uses epigenomic data to predict haploinsufficiency, Episcore, which is complementary to methods based on mutation intolerance scores.
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Affiliation(s)
- Xinwei Han
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA.,Department of Pediatrics, Columbia University, New York, NY, 10032, USA.,Constellation Pharmaceuticals, 215 First Street, Cambridge, MA, 02142, USA
| | - Siying Chen
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA.,The Integrated Program in Cellular, Molecular and Biomedical Studies, Columbia University, New York, NY, 10032, USA
| | - Elise Flynn
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA.,The Integrated Program in Cellular, Molecular and Biomedical Studies, Columbia University, New York, NY, 10032, USA
| | - Shuang Wu
- Department of Biostatistics, Columbia University, New York, NY, 10032, USA
| | - Dana Wintner
- Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY, 14853, USA
| | - Yufeng Shen
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA. .,Department of Biomedical Informatics, Columbia University, New York, NY, 10032, USA. .,JP Sulzberger Columbia Genome Center, Columbia University, New York, NY, 10032, USA.
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567
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Larizza L, Finelli P. Developmental disorders with intellectual disability driven by chromatin dysregulation: Clinical overlaps and molecular mechanisms. Clin Genet 2018; 95:231-240. [DOI: 10.1111/cge.13365] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 03/28/2018] [Accepted: 04/14/2018] [Indexed: 12/30/2022]
Affiliation(s)
- L. Larizza
- Laboratory of Cytogenetics and Molecular Genetics; Istituto Auxologico Italiano; Milan Italy
| | - P. Finelli
- Laboratory of Cytogenetics and Molecular Genetics; Istituto Auxologico Italiano; Milan Italy
- Department of Medical Biotechnology and Translational Medicine; Università degli Studi di Milano; Milan Italy
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568
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Lombardi LM, Zaghlula M, Sztainberg Y, Baker SA, Klisch TJ, Tang AA, Huang EJ, Zoghbi HY. An RNA interference screen identifies druggable regulators of MeCP2 stability. Sci Transl Med 2018; 9:9/404/eaaf7588. [PMID: 28835516 DOI: 10.1126/scitranslmed.aaf7588] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2016] [Revised: 04/14/2016] [Accepted: 06/13/2017] [Indexed: 12/14/2022]
Abstract
Alterations in gene dosage due to copy number variation are associated with autism spectrum disorder, intellectual disability (ID), and other psychiatric disorders. The nervous system is so acutely sensitive to the dose of methyl-CpG-binding protein 2 (MeCP2) that even a twofold change in MeCP2 protein-either increased or decreased-results in distinct disorders with overlapping features including ID, autistic behavior, and severe motor dysfunction. Rett syndrome is caused by loss-of-function mutations in MECP2, whereas duplications spanning the MECP2 locus result in MECP2 duplication syndrome (MDS), which accounts for ~1% of X-linked ID. Despite evidence from mouse models that restoring MeCP2 can reverse the course of disease, there are currently no U.S. Food and Drug Administration-approved therapies available to clinically modulate MeCP2 abundance. We used a forward genetic screen against all known human kinases and phosphatases to identify druggable regulators of MeCP2 stability. Two putative modulators of MeCP2, HIPK2 (homeodomain-interacting protein kinase 2) and PP2A (protein phosphatase 2A), were validated as stabilizers of MeCP2 in vivo. Further, pharmacological inhibition of PP2A in vivo reduced MeCP2 in the nervous system and rescued both overexpression and motor abnormalities in a mouse model of MDS. Our findings reveal potential therapeutic targets for treating disorders of altered MECP2 dosage.
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Affiliation(s)
- Laura M Lombardi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.,Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX 77030, USA.,Howard Hughes Medical Institute, Baylor College of Medicine, Houston, TX 77030, USA
| | - Manar Zaghlula
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX 77030, USA.,Graduate Program in Translational Biology and Molecular Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yehezkel Sztainberg
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.,Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX 77030, USA
| | - Steven A Baker
- Department of Pathology, Stanford University School of Medicine, Palo Alto, CA 94305, USA
| | - Tiemo J Klisch
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.,Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX 77030, USA
| | - Amy A Tang
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Eric J Huang
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Huda Y Zoghbi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA. .,Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX 77030, USA.,Howard Hughes Medical Institute, Baylor College of Medicine, Houston, TX 77030, USA.,Graduate Program in Translational Biology and Molecular Medicine, Baylor College of Medicine, Houston, TX 77030, USA.,Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA.,Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA
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569
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Pascolini G, Agolini E, Majore S, Novelli A, Grammatico P, Digilio MC. Helsmoortel-Van der Aa Syndrome as emerging clinical diagnosis in intellectually disabled children with autistic traits and ocular involvement. Eur J Paediatr Neurol 2018; 22:552-557. [PMID: 29475819 DOI: 10.1016/j.ejpn.2018.01.024] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Revised: 12/25/2017] [Accepted: 01/31/2018] [Indexed: 12/19/2022]
Abstract
A recent syndromic condition with craniofacial dysmorphisms, comprising congenital ocular defect and neurodevelopmental delay named Helsmoortel-Van der Aa Syndrome (HVDAS) (OMIM#615873), has been described and molecularly defined, identifying pathogenic mutations in the ADNP gene (OMIM#611386) as biological cause. We report on two children, displaying intellectual disability (ID) and peculiar congenital eyes anomalies, both carrying a de novo nonsense mutation in the ADNP gene. The review of present and literature reports, suggests that the diagnosis of HVDAS should be suspected in patients with ID accompanied by behavioral features in the Autism Spectrum Disorder and distinctive craniofacial phenotype. Among dysmorphisms due to malformation of the periorbital region, ptosis appears to be particularly recurrent in HVDAS. Furthermore, the present patients could support the inclusion of the HVDAS associated with specific mutations clustering within a small ADNP genomic region among clinical conditions reminiscent of the blepharophimosis/mental retardation syndromes (BMRS).
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Affiliation(s)
- Giulia Pascolini
- Medical Genetics Laboratory, Department of Molecular Medicine, Sapienza University, San Camillo-Forlanini Hospital, Rome, Italy.
| | - Emanuele Agolini
- Medical Genetics Laboratory, Bambino Gesù Paediatric Hospital, IRCCS, Rome, Italy
| | - Silvia Majore
- Medical Genetics Laboratory, Department of Molecular Medicine, Sapienza University, San Camillo-Forlanini Hospital, Rome, Italy
| | - Antonio Novelli
- Medical Genetics Laboratory, Bambino Gesù Paediatric Hospital, IRCCS, Rome, Italy
| | - Paola Grammatico
- Medical Genetics Laboratory, Department of Molecular Medicine, Sapienza University, San Camillo-Forlanini Hospital, Rome, Italy
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570
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Snijders Blok L, Hiatt SM, Bowling KM, Prokop JW, Engel KL, Cochran JN, Bebin EM, Bijlsma EK, Ruivenkamp CAL, Terhal P, Simon MEH, Smith R, Hurst JA, McLaughlin H, Person R, Crunk A, Wangler MF, Streff H, Symonds JD, Zuberi SM, Elliott KS, Sanders VR, Masunga A, Hopkin RJ, Dubbs HA, Ortiz-Gonzalez XR, Pfundt R, Brunner HG, Fisher SE, Kleefstra T, Cooper GM. De novo mutations in MED13, a component of the Mediator complex, are associated with a novel neurodevelopmental disorder. Hum Genet 2018; 137:375-388. [PMID: 29740699 PMCID: PMC5973976 DOI: 10.1007/s00439-018-1887-y] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Accepted: 04/21/2018] [Indexed: 01/15/2023]
Abstract
Many genetic causes of developmental delay and/or intellectual disability (DD/ID) are extremely rare, and robust discovery of these requires both large-scale DNA sequencing and data sharing. Here we describe a GeneMatcher collaboration which led to a cohort of 13 affected individuals harboring protein-altering variants, 11 of which are de novo, in MED13; the only inherited variant was transmitted to an affected child from an affected mother. All patients had intellectual disability and/or developmental delays, including speech delays or disorders. Other features that were reported in two or more patients include autism spectrum disorder, attention deficit hyperactivity disorder, optic nerve abnormalities, Duane anomaly, hypotonia, mild congenital heart abnormalities, and dysmorphisms. Six affected individuals had mutations that are predicted to truncate the MED13 protein, six had missense mutations, and one had an in-frame-deletion of one amino acid. Out of the seven non-truncating mutations, six clustered in two specific locations of the MED13 protein: an N-terminal and C-terminal region. The four N-terminal clustering mutations affect two adjacent amino acids that are known to be involved in MED13 ubiquitination and degradation, p.Thr326 and p.Pro327. MED13 is a component of the CDK8-kinase module that can reversibly bind Mediator, a multi-protein complex that is required for Polymerase II transcription initiation. Mutations in several other genes encoding subunits of Mediator have been previously shown to associate with DD/ID, including MED13L, a paralog of MED13. Thus, our findings add MED13 to the group of CDK8-kinase module-associated disease genes.
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Affiliation(s)
- Lot Snijders Blok
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Susan M Hiatt
- HudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL, 35806, USA
| | - Kevin M Bowling
- HudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL, 35806, USA
| | - Jeremy W Prokop
- HudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL, 35806, USA
| | - Krysta L Engel
- HudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL, 35806, USA
| | - J Nicholas Cochran
- HudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL, 35806, USA
| | | | - Emilia K Bijlsma
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Claudia A L Ruivenkamp
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Paulien Terhal
- Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Marleen E H Simon
- Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Rosemarie Smith
- Division of Genetics, Department of Pediatrics, Maine Medical Center, Portland, ME, USA
| | - Jane A Hurst
- Great Ormond Street Hospital for Children, London, UK
| | | | | | - Amy Crunk
- GeneDx, 207 Perry Parkway, Gaithersburg, MD, 20877, USA
| | - Michael F Wangler
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Haley Streff
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Joseph D Symonds
- Paediatric Neurosciences Research Group, University of Glasgow and Royal Hospital for Children, Glasgow, G51 4TF, UK
| | - Sameer M Zuberi
- Paediatric Neurosciences Research Group, University of Glasgow and Royal Hospital for Children, Glasgow, G51 4TF, UK
| | | | - Victoria R Sanders
- Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | - Abigail Masunga
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Robert J Hopkin
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Holly A Dubbs
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Rolph Pfundt
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Han G Brunner
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
- Department of Clinical Genetics, GROW School for Oncology and Developmental Biology, Maastricht UMC, Maastricht, The Netherlands
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Tjitske Kleefstra
- Human Genetics Department, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
| | - Gregory M Cooper
- HudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL, 35806, USA.
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571
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Kilinc M, Creson T, Rojas C, Aceti M, Ellegood J, Vaissiere T, Lerch JP, Rumbaugh G. Species-conserved SYNGAP1 phenotypes associated with neurodevelopmental disorders. Mol Cell Neurosci 2018; 91:140-150. [PMID: 29580901 DOI: 10.1016/j.mcn.2018.03.008] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 03/16/2018] [Accepted: 03/17/2018] [Indexed: 01/22/2023] Open
Abstract
SYNGAP1 loss-of-function variants are causally associated with intellectual disability, severe epilepsy, autism spectrum disorder and schizophrenia. While there are hundreds of genetic risk factors for neurodevelopmental disorders (NDDs), this gene is somewhat unique because of the frequency and penetrance of loss-of-function variants found in patients combined with the range of brain disorders associated with SYNGAP1 pathogenicity. These clinical findings indicate that SYNGAP1 regulates fundamental neurodevelopmental processes that are necessary for brain development. Here, we describe four phenotypic domains that are controlled by Syngap1 expression across vertebrate species. Two domains, the maturation of cognitive functions and maintenance of excitatory-inhibitory balance, are defined exclusively through a review of the current literature. Two additional domains are defined by integrating the current literature with new data indicating that SYNGAP1/Syngap1 regulates innate survival behaviors and brain structure. These four phenotypic domains are commonly disrupted in NDDs, suggesting that a deeper understanding of developmental Syngap1 functions will be generalizable to other NDDs of known or unknown etiology. Therefore, we discuss the known molecular and cellular functions of Syngap1 and consider how these functions may contribute to the emergence of disease-relevant phenotypes. Finally, we identify major unexplored areas of Syngap1 neurobiology and discuss how a deeper understanding of this gene may uncover general principles of NDD pathobiology.
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Affiliation(s)
- Murat Kilinc
- Graduate School of Chemical and Biological Sciences, The Scripps Research Institute, Jupiter, FL, United States
| | - Thomas Creson
- Department of Neuroscience, The Scripps Research Institute, Jupiter, FL, United States
| | - Camilo Rojas
- Department of Neuroscience, The Scripps Research Institute, Jupiter, FL, United States
| | - Massimiliano Aceti
- Department of Neuroscience, The Scripps Research Institute, Jupiter, FL, United States
| | - Jacob Ellegood
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, ONT, Canada
| | - Thomas Vaissiere
- Department of Neuroscience, The Scripps Research Institute, Jupiter, FL, United States
| | - Jason P Lerch
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, ONT, Canada; Medical Biophysics, University of Toronto, Toronto, ONT, Canada
| | - Gavin Rumbaugh
- Graduate School of Chemical and Biological Sciences, The Scripps Research Institute, Jupiter, FL, United States; Department of Neuroscience, The Scripps Research Institute, Jupiter, FL, United States.
