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Graefe ASL, Hübner MR, Rehburg F, Sander S, Klopfenstein SAI, Alkarkoukly S, Grönke A, Weyersberg A, Danis D, Zschüntzsch J, Nyoungui EF, Wiegand S, Kühnen P, Robinson PN, Beyan O, Thun S. An ontology-based rare disease common data model harmonising international registries, FHIR, and Phenopackets. Sci Data 2025; 12:234. [PMID: 39922817 PMCID: PMC11807222 DOI: 10.1038/s41597-025-04558-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2024] [Accepted: 01/29/2025] [Indexed: 02/10/2025] Open
Abstract
Although rare diseases (RDs) affect over 260 million individuals worldwide, low data quality and scarcity challenge effective care and research. This work aims to harmonise the Common Data Set by European Rare Disease Registry Infrastructure, Health Level 7 Fast Healthcare Interoperability Base Resources, and the Global Alliance for Genomics and Health Phenopacket Schema into a novel rare disease common data model (RD-CDM), laying the foundation for developing international RD-CDMs aligned with these data standards. We developed a modular-based GitHub repository and documentation to account for flexibility, extensions and further development. Recommendations on the model's cardinalities are given, inviting further refinement and international collaboration. An ontology-based approach was selected to find a common denominator between the semantic and syntactic data standards. Our RD-CDM version 2.0.0 comprises 78 data elements, extending the ERDRI-CDS by 62 elements with previous versions implemented in four German university hospitals capturing real world data for development and evaluation. We identified three categories for evaluation: Medical Data Granularity, Clinical Reasoning and Medical Relevance, and Interoperability and Harmonisation.
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Affiliation(s)
- Adam S L Graefe
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
- Institute for Biomedical Informatics, University Hospital Cologne, Cologne, Germany.
| | - Miriam R Hübner
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Filip Rehburg
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Steffen Sander
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | | | - Samer Alkarkoukly
- Medical Data Integration Center (MeDIC), University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Ana Grönke
- Medical Data Integration Center (MeDIC), University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Annic Weyersberg
- Department of Paediatrics, University Hospital Cologne, Cologne, Germany
| | - Daniel Danis
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jana Zschüntzsch
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
| | - Elisabeth F Nyoungui
- Department of Medical Informatics, University Medical Center Goettingen, Goettingen, Germany
| | - Susanna Wiegand
- Department of Pediatric Endocrinology and Diabetology, Charité University Hospital, Berlin, Germany
- Center for Chronically Sick Children, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Peter Kühnen
- Department of Pediatric Endocrinology and Diabetology, Charité University Hospital, Berlin, Germany
- Berlin Center for Rare Diseases - Charité University Hospital, Berlin, Germany
- Deutsches Zentrum für Kinder- und Jugendgesundheit (DZKJ), Partner Site Berlin, Berlin, Germany
| | - Peter N Robinson
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA
| | - Oya Beyan
- Institute for Biomedical Informatics, University Hospital Cologne, Cologne, Germany
| | - Sylvia Thun
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
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2
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Abu Shtaya A, Orenstein N, Bazak L, Lidzbarsky G, Kalis ML, Amarilyo G, Sofrin-Drucker E, Jaron R, Shahar NR, Gilad NK, Basel-Salmon L. High frequency of MEFV disease-causing variants in children with very-early-onset inflammatory bowel disease. Pediatr Res 2025; 97:268-272. [PMID: 38734812 DOI: 10.1038/s41390-024-03242-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 02/06/2024] [Accepted: 03/15/2024] [Indexed: 05/13/2024]
Abstract
BACKGROUND Biological similarities between inflammatory bowel disease (IBD) and familial Mediterranean fever (FMF) have been described in humans and animal models suggesting a possible common genetic basis. FMF is caused by variants in the MEFV gene which encodes pyrin, an immune regulator. This study aimed to investigate the carrier rate of disease-causing MEFV variants in children of different ethnicities diagnosed with very-early-onset IBD (VEO-IBD). METHODS The study included 23 children diagnosed with VEO-IBD who had undergone whole exome sequencing. The exomes were evaluated for MEFV monoallelic and biallelic disease-causing variants and compared to exome sequencing data of 250 probands with suspected monogenic diseases other than IBD. RESULTS Of the 23 children diagnosed with VEO-IBD, 12 (52%) were carriers of at least one MEFV disease-causing variant, which was threefold higher than in individuals without IBD. The most frequent variants identified were p.M694V and p.E148Q (42% each). The allelic frequency of MEFV variants was found to be higher across the VEO-IBD group in 13 of 14 ethnicities compared to the control group. CONCLUSION The study suggests that disease-causing variants in the MEFV gene should be sought in cases of VEO-IBD. However, the clinical importance of this finding is yet to be defined. IMPACT There are biological similarities between inflammatory bowel disease and familial Mediterranean fever, suggesting a possible genetic relationship. Children less than 6 years old clinically diagnosed with inflammatory bowel disease have a threefold higher rate of disease-causing variants in the MEFV gene than controls. Monogenic testing in children with very-early-onset inflammatory bowel disease should include a search for MEFV variants.
