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Parivesh A, Délot E, Reyes A, Ryan J, Bhattacharya S, Harley V, Vilain E. Reprograming skin fibroblasts into Sertoli cells: a patient-specific tool to understand effects of genetic variants on gonadal development. Biol Sex Differ 2024; 15:24. [PMID: 38520033 PMCID: PMC10958866 DOI: 10.1186/s13293-024-00599-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 02/22/2024] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND Disorders/differences of sex development (DSD) are congenital conditions in which the development of chromosomal, gonadal, or anatomical sex is atypical. With overlapping phenotypes and multiple genes involved, poor diagnostic yields are achieved for many of these conditions. The current DSD diagnostic regimen can be augmented by investigating transcriptome/proteome in vivo, but it is hampered by the unavailability of affected gonadal tissue at the relevant developmental stage. We try to mitigate this limitation by reprogramming readily available skin tissue-derived dermal fibroblasts into Sertoli cells (SC), which could then be deployed for different diagnostic strategies. SCs form the target cell type of choice because they act like an organizing center of embryonic gonadal development and many DSD arise when these developmental processes go awry. METHODS We employed a computational predictive algorithm for cell conversions called Mogrify to predict the transcription factors (TFs) required for direct reprogramming of human dermal fibroblasts into SCs. We established trans-differentiation culture conditions where stable transgenic expression of these TFs was achieved in 46, XY adult dermal fibroblasts using lentiviral vectors. The resulting Sertoli like cells (SLCs) were validated for SC phenotype using several approaches. RESULTS SLCs exhibited Sertoli-like morphological and cellular properties as revealed by morphometry and xCelligence cell behavior assays. They also showed Sertoli-specific expression of molecular markers such as SOX9, PTGDS, BMP4, or DMRT1 as revealed by IF imaging, RNAseq and qPCR. The SLC transcriptome shared about two thirds of its differentially expressed genes with a human adult SC transcriptome and expressed markers typical of embryonic SCs. Notably, SLCs lacked expression of most markers of other gonadal cell types such as Leydig, germ, peritubular myoid or granulosa cells. CONCLUSIONS The trans-differentiation method was applied to a variety of commercially available 46, XY fibroblasts derived from patients with DSD and to a 46, XX cell line. The DSD SLCs displayed altered levels of trans-differentiation in comparison to normal 46, XY-derived SLCs, thus showcasing the robustness of this new trans-differentiation model. Future applications could include using the SLCs to improve definitive diagnosis of DSD in patients with variants of unknown significance.
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Affiliation(s)
- Abhinav Parivesh
- Center for Genetic Medicine Research, Children's National Hospital, Washington D.C., 20010, USA
| | - Emmanuèle Délot
- Center for Genetic Medicine Research, Children's National Hospital, Washington D.C., 20010, USA
| | - Alejandra Reyes
- Centre for Endocrinology and Metabolism, Hudson Institute of Medical Research, Melbourne, VIC, 3168, Australia
| | - Janelle Ryan
- Centre for Endocrinology and Metabolism, Hudson Institute of Medical Research, Melbourne, VIC, 3168, Australia
| | - Surajit Bhattacharya
- Center for Genetic Medicine Research, Children's National Hospital, Washington D.C., 20010, USA
| | - Vincent Harley
- Centre for Endocrinology and Metabolism, Hudson Institute of Medical Research, Melbourne, VIC, 3168, Australia
| | - Eric Vilain
- Institute for Clinical and Translational Science, University of California, Irvine, CA, USA.
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2
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Lee MM, McDowell GSV, De Vivo DC, Friedman D, Berkovic SF, Spanou M, Dinopoulos A, Grand K, Sanchez‐Lara PA, Allen‐Sharpley M, Warman‐Chardon J, Solyom A, Levade T, Schuchman EH, Bennett SAL, Dyment DA, Pearson TS. The clinical spectrum of SMA-PME and in vitro normalization of its cellular ceramide profile. Ann Clin Transl Neurol 2022; 9:1941-1952. [PMID: 36325744 PMCID: PMC9735369 DOI: 10.1002/acn3.51687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 10/12/2022] [Accepted: 10/14/2022] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVE The objectives of this study were to define the clinical and biochemical spectrum of spinal muscular atrophy with progressive myoclonic epilepsy (SMA-PME) and to determine if aberrant cellular ceramide accumulation could be normalized by enzyme replacement. METHODS Clinical features of 6 patients with SMA-PME were assessed by retrospective chart review, and a literature review of 24 previously published cases was performed. Leukocyte enzyme activity of acid ceramidase was assessed with a fluorescence-based assay. Skin fibroblast ceramide content and was assessed by high performance liquid chromatography, electrospray ionization tandem mass spectroscopy. Enzyme replacement was assessed using recombinant human acid ceramidase (rhAC) in vitro. RESULTS The six new patients showed the hallmark features of SMA-PME, with variable initial symptom and age of onset. Five of six patients carried at least one of the recurrent SMA-PME variants observed in two specific codons of ASAH1. A review of 30 total cases revealed that patients who were homozygous for the most common c.125C > T variant presented in the first decade of life with limb-girdle weakness as the initial symptom. Sensorineural hearing loss was associated with the c.456A > C variant. Leukocyte acid ceramidase activity varied from 4.1%-13.1% of controls. Ceramide species in fibroblasts were detected and total cellular ceramide content was elevated by 2 to 9-fold compared to controls. Treatment with rhAC normalized ceramide profiles in cultured fibroblasts to control levels within 48 h. INTERPRETATION This study details the genotype-phenotype correlations observed in SMA-PME and shows the impact of rhAC to correct the abnormal cellular ceramide profile in cells.