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572
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Leduc MS, Mcguire M, Madan-Khetarpal S, Ortiz D, Hayflick S, Keller K, Eng CM, Yang Y, Bi W. De novo apparent loss-of-function mutations in PRR12 in three patients with intellectual disability and iris abnormalities. Hum Genet 2018; 137:257-264. [PMID: 29556724 DOI: 10.1007/s00439-018-1877-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Accepted: 02/25/2018] [Indexed: 11/24/2022]
Abstract
PRR12 encodes a proline-rich protein nuclear factor suspected to be involved in neural development. Its nuclear expression in fetal brains and in the vision system supports its role in brain and eye development more specifically. However, its function and potential role in human disease has not been determined. Recently, a de novo t(10;19) (q22.3;q13.33) translocation disrupting the PRR12 gene was detected in a girl with intellectual disability and neuropsychiatric alterations. Here we report on three unrelated patients with heterozygous de novo apparent loss-of-function mutations in PRR12 detected by clinical whole exome sequencing: c.1918G>T (p.Glu640*), c.4502_4505delTGCC (p.Leu1501Argfs*146) and c.903_909dup (p.Pro304Thrfs*46). All three patients had global developmental delay, intellectual disability, eye and vision abnormalities, dysmorphic features, and neuropsychiatric problems. Eye abnormalities were consistent among the three patients and consisted of stellate iris pattern and iris coloboma. Additional variable clinical features included hypotonia, skeletal abnormalities, sleeping problems, and behavioral issues such as autism and anxiety. In summary, we propose that haploinsufficiency of PRR12 is associated with this novel multisystem neurodevelopmental disorder.
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Affiliation(s)
- Magalie S Leduc
- Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030-3411, USA.,Baylor Genetics Laboratories, Houston, TX, USA
| | - Marianne Mcguire
- Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030-3411, USA
| | | | - Damara Ortiz
- Children's Hospital of Pittsburgh of UPMC, University of Pittsburgh, Pittsburgh, PA, USA
| | - Susan Hayflick
- Department of Molecular and Medical Genetics, Oregon Health and Sciences University, Portland, OR, USA
| | - Kory Keller
- Department of Molecular and Medical Genetics, Oregon Health and Sciences University, Portland, OR, USA
| | - Christine M Eng
- Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030-3411, USA.,Baylor Genetics Laboratories, Houston, TX, USA
| | - Yaping Yang
- Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030-3411, USA.,Baylor Genetics Laboratories, Houston, TX, USA
| | - Weimin Bi
- Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030-3411, USA. .,Baylor Genetics Laboratories, Houston, TX, USA.
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573
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Mao Q, Chin R, Xie W, Deng Y, Zhang W, Xu H, Zhang RY, Shi Q, Peters EE, Gulbahce N, Li Z, Chen F, Drmanac R, Peters BA. Advanced Whole-Genome Sequencing and Analysis of Fetal Genomes from Amniotic Fluid. Clin Chem 2018; 64:715-725. [PMID: 29545257 DOI: 10.1373/clinchem.2017.281220] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Accepted: 01/12/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND Amniocentesis is a common procedure, the primary purpose of which is to collect cells from the fetus to allow testing for abnormal chromosomes, altered chromosomal copy number, or a small number of genes that have small single- to multibase defects. Here we demonstrate the feasibility of generating an accurate whole-genome sequence of a fetus from either the cellular or cell-free DNA (cfDNA) of an amniotic sample. METHODS cfDNA and DNA isolated from the cell pellet of 31 amniocenteses were sequenced to approximately 50× genome coverage by use of the Complete Genomics nanoarray platform. In a subset of the samples, long fragment read libraries were generated from DNA isolated from cells and sequenced to approximately 100× genome coverage. RESULTS Concordance of variant calls between the 2 DNA sources and with parental libraries was >96%. Two fetal genomes were found to harbor potentially detrimental variants in chromodomain helicase DNA binding protein 8 (CHD8) and LDL receptor-related protein 1 (LRP1), variations of which have been associated with autism spectrum disorder and keratosis pilaris atrophicans, respectively. We also discovered drug sensitivities and carrier information of fetuses for a variety of diseases. CONCLUSIONS We were able to elucidate the complete genome sequence of 31 fetuses from amniotic fluid and demonstrate that the cfDNA or DNA from the cell pellet can be analyzed with little difference in quality. We believe that current technologies could analyze this material in a highly accurate and complete manner and that analyses like these should be considered for addition to current amniocentesis procedures.
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Affiliation(s)
- Qing Mao
- Advanced Genomics Technology Lab, Complete Genomics, Inc., San Jose, CA
| | - Robert Chin
- Advanced Genomics Technology Lab, Complete Genomics, Inc., San Jose, CA
| | | | - Yuqing Deng
- Peking University Shenzhen Hospital, Shenzhen, China
| | | | | | - Rebecca Yu Zhang
- Advanced Genomics Technology Lab, Complete Genomics, Inc., San Jose, CA
| | | | - Erin E Peters
- Department of Anesthesiology, Keck Medical Center of the University of Southern California, Los Angeles, CA
| | - Natali Gulbahce
- Advanced Genomics Technology Lab, Complete Genomics, Inc., San Jose, CA
| | | | | | - Radoje Drmanac
- Advanced Genomics Technology Lab, Complete Genomics, Inc., San Jose, CA.,BGI-Shenzhen, Shenzhen, China
| | - Brock A Peters
- Advanced Genomics Technology Lab, Complete Genomics, Inc., San Jose, CA; .,BGI-Shenzhen, Shenzhen, China
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574
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Smol T, Petit F, Piton A, Keren B, Sanlaville D, Afenjar A, Baker S, Bedoukian EC, Bhoj EJ, Bonneau D, Boudry-Labis E, Bouquillon S, Boute-Benejean O, Caumes R, Chatron N, Colson C, Coubes C, Coutton C, Devillard F, Dieux-Coeslier A, Doco-Fenzy M, Ewans LJ, Faivre L, Fassi E, Field M, Fournier C, Francannet C, Genevieve D, Giurgea I, Goldenberg A, Green AK, Guerrot AM, Heron D, Isidor B, Keena BA, Krock BL, Kuentz P, Lapi E, Le Meur N, Lesca G, Li D, Marey I, Mignot C, Nava C, Nesbitt A, Nicolas G, Roche-Lestienne C, Roscioli T, Satre V, Santani A, Stefanova M, Steinwall Larsen S, Saugier-Veber P, Picker-Minh S, Thuillier C, Verloes A, Vieville G, Wenzel M, Willems M, Whalen S, Zarate YA, Ziegler A, Manouvrier-Hanu S, Kalscheuer VM, Gerard B, Ghoumid J. MED13L-related intellectual disability: involvement of missense variants and delineation of the phenotype. Neurogenetics 2018; 19:93-103. [PMID: 29511999 DOI: 10.1007/s10048-018-0541-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 02/17/2018] [Indexed: 12/30/2022]
Abstract
Molecular anomalies in MED13L, leading to haploinsufficiency, have been reported in patients with moderate to severe intellectual disability (ID) and distinct facial features, with or without congenital heart defects. Phenotype of the patients was referred to "MED13L haploinsufficiency syndrome." Missense variants in MED13L were already previously described to cause the MED13L-related syndrome, but only in a limited number of patients. Here we report 36 patients with MED13L molecular anomaly, recruited through an international collaboration between centers of expertise for developmental anomalies. All patients presented with intellectual disability and severe language impairment. Hypotonia, ataxia, and recognizable facial gestalt were frequent findings, but not congenital heart defects. We identified seven de novo missense variations, in addition to protein-truncating variants and intragenic deletions. Missense variants clustered in two mutation hot-spots, i.e., exons 15-17 and 25-31. We found that patients carrying missense mutations had more frequently epilepsy and showed a more severe phenotype. This study ascertains missense variations in MED13L as a cause for MED13L-related intellectual disability and improves the clinical delineation of the condition.
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Affiliation(s)
- T Smol
- Institut de Génétique Médicale, Hôpital Jeanne de Flandre, CHU Lille, Lille, France.,University of Lille, EA 7364-RADEME, Lille, France
| | - F Petit
- University of Lille, EA 7364-RADEME, Lille, France.,Service de Génétique Clinique, Hôpital Jeanne de Flandre, CHU Lille, avenue Eugène Avinée, Lille, France
| | - A Piton
- Laboratoire de diagnostic génétique, Institut de Génétique Médicale d'Alsace, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - B Keren
- Département de Génétique, Groupe Hospitalier Pitié-Salpêtrière, AP-HP, Paris, France
| | - D Sanlaville
- Service de Génétique, Hospices Civils de Lyon, Lyon, France
| | - A Afenjar
- Service de Génétique, Hôpital d'Enfants Armand-Trousseau, AP-HP, Paris, France
| | - S Baker
- Department of Pathology Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - E C Bedoukian
- Roberts Individualized Medical Genetics Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - E J Bhoj
- Department of Pathology Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - D Bonneau
- Service de Génétique, CHU d'Angers, Angers, France
| | - E Boudry-Labis
- Institut de Génétique Médicale, Hôpital Jeanne de Flandre, CHU Lille, Lille, France
| | - S Bouquillon
- Institut de Génétique Médicale, Hôpital Jeanne de Flandre, CHU Lille, Lille, France
| | - O Boute-Benejean
- University of Lille, EA 7364-RADEME, Lille, France.,Service de Génétique Clinique, Hôpital Jeanne de Flandre, CHU Lille, avenue Eugène Avinée, Lille, France
| | - R Caumes
- Service de Génétique Clinique, Hôpital Jeanne de Flandre, CHU Lille, avenue Eugène Avinée, Lille, France
| | - N Chatron
- Service de Génétique, Hospices Civils de Lyon, Lyon, France
| | - C Colson
- University of Lille, EA 7364-RADEME, Lille, France.,Service de Génétique Clinique, Hôpital Jeanne de Flandre, CHU Lille, avenue Eugène Avinée, Lille, France
| | - C Coubes
- Département de Génétique Médicale, CHU Montpellier, Montpellier, France
| | - C Coutton
- Laboratoire de Génétique Chromosomique, CHU Grenoble Alpes, Grenoble, France
| | - F Devillard
- Laboratoire de Génétique Chromosomique, CHU Grenoble Alpes, Grenoble, France
| | - A Dieux-Coeslier
- University of Lille, EA 7364-RADEME, Lille, France.,Service de Génétique Clinique, Hôpital Jeanne de Flandre, CHU Lille, avenue Eugène Avinée, Lille, France
| | - M Doco-Fenzy
- Service de Génétique, EA3801, SFR-CAP Santé, CHU de Reims, Reims, France
| | - L J Ewans
- St Vincent's Clinical School, University of New South Wales, Darlinghurst, New South Wales, Australia
| | - L Faivre
- Centre de Génétique et Centre de Référence Maladies Rares 'Anomalies du Développement, CHU Dijon, Dijon, France.,Equipe GAD, UMR INSERM 1231, Université de Bourgogne, Dijon, France
| | - E Fassi
- Division of Genetics and Genomic Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - M Field
- The Genetics of Learning Disability Service, Waratah, New South Wales, Australia
| | - C Fournier
- Laboratoire de diagnostic génétique, Institut de Génétique Médicale d'Alsace, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - C Francannet
- Service de Génétique Médicale, CHU de Clermont-Ferrand, Clermont-Ferrand, France
| | - D Genevieve
- Département de Génétique Médicale, CHU Montpellier, Montpellier, France
| | - I Giurgea
- Service de Génétique, Hôpital Trousseau, AP-HP, Paris, France
| | - A Goldenberg
- Service de Génétique et Inserm U1079, Centre Normand de Génomique Médicale et Médecine Personnalisée, CHU de Rouen, Inserm et Université de Rouen, Rouen, France
| | - A K Green
- Department of Clinical Genetics, University Hospital Linköping, Linköping, Sweden
| | - A M Guerrot
- Service de Génétique et Inserm U1079, Centre Normand de Génomique Médicale et Médecine Personnalisée, CHU de Rouen, Inserm et Université de Rouen, Rouen, France
| | - D Heron
- Département de Génétique, Groupe Hospitalier Pitié-Salpêtrière, AP-HP, Paris, France
| | - B Isidor
- Service de Génétique Médicale, Unité de Génétique Clinique, CHU de Nantes, Nantes, France
| | - B A Keena
- Clinical Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - B L Krock
- Department of Pathology Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - P Kuentz
- Equipe GAD, UMR INSERM 1231, Université de Bourgogne, Dijon, France
| | - E Lapi
- Medical Genetics Unit, Anna Meyer Children's University Hospital, Florence, Italy
| | - N Le Meur
- Service de Génétique et Inserm U1079, Centre Normand de Génomique Médicale et Médecine Personnalisée, CHU de Rouen, Inserm et Université de Rouen, Rouen, France
| | - G Lesca
- Service de Génétique, Hospices Civils de Lyon, Lyon, France
| | - D Li
- Department of Pathology Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - I Marey
- Département de Génétique, Groupe Hospitalier Pitié-Salpêtrière, AP-HP, Paris, France
| | - C Mignot
- Département de Génétique, Groupe Hospitalier Pitié-Salpêtrière, AP-HP, Paris, France
| | - C Nava
- Département de Génétique, Groupe Hospitalier Pitié-Salpêtrière, AP-HP, Paris, France
| | - A Nesbitt
- Department of Pathology Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - G Nicolas
- Service de Génétique et Inserm U1079, Centre Normand de Génomique Médicale et Médecine Personnalisée, CHU de Rouen, Inserm et Université de Rouen, Rouen, France
| | - C Roche-Lestienne
- Institut de Génétique Médicale, Hôpital Jeanne de Flandre, CHU Lille, Lille, France
| | - T Roscioli
- St Vincent's Clinical School, University of New South Wales, Darlinghurst, New South Wales, Australia
| | - V Satre
- Laboratoire de Génétique Chromosomique, CHU Grenoble Alpes, Grenoble, France
| | - A Santani
- Department of Pathology Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - M Stefanova
- Department of Clinical Genetics, University Hospital Linköping, Linköping, Sweden
| | - S Steinwall Larsen
- Department of Clinical Genetics, University Hospital Linköping, Linköping, Sweden
| | - P Saugier-Veber
- Service de Génétique et Inserm U1079, Centre Normand de Génomique Médicale et Médecine Personnalisée, CHU de Rouen, Inserm et Université de Rouen, Rouen, France
| | - S Picker-Minh
- Department of Pediatric Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - C Thuillier
- Institut de Génétique Médicale, Hôpital Jeanne de Flandre, CHU Lille, Lille, France
| | - A Verloes
- Unité Fonctionnelle de Génétique Clinique, Hôpital Robert Debré, AP-HP, Paris, France
| | - G Vieville
- Laboratoire de Génétique Chromosomique, CHU Grenoble Alpes, Grenoble, France
| | - M Wenzel
- Clinical Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - M Willems
- Département de Génétique Médicale, CHU Montpellier, Montpellier, France
| | - S Whalen
- Département de Génétique, Groupe Hospitalier Pitié-Salpêtrière, AP-HP, Paris, France
| | - Y A Zarate
- Section of Genetics and Metabolism, Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - A Ziegler
- Service de Génétique, CHU d'Angers, Angers, France
| | - S Manouvrier-Hanu
- University of Lille, EA 7364-RADEME, Lille, France.,Service de Génétique Clinique, Hôpital Jeanne de Flandre, CHU Lille, avenue Eugène Avinée, Lille, France
| | - V M Kalscheuer
- Research Group Development and Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - B Gerard
- Laboratoire de diagnostic génétique, Institut de Génétique Médicale d'Alsace, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Jamal Ghoumid
- University of Lille, EA 7364-RADEME, Lille, France. .,Service de Génétique Clinique, Hôpital Jeanne de Flandre, CHU Lille, avenue Eugène Avinée, Lille, France.