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Affiliation(s)
- Aasem Abu Shtaya
- Recanati Genetic Institute, Rabin Medical Center-Beilinson Hospital, Petach Tikva, Israel.
- Unit of Gastroenterology, Carmel Medical Center, Haifa, Israel.
| | - Naama Orenstein
- Pediatric Genetics Unit, Schneider Children's Medical Center of Israel, Petach Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Lily Bazak
- Recanati Genetic Institute, Rabin Medical Center-Beilinson Hospital, Petach Tikva, Israel
| | - Gabriel Lidzbarsky
- Recanati Genetic Institute, Rabin Medical Center-Beilinson Hospital, Petach Tikva, Israel
| | - Marina Lifshitc Kalis
- Recanati Genetic Institute, Rabin Medical Center-Beilinson Hospital, Petach Tikva, Israel
| | - Gil Amarilyo
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Rheumatology Department, Schneider Children's Medical Centre, Petach Tikvah, Israel
| | - Efrat Sofrin-Drucker
- Pediatric Genetics Unit, Schneider Children's Medical Center of Israel, Petach Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ranit Jaron
- Pediatric Genetics Unit, Schneider Children's Medical Center of Israel, Petach Tikva, Israel
| | - Noa Ruhrman Shahar
- Recanati Genetic Institute, Rabin Medical Center-Beilinson Hospital, Petach Tikva, Israel
| | - Nesia Kropach Gilad
- Pediatric Genetics Unit, Schneider Children's Medical Center of Israel, Petach Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Lina Basel-Salmon
- Recanati Genetic Institute, Rabin Medical Center-Beilinson Hospital, Petach Tikva, Israel
- Pediatric Genetics Unit, Schneider Children's Medical Center of Israel, Petach Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Felsenstein Medical Research Center, Petach Tikva, Israel
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3
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Basel-Salmon L, Brabbing-Goldstein D. Fetal whole genome sequencing as a clinical diagnostic tool: Advantages, limitations and pitfalls. Best Pract Res Clin Obstet Gynaecol 2024; 97:102549. [PMID: 39259994 DOI: 10.1016/j.bpobgyn.2024.102549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Revised: 06/25/2024] [Accepted: 09/02/2024] [Indexed: 09/13/2024]
Abstract
Genome-wide sequencing, which includes exome sequencing and genome sequencing, has revolutionized the diagnostics of genetic disorders in both postnatal and prenatal settings. Compared to exome sequencing, genome sequencing enables the detection of many additional types of genomic variants, although this depends on the bioinformatics pipelines used. Variant classification might vary among laboratories. In the prenatal setting, variant classification may change if new fetal phenotypic features emerge as the pregnancy progresses. There is still a need to evaluate the incremental diagnostic yield of genome sequencing compared to exome sequencing in the prenatal setting. This article reviews the advantages and limitations of genome sequencing, with an emphasis on fetal diagnostics.
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Affiliation(s)
- Lina Basel-Salmon
- Raphael Recanati Genetic Institute, Rabin Medical Center - Beilinson Hospital, Petach Tikva 4941492, Israel; Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel; Felsenstein Medical Research Center, Petach Tikva, 4920235, Israel.
| | - Dana Brabbing-Goldstein
- Raphael Recanati Genetic Institute, Rabin Medical Center - Beilinson Hospital, Petach Tikva 4941492, Israel; Ultrasound Unit, The Helen Schneider Women's Hospital, Rabin Medical Center - Beilinson Hospital, Petach Tikva 4941492, Israel
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Kumar RD, Vossaert L, Bi W, Owen N, Rau RE, Helber HL, Sasa G, Reuther J, Roy A, Fisher KE. Brain abscesses, neutropenia, and B-ALL: Multiple testing modalities required to confirm PDCD10 and ETV6 dual diagnoses. Cancer Genet 2024; 288-289:5-9. [PMID: 39178500 DOI: 10.1016/j.cancergen.2024.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 07/29/2024] [Accepted: 08/12/2024] [Indexed: 08/26/2024]
Abstract
Recognition of patients with multiple diagnoses, and the unique challenges they pose to clinicians and laboratorians, is increasing rapidly as genome-wide genetic testing grows in prevalence. We describe a unique patient with dual diagnoses of PDCD10-related cerebral cavernous malformations and ETV6-related thrombocytopenia with associated neutropenia. She presented with brain abscesses as an infant, which is highly atypical for these disorders in isolation. Confirming her diagnoses depended on thorough phenotyping both during and after her acute illness. Furthermore, the causative variant in ETV6 is a novel single-exon deletion that required multiple modalities with manual review to confirm, including unique use of polymorphic nucleotides in trio exome data. She illustrates the special challenges of patients with multiple diagnoses, and the multiple tools clinicians and laboratorians must use to treat them.