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Affiliation(s)
- Michelle M. Lee
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
| | - Graeme S. V. McDowell
- Neural Regeneration Laboratory, Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and ImmunologyUniversity of OttawaOttawaOntarioCanada
| | - Darryl C. De Vivo
- Departments of Neurology and PediatricsColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Daniel Friedman
- Department of NeurologyNYU Grossman School of MedicineNew YorkNew YorkUSA
| | - Samuel F. Berkovic
- Epilepsy Research Centre, Department of MedicineUniversity of MelbourneHeidelbergVictoriaAustralia
| | - Maria Spanou
- Pediatric Neurology Division, 3rd Department of PediatricsAttikon University HospitalAthensGreece
| | - Argirios Dinopoulos
- Pediatric Neurology Division, 3rd Department of PediatricsAttikon University HospitalAthensGreece
| | - Katheryn Grand
- Department of PediatricsCedars‐Sinai Medical CenterLos AngelesCaliforniaUSA
| | | | | | - Jodi Warman‐Chardon
- Department of Medicine (Neurology)Ottawa Hospital Research InstituteOttawaOntarioCanada,Children's Hospital of Eastern Ontario Research InstituteOttawaOntarioCanada
| | | | - Thierry Levade
- Laboratoire de Biochimie MétaboliqueCHU Toulouse, INSERM U1037, Centre de Recherches en Cancérologie de Toulouse, Université Paul Sabatier ToulouseToulouseFrance
| | - Edward H. Schuchman
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNYUSA
| | - Steffany A. L. Bennett
- Neural Regeneration Laboratory, Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and ImmunologyUniversity of OttawaOttawaOntarioCanada
| | - David A. Dyment
- Children's Hospital of Eastern Ontario Research InstituteOttawaOntarioCanada
| | - Toni S. Pearson
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA,Departments of Neurology and PediatricsColumbia University Irving Medical CenterNew YorkNew YorkUSA
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3
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Peymani F, Farzeen A, Prokisch H. RNA sequencing role and application in clinical diagnostic. Pediatr Investig 2022; 6:29-35. [PMID: 35382420 PMCID: PMC8960934 DOI: 10.1002/ped4.12314] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 01/18/2022] [Indexed: 12/31/2022] Open
Affiliation(s)
- Fatemeh Peymani
- School of Medicine, Institute of Human Genetics Technical University of Munich Munich Germany
- Institute of Neurogenomics, Computational Health Center, Helmholtz Centre Munich Neuherberg Germany
| | - Aiman Farzeen
- School of Medicine, Institute of Human Genetics Technical University of Munich Munich Germany
- Institute of Neurogenomics, Computational Health Center, Helmholtz Centre Munich Neuherberg Germany
| | - Holger Prokisch
- School of Medicine, Institute of Human Genetics Technical University of Munich Munich Germany
- Institute of Neurogenomics, Computational Health Center, Helmholtz Centre Munich Neuherberg Germany
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4
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Mullin NK, Voigt AP, Cooke JA, Bohrer LR, Burnight ER, Stone EM, Mullins RF, Tucker BA. Patient derived stem cells for discovery and validation of novel pathogenic variants in inherited retinal disease. Prog Retin Eye Res 2021; 83:100918. [PMID: 33130253 PMCID: PMC8559964 DOI: 10.1016/j.preteyeres.2020.100918] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 10/22/2020] [Accepted: 10/27/2020] [Indexed: 02/07/2023]
Abstract
Our understanding of inherited retinal disease has benefited immensely from molecular genetic analysis over the past several decades. New technologies that allow for increasingly detailed examination of a patient's DNA have expanded the catalog of genes and specific variants that cause retinal disease. In turn, the identification of pathogenic variants has allowed the development of gene therapies and low-cost, clinically focused genetic testing. Despite this progress, a relatively large fraction (at least 20%) of patients with clinical features suggestive of an inherited retinal disease still do not have a molecular diagnosis today. Variants that are not obviously disruptive to the codon sequence of exons can be difficult to distinguish from the background of benign human genetic variations. Some of these variants exert their pathogenic effect not by altering the primary amino acid sequence, but by modulating gene expression, isoform splicing, or other transcript-level mechanisms. While not discoverable by DNA sequencing methods alone, these variants are excellent targets for studies of the retinal transcriptome. In this review, we present an overview of the current state of pathogenic variant discovery in retinal disease and identify some of the remaining barriers. We also explore the utility of new technologies, specifically patient-derived induced pluripotent stem cell (iPSC)-based modeling, in further expanding the catalog of disease-causing variants using transcriptome-focused methods. Finally, we outline bioinformatic analysis techniques that will allow this new method of variant discovery in retinal disease. As the knowledge gleaned from previous technologies is informing targets for therapies today, we believe that integrating new technologies, such as iPSC-based modeling, into the molecular diagnosis pipeline will enable a new wave of variant discovery and expanded treatment of inherited retinal disease.