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575
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Menke LA, Gardeitchik T, Hammond P, Heimdal KR, Houge G, Hufnagel SB, Ji J, Johansson S, Kant SG, Kinning E, Leon EL, Newbury-Ecob R, Paolacci S, Pfundt R, Ragge NK, Rinne T, Ruivenkamp C, Saitta SC, Sun Y, Tartaglia M, Terhal PA, van Essen AJ, Vigeland MD, Xiao B, Hennekam RC. Further delineation of an entity caused by CREBBP and EP300 mutations but not resembling Rubinstein-Taybi syndrome. Am J Med Genet A 2018; 176:862-876. [PMID: 29460469 DOI: 10.1002/ajmg.a.38626] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 12/11/2017] [Accepted: 01/16/2018] [Indexed: 11/05/2022]
Abstract
In 2016, we described that missense variants in parts of exons 30 and 31 of CREBBP can cause a phenotype that differs from Rubinstein-Taybi syndrome (RSTS). Here we report on another 11 patients with variants in this region of CREBBP (between bp 5,128 and 5,614) and two with variants in the homologous region of EP300. None of the patients show characteristics typical for RSTS. The variants were detected by exome sequencing using a panel for intellectual disability in all but one individual, in whom Sanger sequencing was performed upon clinical recognition of the entity. The main characteristics of the patients are developmental delay (90%), autistic behavior (65%), short stature (42%), and microcephaly (43%). Medical problems include feeding problems (75%), vision (50%), and hearing (54%) impairments, recurrent upper airway infections (42%), and epilepsy (21%). Major malformations are less common except for cryptorchidism (46% of males), and cerebral anomalies (70%). Individuals with variants between bp 5,595 and 5,614 of CREBBP show a specific phenotype (ptosis, telecanthi, short and upslanted palpebral fissures, depressed nasal ridge, short nose, anteverted nares, short columella, and long philtrum). 3D face shape demonstrated resemblance to individuals with a duplication of 16p13.3 (the region that includes CREBBP), possibly indicating a gain of function. The other affected individuals show a less specific phenotype. We conclude that there is now more firm evidence that variants in these specific regions of CREBBP and EP300 result in a phenotype that differs from RSTS, and that this phenotype may be heterogeneous.
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Affiliation(s)
- Leonie A Menke
- Department of Pediatrics, Academic Medical Center, Amsterdam, The Netherlands
| | -
- Wellcome Trust Sanger Institute, Wellcome Genome, Campus, United Kingdom
| | - Thatjana Gardeitchik
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Peter Hammond
- Big Data Institute and Nuffield Department of Obstetrics and Gynaecology, University of Oxford, Oxford, United Kingdom
| | - Ketil R Heimdal
- Department of Medical genetics, Oslo University Hospital, Oslo, Norway
| | - Gunnar Houge
- Center for medical genetics and molecular medicine, Haukeland University Hospital, Bergen, Norway
| | - Sophia B Hufnagel
- Division of Genetics and Metabolism, Children's National Health System, Washington, District Of Columbia
| | - Jianling Ji
- Division of Genomic Medicine, Department of Pathology, Children's Hospital Los Angeles and Keck USC School of Medicine, Los Angeles, California
| | - Stefan Johansson
- Center for medical genetics and molecular medicine, Haukeland University Hospital, Bergen, Norway.,K.G. Jebsen Centre for Neuropsychiatric Disorders, The Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Sarina G Kant
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Esther Kinning
- West of Scotland Genetics Service, Queen Elizabeth University Hospitals, Glasgow
| | - Eyby L Leon
- Division of Genetics and Metabolism, Children's National Health System, Washington, District Of Columbia
| | - Ruth Newbury-Ecob
- Department of Clinical Genetics, University Hospitals Bristol, Bristol
| | - Stefano Paolacci
- Department of Experimental Medicine, Sapienza, University of Rome Rome, Italy
| | - Rolph Pfundt
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Tuula Rinne
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Claudia Ruivenkamp
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Sulagna C Saitta
- Division of Genomic Medicine, Department of Pathology, Children's Hospital Los Angeles and Keck USC School of Medicine, Los Angeles, California
| | - Yu Sun
- Department of Pediatric Endocrinology/Genetics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Institute for Pediatric Research, Shanghai, China
| | - Marco Tartaglia
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, Rome, Italy
| | - Paulien A Terhal
- Department of Genetics, Wilhelmina Children's Hospital, Utrecht, The Netherlands
| | - Anthony J van Essen
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
| | - Magnus D Vigeland
- Department of Medical genetics, Oslo University Hospital, Oslo, Norway
| | - Bing Xiao
- Department of Pediatric Endocrinology/Genetics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Institute for Pediatric Research, Shanghai, China
| | - Raoul C Hennekam
- Department of Pediatrics, Academic Medical Center, Amsterdam, The Netherlands
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576
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Exome sequencing has higher diagnostic yield compared to simulated disease-specific panels in children with suspected monogenic disorders. Eur J Hum Genet 2018; 26:644-651. [PMID: 29453417 DOI: 10.1038/s41431-018-0099-1] [Citation(s) in RCA: 90] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 12/11/2017] [Accepted: 01/11/2018] [Indexed: 01/13/2023] Open
Abstract
As test costs decline, whole-exome sequencing (WES) has become increasingly used for clinical diagnosis, and now represents the primary alternative to gene panel testing for patients with a suspected genetic disorder. We sought to compare the diagnostic yield of singleton-WES with simulated application of commercial gene panels in children suspected of having a genetically heterogeneous condition. Recruitment, singleton-WES and phenotype-driven variant analysis was completed for 145 paediatric patients. At recruitment, clinicians were required to propose commercial gene panel tests as an alternative to WES and nominate a phenotype-driven candidate gene list. In WES-diagnosed children, three commercial options for each proposed panel were identified and evaluated for hypothetical diagnostic yield assuming 100% analytical sensitivity and specificity. We compared the price of WES with the least costly panel in WES-diagnosed children. In WES-undiagnosed children, we evaluated the exonic coverage of their phenotype-driven gene list using aggregate data. WES diagnoses were made in genes not included in at least one-of-three commercial panels in 42% of cases. Had a panel been selected instead, 23% of WES-diagnosed children would not have been diagnosed. In 26% of cases, the least costly panel option would have been more expensive than WES. Evaluation of WES coverage found that at the most stringent level of 20× coverage, the likelihood of missing a clinically relevant variant in a candidate gene list was maximally 8%. The broader coverage of WES makes it a superior alternative to gene panel testing at similar financial cost for children with suspected complex monogenic phenotypes.
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577
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Chiu ATG, Pei SLC, Mak CCY, Leung GKC, Yu MHC, Lee SL, Vreeburg M, Pfundt R, van der Burgt I, Kleefstra T, Frederic TMT, Nambot S, Faivre L, Bruel AL, Rossi M, Isidor B, Küry S, Cogne B, Besnard T, Willems M, Reijnders MRF, Chung BHY. Okur-Chung neurodevelopmental syndrome: Eight additional cases with implications on phenotype and genotype expansion. Clin Genet 2018; 93:880-890. [PMID: 29240241 DOI: 10.1111/cge.13196] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 11/20/2017] [Accepted: 12/10/2017] [Indexed: 12/27/2022]
Abstract
Okur-Chung syndrome is a neurodevelopmental condition attributed to germline CSNK2A1 pathogenic missense variants. We present 8 unreported subjects with the above syndrome, who have recognizable dysmorphism, varying degrees of developmental delay and multisystem involvement. Together with 6 previously reported cases, we present a case series of 7 female and 7 male subjects, highlighting the recognizable facial features of the syndrome (microcephaly, hypertelorism, epicanthic fold, ptosis, arched eyebrows, low set ears, ear fold abnormality, broad nasal bridge and round face) as well as frequently occurring clinical features including neurodevelopmental delay (93%), gastrointestinal (57%), musculoskeletal (57%) and immunological (43%) abnormalities. The variants reported in this study are evolutionary conserved and absent in the normal population. We observed that the CSNK2A1 gene is relatively intolerant to missense genetic changes, and most variants are within the protein kinase domain. All except 1 variant reported in this cohort are spatially located on the binding pocket of the holoenzyme. We further provide key recommendations on the management of Okur-Chung syndrome. To conclude, this is the second case series on Okur-Chung syndrome, and an in-depth review of the phenotypic features and genomic findings of the condition with suggestions on clinical management.
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Affiliation(s)
- A T G Chiu
- Department of Paediatrics and Adolescent Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, Hong Kong.,Department of Paediatrics, Duchess of Kent Children's Hospital, Hong Kong, Hong Kong
| | - S L C Pei
- Department of Paediatrics and Adolescent Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, Hong Kong
| | - C C Y Mak
- Department of Paediatrics and Adolescent Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, Hong Kong
| | - G K C Leung
- Department of Paediatrics and Adolescent Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, Hong Kong
| | - M H C Yu
- Department of Paediatrics and Adolescent Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, Hong Kong
| | - S L Lee
- Department of Paediatrics and Adolescent Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, Hong Kong.,Department of Paediatrics, Duchess of Kent Children's Hospital, Hong Kong, Hong Kong
| | - M Vreeburg
- Department of Clinical Genetics and School for Oncology & Developmental Biology (GROW), Maastricht University Medical Center, Maastricht, the Netherlands
| | - R Pfundt
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - I van der Burgt
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - T Kleefstra
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - T M-T Frederic
- Centre de Génétique et Centre de référence, Anomalies du Développement et Syndromes Malformatifs, Hôpital d'Enfants, Centre Hospitalier Universitaire de Dijon, Dijon, France.,Laboratoire de Génétique Moléculaire, Plateau Technique de Biologie, Centre Hospitalier Universitaire de Dijon, Dijon, France.,INSERM UMR 1231 GAD, Génétique des Anomalies du Développement, Dijon, France
| | - S Nambot
- Centre de Génétique et Centre de référence, Anomalies du Développement et Syndromes Malformatifs, Hôpital d'Enfants, Centre Hospitalier Universitaire de Dijon, Dijon, France.,Laboratoire de Génétique Moléculaire, Plateau Technique de Biologie, Centre Hospitalier Universitaire de Dijon, Dijon, France
| | - L Faivre
- Centre de Génétique et Centre de référence, Anomalies du Développement et Syndromes Malformatifs, Hôpital d'Enfants, Centre Hospitalier Universitaire de Dijon, Dijon, France
| | - A-L Bruel
- INSERM UMR 1231 GAD, Génétique des Anomalies du Développement, Dijon, France
| | - M Rossi
- Service de Génétique, Centre de Référence Anomalies du Développement, Hospices Civils de Lyon, Lyon, France.,GENDEV Team, Centre de Recherche en Neurosciences de Lyon, INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, Lyon, France
| | - B Isidor
- Service de Génétique Médicale, CHU Nantes, Nantes, France.,INSERM, UMR-S 957, Nantes, France
| | - S Küry
- Service de Génétique Médicale, CHU Nantes, Nantes, France
| | - B Cogne
- Service de Génétique Médicale, CHU Nantes, Nantes, France
| | - T Besnard
- Service de Génétique Médicale, CHU Nantes, Nantes, France
| | - M Willems
- Département de Génétique Médicale, Maladies Rares et Médecine Personnalisée, Centre de Référence Anomalies du Développement et Syndromes Malformatifs, Plateforme Recherche de Microremaniements Chromosomiques, Hôpital Arnaud de Villeneuve, CHU de Montpellier, Faculté de Médecine Montpellier-Nîmes, Université de Montpellier, Montpellier, France
| | - M R F Reijnders
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - B H Y Chung
- Department of Paediatrics and Adolescent Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, Hong Kong.,Department of Paediatrics, Duchess of Kent Children's Hospital, Hong Kong, Hong Kong
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578
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Gao Z, Xie H, Jiang Q, Wu N, Chen X, Chen Q. Identification of two novel null variants in CLN8 by targeted next-generation sequencing: first report of a Chinese patient with neuronal ceroid lipofuscinosis due to CLN8 variants. BMC MEDICAL GENETICS 2018; 19:21. [PMID: 29422019 PMCID: PMC5806251 DOI: 10.1186/s12881-018-0535-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Accepted: 01/24/2018] [Indexed: 01/17/2023]
Abstract
BACKGROUND Neuronal ceroid lipofuscinoses (NCLs) are one of the most frequent childhood-onset neurodegenerative pathologies characterized by seizures, progressive cognitive decline, motor impairment and loss of vision. For the past two decades, more than 430 variants in 13 candidate genes have been identified in the affected patients. Most of the variants were almost exclusively reported in Western patients, and very little clinical and genetic information was available for Chinese patients. CASE PRESENTATION We report a Chinese boy whose clinical phenotypes were suspected to be NCL, including intractable epilepsy, cognitive and motor decline and progressive vision loss. Using targeted next-generation sequencing, two novel null variants in CLN8 (c.298C > T, p.Gln100Ter; c.551G > A, p.Trp184Ter) were detected in this patient in trans model. These two variants were interpreted as pathogenic according to the variant guidelines of the American College of Medical Genetics and Genomics. CONCLUSIONS This is the first case report of NCL due to CLN8 variants in China. Our findings expand the variant diversity of CLN8 and demonstrate the tremendous diagnosis value of targeted next-generation sequencing for pediatric NCLs.