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Affiliation(s)
- Runjun D Kumar
- Department of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, USA
| | - Liesbeth Vossaert
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Baylor Genetics Laboratories, Houston, TX, USA
| | - Weimin Bi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Baylor Genetics Laboratories, Houston, TX, USA
| | - Nichole Owen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Baylor Genetics Laboratories, Houston, TX, USA
| | - Rachel E Rau
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
| | - Hannah L Helber
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
| | - Ghadir Sasa
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
| | - Jacquelyn Reuther
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA
| | - Angshumoy Roy
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA; Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA; Department of Pathology, Texas Children's Hospital, Houston, TX, USA
| | - Kevin E Fisher
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA; Department of Pathology, Texas Children's Hospital, Houston, TX, USA.
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Basel-Salmon L. Phenotypic compatibility and specificity in genomic variant classification. Eur J Hum Genet 2024; 32:471-473. [PMID: 38351291 PMCID: PMC11061282 DOI: 10.1038/s41431-024-01554-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 05/02/2024] Open
Affiliation(s)
- Lina Basel-Salmon
- Raphael Recanati Genetic Institute, Rabin Medical Center - Beilinson Hospital, Petach Tikva, 4941492, Israel.
- Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel.
- Felsenstein Medical Research Center, Petach Tikva, 4920235, Israel.
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Cavalli A, Caraffi SG, Rizzi S, Trimarchi G, Napoli M, Frattini D, Spagnoli C, Garavelli L, Fusco C. Heterozygous truncating variant of TAOK1 in a boy with periventricular nodular heterotopia: a case report and literature review of TAOK1-related neurodevelopmental disorders. BMC Med Genomics 2024; 17:68. [PMID: 38443934 PMCID: PMC10916022 DOI: 10.1186/s12920-024-01840-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 02/28/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Thousand and one amino-acid kinase 1 (TAOK1) encodes the MAP3K protein kinase TAO1, which has recently been displayed to be essential for neuronal maturation and cortical differentiation during early brain development. Heterozygous variants in TAOK1 have been reported in children with neurodevelopmental disorders, with or without macrocephaly, hypotonia and mild dysmorphic traits. Literature reports lack evidence of neuronal migration disorders in TAOK1 patients, although studies in animal models suggest this possibility. CASE PRESENTATION We provide a clinical description of a child with a neurodevelopmental disorder due to a novel TAOK1 truncating variant, whose brain magnetic resonance imaging displays periventricular nodular heterotopia. CONCLUSIONS To our knowledge, this is the first report of a neuronal migration disorder in a patient with a TAOK1-related neurodevelopmental disorder, thus supporting the hypothesized pathogenic mechanisms of TAOK1 defects.
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Affiliation(s)
- Anna Cavalli
- Child Neurology and Psychiatry Unit, Dipartimento Materno-Infantile, Arcispedale Santa Maria Nuova, Azienda USL-IRCCS di Reggio Emilia, 42123, Reggio Emilia, Italy.