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Affiliation(s)
- Nathaniel K Mullin
- The Institute for Vision Research, University of Iowa, Iowa City, IA, USA; Department of Ophthalmology and Visual Sciences, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Andrew P Voigt
- The Institute for Vision Research, University of Iowa, Iowa City, IA, USA; Department of Ophthalmology and Visual Sciences, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Jessica A Cooke
- The Institute for Vision Research, University of Iowa, Iowa City, IA, USA; Department of Ophthalmology and Visual Sciences, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Laura R Bohrer
- The Institute for Vision Research, University of Iowa, Iowa City, IA, USA; Department of Ophthalmology and Visual Sciences, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Erin R Burnight
- The Institute for Vision Research, University of Iowa, Iowa City, IA, USA; Department of Ophthalmology and Visual Sciences, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Edwin M Stone
- The Institute for Vision Research, University of Iowa, Iowa City, IA, USA; Department of Ophthalmology and Visual Sciences, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Robert F Mullins
- The Institute for Vision Research, University of Iowa, Iowa City, IA, USA; Department of Ophthalmology and Visual Sciences, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Budd A Tucker
- The Institute for Vision Research, University of Iowa, Iowa City, IA, USA; Department of Ophthalmology and Visual Sciences, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
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5
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Nicolau S, Milone M, Liewluck T. Guidelines for genetic testing of muscle and neuromuscular junction disorders. Muscle Nerve 2021; 64:255-269. [PMID: 34133031 DOI: 10.1002/mus.27337] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 05/28/2021] [Indexed: 12/24/2022]
Abstract
Despite recent advances in the understanding of inherited muscle and neuromuscular junction diseases, as well as the advent of a wide range of genetic tests, patients continue to face delays in diagnosis of sometimes treatable disorders. These guidelines outline an approach to genetic testing in such disorders. Initially, a patient's phenotype is evaluated to identify myopathies requiring directed testing, including myotonic dystrophies, facioscapulohumeral muscular dystrophy, oculopharyngeal muscular dystrophy, mitochondrial myopathies, dystrophinopathies, and oculopharyngodistal myopathy. Initial investigation in the remaining patients is generally a comprehensive gene panel by next-generation sequencing. Broad panels have a higher diagnostic yield and can be cost-effective. Due to extensive phenotypic overlap and treatment implications, genes responsible for congenital myasthenic syndromes should be included when evaluating myopathy patients. For patients whose initial genetic testing is negative or inconclusive, phenotypic re-evaluation is warranted, along with consideration of genes and variants not included initially, as well as their acquired mimickers.
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Affiliation(s)
- Stefan Nicolau
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Teerin Liewluck
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
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6
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Abstract
Abstract
Purpose of Review
Whole exome sequencing (WES) and whole-genome sequencing (WGS) are frontline approaches for the genetic diagnosis of rare diseases. However, WES/WGS fails in up to 75% of cases. Transcriptomics via RNA-sequencing (RNA-Seq) is a novel approach that aims to increase the diagnostic yield in rare diseases.
Recent Findings
Recent publications focus on the success of RNA-Seq for increasing diagnosis rates in WES/WGS-negative patients in up to 36% of cases, across a range of different diseases, sample sizes, and tissue types.
Summary
RNA-Seq is beneficial for aiding prioritisation of causative variants currently not detected or often overlooked by WES/WGS alone. An improvement in diagnostic yields has been demonstrated using multiple source tissues, with muscle and fibroblasts being the most representative, but the more accessible blood still demonstrating diagnostic success, particularly in neuromuscular disorders. The introduction of RNA-Seq to the genetic diagnosis toolbox promises to be a useful complementary tool to WES/WGS for improving genetic diagnosis in patients with rare disease.
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7
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Mezlini AM, Das S, Goldenberg A. Finding associations in a heterogeneous setting: statistical test for aberration enrichment. Genome Med 2021; 13:68. [PMID: 33892787 PMCID: PMC8066476 DOI: 10.1186/s13073-021-00864-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 03/09/2021] [Indexed: 12/16/2022] Open
Abstract
Most two-group statistical tests find broad patterns such as overall shifts in mean, median, or variance. These tests may not have enough power to detect effects in a small subset of samples, e.g., a drug that works well only on a few patients. We developed a novel statistical test targeting such effects relevant for clinical trials, biomarker discovery, feature selection, etc. We focused on finding meaningful associations in complex genetic diseases in gene expression, miRNA expression, and DNA methylation. Our test outperforms traditional statistical tests in simulated and experimental data and detects potentially disease-relevant genes with heterogeneous effects.
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Affiliation(s)
- Aziz M. Mezlini
- Harvard Medical School, Boston, USA
- Department of Neurology, Massachusetts General Hospital, Boston, USA
- Department of Computer Science, University of Toronto, Toronto, Canada
- Genetics and genome biology, Hospital for sick children, Toronto, Canada
- The Vector Institute, Toronto, Canada
- Evidation Health, Inc., San Mateo, CA USA
| | - Sudeshna Das
- Harvard Medical School, Boston, USA
- Department of Neurology, Massachusetts General Hospital, Boston, USA
| | - Anna Goldenberg
- Department of Computer Science, University of Toronto, Toronto, Canada
- Genetics and genome biology, Hospital for sick children, Toronto, Canada
- The Vector Institute, Toronto, Canada
- CIFAR, Toronto, Canada
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8
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Barp A, Mosca L, Sansone VA. Facilitations and Hurdles of Genetic Testing in Neuromuscular Disorders. Diagnostics (Basel) 2021; 11:diagnostics11040701. [PMID: 33919863 PMCID: PMC8070835 DOI: 10.3390/diagnostics11040701] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/11/2021] [Accepted: 04/12/2021] [Indexed: 12/11/2022] Open
Abstract
Neuromuscular disorders (NMDs) comprise a heterogeneous group of disorders that affect about one in every thousand individuals worldwide. The vast majority of NMDs has a genetic cause, with about 600 genes already identified. Application of genetic testing in NMDs can be useful for several reasons: correct diagnostic definition of a proband, extensive familial counselling to identify subjects at risk, and prenatal diagnosis to prevent the recurrence of the disease; furthermore, identification of specific genetic mutations still remains mandatory in some cases for clinical trial enrollment where new gene therapies are now approaching. Even though genetic analysis is catching on in the neuromuscular field, pitfalls and hurdles still remain and they should be taken into account by clinicians, as for example the use of next generation sequencing (NGS) where many single nucleotide variants of “unknown significance” can emerge, complicating the correct interpretation of genotype-phenotype relationship. Finally, when all efforts in terms of molecular analysis have been carried on, a portion of patients affected by NMDs still remain “not genetically defined”. In the present review we analyze the evolution of genetic techniques, from Sanger sequencing to NGS, and we discuss “facilitations and hurdles” of genetic testing which must always be balanced by clinicians, in order to ensure a correct diagnostic definition, but taking always into account the benefit that the patient could obtain especially in terms of “therapeutic offer”.
