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Xu H, Wang Z, Sa S, Yang Y, Zhang X, Li D. Identification of novel compound heterozygous variants of the ALMS1 gene in a child with Alström syndrome by whole genome sequencing. Gene 2024; 929:148827. [PMID: 39122231 DOI: 10.1016/j.gene.2024.148827] [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: 06/03/2024] [Revised: 07/24/2024] [Accepted: 08/06/2024] [Indexed: 08/12/2024]
Abstract
BACKGROUND Alström syndrome (ALMS), a rare recessively inherited ciliopathy caused by mutations in ALMS1, is characterized by retinal dystrophy, childhood obesity, sensorineural hearing loss, and type 2 diabetes mellitus. The majority of pathogenic variants in ALMS1 are nonsense and frameshift mutations, which would lead to premature protein truncation, whereas copy number variants are seldom reported. METHODS Herein, we present a 10-year-old Chinese girl with ALMS. The potential causative genetic variant was confirmed through whole genome sequencing, quantitative real-time PCR analysis, and Sanger sequencing. Additionally, breakpoint analysis was performed to determine the exact breakpoint site of the large deletion and elucidate its probable formation mechanism. RESULTS The patient had a cor triatriatum sinister (CTS) structure. Genetic analysis identified novel compound heterozygous variants in the patient, consisting of a frameshift variant c.4414_4415delGT (p.V1472Nfs*26) in ALMS1 and a novel large deletion at chr2:73,612,355-73,626,339, which encompasses exon 1 of the ALMS1 gene. Moreover, breakpoint analysis revealed that the large deletion probably formed through the microhomology-mediated end joining (MMEJ) mechanism due to the 6-bp microhomologies (TCCTTC) observed at both ends of the breakpoints. CONCLUSIONS In this study, novel compound heterozygous variants in the ALMS1 gene were identified in an ALMS patient with a CTS structure. The molecular confirmation of these variants expands the mutational spectrum of ALMS1, while the manifestation of ALMS in the patient provides additional clinical insights into this syndrome.
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Affiliation(s)
- Haikun Xu
- Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun 130033, P.R. China
| | - Ziju Wang
- Department of Pediatrics, China-Japan Union Hospital of Jilin University, Changchun 130033, P.R. China
| | - Sha Sa
- Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun 130033, P.R. China
| | - Ying Yang
- Department of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun 130033, P.R. China
| | - Xiaofei Zhang
- Department of Pediatrics, China-Japan Union Hospital of Jilin University, Changchun 130033, P.R. China.
| | - Dejun Li
- Center for Reproductive Medicine and Prenatal Diagnosis, The First Hospital of Jilin University, Changchun 130021, P.R. China.
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Andjelkovic M, Klaassen K, Skakic A, Marjanovic I, Kravljanac R, Djordjevic M, Vucetic Tadic B, Kecman B, Pavlovic S, Stojiljkovic M. Characterization of 13 Novel Genetic Variants in Genes Associated with Epilepsy: Implications for Targeted Therapeutic Strategies. Mol Diagn Ther 2024; 28:645-663. [PMID: 39003674 PMCID: PMC11349789 DOI: 10.1007/s40291-024-00720-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/26/2024] [Indexed: 07/15/2024]
Abstract
BACKGROUND Childhood epilepsies are caused by heterogeneous underlying disorders where approximately 40% of the origins of epilepsy can be attributed to genetic factors. The application of next-generation sequencing (NGS) has revolutionized molecular diagnostics and has enabled the identification of disease-causing genes and variants in childhood epilepsies. The objective of this study was to use NGS to identify variants in patients with childhood epilepsy, to expand the variant spectrum and discover potential therapeutic targets. METHODS In our study, 55 children with epilepsy of unknown etiology were analyzed by combining clinical-exome and whole-exome sequencing. Novel variants were characterized using various in silico algorithms for pathogenicity and structure prediction. RESULTS The molecular genetic cause of epilepsy was identified in 28 patients and the overall diagnostic success rate was 50.9%. We identified variants in 22 different genes associated with epilepsy that correlate well with the described phenotype. SCN1A gene variants were found in five unrelated patients, while ALDH7A1 and KCNQ2 gene variants were found twice. In the other 19 genes, variants were found only in a single patient. This includes genes such as ASH1L, CSNK2B, RHOBTB2, and SLC13A5, which have only recently been associated with epilepsy. Almost half of diagnosed patients (46.4%) carried novel variants. Interestingly, we identified variants in ALDH7A1, KCNQ2, PNPO, SCN1A, and SCN2A resulting in gene-directed therapy decisions for 11 children from our study, including four children who all carried novel SCN1A genetic variants. CONCLUSIONS Described novel variants will contribute to a better understanding of the European genetic landscape, while insights into the genotype-phenotype correlation will contribute to a better understanding of childhood epilepsies worldwide. Given the expansion of molecular-based approaches, each newly identified genetic variant could become a potential therapeutic target.