| | - Stefano Giuseppe Caraffi
- Medical Genetics Unit, Dipartimento Materno-Infantile, Arcispedale Santa Maria Nuova, Azienda USL-IRCCS di Reggio Emilia, 42123, Reggio Emilia, Italy
| | - Susanna Rizzi
- Child Neurology and Psychiatry Unit, Dipartimento Materno-Infantile, Arcispedale Santa Maria Nuova, Azienda USL-IRCCS di Reggio Emilia, 42123, Reggio Emilia, Italy
| | - Gabriele Trimarchi
- Medical Genetics Unit, Dipartimento Materno-Infantile, Arcispedale Santa Maria Nuova, Azienda USL-IRCCS di Reggio Emilia, 42123, Reggio Emilia, Italy
| | - Manuela Napoli
- Neuroradiology Unit, Arcispedale santa Maria Nuova, Azienda USL-IRCCS di Reggio Emilia, 42123, Reggio Emilia, Italy
| | - Daniele Frattini
- Child Neurology and Psychiatry Unit, Dipartimento Materno-Infantile, Arcispedale Santa Maria Nuova, Azienda USL-IRCCS di Reggio Emilia, 42123, Reggio Emilia, Italy
| | - Carlotta Spagnoli
- Child Neurology and Psychiatry Unit, Dipartimento Materno-Infantile, Arcispedale Santa Maria Nuova, Azienda USL-IRCCS di Reggio Emilia, 42123, Reggio Emilia, Italy
| | - Livia Garavelli
- Medical Genetics Unit, Dipartimento Materno-Infantile, Arcispedale Santa Maria Nuova, Azienda USL-IRCCS di Reggio Emilia, 42123, Reggio Emilia, Italy
| | - Carlo Fusco
- Child Neurology and Psychiatry Unit, Dipartimento Materno-Infantile, Arcispedale Santa Maria Nuova, Azienda USL-IRCCS di Reggio Emilia, 42123, Reggio Emilia, Italy
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Nakhleh Francis Y, Hershkovitz T, Ekhilevitch N, Habib C, Ravid S, Tal G, Schertz M, Mory A, Zinger A, Baris Feldman H, Zaid R, Paperna T, Weiss K. Publicly funded exome sequencing for outpatients with neurodevelopmental disorders demonstrates a high rate of unexpected findings impacting medical management. GENETICS IN MEDICINE OPEN 2023; 1:100828. [PMID: 39669259 PMCID: PMC11613680 DOI: 10.1016/j.gimo.2023.100828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 07/31/2023] [Accepted: 07/31/2023] [Indexed: 12/14/2024]
Abstract
Purpose Exome sequencing (ES) is a powerful tool that facilitates the diagnosis of patients with rare Mendelian syndromes. In 2018 the Israeli Ministry of Health initiated a national pilot program that funds ES for outpatients with global developmental delay (GDD). Here, we describe the 3-year impact of this program on patient care in a single tertiary hospital. Methods From 2018 to 2020, trio ES was performed on 170 participants fulfilling Israeli Ministry of Health criteria: (1) moderate to severe GDD and (2) mild GDD with epilepsy or a major congenital anomaly. We retrospectively analyzed this cohort. Results A diagnosis was achieved in 74 individuals (43%). There were 82 clinically significant variants, the majority being novel. Consanguinity was reported in 22% and was not associated with a higher diagnostic rate. The presence of autism spectrum was associated with a lower diagnostic rate of 8/33 (24%). Autosomal dominant inheritance was identified in 14% of participants, and the parental phenotype ranged between fully affected and asymptomatic. Among the diagnosed participants, 16% had an unexpected diagnosis that did not fit the typical clinical presentation. In 9%, the diagnosis changed short-term active clinical management, in 19%, the surveillance recommendations, and in 23%, the family-focused outcomes. Conclusion The introduction of a national program that funds ES for GDD has transformed patient care, leading to a significant effect on medical management and treatment. The high rate of an unexpected inheritance mode and variable phenotypes emphasizes the diagnostic complexity of neurodevelopmental disorders and the strength of a non-targeted approach.
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Affiliation(s)
- Yara Nakhleh Francis
- Department of obstetrics and gynecology, Galilee medical center, Nahariya, Israel
- The Faculty of Medicine in the Galilee, Bar-Ilan University, Safed, Israel
| | - Tova Hershkovitz
- The Genetics Institute, Rambam Health Care Campus, Haifa, Israel
- The Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Nina Ekhilevitch
- The Genetics Institute, Rambam Health Care Campus, Haifa, Israel
| | - Clair Habib
- The Genetics Institute, Rambam Health Care Campus, Haifa, Israel
| | - Sarit Ravid
- Pediatric neurology unit, Rambam Health Care Campus, Haifa, Israel
| | - Galit Tal
- The Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Metabolic Clinic, Ruth Rappaport Children’s Hospital, Rambam Health Care Campus, Haifa, Israel
| | - Mitchell Schertz
- The Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Child Development and Pediatric Neurology Service, Meuhedet, Tel Aviv, Israel
| | - Adi Mory
- The Genetics Institute, Rambam Health Care Campus, Haifa, Israel
- Current address: The Genetics Institute, Tel Aviv Sourasky Medical Center Tel Aviv, Israel
| | - Amihood Zinger
- Community Genetics, Public Health Services, Ministry of Health, Jerusalem, Israel
| | - Hagit Baris Feldman
- The Genetics Institute, Rambam Health Care Campus, Haifa, Israel
- Current address: The Genetics Institute, Tel Aviv Sourasky Medical Center Tel Aviv, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Rinat Zaid
- The Genetics Institute, Rambam Health Care Campus, Haifa, Israel
| | - Tamar Paperna
- The Genetics Institute, Rambam Health Care Campus, Haifa, Israel
| | - Karin Weiss
- The Genetics Institute, Rambam Health Care Campus, Haifa, Israel
- The Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
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Fellner A, Goldberg Y, Basel-Salmon L. Ordering genetic testing by neurologists: points to consider. J Neurol 2023:10.1007/s00415-023-11758-3. [PMID: 37154893 DOI: 10.1007/s00415-023-11758-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 04/28/2023] [Accepted: 04/29/2023] [Indexed: 05/10/2023]
Abstract
A significant challenge limiting the comprehensive utilization of genomic medicine is the lack of timely access to genetics specialists. Although neurologists see patients for whom genetic testing should be considered, the knowledge regarding the choice of the optimal genetic test for each case and the management of the test results are out of the scope of their everyday practice. In this review, we provide a step-by-step guide for non-geneticist physicians through the decision-making process when ordering diagnostic genetic testing for monogenic neurological diseases and when dealing with their results.