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Affiliation(s)
- Andrea Barp
- The NEMO Clinical Center in Milan, Neurorehabilitation Unit, University of Milan, Piazza Ospedale Maggiore 3, 20162 Milano, Italy;
- Correspondence:
| | - Lorena Mosca
- Medical Genetics Unit, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162 Milano, Italy;
| | - Valeria Ada Sansone
- The NEMO Clinical Center in Milan, Neurorehabilitation Unit, University of Milan, Piazza Ospedale Maggiore 3, 20162 Milano, Italy;
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9
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Abstract
Neuromuscular disorders (NMDs) comprise a heterogeneous group of disorders that affect about one in every thousand individuals worldwide. The vast majority of NMDs has a genetic cause, with about 600 genes already identified. Application of genetic testing in NMDs can be useful for several reasons: correct diagnostic definition of a proband, extensive familial counselling to identify subjects at risk, and prenatal diagnosis to prevent the recurrence of the disease; furthermore, identification of specific genetic mutations still remains mandatory in some cases for clinical trial enrollment where new gene therapies are now approaching. Even though genetic analysis is catching on in the neuromuscular field, pitfalls and hurdles still remain and they should be taken into account by clinicians, as for example the use of next generation sequencing (NGS) where many single nucleotide variants of "unknown significance" can emerge, complicating the correct interpretation of genotype-phenotype relationship. Finally, when all efforts in terms of molecular analysis have been carried on, a portion of patients affected by NMDs still remain "not genetically defined". In the present review we analyze the evolution of genetic techniques, from Sanger sequencing to NGS, and we discuss "facilitations and hurdles" of genetic testing which must always be balanced by clinicians, in order to ensure a correct diagnostic definition, but taking always into account the benefit that the patient could obtain especially in terms of "therapeutic offer".
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Affiliation(s)
- Andrea Barp
- The NEMO Clinical Center in Milan, Neurorehabilitation Unit, University of Milan, Piazza Ospedale Maggiore 3, 20162 Milano, Italy
| | - Lorena Mosca
- Medical Genetics Unit, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162 Milano, Italy
| | - Valeria Ada Sansone
- The NEMO Clinical Center in Milan, Neurorehabilitation Unit, University of Milan, Piazza Ospedale Maggiore 3, 20162 Milano, Italy
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10
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Bonder MJ, Smail C, Gloudemans MJ, Frésard L, Jakubosky D, D'Antonio M, Li X, Ferraro NM, Carcamo-Orive I, Mirauta B, Seaton DD, Cai N, Vakili D, Horta D, Zhao C, Zastrow DB, Bonner DE, Wheeler MT, Kilpinen H, Knowles JW, Smith EN, Frazer KA, Montgomery SB, Stegle O. Identification of rare and common regulatory variants in pluripotent cells using population-scale transcriptomics. Nat Genet 2021; 53:313-321. [PMID: 33664507 PMCID: PMC7944648 DOI: 10.1038/s41588-021-00800-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 01/25/2021] [Indexed: 12/18/2022]
Abstract
Induced pluripotent stem cells (iPSCs) are an established cellular system to study the impact of genetic variants in derived cell types and developmental contexts. However, in their pluripotent state, the disease impact of genetic variants is less known. Here, we integrate data from 1,367 human iPSC lines to comprehensively map common and rare regulatory variants in human pluripotent cells. Using this population-scale resource, we report hundreds of novel colocalization events for human traits specific to iPSCs, and find increased power to identify rare regulatory variants compared with somatic tissues. Finally, we demonstrate how iPSCs enable the identification of causal genes for rare diseases.
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Affiliation(s)
- Marc Jan Bonder
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge, UK. .,European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany. .,Division of Computational Genomics and Systems Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Craig Smail
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA. .,Genomic Medicine Center, Children's Mercy Research Institute and Children's Mercy Kansas City, Kansas City, MO, USA.
| | - Michael J Gloudemans
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Laure Frésard
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - David Jakubosky
- Biomedical Sciences Graduate Program, University of California, San Diego, La Jolla, CA, USA.,Department of Biomedical Informatics, University of California, San Diego, La Jolla, CA, USA
| | - Matteo D'Antonio
- Department of Pediatrics and Rady Children's Hospital, University of California, San Diego, La Jolla, CA, USA
| | - Xin Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Nicole M Ferraro
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Ivan Carcamo-Orive
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Bogdan Mirauta
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge, UK
| | - Daniel D Seaton
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge, UK
| | - Na Cai
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge, UK.,Wellcome Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.,Helmholtz Pioneer Campus, Helmholtz Zentrum München, Neuherberg, Germany
| | - Dara Vakili
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK.,Faculty of Medicine, Imperial College London, London, UK
| | - Danilo Horta
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge, UK
| | - Chunli Zhao
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, USA
| | - Diane B Zastrow
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, USA
| | - Devon E Bonner
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, USA
| | | | | | | | | | - Matthew T Wheeler
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.,Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, USA
| | - Helena Kilpinen
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.,UCL Great Ormond Street Institute of Child Health, University College London, London, UK.,Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.,Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Joshua W Knowles
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Erin N Smith
- Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Kelly A Frazer
- Department of Pediatrics and Rady Children's Hospital, University of California, San Diego, La Jolla, CA, USA.,Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Stephen B Montgomery
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA. .,Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
| | - Oliver Stegle
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge, UK. .,European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany. .,Division of Computational Genomics and Systems Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany. .,Wellcome Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
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11
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Detection of aberrant gene expression events in RNA sequencing data. Nat Protoc 2021; 16:1276-1296. [PMID: 33462443 DOI: 10.1038/s41596-020-00462-5] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Accepted: 11/06/2020] [Indexed: 12/20/2022]
Abstract
RNA sequencing (RNA-seq) has emerged as a powerful approach to discover disease-causing gene regulatory defects in individuals affected by genetically undiagnosed rare disorders. Pioneering studies have shown that RNA-seq could increase the diagnosis rates over DNA sequencing alone by 8-36%, depending on the disease entity and tissue probed. To accelerate adoption of RNA-seq by human genetics centers, detailed analysis protocols are now needed. We present a step-by-step protocol that details how to robustly detect aberrant expression levels, aberrant splicing and mono-allelic expression in RNA-seq data using dedicated statistical methods. We describe how to generate and assess quality control plots and interpret the analysis results. The protocol is based on the detection of RNA outliers pipeline (DROP), a modular computational workflow that integrates all the analysis steps, can leverage parallel computing infrastructures and generates browsable web page reports.