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Affiliation(s)
- Zhijie Gao
- Department of Neurology, Affiliated Children's Hospital of Capital Institute of Pediatrics, No. 2, Yabao Road, Chaoyang District, Beijing, 100020, China
| | - Hua Xie
- Department of Medical Genetics, Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, 100020, China
| | - Qian Jiang
- Department of Medical Genetics, Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, 100020, China
| | - Nan Wu
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, 100020, China
| | - Xiaoli Chen
- Department of Medical Genetics, Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, 100020, China.
| | - Qian Chen
- Department of Neurology, Affiliated Children's Hospital of Capital Institute of Pediatrics, No. 2, Yabao Road, Chaoyang District, Beijing, 100020, China.
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579
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Cosemans N, Vandenhove L, Maljaars J, Van Esch H, Devriendt K, Baldwin A, Fryns JP, Noens I, Peeters H. ZNF462 and KLF12 are disrupted by a de novo translocation in a patient with syndromic intellectual disability and autism spectrum disorder. Eur J Med Genet 2018; 61:376-383. [PMID: 29427787 DOI: 10.1016/j.ejmg.2018.02.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 12/21/2017] [Accepted: 02/03/2018] [Indexed: 01/11/2023]
Abstract
We describe a patient with a de novo balanced translocation 46,XY,t(9; 13)(q31.2; q22.1) and autism spectrum disorder, intellectual disability, a metopic craniosynostosis, a corpus callosum dysgenesis and dysmorphic facial features, most notably ptosis. Breakpoint mapping was performed by means of targeted locus amplification (TLA) and sequencing, because conventional breakpoint mapping by means of fluorescent in situ hybridization and long-range PCR was hampered by a complex submicroscopic rearrangement. The translocation breakpoints directly affected the genes KLF12 (chromosome 13) and ZNF462 (chromosome 9). The latter gene was disrupted by multiple breakpoints, resulting in the loss of three fragments and a rearrangement of the remaining fragments. Therefore, haploinsufficiency of ZNF462 was assumed. Loss-of-function variants in ZNF462 have recently been published by Weiss et al. (2017) in a series of eight patients from six independent families delineating the ZNF462-associated phenotype. The latter closely matches with the clinical features of the current translocation patient. Besides, no direct evidence for an association of KLF12 to the phenotypic features was found. Therefore, we conclude that the phenotype of the current patient is mainly caused by the disruption of ZNF462. We present clinical data from birth to adulthood and data on the cognitive and behavioral profile of the current patient which may add to a more precise counseling and surveillance of development in young children with ZNF462 mutations. In addition, the current case illustrates that TLA is an efficient method for determining complex chromosomal breakpoints.
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Affiliation(s)
- Nele Cosemans
- Center for Human Genetics, University Hospital Leuven, KU Leuven, Leuven, Belgium; Leuven Autism Research (LAuRes), Leuven, Belgium
| | - Laura Vandenhove
- Center for Human Genetics, University Hospital Leuven, KU Leuven, Leuven, Belgium; Leuven Autism Research (LAuRes), Leuven, Belgium
| | - Jarymke Maljaars
- Parenting and Special Education Research Unit, KU Leuven, Leuven, Belgium; Leuven Autism Research (LAuRes), Leuven, Belgium
| | - Hilde Van Esch
- Center for Human Genetics, University Hospital Leuven, KU Leuven, Leuven, Belgium
| | - Koenraad Devriendt
- Center for Human Genetics, University Hospital Leuven, KU Leuven, Leuven, Belgium
| | | | - Jean-Pierre Fryns
- Center for Human Genetics, University Hospital Leuven, KU Leuven, Leuven, Belgium
| | - Ilse Noens
- Parenting and Special Education Research Unit, KU Leuven, Leuven, Belgium; Leuven Autism Research (LAuRes), Leuven, Belgium
| | - Hilde Peeters
- Center for Human Genetics, University Hospital Leuven, KU Leuven, Leuven, Belgium; Leuven Autism Research (LAuRes), Leuven, Belgium.
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580
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Abstract
The majority of rare diseases affect children, most of whom have an underlying genetic cause for their condition. However, making a molecular diagnosis with current technologies and knowledge is often still a challenge. Paediatric genomics is an immature but rapidly evolving field that tackles this issue by incorporating next-generation sequencing technologies, especially whole-exome sequencing and whole-genome sequencing, into research and clinical workflows. This complex multidisciplinary approach, coupled with the increasing availability of population genetic variation data, has already resulted in an increased discovery rate of causative genes and in improved diagnosis of rare paediatric disease. Importantly, for affected families, a better understanding of the genetic basis of rare disease translates to more accurate prognosis, management, surveillance and genetic advice; stimulates research into new therapies; and enables provision of better support.
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581
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Weldon M, Kilinc M, Lloyd Holder J, Rumbaugh G. The first international conference on SYNGAP1-related brain disorders: a stakeholder meeting of families, researchers, clinicians, and regulators. J Neurodev Disord 2018; 10:6. [PMID: 29402231 PMCID: PMC5800089 DOI: 10.1186/s11689-018-9225-1] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Accepted: 01/25/2018] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Pathologic mutations in SYNGAP1 cause a genetically defined form of intellectual disability (ID) with comorbid epilepsy and autistic features. While only recently discovered, pathogenicity of this gene is a relatively frequent genetic cause of classically undefined developmental delay that progresses to ID with commonly occurring comorbidities. MAIN BODY A meeting of 150 people was held that included affected individuals and their caregivers, clinicians that treat this and related brain disorders, neuroscientists that study SYNGAP1 biology or the function of related genes, and representatives from government agencies that fund science and approve new medical treatments. The meeting focused on developing a consensus among all stakeholders as to how best to achieve a more fundamental and profound understanding of SYNGAP1 biology and its role in human disease. SHORT CONCLUSION From all of these proceedings, several areas of consensus emerged. The clinicians and geneticists agreed that the prevalence of epilepsy and sensory processing impairments in SYNGAP1-related brain disorders approached 100%. The neurobiologists agreed that more basic research is needed to better understand the molecular and cellular functions of the Syngap1 gene, which will lead to targets for therapeutic intervention. Finally, everyone agreed that there is a pressing need to form a robust patient registry as an initial step toward a prospective natural history study of patients with pathogenic SYNGAP1 variants.
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Affiliation(s)
- Monica Weldon
- Bridge-the-GAP-SYNGAP Education and Research Foundation (ERF), Cypress, TX, USA
| | - Murat Kilinc
- Graduate School of Chemical and Biological Sciences, The Scripps Research Institute, Jupiter, FL, USA
| | - J Lloyd Holder
- Jan and Dan Duncan Neurological Research Institute and Department of Pediatrics, Division of Neurology and Developmental Neuroscience, Baylor College of Medicine, 1250 Moursund St. Suite 1150, Houston, TX, 77030, USA.
| | - Gavin Rumbaugh
- Graduate School of Chemical and Biological Sciences, The Scripps Research Institute, Jupiter, FL, USA. .,Department of Neuroscience, The Scripps Research Institute, 130 Scripps Way, #3B3, Jupiter, FL, 33458, USA.
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582
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Raveau M, Shimohata A, Amano K, Miyamoto H, Yamakawa K. DYRK1A-haploinsufficiency in mice causes autistic-like features and febrile seizures. Neurobiol Dis 2018; 110:180-191. [PMID: 29223763 DOI: 10.1016/j.nbd.2017.12.003] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Revised: 11/28/2017] [Accepted: 12/05/2017] [Indexed: 11/28/2022] Open
Abstract
Mutations and copy number variants affecting DYRK1A gene encoding the dual-specificity tyrosine phosphorylation-regulated kinase 1A are among the most frequent genetic causes of neurodevelopmental disorders including autism spectrum disorder (ASD) associated with microcephaly, febrile seizures and severe speech acquisition delay. Here we developed a mouse model harboring a frame-shift mutation in Dyrk1a resulting in a protein truncation and elimination of its kinase activity site. Dyrk1a+/- mice showed significant impairments in cognition and cognitive flexibility, communicative ultrasonic vocalizations, and social contacts. Susceptibility to hyperthermia-induced seizures was also significantly increased in these mice. The truncation leading to haploinsufficiency of DYRK1A in mice thus recapitulates the syndromic phenotypes observed in human patients and constitutes a useful model for further investigations of the mechanisms leading to ASD, speech delay and febrile seizures.
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Affiliation(s)
- Matthieu Raveau
- Laboratory for Neurogenetics, RIKEN Brain Science Institute, Saitama 351-0198, Japan
| | - Atsushi Shimohata
- Laboratory for Neurogenetics, RIKEN Brain Science Institute, Saitama 351-0198, Japan
| | - Kenji Amano
- Laboratory for Neurogenetics, RIKEN Brain Science Institute, Saitama 351-0198, Japan
| | - Hiroyuki Miyamoto
- Laboratory for Neurogenetics, RIKEN Brain Science Institute, Saitama 351-0198, Japan
| | - Kazuhiro Yamakawa
- Laboratory for Neurogenetics, RIKEN Brain Science Institute, Saitama 351-0198, Japan.