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Affiliation(s)
- Avi Fellner
- The Neurogenetics Clinic, Raphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Campus, Petah Tikva, Israel.
| | - Yael Goldberg
- Raphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Campus, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Lina Basel-Salmon
- Raphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Campus, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Felsenstein Medical Research Center, Tel-Aviv University, Tel-Aviv, Israel
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Basel-Salmon L, Ruhrman-Shahar N, Orenstein N, Levy M, Lidzbarsky GA, Batzir NA, Lifshitc-Kalis M, Farage-Barhom S, Abel G, Petasny M, Brabbing-Goldstein D, Fellner A, Bazak L. Clinically actionable incidental and secondary parental genomic findings after proband exome sequencing: Yield and dilemmas. GENETICS IN MEDICINE OPEN 2023; 1:100813. [PMID: 39669250 PMCID: PMC11613716 DOI: 10.1016/j.gimo.2023.100813] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 04/21/2023] [Accepted: 04/21/2023] [Indexed: 12/14/2024]
Abstract
Purpose Exome sequencing (ES) could detect pathogenic variants that are unrelated to the test indication, including findings that may have an impact for patients considering conception/reproduction (reproduction-related findings [RRFs]), deliberately searched secondary findings (SFs), and incidental findings (IFs). We aimed to examine the detection rate of clinically actionable findings and to present counseling dilemmas in 840 parents of probands undergoing clinical trio ES testing. Methods RRFs/IFs/SFs were actively searched for in the parents as part of ES data analysis. Variants were filtered by frequency, mode of inheritance, ClinVar classification, presence in local pathogenic variant databases, and protein-truncating effect. Results In 14 of 420 families (3.3%), 15 RRFs were detected. Shared parental heterozygous status for autosomal recessive disorders was identified in 23.3% of consanguineous and 1.8% of nonconsanguineous couples. SFs were found in 22 of 840 individuals (2.6%), including 15 variants (7 founder variants) in cancer-predisposing genes and 4 in cardiac disease-related genes. IFs were found in 3 individuals without reported symptoms. Overall, variants of potential medical importance were detected in 9.3% of families. Challenges related to the decision whether to report variants included unreported parental phenotype, presymptomatic testing, variable disease expressivity, potential medical implications for children who are already born, and medicolegal aspects. Conclusion Active search for RRFs, IFs, and SFs yields a high rate of findings, which may contribute to individual medical care in parents of probands undergoing ES. A structured approach to overcome the challenges associated with reporting these findings should be considered before such an active search can be broadly adopted in clinical genomic data analysis.