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12
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Hartley T, Lemire G, Kernohan KD, Howley HE, Adams DR, Boycott KM. New Diagnostic Approaches for Undiagnosed Rare Genetic Diseases. Annu Rev Genomics Hum Genet 2020; 21:351-372. [DOI: 10.1146/annurev-genom-083118-015345] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Accurate diagnosis is the cornerstone of medicine; it is essential for informed care and promoting patient and family well-being. However, families with a rare genetic disease (RGD) often spend more than five years on a diagnostic odyssey of specialist visits and invasive testing that is lengthy, costly, and often futile, as 50% of patients do not receive a molecular diagnosis. The current diagnostic paradigm is not well designed for RGDs, especially for patients who remain undiagnosed after the initial set of investigations, and thus requires an expansion of approaches in the clinic. Leveraging opportunities to participate in research programs that utilize new technologies to understand RGDs is an important path forward for patients seeking a diagnosis. Given recent advancements in such technologies and international initiatives, the prospect of identifying a molecular diagnosis for all patients with RGDs has never been so attainable, but achieving this goal will require global cooperation at an unprecedented scale.
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Affiliation(s)
- Taila Hartley
- CHEO Research Institute, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada;, , , ,
| | - Gabrielle Lemire
- CHEO Research Institute, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada;, , , ,
- Department of Genetics, CHEO, Ottawa, Ontario K1H 8L1, Canada
| | - Kristin D. Kernohan
- CHEO Research Institute, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada;, , , ,
- Newborn Screening Ontario, CHEO, Ottawa, Ontario K1H 9M8, Canada
| | - Heather E. Howley
- CHEO Research Institute, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada;, , , ,
| | - David R. Adams
- Office of the Clinical Director, National Human Genome Research Institute and Undiagnosed Diseases Program, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Kym M. Boycott
- CHEO Research Institute, University of Ottawa, Ottawa, Ontario K1H 8L1, Canada;, , , ,
- Department of Genetics, CHEO, Ottawa, Ontario K1H 8L1, Canada
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13
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14
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Elsea SH, Solyom A, Martin K, Harmatz P, Mitchell J, Lampe C, Grant C, Selim L, Mungan NO, Guelbert N, Magnusson B, Sundberg E, Puri R, Kapoor S, Arslan N, DiRocco M, Zaki M, Ozen S, Mahmoud IG, Ehlert K, Hahn A, Gokcay G, Torcoletti M, Ferreira CR. ASAH1 pathogenic variants associated with acid ceramidase deficiency: Farber disease and spinal muscular atrophy with progressive myoclonic epilepsy. Hum Mutat 2020; 41:1469-1487. [PMID: 32449975 DOI: 10.1002/humu.24056] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 04/28/2020] [Accepted: 05/16/2020] [Indexed: 11/12/2022]
Abstract
Farber disease and spinal muscular atrophy with progressive myoclonic epilepsy are a spectrum of rare lysosomal storage disorders characterized by acid ceramidase deficiency (ACD), resulting from pathogenic variants in N-acylsphingosine amidohydrolase 1 (ASAH1). Other than simple listings provided in literature reviews, a curated, comprehensive list of ASAH1 mutations associated with ACD clinical phenotypes has not yet been published. This publication includes mutations in ASAH1 collected through the Observational and Cross-Sectional Cohort Study of the Natural History and Phenotypic Spectrum of Farber Disease (NHS), ClinicalTrials.gov identifier NCT03233841, in combination with an up-to-date curated list of published mutations. The NHS is the first to collect retrospective and prospective data on living and deceased patients with ACD presenting as Farber disease, who had or had not undergone hematopoietic stem cell transplantation. Forty-five patients representing the known clinical spectrum of Farber disease (living patients aged 1-28 years) were enrolled. The curation of known ASAH1 pathogenic variants using a single reference transcript includes 10 previously unpublished from the NHS and 63 that were previously reported. The publication of ASAH1 variants will be greatly beneficial to patients undergoing genetic testing in the future by providing a significantly expanded reference list of disease-causing variants.