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583
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Mignot C, Moutard ML, Rastetter A, Boutaud L, Heide S, Billette T, Doummar D, Garel C, Afenjar A, Jacquette A, Lacombe D, Verloes A, Bole-Feysot C, Nitschké P, Masson C, Faudet A, Lesne F, Bienvenu T, Alby C, Attié-Bitach T, Depienne C, Nava C, Héron D. ARID1B mutations are the major genetic cause of corpus callosum anomalies in patients with intellectual disability. Brain 2018; 139:e64. [PMID: 27474218 DOI: 10.1093/brain/aww181] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Cyril Mignot
- Assistance Publique-Hôpitaux de Paris, Département de Génétique and Centre de Référence Déficiences Intellectuelles de Causes Rares and GRC UPMC "Déficiences Intellectuelles et Autisme", Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Marie-Laure Moutard
- Assistance Publique-Hôpitaux de Paris, Service de Neuropédiatrie, Hôpital Armand Trousseau, Paris, France
| | - Agnès Rastetter
- Sorbonne Universités, UPMC Univ Paris 06, UMR S 1127, and Inserm U 1127, and CNRS UMR 7225, and ICM, F-75013 Paris, France
| | - Lucile Boutaud
- INSERM U1163, Laboratory of Embryology and Genetics of Congenital Malformations, Paris Descartes University, Sorbonne Paris Cite and Imagine Institute, 75015 Paris, France.,Département de Génétique, Hôpital Necker - Enfants Malades, Assistance Publique - Hôpitaux de Paris, 75015 Paris, France
| | - Solveig Heide
- Assistance Publique-Hôpitaux de Paris, Département de Génétique and Centre de Référence Déficiences Intellectuelles de Causes Rares and GRC UPMC "Déficiences Intellectuelles et Autisme", Groupe Hospitalier Pitié-Salpêtrière, Paris, France.,Sorbonne Universités, UPMC Univ Paris 06, UMR S 1127, and Inserm U 1127, and CNRS UMR 7225, and ICM, F-75013 Paris, France
| | - Thierry Billette
- Assistance Publique-Hôpitaux de Paris, Service de Neuropédiatrie, Hôpital Armand Trousseau, Paris, France
| | - Diane Doummar
- Assistance Publique-Hôpitaux de Paris, Service de Neuropédiatrie, Hôpital Armand Trousseau, Paris, France
| | - Catherine Garel
- Assistance Publique-Hôpitaux de Paris, Service de Radiologie, Hôpital Armand Trousseau, Paris, France
| | - Alexandra Afenjar
- Assistance Publique-Hôpitaux de Paris, Département de Génétique and Centre de Référence Déficiences Intellectuelles de Causes Rares and GRC UPMC "Déficiences Intellectuelles et Autisme", Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Aurélia Jacquette
- Assistance Publique-Hôpitaux de Paris, Département de Génétique and Centre de Référence Déficiences Intellectuelles de Causes Rares and GRC UPMC "Déficiences Intellectuelles et Autisme", Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Didier Lacombe
- CHU de Bordeaux, Service de Génétique Médicale, Centre de Référence Anomalies du développement et syndromes malformatifs, Bordeaux, France.,INSERM U1211, Université de Bordeaux, Bordeaux, France
| | - Alain Verloes
- Department of Genetics, Assistance Publique-Hôpitaux de Paris (AP-HP) - Robert Debré University Hospital, Paris, France
| | - Christine Bole-Feysot
- Plateforme Génomique, INSERM U1163, Université Paris Descartes-Sorbonne Paris Cité, Institut Imagine, Paris, France
| | - Patrick Nitschké
- Bioinformatic Platform, INSERM UMR 1163, Paris Descartes-Sorbonne Paris Cité University, Imagine Institute, Necker-Enfants Malades Hospital, Paris, France
| | - Cécile Masson
- Bioinformatic Platform, INSERM UMR 1163, Paris Descartes-Sorbonne Paris Cité University, Imagine Institute, Necker-Enfants Malades Hospital, Paris, France
| | - Anne Faudet
- Assistance Publique-Hôpitaux de Paris, Département de Génétique and Centre de Référence Déficiences Intellectuelles de Causes Rares and GRC UPMC "Déficiences Intellectuelles et Autisme", Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Fabien Lesne
- Assistance Publique-Hôpitaux de Paris, Département de Génétique and Centre de Référence Déficiences Intellectuelles de Causes Rares and GRC UPMC "Déficiences Intellectuelles et Autisme", Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Thierry Bienvenu
- Inserm, U1016, Institut Cochin, Paris, France.,CNRS, UMR8104, Paris, France.,Université Paris Descartes, Sorbonne Paris Cité, Paris, France.,Assistance Publique-Hôpitaux de Paris, Groupe Universitaire Paris Centre, Site Cochin, Laboratoire de Biochimie et Génétique Moléculaire, Paris, France
| | - Caroline Alby
- INSERM U1163, Laboratory of Embryology and Genetics of Congenital Malformations, Paris Descartes University, Sorbonne Paris Cite and Imagine Institute, 75015 Paris, France.,Département de Génétique, Hôpital Necker - Enfants Malades, Assistance Publique - Hôpitaux de Paris, 75015 Paris, France
| | - Tania Attié-Bitach
- INSERM U1163, Laboratory of Embryology and Genetics of Congenital Malformations, Paris Descartes University, Sorbonne Paris Cite and Imagine Institute, 75015 Paris, France.,Département de Génétique, Hôpital Necker - Enfants Malades, Assistance Publique - Hôpitaux de Paris, 75015 Paris, France
| | - Christel Depienne
- Département de Médicine translationnelle et Neurogénétique, IGBMC, CNRS UMR 7104/INSERM U964/Université de Strasbourg, 67400 Illkirch, France.,Laboratoire de cytogénétique, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Caroline Nava
- Assistance Publique-Hôpitaux de Paris, Département de Génétique and Centre de Référence Déficiences Intellectuelles de Causes Rares and GRC UPMC "Déficiences Intellectuelles et Autisme", Groupe Hospitalier Pitié-Salpêtrière, Paris, France.,Sorbonne Universités, UPMC Univ Paris 06, UMR S 1127, and Inserm U 1127, and CNRS UMR 7225, and ICM, F-75013 Paris, France
| | - Delphine Héron
- Assistance Publique-Hôpitaux de Paris, Département de Génétique and Centre de Référence Déficiences Intellectuelles de Causes Rares and GRC UPMC "Déficiences Intellectuelles et Autisme", Groupe Hospitalier Pitié-Salpêtrière, Paris, France
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584
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Abstract
RING1 is an E3-ubiquitin ligase that is involved in epigenetic control of transcription during development. It is a component of the polycomb repressive complex 1, and its role in that complex is to ubiquitylate histone H2A. In a 13-year-old girl with syndromic neurodevelopmental disabilities, we identified a de novo mutation, RING1 p.R95Q, which alters a conserved arginine residue in the catalytic RING domain. In vitro assays demonstrated that the mutant RING1 retains capacity to catalyze ubiquitin chain formation, but is defective in its ability to ubiquitylate histone H2A in nucleosomes. Consistent with this in vitro effect, cells of the patient showed decreased monoubiquitylation of histone H2A. We modeled the mutant RING1 in Caenorhabditis elegans by editing the comparable amino acid change into spat-3, the suggested RING1 ortholog. Animals with either the missense mutation or complete knockout of spat-3 were defective in monoubiquitylation of histone H2A and had defects in neuronal migration and axon guidance. Relevant to our patient, animals heterozygous for either the missense or knockout allele also showed neuronal defects. Our results support three conclusions: mutation of RING1 is the likely cause of a human neurodevelopmental syndrome, mutation of RING1 can disrupt histone H2A ubiquitylation without disrupting RING1 catalytic activity, and the comparable mutation in C. elegans spat-3 both recapitulates the effects on histone H2A ubiquitylation and leads to neurodevelopmental abnormalities. This role for RING1 adds to our understanding of the importance of aberrant epigenetic effects as causes of human neurodevelopmental disorders.
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585
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Owen CI, Bowden R, Parker MJ, Patterson J, Patterson J, Price S, Sarkar A, Castle B, Deshpande C, Splitt M, Ghali N, Dean J, Green AJ, Crosby C, Tatton-Brown K. Extending the phenotype associated with the CSNK2A1-related Okur-Chung syndrome-A clinical study of 11 individuals. Am J Med Genet A 2018; 176:1108-1114. [PMID: 29383814 DOI: 10.1002/ajmg.a.38610] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Revised: 11/22/2017] [Accepted: 12/16/2017] [Indexed: 02/03/2023]
Abstract
Variants in the Protein Kinase CK2 alpha subunit, encoding the CSNK2A1 gene, have previously been reported in children with an intellectual disability and dysmorphic facial features syndrome: now termed the Okur-Chung neurodevelopmental syndrome. More recently, through trio-based exome sequencing undertaken by the Deciphering Developmental Disorders Study (DDD study), a further 11 children with de novo CSNK2A1 variants have been identified. We have undertaken detailed phenotyping of these patients. Consistent with previously reported patients, patients in this series had apparent intellectual disability, swallowing difficulties, and hypotonia. While there are some shared facial characteristics, the gestalt is neither consistent nor readily recognized. Congenital heart abnormalities were identified in nearly 30% of the patients, representing a newly recognized CSNK2A1 clinical association. Based upon the clinical findings from this study and the previously reported patients, we suggest an initial approach to the management of patients with this recently described intellectual disability syndrome.
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Affiliation(s)
- Ceris I Owen
- Medical Research Council, London Institute for Medical Sciences, Hammersmith Hospital, London, UK
| | - Ramsay Bowden
- East Anglian Medical Genetics Service, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Michael J Parker
- Sheffield Children's NHS Foundation Trust, Sheffield Clinical Genetics Service, Sheffield, South Yorkshire, UK
| | - Jo Patterson
- Sheffield Children's NHS Foundation Trust, Sheffield Clinical Genetics Service, Sheffield, South Yorkshire, UK
| | - Joan Patterson
- East Anglian Medical Genetics Service, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Sue Price
- Department of Clinical Genetics, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Ajoy Sarkar
- Department of Clinical Genetics, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Bruce Castle
- Peninsula Genetics Service, Royal Devon and Exeter Hospitals NHS Trust, Exeter, UK
| | - Charulatha Deshpande
- South East Thames Regional Genetics Unit, Guys and St Thomas NHS Trust, London, UK
| | - Miranda Splitt
- Northern Genetics Service, Newcastle Upon Tyne Hospital NHS Foundation Trust, Newcastle, UK
| | - Neeti Ghali
- North West Thames Regional Genetics Service, North West London Healthcare NHS Trust, Harrow, UK
| | - John Dean
- Department of Clinical Genetics, NHS Grampian, Aberdeen, UK
| | - Andrew J Green
- National Centre for Medical Genetics, Our Lady's Hospital, Dublin, Republic of Ireland
| | - Charlene Crosby
- South West Thames Regional Genetics Service, St George's University Hospitals NHS Foundation Trust, London, UK
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- Deciphering Developmental Disorders Study, Wellcome Trust Sanger Institute, Cambridge, UK
| | - Katrina Tatton-Brown
- South West Thames Regional Genetics Service, St George's University Hospitals NHS Foundation Trust, London, UK.,St George's University of London, London, UK
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586
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Toufaily MH, Westgate MN, Nasri H, Holmes LB. Malformations among 289,365 Births Attributed to Mutations with Autosomal Dominant and Recessive and X-Linked Inheritance. Birth Defects Res 2018; 110:92-97. [PMID: 29377642 DOI: 10.1002/bdr2.1101] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Accepted: 07/07/2017] [Indexed: 12/21/2022]
Abstract
BACKGROUND The number of malformations attributed to mutations with autosomal or X-linked patterns of inheritance has increased steadily since the cataloging began in the 1960s. These diagnoses have been based primarily on the pattern of phenotypic features among close relatives. A malformations surveillance program conducted in consecutive pregnancies can identify both known and "new" hereditary disorders. METHODS The Active Malformations Surveillance Program was carried out among 289,365 births over 41 years (1972-2012) at Brigham and Women's Hospital in Boston. The findings recorded by examining pediatricians and all consultants were reviewed by study clinicians to establish the most likely diagnoses. The findings in laboratory testing in the newborn period were reviewed, as well. RESULTS One hundred ninety-six (0.06%) infants among 289,365 births had a malformation or malformation syndrome that was attributed to Mendelian inheritance. A total of 133 (68%) of the hereditary malformations were attributed to autosomal dominant inheritance, with 94 (71%) attributed to apparent spontaneous mutations. Forty-six (23%) were attributed to mutations with autosomal recessive inheritance, 17 associated with consanguinity. Seventeen (9%) were attributed to X-linked inheritance. Fifteen novel familial phenotypes were identified. The family histories showed that most (53 to 71%) of the affected infants were born, as a surprise, to healthy, unaffected parents. CONCLUSION It is important for clinicians to discuss with surprised healthy parents how they can have an infant with an hereditary condition. Future studies, using DNA samples from consecutive populations of infants with malformations and whole genome sequencing, will identify many more mutations in loci associated with mendelizing phenotypes. Birth Defects Research 110:92-97, 2018.© 2018 Wiley Periodicals, Inc.
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Affiliation(s)
- M Hassan Toufaily
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Boston.,Medical Genetics Unit, MassGeneral Hospital for Children, Boston
| | - Marie-Noel Westgate
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Boston.,Medical Genetics Unit, MassGeneral Hospital for Children, Boston
| | - Hanah Nasri
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Boston.,Medical Genetics Unit, MassGeneral Hospital for Children, Boston
| | - Lewis B Holmes
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Boston.,Medical Genetics Unit, MassGeneral Hospital for Children, Boston.,Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
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587
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Making new genetic diagnoses with old data: iterative reanalysis and reporting from genome-wide data in 1,133 families with developmental disorders. Genet Med 2018; 20:1216-1223. [PMID: 29323667 PMCID: PMC5912505 DOI: 10.1038/gim.2017.246] [Citation(s) in RCA: 236] [Impact Index Per Article: 33.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Accepted: 11/20/2017] [Indexed: 12/15/2022] Open
Abstract
Purpose Given the rapid pace of discovery in rare disease genomics, it is likely that improvements in diagnostic yield can be made by systematically reanalysing previously generated genomic sequence data in light of new knowledge. Methods We tested this hypothesis in the UK-wide Deciphering Developmental Disorders Study, where in 2014 we reported a diagnostic yield of 27% through whole exome sequencing of 1133 children with severe developmental disorders and their parents. We reanalysed existing data using improved variant calling methodologies, novel variant detection algorithms, updated variant annotation, evidence-based filtering strategies, and newly discovered disease-associated genes. Results We are now able to diagnose an additional 182 individuals, taking our overall diagnostic yield to 454/1133 (40%), and another 43 (4%) have a finding of uncertain clinical significance. The majority of these new diagnoses are due to novel developmental disorder-associated genes discovered since our original publication. Conclusion This study highlights the importance of coupling large-scale research with clinical practice, and of discussing the possibility of iterative reanalysis and recontact with patients and health professionals at an early stage. We estimate that implementing parent-offspring whole exome sequencing as a first line diagnostic test for developmental disorders would diagnose >50% of patients.