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Affiliation(s)
- Lina Basel-Salmon
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel
- Pediatric Genetics Unit, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
- Felsenstein Medical Research Center, Tel Aviv University, Tel-Aviv, Israel
| | - Noa Ruhrman-Shahar
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel
| | - Naama Orenstein
- Pediatric Genetics Unit, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel
| | - Michal Levy
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
| | | | - Nurit A. Batzir
- Pediatric Genetics Unit, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel
| | | | - Sarit Farage-Barhom
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel
| | - Gali Abel
- Pediatric Genetics Unit, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel
| | - Mayra Petasny
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel
| | | | - Avi Fellner
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel
| | - Lily Bazak
- The Raphael Recanati Genetics Institute, Rabin Medical Center, Petah Tikva, Israel
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Fu F, Li R, Yu Q, Wang D, Deng Q, Li L, Lei T, Chen G, Nie Z, Yang X, Han J, Pan M, Zhen L, Zhang Y, Jing X, Li F, Li F, Zhang L, Yi C, Li Y, Lu Y, Zhou H, Cheng K, Li J, Xiang L, Zhang J, Tang S, Fang P, Li D, Liao C. Application of exome sequencing for prenatal diagnosis of fetal structural anomalies: clinical experience and lessons learned from a cohort of 1618 fetuses. Genome Med 2022; 14:123. [PMID: 36307859 PMCID: PMC9615232 DOI: 10.1186/s13073-022-01130-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 10/19/2022] [Indexed: 11/29/2022] Open
Abstract
Background Exome sequencing (ES) is becoming more widely available in prenatal diagnosis. However, data on its clinical utility and integration into clinical management remain limited in practice. Herein, we report our experience implementing prenatal ES (pES) in a large cohort of fetuses with anomalies detected by ultrasonography using a hospital-based in-house multidisciplinary team (MDT) facilitated by a three-step genotype-driven followed by phenotype-driven analysis framework. Methods We performed pES in 1618 fetal cases with positive ultrasound findings but negative for karyotyping and chromosome microarray analysis between January 2014 and October 2021, including both retrospective (n=565) and prospective (n=1053) cohorts. The diagnostic efficiency and its correlation to organ systems involved, phenotypic spectrum, and the clinical impacts of pES results on pregnancy outcomes were analyzed. Results A genotype-driven followed by phenotype-driven three-step approach was carried out in all trio pES. Step 1, a genotype-driven analysis resulted in a diagnostic rate of 11.6% (187/1618). Step 2, a phenotype-driven comprehensive analysis yielded additional diagnostic findings for another 28 cases (1.7%; 28/1618). In the final step 3, data reanalyses based on new phenotypes and/or clinical requests found molecular diagnosis in 14 additional cases (0.9%; 14/1618). Altogether, 229 fetal cases (14.2%) received a molecular diagnosis, with a higher positive rate in the retrospective than the prospective cohort (17.3% vs. 12.4%, p<0.01). The diagnostic rates were highest in fetuses with skeletal anomalies (30.4%) and multiple organ involvements (25.9%), and lowest in fetuses with chest anomalies (0%). In addition, incidental and secondary findings with childhood-onset disorders were detected in 11 (0.7%) cases. Furthermore, we described the prenatal phenotypes for the first time for 27 gene-associated conditions (20.0%, 27/135) upon a systematic analysis of the diagnosed cases and expanded the phenotype spectrum for 26 (19.3%) genes where limited fetal phenotypic information was available. In the prospective cohort, the combined prenatal ultrasound and pES results had significantly impacted the clinical decisions (61.5%, 648/1053). Conclusions The genotype-driven approach could identify about 81.7% positive cases (11.6% of the total cohort) with the initial limited fetal phenotype information considered. The following two steps of phenotype-driven analysis and data reanalyses helped us find the causative variants in an additional 2.6% of the entire cohort (18.3% of all positive findings). Our extensive phenotype analysis on a large number of molecularly confirmed prenatal cases had greatly enriched our current knowledge on fetal phenotype-genotype correlation, which may guide more focused prenatal ultrasound in the future. This is by far the largest pES cohort study that combines a robust trio sequence data analysis, systematic phenotype-genotype correlation, and well-established MDT in a single prenatal clinical setting. This work underlines the value of pES as an essential component in prenatal diagnosis in guiding medical management and parental decision making. Supplementary Information The online version contains supplementary material available at 10.1186/s13073-022-01130-x.
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11
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Yu L, Yang C, Shang N, Ding H, Zhu J, Zhu Y, Tan H, Zhang Y. Paternal De Novo Variant of TAOK1 in a Fetus With Structural Brain Abnormalities. Front Genet 2022; 13:836853. [PMID: 35928450 PMCID: PMC9343781 DOI: 10.3389/fgene.2022.836853] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 05/30/2022] [Indexed: 11/13/2022] Open
Abstract
A dilated lateral ventricle is a relatively common finding on prenatal ultrasound, and the causes are complex. We aimed to explore the etiology of a fetus with a dilated lateral ventricle. Trio whole-exome sequencing was performed to detect causative variants. A de novo variant of TAOK1 (NM_020791.2: c.227A>G) was detected in the proband and evaluated for potential functional impacts using a variety of prediction tools. Droplet digital polymerase chain reaction was used to exclude the parental mosaicism and to verify the phasing of the de novo variant. Based on peripheral blood analysis, the parents did not exhibit mosaicism at this site, and the de novo variant was paternally derived. Here, we describe a fetus with a de novo likely pathogenic variant of TAOK1 who had a dilated lateral ventricle and a series of particular phenotypes. This case expands the clinical spectrum of TAOK1-associated disorders. We propose a method for solving genetic disorders in which the responsible genes have not yet gone through ClinGen curation, particularly for prenatal cases.