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Affiliation(s)
- Sarah H Elsea
- Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | | | - Kirt Martin
- Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Paul Harmatz
- Pediatric Gastroenterolgy and Nutrition, UCSF Benioff Children's Hospital Oakland, Oakland, California
| | | | | | | | - Laila Selim
- Cairo University Children's Hospital, Cairo, Egypt
| | | | | | - Bo Magnusson
- Karolinska University Hospital, Stockholm, Sweden
| | | | - Ratna Puri
- Sir Ganga Ram Hospital, New Delhi, India
| | - Seema Kapoor
- Lok Nayak Hospital and Maulana Azad Medical College, New Delhi, India
| | - Nur Arslan
- Dokuz Eylul University Hospital, Izmir, Turkey
| | - Maja DiRocco
- Metabolic Diseases, Istituto Giannina Gaslini, Genoa, Italy
| | - Maha Zaki
- Clinical Genetics Department, National Research Center, Cairo, Egypt
| | - Seza Ozen
- Pediatric Rheumatology, Hacettepe University Hospital, Ankara, Turkey
| | | | | | - Andreas Hahn
- UKGM Universitätsklinikum Giessen, Giessen, Germany
| | | | | | - Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland
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15
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Role of Ceramidases in Sphingolipid Metabolism and Human Diseases. Cells 2019; 8:cells8121573. [PMID: 31817238 PMCID: PMC6952831 DOI: 10.3390/cells8121573] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 12/03/2019] [Accepted: 12/03/2019] [Indexed: 12/13/2022] Open
Abstract
Human pathologies such as Alzheimer’s disease, type 2 diabetes-induced insulin resistance, cancer, and cardiovascular diseases have altered lipid homeostasis. Among these imbalanced lipids, the bioactive sphingolipids ceramide and sphingosine-1 phosphate (S1P) are pivotal in the pathophysiology of these diseases. Several enzymes within the sphingolipid pathway contribute to the homeostasis of ceramide and S1P. Ceramidase is key in the degradation of ceramide into sphingosine and free fatty acids. In humans, five different ceramidases are known—acid ceramidase, neutral ceramidase, and alkaline ceramidase 1, 2, and 3—which are encoded by five different genes (ASAH1, ASAH2, ACER1, ACER2, and ACER3, respectively). Notably, the neutral ceramidase N-acylsphingosine amidohydrolase 2 (ASAH2) shows considerable differences between humans and animals in terms of tissue expression levels. Besides, the subcellular localization of ASAH2 remains controversial. In this review, we sum up the results obtained for identifying gene divergence, structure, subcellular localization, and manipulating factors and address the role of ASAH2 along with other ceramidases in human diseases.
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16
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Karam R, Conner B, LaDuca H, McGoldrick K, Krempely K, Richardson ME, Zimmermann H, Gutierrez S, Reineke P, Hoang L, Allen K, Yussuf A, Farber-Katz S, Rana HQ, Culver S, Lee J, Nashed S, Toppmeyer D, Collins D, Haynes G, Pesaran T, Dolinsky JS, Tippin Davis B, Elliott A, Chao E. Assessment of Diagnostic Outcomes of RNA Genetic Testing for Hereditary Cancer. JAMA Netw Open 2019; 2:e1913900. [PMID: 31642931 PMCID: PMC6820040 DOI: 10.1001/jamanetworkopen.2019.13900] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
IMPORTANCE Performing DNA genetic testing (DGT) for hereditary cancer genes is now a well-accepted clinical practice; however, the interpretation of DNA variation remains a challenge for laboratories and clinicians. Adding RNA genetic testing (RGT) enhances DGT by clarifying the clinical actionability of hereditary cancer gene variants, thus improving clinicians' ability to accurately apply strategies for cancer risk reduction and treatment. OBJECTIVE To evaluate whether RGT is associated with improvement in the diagnostic outcome of DGT and in the delivery of personalized cancer risk management for patients with hereditary cancer predisposition. DESIGN, SETTING, AND PARTICIPANTS Diagnostic study in which patients and/or families with inconclusive variants detected by DGT in genes associated with hereditary breast and ovarian cancer, Lynch syndrome, and hereditary diffuse gastric cancer sent blood samples for RGT from March 2016 to April 2018. Clinicians who ordered genetic testing and received a reclassification report for these variants were surveyed to assess whether RGT-related variant reclassifications changed clinical management of these patients. To quantify the potential number of tested individuals who could benefit from RGT, a cohort of 307 812 patients who underwent DGT for hereditary cancer were separately queried to identify variants predicted to affect splicing. Data analysis was conducted from March 2016 and September 2018. MAIN OUTCOMES AND MEASURES Variant reclassification outcomes following RGT, clinical management changes associated with RGT-related variant reclassifications, and the proportion of patients who would likely be affected by a concurrent DGT and RGT multigene panel testing approach. RESULTS In total, 93 if 909 eligible families (10.2%) submitted samples for RGT. Evidence from RGT clarified the interpretation of 49 of 56 inconclusive cases (88%) studied; 26 (47%) were reclassified as clinically actionable and 23 (41%) were clarified as benign. Variant reclassifications based on RGT results changed clinical management recommendations for 8 of 18 patients (44%) and 14 of 18 families (78%), based on responses from 18 of 45 clinicians (40%) surveyed. A total of 7265 of 307 812 patients who underwent DGT had likely pathogenic variants or variants of uncertain significance potentially affecting splicing, indicating that approximately 1 in 43 individuals could benefit from RGT. CONCLUSIONS AND RELEVANCE In this diagnostic study, conducting RNA testing resolved a substantial proportion of variants of uncertain significance in a cohort of individuals previously tested for cancer predisposition by DGT. Performing RGT might change the diagnostic outcome of at least 1 in 43 patients if performed in all individuals undergoing genetic evaluation for hereditary cancer.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Suzette Farber-Katz
- Ambry Genetics, Aliso Viejo, California
- now with Merck Research Laboratories, South San Francisco, California
| | - Huma Q. Rana
- Department of Medicine, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Samantha Culver
- Department of Medicine, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - John Lee
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Sarah Nashed
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick
| | - Deborah Toppmeyer
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick
| | | | | | | | | | | | | | - Elizabeth Chao
- Ambry Genetics, Aliso Viejo, California
- Department of Pediatrics, School of Medicine, University of California, Irvine
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17
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Frésard L, Smail C, Ferraro NM, Teran NA, Li X, Smith KS, Bonner D, Kernohan KD, Marwaha S, Zappala Z, Balliu B, Davis JR, Liu B, Prybol CJ, Kohler JN, Zastrow DB, Reuter CM, Fisk DG, Grove ME, Davidson JM, Hartley T, Joshi R, Strober BJ, Utiramerur S, Lind L, Ingelsson E, Battle A, Bejerano G, Bernstein JA, Ashley EA, Boycott KM, Merker JD, Wheeler MT, Montgomery SB. Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts. Nat Med 2019; 25:911-919. [PMID: 31160820 PMCID: PMC6634302 DOI: 10.1038/s41591-019-0457-8] [Citation(s) in RCA: 178] [Impact Index Per Article: 35.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Accepted: 04/15/2019] [Indexed: 02/08/2023]
Abstract
It is estimated that 350 million individuals worldwide suffer from rare diseases, which are predominantly caused by mutation in a single gene1. The current molecular diagnostic rate is estimated at 50%, with whole-exome sequencing (WES) among the most successful approaches2-5. For patients in whom WES is uninformative, RNA sequencing (RNA-seq) has shown diagnostic utility in specific tissues and diseases6-8. This includes muscle biopsies from patients with undiagnosed rare muscle disorders6,9, and cultured fibroblasts from patients with mitochondrial disorders7. However, for many individuals, biopsies are not performed for clinical care, and tissues are difficult to access. We sought to assess the utility of RNA-seq from blood as a diagnostic tool for rare diseases of different pathophysiologies. We generated whole-blood RNA-seq from 94 individuals with undiagnosed rare diseases spanning 16 diverse disease categories. We developed a robust approach to compare data from these individuals with large sets of RNA-seq data for controls (n = 1,594 unrelated controls and n = 49 family members) and demonstrated the impacts of expression, splicing, gene and variant filtering strategies on disease gene identification. Across our cohort, we observed that RNA-seq yields a 7.5% diagnostic rate, and an additional 16.7% with improved candidate gene resolution.