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588
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Gueneau L, Fish RJ, Shamseldin HE, Voisin N, Tran Mau-Them F, Preiksaitiene E, Monroe GR, Lai A, Putoux A, Allias F, Ambusaidi Q, Ambrozaityte L, Cimbalistienė L, Delafontaine J, Guex N, Hashem M, Kurdi W, Jamuar SS, Ying LJ, Bonnard C, Pippucci T, Pradervand S, Roechert B, van Hasselt PM, Wiederkehr M, Wright CF, Xenarios I, van Haaften G, Shaw-Smith C, Schindewolf EM, Neerman-Arbez M, Sanlaville D, Lesca G, Guibaud L, Reversade B, Chelly J, Kučinskas V, Alkuraya FS, Reymond A, Reymond A. KIAA1109 Variants Are Associated with a Severe Disorder of Brain Development and Arthrogryposis. Am J Hum Genet 2018; 102:116-132. [PMID: 29290337 PMCID: PMC5777449 DOI: 10.1016/j.ajhg.2017.12.002] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Accepted: 12/04/2017] [Indexed: 11/30/2022] Open
Abstract
Whole-exome and targeted sequencing of 13 individuals from 10 unrelated families with overlapping clinical manifestations identified loss-of-function and missense variants in KIAA1109 allowing delineation of an autosomal-recessive multi-system syndrome, which we suggest to name Alkuraya-Kučinskas syndrome (MIM 617822). Shared phenotypic features representing the cardinal characteristics of this syndrome combine brain atrophy with clubfoot and arthrogryposis. Affected individuals present with cerebral parenchymal underdevelopment, ranging from major cerebral parenchymal thinning with lissencephalic aspect to moderate parenchymal rarefaction, severe to mild ventriculomegaly, cerebellar hypoplasia with brainstem dysgenesis, and cardiac and ophthalmologic anomalies, such as microphthalmia and cataract. Severe loss-of-function cases were incompatible with life, whereas those individuals with milder missense variants presented with severe global developmental delay, syndactyly of 2nd and 3rd toes, and severe muscle hypotonia resulting in incapacity to stand without support. Consistent with a causative role for KIAA1109 loss-of-function/hypomorphic variants in this syndrome, knockdowns of the zebrafish orthologous gene resulted in embryos with hydrocephaly and abnormally curved notochords and overall body shape, whereas published knockouts of the fruit fly and mouse orthologous genes resulted in lethality or severe neurological defects reminiscent of the probands’ features.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland.
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589
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Jansen S, Hoischen A, Coe BP, Carvill GL, Van Esch H, Bosch DGM, Andersen UA, Baker C, Bauters M, Bernier RA, van Bon BW, Claahsen-van der Grinten HL, Gecz J, Gilissen C, Grillo L, Hackett A, Kleefstra T, Koolen D, Kvarnung M, Larsen MJ, Marcelis C, McKenzie F, Monin ML, Nava C, Schuurs-Hoeijmakers JH, Pfundt R, Steehouwer M, Stevens SJC, Stumpel CT, Vansenne F, Vinci M, van de Vorst M, Vries PD, Witherspoon K, Veltman JA, Brunner HG, Mefford HC, Romano C, Vissers LELM, Eichler EE, de Vries BBA. A genotype-first approach identifies an intellectual disability-overweight syndrome caused by PHIP haploinsufficiency. Eur J Hum Genet 2018; 26:54-63. [PMID: 29209020 PMCID: PMC5839042 DOI: 10.1038/s41431-017-0039-5] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Revised: 09/19/2017] [Accepted: 10/17/2017] [Indexed: 11/08/2022] Open
Abstract
Genotype-first combined with reverse phenotyping has shown to be a powerful tool in human genetics, especially in the era of next generation sequencing. This combines the identification of individuals with mutations in the same gene and linking these to consistent (endo)phenotypes to establish disease causality. We have performed a MIP (molecular inversion probe)-based targeted re-sequencing study in 3,275 individuals with intellectual disability (ID) to facilitate a genotype-first approach for 24 genes previously implicated in ID.Combining our data with data from a publicly available database, we confirmed 11 of these 24 genes to be relevant for ID. Amongst these, PHIP was shown to have an enrichment of disruptive mutations in the individuals with ID (5 out of 3,275). Through international collaboration, we identified a total of 23 individuals with PHIP mutations and elucidated the associated phenotype. Remarkably, all 23 individuals had developmental delay/ID and the majority were overweight or obese. Other features comprised behavioral problems (hyperactivity, aggression, features of autism and/or mood disorder) and dysmorphisms (full eyebrows and/or synophrys, upturned nose, large ears and tapering fingers). Interestingly, PHIP encodes two protein-isoforms, PHIP/DCAF14 and NDRP, each involved in neurodevelopmental processes, including E3 ubiquitination and neuronal differentiation. Detailed genotype-phenotype analysis points towards haploinsufficiency of PHIP/DCAF14, and not NDRP, as the underlying cause of the phenotype.Thus, we demonstrated the use of large scale re-sequencing by MIPs, followed by reverse phenotyping, as a constructive approach to verify candidate disease genes and identify novel syndromes, highlighted by PHIP haploinsufficiency causing an ID-overweight syndrome.
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Affiliation(s)
- Sandra Jansen
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Alexander Hoischen
- Department of Human Genetics, Radboud Institute of Molecular Life Sciences, Radboud University Medical Center, 6525 GA, Nijmegen, The Netherlands
- Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, 6525 GA, Nijmegen, The Netherlands
| | - Bradley P Coe
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Gemma L Carvill
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Hilde Van Esch
- Centre for Human Genetics, KU Leuven, Herestraat 49, B-3000, Leuven, Belgium
| | - Daniëlle G M Bosch
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
- Currently working at the Department of Genetics, University Medical Center Utrecht, Utrecht, 3584 CX, The Netherlands
| | - Ulla A Andersen
- Department of Psychiatry, Odense, Institute of clinical research, University of Southern Denmark, J.B. Winsløwsvej 18, 5000, Odense C, Denmark
| | - Carl Baker
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Marijke Bauters
- Centre for Human Genetics, KU Leuven, Herestraat 49, B-3000, Leuven, Belgium
| | - Raphael A Bernier
- Department of Psychiatry, University of Washington, Seattle, WA, USA
| | - Bregje W van Bon
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | | | - Jozef Gecz
- Adelaide Medical School and the Robinson Research Institute, University of Adelaide, Adelaide, SA 5000, Australia
- South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia
| | - Christian Gilissen
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Lucia Grillo
- Laboratory of Medical Genetics, Oasi Research Institute (IRCCS), Via Conte Ruggero, 73, Postal Code 94018, Troina, Italy
| | - Anna Hackett
- The GOLD service Hunter Genetics, University of Newcastle, Newcastle, NSW, Australia
| | - Tjitske Kleefstra
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - David Koolen
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Malin Kvarnung
- Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institutet, SE-171 76, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, 171 77, Stockholm, Sweden
| | - Martin J Larsen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Carlo Marcelis
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Fiona McKenzie
- School of Paediatrics and Child Health, The University of Western Australia, Crawley, WA, Australia
- Genetic Services of Western Australia, King Edward Memorial Hospital, Subiaco, WA, Australia
| | - Marie-Lorraine Monin
- Department of Genetics, Pitié-Salpêtrière University Hospital, 47-83 Boulevard de l'Hôpital, 75651, Paris Cedex 13, France
| | - Caroline Nava
- Département de Génétique, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, 75013, Paris, France
- INSERM, U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, 75013, Paris, France
| | - Janneke H Schuurs-Hoeijmakers
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Rolph Pfundt
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Marloes Steehouwer
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Servi J C Stevens
- Department of Clinical Genetics and GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands
| | - Connie T Stumpel
- Department of Clinical Genetics and GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands
| | - Fleur Vansenne
- Department of Genetics, University of Groningen, University Medical Center Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands
| | - Mirella Vinci
- Laboratory of Medical Genetics, Oasi Research Institute (IRCCS), Via Conte Ruggero, 73, Postal Code 94018, Troina, Italy
| | - Maartje van de Vorst
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Petra de Vries
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Kali Witherspoon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Joris A Veltman
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
- Institute of Genetic Medicine, International Centre for Life, Newcastle University, Central Parkway, Newcastle, NE1 3BZ, United Kingdom
| | - Han G Brunner
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
- Department of Clinical Genetics and GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands
| | - Heather C Mefford
- Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA, United States
| | - Corrado Romano
- Pediatrics and Medical Genetics, Oasi Research Institute (IRCCS), Via Conte Ruggero, 73, Postal Code 94018, Troina, Italy
| | - Lisenka E L M Vissers
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, 98195, USA
| | - Bert B A de Vries
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
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590
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Clark MM, Stark Z, Farnaes L, Tan TY, White SM, Dimmock D, Kingsmore SF. Meta-analysis of the diagnostic and clinical utility of genome and exome sequencing and chromosomal microarray in children with suspected genetic diseases. NPJ Genom Med 2018; 3:16. [PMID: 30002876 DOI: 10.1101/255299] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Revised: 04/30/2018] [Accepted: 05/10/2018] [Indexed: 05/22/2023] Open
Abstract
Genetic diseases are leading causes of childhood mortality. Whole-genome sequencing (WGS) and whole-exome sequencing (WES) are relatively new methods for diagnosing genetic diseases, whereas chromosomal microarray (CMA) is well established. Here we compared the diagnostic utility (rate of causative, pathogenic, or likely pathogenic genotypes in known disease genes) and clinical utility (proportion in whom medical or surgical management was changed by diagnosis) of WGS, WES, and CMA in children with suspected genetic diseases by systematic review of the literature (January 2011-August 2017) and meta-analysis, following MOOSE/PRISMA guidelines. In 37 studies, comprising 20,068 children, diagnostic utility of WGS (0.41, 95% CI 0.34-0.48, I2 = 44%) and WES (0.36, 95% CI 0.33-0.40, I2 = 83%) were qualitatively greater than CMA (0.10, 95% CI 0.08-0.12, I2 = 81%). Among studies published in 2017, the diagnostic utility of WGS was significantly greater than CMA (P < 0.0001, I2 = 13% and I2 = 40%, respectively). Among studies featuring within-cohort comparisons, the diagnostic utility of WES was significantly greater than CMA (P < 0.001, I2 = 36%). The diagnostic utility of WGS and WES were not significantly different. In studies featuring within-cohort comparisons of WGS/WES, the likelihood of diagnosis was significantly greater for trios than singletons (odds ratio 2.04, 95% CI 1.62-2.56, I2 = 12%; P < 0.0001). Diagnostic utility of WGS/WES with hospital-based interpretation (0.42, 95% CI 0.38-0.45, I2 = 48%) was qualitatively higher than that of reference laboratories (0.29, 95% CI 0.27-0.31, I2 = 49%); this difference was significant among studies published in 2017 (P < .0001, I2 = 22% and I2 = 26%, respectively). The clinical utility of WGS (0.27, 95% CI 0.17-0.40, I2 = 54%) and WES (0.17, 95% CI 0.12-0.24, I2 = 76%) were higher than CMA (0.06, 95% CI 0.05-0.07, I2 = 42%); this difference was significant for WGS vs CMA (P < 0.0001). In conclusion, in children with suspected genetic diseases, the diagnostic and clinical utility of WGS/WES were greater than CMA. Subgroups with higher WGS/WES diagnostic utility were trios and those receiving hospital-based interpretation. WGS/WES should be considered a first-line genomic test for children with suspected genetic diseases.
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Affiliation(s)
- Michelle M Clark
- Rady Children's Institute for Genomic Medicine, San Diego, CA USA
| | - Zornitza Stark
- 2Murdoch Children's Research Institute, Melbourne, Australia
| | - Lauge Farnaes
- Rady Children's Institute for Genomic Medicine, San Diego, CA USA
- 3Department of Pediatrics, University of California San Diego, San Diego, CA USA
| | - Tiong Y Tan
- 2Murdoch Children's Research Institute, Melbourne, Australia
- 4Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - Susan M White
- 2Murdoch Children's Research Institute, Melbourne, Australia
- 4Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - David Dimmock
- Rady Children's Institute for Genomic Medicine, San Diego, CA USA
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591
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Romasko EJ, Devkota B, Biswas S, Jayaraman V, Rajagopalan R, Dulik MC, Thom CS, Choi J, Jairam S, Scarano MI, Krantz ID, Spinner NB, Conlin LK, Lambert MP. Utility and limitations of exome sequencing in the molecular diagnosis of pediatric inherited platelet disorders. Am J Hematol 2018; 93:8-16. [PMID: 28960434 DOI: 10.1002/ajh.24917] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 09/21/2017] [Accepted: 09/23/2017] [Indexed: 12/21/2022]
Abstract
Inherited platelet disorders (IPD) are a heterogeneous group of rare disorders that affect platelet number and function and often predispose to other significant medical complications. In spite of the identification of over 50 IPD disease-associated genes, a molecular diagnosis is only identified in a minority (10%) of affected patients without a clinically suspected etiology. We studied a cohort of 21 pediatric patients with suspected IPDs by exome sequencing (ES) to: (1) examine the performance of the exome test for IPD genes, (2) determine if this exome-wide diagnostic test provided a higher diagnostic yield than has been previously reported, (3) to evaluate the frequency of variants of uncertain significance identified, and (4) to identify candidate variants for functional evaluation in patients with an uncertain or negative diagnosis. We established a high priority gene list of 53 genes, evaluated exome capture kit performance, and determined the coverage for these genes and disease-related variants. We identified likely disease causing variants in 5 of the 21 probands (23.8%) and variants of uncertain significance in 52% of patients studied. In conclusion, ES has the potential to molecularly diagnose causes of IPD, and to identify candidate genes for functional evaluation. Robust exome sequencing also requires that coverage of genes known to be associated with clinical findings of interest need to be carefully examined and supplemented if necessary. Clinicians who undertake ES should understand the limitations of the test and the full significance of results that may be returned.