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Affiliation(s)
- Lihua Yu
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, China
| | - Chaoxiang Yang
- Department of Radiology, Guangdong Women and Children Hospital, Guangzhou, China
| | - Ning Shang
- Department of Ultrasound, Guangdong Women and Children Hospital, Guangzhou, China
| | - Hongke Ding
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, China
| | - Juan Zhu
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, China
| | - Yuanyuan Zhu
- Aegicare (Shenzhen) Technology Co., Ltd., Shenzhen, China
| | - Haowen Tan
- Aegicare (Shenzhen) Technology Co., Ltd., Shenzhen, China
| | - Yan Zhang
- Medical Genetics Centre, Guangdong Women and Children Hospital, Guangzhou, China
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12
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Shi JW, Cao H, Hong L, Ma J, Cui L, Zhang Y, Song X, Liu J, Yang Y, Lv Q, Zhang L, Wang J, Xie M. Diagnostic yield of whole exome data in fetuses aborted for conotruncal malformations. Prenat Diagn 2022; 42:852-861. [PMID: 35420166 DOI: 10.1002/pd.6147] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 04/01/2022] [Accepted: 04/07/2022] [Indexed: 11/05/2022]
Abstract
OBJECTIVE We investigated a custom congenital heart disease (CHD) geneset to assess the diagnostic value of whole-exome sequencing (WES) in karyotype- and copy number variation (CNV)-negative aborted fetuses with conotruncal defects (CTD), and to explore the impact of postnatal phenotyping on genetic diagnosis. METHODS We sequentially analyzed CNV-seq and WES data from 47 CTD fetuses detected by prenatal ultrasonography. Fetuses with either a confirmed aneuploidy or pathogenic CNV were excluded from the WES analyses, which were performed following the American College of Medical Genetics and Genomics recommendations and a custom CHD-geneset. Imaging and autopsy were applied to obtain postnatal phenotypic information about aborted fetuses. RESULTS CNV-seq identified aneuploidy in 7/47 cases while 13/47 fetuses were CNV-positive. Eighty-five rare deleterious variants in 61 genes (from custom geneset) were identified by WES in the remaining fetuses. Of these, five (likely) pathogenic variants (LPV/PV) were identified in five fetuses, revealing a 10.6% incremental diagnostic yield. Furthermore, RERE:c.2461_2472delGGGATGTGGCGA was reclassified as LPV based on postnatal phenotypic data. CONCLUSION We have developed and defined a CHD gene panel that can be utilized in a subset of fetuses with CTDs. We demonstrate the utility of incorporating both prenatal and postnatal phenotypic information may facilitate WES diagnostics. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Jia-Wei Shi
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Haiyan Cao
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Liu Hong
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Jing Ma
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Li Cui
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Yi Zhang
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Xiaoyan Song
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Juanjuan Liu
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Yali Yang
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Qing Lv
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Li Zhang
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Jing Wang
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Mingxing Xie
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, 430022, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
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13
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Aguayo‐Orozco TA, Ríos‐González BE, Castro‐Martínez AG, Ruiz‐Ramírez AV, Figuera LE. Generalized hypertrichosis syndromes in Mexico. AMERICAN JOURNAL OF MEDICAL GENETICS PART C-SEMINARS IN MEDICAL GENETICS 2020; 184:1014-1022. [DOI: 10.1002/ajmg.c.31864] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 11/18/2020] [Accepted: 11/20/2020] [Indexed: 01/09/2023]
Affiliation(s)
- Thania Alejandra Aguayo‐Orozco
- División de Genética, Centro de Investigación Biomédica de Occidente Instituto Mexicano del Seguro Social Guadalajara Jalisco Mexico
- Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud Universidad de Guadalajara Guadalajara Jalisco Mexico
| | | | | | - Andrea Virginia Ruiz‐Ramírez
- División de Genética, Centro de Investigación Biomédica de Occidente Instituto Mexicano del Seguro Social Guadalajara Jalisco Mexico
- Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud Universidad de Guadalajara Guadalajara Jalisco Mexico
| | - Luis E. Figuera
- División de Genética, Centro de Investigación Biomédica de Occidente Instituto Mexicano del Seguro Social Guadalajara Jalisco Mexico
- Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud Universidad de Guadalajara Guadalajara Jalisco Mexico
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14
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Espeche LD, Solari AP, Mori MÁ, Arenas RM, Palomares M, Pérez M, Martínez C, Lotersztein V, Segovia M, Armando R, Dain LB, Nevado J, Lapunzina P, Rozental S. Implementation of chromosomal microarrays in a cohort of patients with intellectual disability at the Argentinean public health system. Mol Biol Rep 2020; 47:6863-6878. [PMID: 32920771 DOI: 10.1007/s11033-020-05743-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 08/28/2020] [Indexed: 01/03/2023]
Abstract
Intellectual disability is a neurodevelopmental disorder in which genetic, epigenetic and environmental factors are involved. In consequence, the determination of its etiology is usually complex. Though many countries have migrated from conventional cytogenetic analysis to chromosomal microarrays as the first-tier genetic test for patients with this condition, this last technique was implemented in our country a few years ago. We report on the results of the implementation of chromosomal microarrays in a cohort of 133 patients with intellectual disability and dysmorphic features, normal karyotype and normal subtelomeric MLPA results in an Argentinean public health institution. Clinically relevant copy number variants were found in 12% of the patients and one or more copy number variants classified as variants of uncertain significance were found in 5.3% of them. Although the diagnostic yield of chromosomal microarrays is greater than conventional cytogenetics for these patients, there are financial limitations to adopt this technique as a first-tier test in our country, especially in the public health system.