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Affiliation(s)
- Laure Frésard
- Department of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
| | - Craig Smail
- Biomedical Informatics Program, Stanford University, Stanford, CA, USA
| | - Nicole M Ferraro
- Biomedical Informatics Program, Stanford University, Stanford, CA, USA
| | - Nicole A Teran
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Xin Li
- Department of Pathology, School of Medicine, Stanford University, Stanford, CA, USA
| | - Kevin S Smith
- Department of Pathology, School of Medicine, Stanford University, Stanford, CA, USA
| | - Devon Bonner
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, USA
| | - Kristin D Kernohan
- Newborn Screening Ontario (NSO), Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
| | - Shruti Marwaha
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, USA
- Stanford Cardiovascular Institute, School of Medicine, Stanford University, Stanford, CA, USA
| | - Zachary Zappala
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Brunilda Balliu
- Department of Pathology, School of Medicine, Stanford University, Stanford, CA, USA
| | - Joe R Davis
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Boxiang Liu
- Department of Biology, School of Humanities and Sciences, Stanford University, Stanford, CA, USA
| | - Cameron J Prybol
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Jennefer N Kohler
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, USA
| | - Diane B Zastrow
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, USA
| | - Chloe M Reuter
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, USA
| | - Dianna G Fisk
- Stanford Medicine Clinical Genomics Program, School of Medicine, Stanford University, Stanford, CA, USA
| | - Megan E Grove
- Stanford Medicine Clinical Genomics Program, School of Medicine, Stanford University, Stanford, CA, USA
| | - Jean M Davidson
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, USA
| | - Taila Hartley
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Ruchi Joshi
- Stanford Medicine Clinical Genomics Program, School of Medicine, Stanford University, Stanford, CA, USA
| | - Benjamin J Strober
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Sowmithri Utiramerur
- Stanford Medicine Clinical Genomics Program, School of Medicine, Stanford University, Stanford, CA, USA
| | - Lars Lind
- Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala, Sweden
| | - Erik Ingelsson
- Stanford Cardiovascular Institute, School of Medicine, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Cardiovascular Medicine, School of Medicine, Stanford University, Stanford, CA, USA
| | - Alexis Battle
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Gill Bejerano
- Department of Computer Science, Stanford University, Stanford, CA, USA
- Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA
- Department of Developmental Biology, School of Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA
| | - Jonathan A Bernstein
- Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Euan A Ashley
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Cardiovascular Medicine, School of Medicine, Stanford University, Stanford, CA, USA
| | - Kym M Boycott
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Jason D Merker
- Department of Pathology, School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Medicine Clinical Genomics Program, School of Medicine, Stanford University, Stanford, CA, USA
- Departments of Pathology and Laboratory Medicine & Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina School Medicine, Chapel Hill, NC, USA
| | - Matthew T Wheeler
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, USA
- Stanford Cardiovascular Institute, School of Medicine, Stanford University, Stanford, CA, USA
| | - Stephen B Montgomery
- Department of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA.
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Abstract
High-throughput sequencing has ushered in a diversity of approaches for identifying genetic variants and understanding genome structure and function. When applied to individuals with rare genetic diseases, these approaches have greatly accelerated gene discovery and patient diagnosis. Over the past decade, exome sequencing has emerged as a comprehensive and cost-effective approach to identify pathogenic variants in the protein-coding regions of the genome. However, for individuals in whom exome-sequencing fails to identify a pathogenic variant, we discuss recent advances that are helping to reduce the diagnostic gap.