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Affiliation(s)
- Edward J. Romasko
- Division of Human Genetics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Batsal Devkota
- Department of Biomedical and Health Informatics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Sawona Biswas
- Division of Human Genetics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Vijayakumar Jayaraman
- Division of Human Genetics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Ramakrishnan Rajagopalan
- Department of Biomedical and Health Informatics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Matthew C. Dulik
- Division of Genomic Diagnostics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Christopher S. Thom
- Department of Pediatrics; University of Pennsylvania School of Medicine, Philadelphia; Philadelphia Pennsylvania
| | - Jiwon Choi
- Division of Human Genetics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
| | - Sowmya Jairam
- Department of Pathology; Memorial Sloan Kettering Cancer Center; New York New York
| | | | - Ian D. Krantz
- Division of Human Genetics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
- Department of Pediatrics; University of Pennsylvania School of Medicine, Philadelphia; Philadelphia Pennsylvania
| | - Nancy B. Spinner
- Division of Genomic Diagnostics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
- Department of Pathology and Laboratory Medicine; University of Pennsylvania School of Medicine; Philadelphia Pennsylvania
| | - Laura K. Conlin
- Division of Genomic Diagnostics; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
- Department of Pathology and Laboratory Medicine; University of Pennsylvania School of Medicine; Philadelphia Pennsylvania
| | - Michele P. Lambert
- Department of Pediatrics; University of Pennsylvania School of Medicine, Philadelphia; Philadelphia Pennsylvania
- Division of Hematology; Children's Hospital of Philadelphia; Philadelphia Pennsylvania
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592
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Zhao JJ, Halvardson J, Zander CS, Zaghlool A, Georgii‐Hemming P, Månsson E, Brandberg G, Sävmarker HE, Frykholm C, Kuchinskaya E, Thuresson A, Feuk L. Exome sequencing reveals NAA15 and PUF60 as candidate genes associated with intellectual disability. Am J Med Genet B Neuropsychiatr Genet 2018; 177:10-20. [PMID: 28990276 PMCID: PMC5765476 DOI: 10.1002/ajmg.b.32574] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2016] [Revised: 05/09/2017] [Accepted: 07/05/2017] [Indexed: 11/07/2022]
Abstract
Intellectual Disability (ID) is a clinically heterogeneous condition that affects 2-3% of population worldwide. In recent years, exome sequencing has been a successful strategy for studies of genetic causes of ID, providing a growing list of both candidate and validated ID genes. In this study, exome sequencing was performed on 28 ID patients in 27 patient-parent trios with the aim to identify de novo variants (DNVs) in known and novel ID associated genes. We report the identification of 25 DNVs out of which five were classified as pathogenic or likely pathogenic. Among these, a two base pair deletion was identified in the PUF60 gene, which is one of three genes in the critical region of the 8q24.3 microdeletion syndrome (Verheij syndrome). Our result adds to the growing evidence that PUF60 is responsible for the majority of the symptoms reported for carriers of a microdeletion across this region. We also report variants in several genes previously not associated with ID, including a de novo missense variant in NAA15. We highlight NAA15 as a novel candidate ID gene based on the vital role of NAA15 in the generation and differentiation of neurons in neonatal brain, the fact that the gene is highly intolerant to loss of function and coding variation, and previously reported DNVs in neurodevelopmental disorders.
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Affiliation(s)
- Jin J. Zhao
- Department of ImmunologyGenetics and PathologyScience for Life Laboratory UppsalaUppsala UniversityUppsalaSweden
| | - Jonatan Halvardson
- Department of ImmunologyGenetics and PathologyScience for Life Laboratory UppsalaUppsala UniversityUppsalaSweden
| | - Cecilia S. Zander
- Department of ImmunologyGenetics and PathologyScience for Life Laboratory UppsalaUppsala UniversityUppsalaSweden
| | - Ammar Zaghlool
- Department of ImmunologyGenetics and PathologyScience for Life Laboratory UppsalaUppsala UniversityUppsalaSweden
| | - Patrik Georgii‐Hemming
- Department of ImmunologyGenetics and PathologyScience for Life Laboratory UppsalaUppsala UniversityUppsalaSweden,Department of Molecular Medicine and SurgeryKarolinska InstituteKarolinska University Hospital SolnaStockholmSweden
| | - Else Månsson
- Department of PediatricsÖrebro University HospitalÖrebroSweden
| | | | | | - Carina Frykholm
- Department of ImmunologyGenetics and PathologyScience for Life Laboratory UppsalaUppsala UniversityUppsalaSweden
| | - Ekaterina Kuchinskaya
- Department of Clinical Genetics, and Department of Clinical MedicineLinköping UniversityLinköpingSweden
| | - Ann‐Charlotte Thuresson
- Department of ImmunologyGenetics and PathologyScience for Life Laboratory UppsalaUppsala UniversityUppsalaSweden
| | - Lars Feuk
- Department of ImmunologyGenetics and PathologyScience for Life Laboratory UppsalaUppsala UniversityUppsalaSweden
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593
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Stals KL, Wakeling M, Baptista J, Caswell R, Parrish A, Rankin J, Tysoe C, Jones G, Gunning AC, Lango Allen H, Bradley L, Brady AF, Carley H, Carmichael J, Castle B, Cilliers D, Cox H, Deshpande C, Dixit A, Eason J, Elmslie F, Fry AE, Fryer A, Holder M, Homfray T, Kivuva E, McKay V, Newbury‐Ecob R, Parker M, Savarirayan R, Searle C, Shannon N, Shears D, Smithson S, Thomas E, Turnpenny PD, Varghese V, Vasudevan P, Wakeling E, Baple EL, Ellard S. Diagnosis of lethal or prenatal-onset autosomal recessive disorders by parental exome sequencing. Prenat Diagn 2018; 38:33-43. [PMID: 29096039 PMCID: PMC5836855 DOI: 10.1002/pd.5175] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 10/10/2017] [Accepted: 10/23/2017] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Rare genetic disorders resulting in prenatal or neonatal death are genetically heterogeneous, but testing is often limited by the availability of fetal DNA, leaving couples without a potential prenatal test for future pregnancies. We describe our novel strategy of exome sequencing parental DNA samples to diagnose recessive monogenic disorders in an audit of the first 50 couples referred. METHOD Exome sequencing was carried out in a consecutive series of 50 couples who had 1 or more pregnancies affected with a lethal or prenatal-onset disorder. In all cases, there was insufficient DNA for exome sequencing of the affected fetus. Heterozygous rare variants (MAF < 0.001) in the same gene in both parents were selected for analysis. Likely, disease-causing variants were tested in fetal DNA to confirm co-segregation. RESULTS Parental exome analysis identified heterozygous pathogenic (or likely pathogenic) variants in 24 different genes in 26/50 couples (52%). Where 2 or more fetuses were affected, a genetic diagnosis was obtained in 18/29 cases (62%). In most cases, the clinical features were typical of the disorder, but in others, they result from a hypomorphic variant or represent the most severe form of a variable phenotypic spectrum. CONCLUSION We conclude that exome sequencing of parental samples is a powerful strategy with high clinical utility for the genetic diagnosis of lethal or prenatal-onset recessive disorders. © 2017 The Authors Prenatal Diagnosis published by John Wiley & Sons Ltd.
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594
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Best S, Wou K, Vora N, Van der Veyver IB, Wapner R, Chitty LS. Promises, pitfalls and practicalities of prenatal whole exome sequencing. Prenat Diagn 2018; 38:10-19. [PMID: 28654730 PMCID: PMC5745303 DOI: 10.1002/pd.5102] [Citation(s) in RCA: 238] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Revised: 06/16/2017] [Accepted: 06/22/2017] [Indexed: 12/17/2022]
Abstract
Prenatal genetic diagnosis provides information for pregnancy and perinatal decision-making and management. In several small series, prenatal whole exome sequencing (WES) approaches have identified genetic diagnoses when conventional tests (karyotype and microarray) were not diagnostic. Here, we review published prenatal WES studies and recent conference abstracts. Thirty-one studies were identified, with diagnostic rates in series of five or more fetuses varying between 6.2% and 80%. Differences in inclusion criteria and trio versus singleton approaches to sequencing largely account for the wide range of diagnostic rates. The data suggest that diagnostic yields will be greater in fetuses with multiple anomalies or in cases preselected following genetic review. Beyond its ability to improve diagnostic rates, we explore the potential of WES to improve understanding of prenatal presentations of genetic disorders and lethal fetal syndromes. We discuss prenatal phenotyping limitations, counselling challenges regarding variants of uncertain significance, incidental and secondary findings, and technical problems in WES. We review the practical, ethical, social and economic issues that must be considered before prenatal WES could become part of routine testing. Finally, we reflect upon the potential future of prenatal genetic diagnosis, including a move towards whole genome sequencing and non-invasive whole exome and whole genome testing. © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
- Sunayna Best
- North East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Karen Wou
- Department of Obstetrics and Gynecology, Division of Reproductive Genetics, Columbia University, New York, NY, USA
| | - Neeta Vora
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ignatia B. Van der Veyver
- Departments of Obstetrics and Gynecology and Molecular and Human Genetics, Baylor College of Medicine and Texas Children’s Hospital, Houston, TX, USA
| | - Ronald Wapner
- Department of Obstetrics and Gynecology, Division of Reproductive Genetics, Columbia University, New York, NY, USA
| | - Lyn S. Chitty
- North East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
- Genetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, London, UK
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595
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McDermott JH, Study DDD, Clayton-Smith J, Briggs TA. The TBR1-related autistic-spectrum-disorder phenotype and its clinical spectrum. Eur J Med Genet 2017; 61:253-256. [PMID: 29288087 DOI: 10.1016/j.ejmg.2017.12.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2017] [Revised: 12/20/2017] [Accepted: 12/20/2017] [Indexed: 11/16/2022]
Abstract
A diverse range of genetic aberrations can lead to Autistic Spectrum Disorder (ASD) and many of these have been identified via Next Generation Sequencing (NGS) as part of large scale consortium studies. ASD is a phenotypically variable disorder and detailed clinical descriptions are essential to appreciate genotype-phenotype relationships. In this report, we provide a comprehensive clinical description of a child with ASD in whom a TBR1 variant was identified. We review this case in the context of the current TBR1 literature and highlight the variable spectrum of disease associated with this gene. The phenotypic information outlined within the literature is incomplete, exemplifying the limitations of massively-parallel sequencing studies with regards to clinical annotation. We suggest that future reporting of ASD variants should include standardised phenotypic descriptions. This would develop a more thorough understanding of genotype-phenotype relationship, so allowing us to better counsel and support our patients.
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Affiliation(s)
- J H McDermott
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals, NHS Foundation Trust Manchester Academic Health Sciences Centre, United Kingdom; Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, United Kingdom.
| | - D D D Study
- Wellcome Trust Sanger Institute, Cambridgeshire, United Kingdom
| | - J Clayton-Smith
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals, NHS Foundation Trust Manchester Academic Health Sciences Centre, United Kingdom; Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, United Kingdom
| | - T A Briggs
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals, NHS Foundation Trust Manchester Academic Health Sciences Centre, United Kingdom; Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, United Kingdom.
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596
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Nguyen HT, Bryois J, Kim A, Dobbyn A, Huckins LM, Munoz-Manchado AB, Ruderfer DM, Genovese G, Fromer M, Xu X, Pinto D, Linnarsson S, Verhage M, Smit AB, Hjerling-Leffler J, Buxbaum JD, Hultman C, Sklar P, Purcell SM, Lage K, He X, Sullivan PF, Stahl EA. Integrated Bayesian analysis of rare exonic variants to identify risk genes for schizophrenia and neurodevelopmental disorders. Genome Med 2017; 9:114. [PMID: 29262854 PMCID: PMC5738153 DOI: 10.1186/s13073-017-0497-y] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Accepted: 11/16/2017] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Integrating rare variation from trio family and case-control studies has successfully implicated specific genes contributing to risk of neurodevelopmental disorders (NDDs) including autism spectrum disorders (ASD), intellectual disability (ID), developmental disorders (DDs), and epilepsy (EPI). For schizophrenia (SCZ), however, while sets of genes have been implicated through the study of rare variation, only two risk genes have been identified. METHODS We used hierarchical Bayesian modeling of rare-variant genetic architecture to estimate mean effect sizes and risk-gene proportions, analyzing the largest available collection of whole exome sequence data for SCZ (1,077 trios, 6,699 cases, and 13,028 controls), and data for four NDDs (ASD, ID, DD, and EPI; total 10,792 trios, and 4,058 cases and controls). RESULTS For SCZ, we estimate there are 1,551 risk genes. There are more risk genes and they have weaker effects than for NDDs. We provide power analyses to predict the number of risk-gene discoveries as more data become available. We confirm and augment prior risk gene and gene set enrichment results for SCZ and NDDs. In particular, we detected 98 new DD risk genes at FDR < 0.05. Correlations of risk-gene posterior probabilities are high across four NDDs (ρ>0.55), but low between SCZ and the NDDs (ρ<0.3). An in-depth analysis of 288 NDD genes shows there is highly significant protein-protein interaction (PPI) network connectivity, and functionally distinct PPI subnetworks based on pathway enrichment, single-cell RNA-seq cell types, and multi-region developmental brain RNA-seq. CONCLUSIONS We have extended a pipeline used in ASD studies and applied it to infer rare genetic parameters for SCZ and four NDDs ( https://github.com/hoangtn/extTADA ). We find many new DD risk genes, supported by gene set enrichment and PPI network connectivity analyses. We find greater similarity among NDDs than between NDDs and SCZ. NDD gene subnetworks are implicated in postnatally expressed presynaptic and postsynaptic genes, and for transcriptional and post-transcriptional gene regulation in prenatal neural progenitor and stem cells.