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Affiliation(s)
- Lucía Daniela Espeche
- Centro Nacional de Genética Médica "Dr. Eduardo Castilla"- ANLIS "Dr. Carlos G. Malbrán", Ministerio de Salud, Buenos Aires, Argentina
| | - Andrea Paula Solari
- Centro Nacional de Genética Médica "Dr. Eduardo Castilla"- ANLIS "Dr. Carlos G. Malbrán", Ministerio de Salud, Buenos Aires, Argentina
| | - María Ángeles Mori
- Instituto de Genética Médica y Molecular (INGEMM), IdiPAZ, Hospital Universitario La Paz, Universidad Autónoma de Madrid, Madrid, Spain.,CIBERER (Centro de Investigación Biomédica en Red de Enfermedades Raras), ISCIII, Madrid, Spain.,ITHACA European Reference Network, Madrid, Spain
| | - Rubén Martín Arenas
- Instituto de Genética Médica y Molecular (INGEMM), IdiPAZ, Hospital Universitario La Paz, Universidad Autónoma de Madrid, Madrid, Spain.,CIBERER (Centro de Investigación Biomédica en Red de Enfermedades Raras), ISCIII, Madrid, Spain.,ITHACA European Reference Network, Madrid, Spain
| | - María Palomares
- Instituto de Genética Médica y Molecular (INGEMM), IdiPAZ, Hospital Universitario La Paz, Universidad Autónoma de Madrid, Madrid, Spain.,CIBERER (Centro de Investigación Biomédica en Red de Enfermedades Raras), ISCIII, Madrid, Spain.,ITHACA European Reference Network, Madrid, Spain
| | - Myriam Pérez
- Centro Nacional de Genética Médica "Dr. Eduardo Castilla"- ANLIS "Dr. Carlos G. Malbrán", Ministerio de Salud, Buenos Aires, Argentina
| | - Cinthia Martínez
- Centro Nacional de Genética Médica "Dr. Eduardo Castilla"- ANLIS "Dr. Carlos G. Malbrán", Ministerio de Salud, Buenos Aires, Argentina
| | - Vanesa Lotersztein
- Centro Nacional de Genética Médica "Dr. Eduardo Castilla"- ANLIS "Dr. Carlos G. Malbrán", Ministerio de Salud, Buenos Aires, Argentina
| | - Mabel Segovia
- Centro Nacional de Genética Médica "Dr. Eduardo Castilla"- ANLIS "Dr. Carlos G. Malbrán", Ministerio de Salud, Buenos Aires, Argentina
| | - Romina Armando
- Servicio de Genética, Hospital de Niños "Dr. Ricardo Gutiérrez", Buenos Aires, Argentina
| | - Liliana Beatriz Dain
- Centro Nacional de Genética Médica "Dr. Eduardo Castilla"- ANLIS "Dr. Carlos G. Malbrán", Ministerio de Salud, Buenos Aires, Argentina
| | - Julián Nevado
- Instituto de Genética Médica y Molecular (INGEMM), IdiPAZ, Hospital Universitario La Paz, Universidad Autónoma de Madrid, Madrid, Spain.,CIBERER (Centro de Investigación Biomédica en Red de Enfermedades Raras), ISCIII, Madrid, Spain.,ITHACA European Reference Network, Madrid, Spain
| | - Pablo Lapunzina
- Instituto de Genética Médica y Molecular (INGEMM), IdiPAZ, Hospital Universitario La Paz, Universidad Autónoma de Madrid, Madrid, Spain.,CIBERER (Centro de Investigación Biomédica en Red de Enfermedades Raras), ISCIII, Madrid, Spain.,ITHACA European Reference Network, Madrid, Spain
| | - Sandra Rozental
- Centro Nacional de Genética Médica "Dr. Eduardo Castilla"- ANLIS "Dr. Carlos G. Malbrán", Ministerio de Salud, Buenos Aires, Argentina.
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