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Affiliation(s)
- Laure Frésard
- Department of Pathology, Stanford University, Stanford, California 94305, USA
| | - Stephen B Montgomery
- Department of Pathology, Stanford University, Stanford, California 94305, USA.,Department of Genetics, School of Medicine, Stanford, California 94305, USA
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19
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A new case of SMA phenotype without epilepsy due to biallelic variants in ASAH1. Eur J Hum Genet 2018; 27:337-339. [PMID: 30291339 DOI: 10.1038/s41431-018-0250-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 08/03/2018] [Accepted: 08/09/2018] [Indexed: 11/08/2022] Open
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20
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Myers KA, Johnstone DL, Dyment DA. Epilepsy genetics: Current knowledge, applications, and future directions. Clin Genet 2018; 95:95-111. [PMID: 29992546 DOI: 10.1111/cge.13414] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2018] [Revised: 07/03/2018] [Accepted: 07/06/2018] [Indexed: 12/12/2022]
Abstract
The rapid pace of disease gene discovery has resulted in tremendous advances in the field of epilepsy genetics. Clinical testing with comprehensive gene panels, exomes, and genomes are now available and have led to higher diagnostic rates and insights into the underlying disease processes. As such, the contribution to the care of patients by medical geneticists, neurogeneticists and genetic counselors are significant; the dysmorphic examination, the necessary pre- and post-test counseling, the selection of the appropriate next-generation sequencing-based test(s), and the interpretation of sequencing results require a care provider to have a comprehensive working knowledge of the strengths and limitations of the available testing technologies. As the underlying mechanisms of the encephalopathies and epilepsies are better understood, there may be opportunities for the development of novel therapies based on an individual's own specific genotype. Drug screening with in vitro and in vivo models of epilepsy can potentially facilitate new treatment strategies. The future of epilepsy genetics will also probably include other-omic approaches such as transcriptomes, metabolomes, and the expanded use of whole genome sequencing to further improve our understanding of epilepsy and provide better care for those with the disease.
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Affiliation(s)
- K A Myers
- Department of Pediatrics, University of McGill, Montreal, Canada.,Research Institute of the McGill University Health Centre, Montreal, Canada
| | - D L Johnstone
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada
| | - D A Dyment
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.,Department of Genetics, Children's Hospital of Eastern Ontario, Ottawa, Canada
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21
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Yu FPS, Amintas S, Levade T, Medin JA. Acid ceramidase deficiency: Farber disease and SMA-PME. Orphanet J Rare Dis 2018; 13:121. [PMID: 30029679 PMCID: PMC6053731 DOI: 10.1186/s13023-018-0845-z] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Accepted: 06/14/2018] [Indexed: 12/29/2022] Open
Abstract
Acid ceramidase (ACDase) deficiency is a spectrum of disorders that includes a rare lysosomal storage disorder called Farber disease (FD) and a rare epileptic disorder called spinal muscular atrophy with progressive myoclonic epilepsy (SMA-PME). Both disorders are caused by mutations in the ASAH1 gene that encodes the lysosomal hydrolase that breaks down the bioactive lipid ceramide. To date, there have been fewer than 200 reported cases of FD and SMA-PME in the literature. Typical textbook manifestations of classical FD include the formation of subcutaneous nodules, accumulation of joint contractures, and development of a hoarse voice. In reality, however, the clinical presentation is much broader. Patients may develop severe pathologies leading to death in infancy or may develop attenuated forms of the disorder wherein they are often misdiagnosed or not diagnosed until adulthood. A clinical variability also exists for SMA-PME, in which patients develop progressive muscle weakness and seizures. Currently, there is no known cure for FD or for SMA-PME. The main treatment is symptom management. In rare cases, treatment may include surgery or hematopoietic stem cell transplantation. Research using disease models has provided insights into the pathology as well as the role of ACDase in the development of these conditions. Recent studies have highlighted possible biomarkers for an effective diagnosis of ACDase deficiency. Ongoing work is being conducted to evaluate the use of recombinant human ACDase (rhACDase) for the treatment of FD. Finally, gene therapy strategies for the treatment of ACDase deficiency are actively being pursued. This review highlights the broad clinical definition and outlines key studies that have improved our understanding of inherited ACDase deficiency-related conditions.
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Affiliation(s)
- Fabian P S Yu
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Samuel Amintas
- Laboratoire de Biochimie Métabolique, Institut Fédératif de Biologie, CHU Purpan, Toulouse, France
| | - Thierry Levade
- Laboratoire de Biochimie Métabolique, Institut Fédératif de Biologie, CHU Purpan, Toulouse, France. .,INSERM UMR1037 CRCT, Université de Toulouse, Toulouse, France.
| | - Jeffrey A Medin
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada. .,Departments of Pediatrics and Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA.
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22
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Fernández-Marmiesse A, Gouveia S, Couce ML. NGS Technologies as a Turning Point in Rare Disease Research , Diagnosis and Treatment. Curr Med Chem 2018; 25:404-432. [PMID: 28721829 PMCID: PMC5815091 DOI: 10.2174/0929867324666170718101946] [Citation(s) in RCA: 92] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2017] [Revised: 06/19/2017] [Accepted: 07/14/2017] [Indexed: 01/17/2023]
Abstract
Approximately 25-50 million Americans, 30 million Europeans, and 8% of the Australian population have a rare disease. Rare diseases are thus a common problem for clinicians and account for enormous healthcare costs worldwide due to the difficulty of establishing a specific diagnosis. In this article, we review the milestones achieved in our understanding of rare diseases since the emergence of next-generation sequencing (NGS) technologies and analyze how these advances have influenced research and diagnosis. The first half of this review describes how NGS has changed diagnostic workflows and provided an unprecedented, simple way of discovering novel disease-associated genes. We focus particularly on metabolic and neurodevelopmental disorders. NGS has enabled cheap and rapid genetic diagnosis, highlighted the relevance of mosaic and de novo mutations, brought to light the wide phenotypic spectrum of most genes, detected digenic inheritance or the presence of more than one rare disease in the same patient, and paved the way for promising new therapies. In the second part of the review, we look at the limitations and challenges of NGS, including determination of variant causality, the loss of variants in coding and non-coding regions, and the detection of somatic mosaicism variants and epigenetic mutations, and discuss how these can be overcome in the near future.
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Affiliation(s)
- Ana Fernández-Marmiesse
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Sofía Gouveia
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - María L. Couce
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
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