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Affiliation(s)
- Hoang T. Nguyen
- Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, 10029 NY USA
| | - Julien Bryois
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - April Kim
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts USA
- Department of Surgery, Massachusetts General Hospital, Boston, 02114 MA USA
| | - Amanda Dobbyn
- Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, 10029 NY USA
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, 10029 NY USA
| | - Laura M. Huckins
- Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, 10029 NY USA
| | - Ana B. Munoz-Manchado
- Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, SE-17177 Sweden
| | - Douglas M. Ruderfer
- Division of Genetic Medicine, Departments of Medicine, Psychiatry and Biomedical Informatics, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, 37235 TN USA
| | - Giulio Genovese
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts USA
- Department of Genetics, Harvard Medical School, Cambridge, Massachusetts USA
| | - Menachem Fromer
- Verily Life Sciences, 269 E Grand Ave, South San Francisco, 94080 CA USA
| | - Xinyi Xu
- Seaver Autism Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, 10029 NY USA
| | - Dalila Pinto
- Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, 10029 NY USA
- Seaver Autism Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, 10029 NY USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, 10029 NY USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, 10029 NY USA
| | - Sten Linnarsson
- Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, SE-17177 Sweden
| | - Matthijs Verhage
- Department of Functional Genomics, The Center for Neurogenomics and Cognitive Research, VU University and VU Medical Center, Amsterdam, The Netherlands
| | - August B. Smit
- Department of Molecular and Cellular Neurobiology, The Center for Neurogenomics and Cognitive Research, VU University, Amsterdam, The Netherlands
| | - Jens Hjerling-Leffler
- Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, SE-17177 Sweden
| | - Joseph D. Buxbaum
- Seaver Autism Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, 10029 NY USA
| | - Christina Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Pamela Sklar
- Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, 10029 NY USA
| | - Shaun M. Purcell
- Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, 10029 NY USA
- Sleep Center, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts USA
| | - Kasper Lage
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts USA
- Department of Surgery, Massachusetts General Hospital, Boston, 02114 MA USA
| | - Xin He
- Department of Human Genetics, University of Chicago, Chicago, 60637 IL USA
| | - Patrick F. Sullivan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Departments of Genetics and Psychiatry, University of North Carolina, Chapel Hill, 27599-7264 North Carolina USA
| | - Eli A. Stahl
- Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, 10029 NY USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts USA
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597
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van Dongen LCM, Wingbermühle E, Oomens W, Bos-Roubos AG, Ockeloen CW, Kleefstra T, Egger JIM. Intellectual Profiles in KBG-Syndrome: A Wechsler Based Case-Control Study. Front Behav Neurosci 2017; 11:248. [PMID: 29311865 PMCID: PMC5742227 DOI: 10.3389/fnbeh.2017.00248] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Accepted: 12/06/2017] [Indexed: 12/18/2022] Open
Abstract
KBG syndrome is a neurodevelopmental disorder (NDD) caused by loss-of-function of the ANKRD11 gene. The core phenotype comprises developmental delay (DD)/ intellectual disability (ID) and several specific facial dysmorphisms. In addition, both ADHD- and ASD-related symptoms have been mentioned. For the correct understanding of these developmental and behavioral characteristics however, it is of great importance to apply objective measures, which seldom has been done in patients with KBG syndrome. In this study, intelligence profiles of patients with KBG syndrome (n = 18) were compared with a control group comprising patients with NDD caused by various other genetic defects (n = 17), by means of the Wechsler scales. These scales were also used to measure speed of information processing, working memory, verbal comprehension and perceptual reasoning. No significant differences were found in the global level of intelligence of patients with KBG syndrome as compared to the patient genetic control group. The same was true for Wechsler subtest results. Hence, behavioral problems associated with KBG syndrome cannot directly be related to or explained by a specific intelligence profile. Instead, specific assessment of neurocognitive functions should be performed to clarify the putative behavioral problems as observed in this syndrome.
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Affiliation(s)
- Linde C M van Dongen
- Centre of Excellence for Neuropsychiatry, Vincent van Gogh Institute for Psychiatry, Venray, Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands.,Department of Human Genetics, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Ellen Wingbermühle
- Centre of Excellence for Neuropsychiatry, Vincent van Gogh Institute for Psychiatry, Venray, Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands
| | - Wouter Oomens
- Centre of Excellence for Neuropsychiatry, Vincent van Gogh Institute for Psychiatry, Venray, Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands
| | - Anja G Bos-Roubos
- Centre of Excellence for Neuropsychiatry, Vincent van Gogh Institute for Psychiatry, Venray, Netherlands
| | - Charlotte W Ockeloen
- Department of Human Genetics, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Tjitske Kleefstra
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands.,Department of Human Genetics, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Jos I M Egger
- Centre of Excellence for Neuropsychiatry, Vincent van Gogh Institute for Psychiatry, Venray, Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands.,Department of Human Genetics, Radboud University Medical Centre, Nijmegen, Netherlands.,Centre of Excellence for Korsakoff and Alcohol-Related Cognitive Disorders, Vincent van Gogh Institute for Psychiatry, Venray, Netherlands
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598
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Harper CB, Mancini GMS, van Slegtenhorst M, Cousin MA. Altered synaptobrevin-II trafficking in neurons expressing a synaptophysin mutation associated with a severe neurodevelopmental disorder. Neurobiol Dis 2017; 108:298-306. [PMID: 28887151 PMCID: PMC5673032 DOI: 10.1016/j.nbd.2017.08.021] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Revised: 07/27/2017] [Accepted: 08/31/2017] [Indexed: 11/17/2022] Open
Abstract
Following exocytosis, synaptic vesicles (SVs) have to be reformed with the correct complement of proteins in the correct stoichiometry to ensure continued neurotransmission. Synaptophysin is a highly abundant, integral SV protein necessary for the efficient retrieval of the SV SNARE protein, synaptobrevin II (sybII). However the molecular mechanism underpinning synaptophysin-dependent sybII retrieval is still unclear. We recently identified a male patient with severe intellectual disability, hypotonia, epilepsy and callosal agenesis who has a point mutation in the juxtamembrane region of the fourth transmembrane domain of synaptophysin (T198I). This mutation had no effect on the activity-dependent retrieval of synaptophysin that was tagged with the genetically-encoded pH-sensitive reporter (pHluorin) in synaptophysin knockout hippocampal cultures. This suggested the mutant has no global effect on SV endocytosis, which was confirmed when retrieval of a different SV cargo (the glutamate transporter vGLUT1) was examined. However neurons expressing this T198I mutant did display impaired activity-dependent sybII retrieval, similar to that observed in synaptophysin knockout neurons. Interestingly this impairment did not result in an increased stranding of sybII at the plasma membrane. Screening of known human synaptophysin mutations revealed a similar presynaptic phenotype between T198I and a mutation found in X-linked intellectual disability. Thus this novel human synaptophysin mutation has revealed that aberrant retrieval and increased plasma membrane localisation of SV cargo can be decoupled in human disease.
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Affiliation(s)
- Callista B Harper
- Centre for Integrative Physiology, Hugh Robson Building, University of Edinburgh, Edinburgh EH8 9XD, United Kingdom; Simonds Initiative for the Developing Brain, Hugh Robson Building, University of Edinburgh, Edinburgh EH8 9XD, United Kingdom
| | - Grazia M S Mancini
- Department of Clinical Genetics, Erasmus University Medical Center, 3015CN Rotterdam, The Netherlands
| | - Marjon van Slegtenhorst
- Department of Clinical Genetics, Erasmus University Medical Center, 3015CN Rotterdam, The Netherlands
| | - Michael A Cousin
- Centre for Integrative Physiology, Hugh Robson Building, University of Edinburgh, Edinburgh EH8 9XD, United Kingdom; Simonds Initiative for the Developing Brain, Hugh Robson Building, University of Edinburgh, Edinburgh EH8 9XD, United Kingdom.
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599
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Katrancha SM, Wu Y, Zhu M, Eipper BA, Koleske AJ, Mains RE. Neurodevelopmental disease-associated de novo mutations and rare sequence variants affect TRIO GDP/GTP exchange factor activity. Hum Mol Genet 2017; 26:4728-4740. [PMID: 28973398 PMCID: PMC5886096 DOI: 10.1093/hmg/ddx355] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2017] [Revised: 08/07/2017] [Accepted: 08/22/2017] [Indexed: 12/19/2022] Open
Abstract
Bipolar disorder, schizophrenia, autism and intellectual disability are complex neurodevelopmental disorders, debilitating millions of people. Therapeutic progress is limited by poor understanding of underlying molecular pathways. Using a targeted search, we identified an enrichment of de novo mutations in the gene encoding the 330-kDa triple functional domain (TRIO) protein associated with neurodevelopmental disorders. By generating multiple TRIO antibodies, we show that the smaller TRIO9 isoform is the major brain protein product, and its levels decrease after birth. TRIO9 contains two guanine nucleotide exchange factor (GEF) domains with distinct specificities: GEF1 activates both Rac1 and RhoG; GEF2 activates RhoA. To understand the impact of disease-associated de novo mutations and other rare sequence variants on TRIO function, we utilized two FRET-based biosensors: a Rac1 biosensor to study mutations in TRIO (T)GEF1, and a RhoA biosensor to study mutations in TGEF2. We discovered that one autism-associated de novo mutation in TGEF1 (K1431M), at the TGEF1/Rac1 interface, markedly decreased its overall activity toward Rac1. A schizophrenia-associated rare sequence variant in TGEF1 (F1538Intron) was substantially less active, normalized to protein level and expressed poorly. Overall, mutations in TGEF1 decreased GEF1 activity toward Rac1. One bipolar disorder-associated rare variant (M2145T) in TGEF2 impaired inhibition by the TGEF2 pleckstrin-homology domain, resulting in dramatically increased TGEF2 activity. Overall, genetic damage to both TGEF domains altered TRIO catalytic activity, decreasing TGEF1 activity and increasing TGEF2 activity. Importantly, both GEF changes are expected to decrease neurite outgrowth, perhaps consistent with their association with neurodevelopmental disorders.
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Affiliation(s)
- Sara M Katrancha
- Interdepartmental Neuroscience Program
- Department of Neuroscience
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
| | - Yi Wu
- Center for Cell Analysis and Modeling, University of Connecticut Health Center, Farmington, CT, USA
| | - Minsheng Zhu
- Model Animal Research Center, Nanjing University, Nanjing 210061, China
| | - Betty A Eipper
- Department of Neuroscience
- Department of Molecular Biology and Biophysics, University of Connecticut Health Center, Farmington, CT, USA
| | - Anthony J Koleske
- Interdepartmental Neuroscience Program
- Department of Neuroscience
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
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600
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Wilfert AB, Sulovari A, Turner TN, Coe BP, Eichler EE. Recurrent de novo mutations in neurodevelopmental disorders: properties and clinical implications. Genome Med 2017; 9:101. [PMID: 29179772 PMCID: PMC5704398 DOI: 10.1186/s13073-017-0498-x] [Citation(s) in RCA: 93] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Next-generation sequencing (NGS) is now more accessible to clinicians and researchers. As a result, our understanding of the genetics of neurodevelopmental disorders (NDDs) has rapidly advanced over the past few years. NGS has led to the discovery of new NDD genes with an excess of recurrent de novo mutations (DNMs) when compared to controls. Development of large-scale databases of normal and disease variation has given rise to metrics exploring the relative tolerance of individual genes to human mutation. Genetic etiology and diagnosis rates have improved, which have led to the discovery of new pathways and tissue types relevant to NDDs. In this review, we highlight several key findings based on the discovery of recurrent DNMs ranging from copy number variants to point mutations. We explore biases and patterns of DNM enrichment and the role of mosaicism and secondary mutations in variable expressivity. We discuss the benefit of whole-genome sequencing (WGS) over whole-exome sequencing (WES) to understand more complex, multifactorial cases of NDD and explain how this improved understanding aids diagnosis and management of these disorders. Comprehensive assessment of the DNM landscape across the genome using WGS and other technologies will lead to the development of novel functional and bioinformatics approaches to interpret DNMs and drive new insights into NDD biology.
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Affiliation(s)
- Amy B Wilfert
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Arvis Sulovari
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Tychele N Turner
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Bradley P Coe
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA.
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, 98195, USA.
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