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Affiliation(s)
- Marina Andjelkovic
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Vojvode Stepe 444a, 11042, Belgrade, Serbia
| | - Kristel Klaassen
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Vojvode Stepe 444a, 11042, Belgrade, Serbia
| | - Anita Skakic
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Vojvode Stepe 444a, 11042, Belgrade, Serbia
| | - Irena Marjanovic
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Vojvode Stepe 444a, 11042, Belgrade, Serbia
| | - Ruzica Kravljanac
- Institute for Mother and Child Healthcare of Serbia, "Dr Vukan Cupic", Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Maja Djordjevic
- Institute for Mother and Child Healthcare of Serbia, "Dr Vukan Cupic", Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Biljana Vucetic Tadic
- Institute for Mother and Child Healthcare of Serbia, "Dr Vukan Cupic", Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Bozica Kecman
- Institute for Mother and Child Healthcare of Serbia, "Dr Vukan Cupic", Belgrade, Serbia
| | - Sonja Pavlovic
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Vojvode Stepe 444a, 11042, Belgrade, Serbia
| | - Maja Stojiljkovic
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Vojvode Stepe 444a, 11042, Belgrade, Serbia.
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Shen B, Fang Y, Dai Q, Xie Q, Wu W, Wang M. Whole Exome Sequencing as an Effective Molecular Diagnosis Tool for Craniofacial Fibrous Dysplasia with Ocular Complications. Curr Eye Res 2024; 49:996-1003. [PMID: 38708814 DOI: 10.1080/02713683.2024.2349634] [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: 03/19/2023] [Revised: 01/19/2024] [Accepted: 04/25/2024] [Indexed: 05/07/2024]
Abstract
PURPOSE To summarize the clinical manifestations of craniofacial fibrous dysplasia (CFD) patients with ocular complications, and find effective methods to diagnose early. METHODS Nine CFD patients with ocular complications, and their parents were recruited in this study. All patients underwent ocular and systemic examinations. Bone lesions from all patients and peripheral blood from patients and their parents were collected for whole exome sequencing (WES). According to the screening for low-frequency deleterious variants, and bioinformatics variants prediction software, possible disease-causing variants were found in multiple CFD patients. The variants were validated by Sanger sequencing. Trio analysis was performed to verify the genetic patterns of CFD. RESULTS All patients were diagnosed with CFD, according to the clinical manifestations, classic radiographic appearance, and pathological biopsy. The main symptoms of the 9 CFD patients, included visual decline (9/9), craniofacial deformity (3/9) and strabismus (2/9), with few extraocular manifestations. The family backgrounds of all the CFD patients indicated that only the patient was affected, and their immediate family members were normal. GNAS variants were identified in all bone lesions from CFD patients, including two variant types: c.601C > T:p.R201C(6/9) and c.602G > A:p.R201H (3/9) in exon 8. The detection rate reached 100% by WES, but only 77.8% by Sanger sequencing. Interestingly, we found GNAS variants could not be detected in peripheral blood samples from CFD patients or their parents, and other potentially disease-causing gene variants related to CFD were not found. CONCLUSIONS For CFD patients with bone lesions involving the optic canal or sphenoid sinus regions, ocular symptoms should also be considered. Furthermore, we confirmed that CFD is not inherited, somatic variants in the GNAS gene are the main pathogenic gene causing CFD. Compared to the traditional methods in molecular genetic diagnosis of CFD, WES is more feasible and effective but limited in the type of samples.
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Affiliation(s)
- Bingyan Shen
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Yenan Fang
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Qin Dai
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Qiqi Xie
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Wencan Wu
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Min Wang
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, China
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Tsai CY, Hsu JSJ, Chen PL, Wu CC. Implementing next-generation sequencing for diagnosis and management of hereditary hearing impairment: a comprehensive review. Expert Rev Mol Diagn 2024:1-13. [PMID: 39194060 DOI: 10.1080/14737159.2024.2396866] [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: 06/14/2024] [Accepted: 08/22/2024] [Indexed: 08/29/2024]
Abstract
INTRODUCTION Sensorineural hearing impairment (SNHI), a common childhood disorder with heterogeneous genetic causes, can lead to delayed language development and psychosocial problems. Next-generation sequencing (NGS) offers high-throughput screening and high-sensitivity detection of genetic etiologies of SNHI, enabling clinicians to make informed medical decisions, provide tailored treatments, and improve prognostic outcomes. AREAS COVERED This review covers the diverse etiologies of HHI and the utility of different NGS modalities (targeted sequencing and whole exome/genome sequencing), and includes HHI-related studies on newborn screening, genetic counseling, prognostic prediction, and personalized treatment. Challenges such as the trade-off between cost and diagnostic yield, detection of structural variants, and exploration of the non-coding genome are also highlighted. EXPERT OPINION In the current landscape of NGS-based diagnostics for HHI, there are both challenges (e.g. detection of structural variants and non-coding genome variants) and opportunities (e.g. the emergence of medical artificial intelligence tools). The authors advocate the use of technological advances such as long-read sequencing for structural variant detection, multi-omics analysis for non-coding variant exploration, and medical artificial intelligence for pathogenicity assessment and outcome prediction. By integrating these innovations into clinical practice, precision medicine in the diagnosis and management of HHI can be further improved.
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Affiliation(s)
- Cheng-Yu Tsai
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei, Taiwan
- Department of Otolaryngology, National Taiwan University Hospital, Taipei, Taiwan
| | - Jacob Shu-Jui Hsu
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Pei-Lung Chen
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei, Taiwan
- Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
- Institute of Molecular Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
- Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan
| | - Chen-Chi Wu
- Department of Otolaryngology, National Taiwan University Hospital, Taipei, Taiwan
- Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
- Department of Medical Research, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan
- Department of Otolaryngology, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan
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Kim J, Lee J, Kim M, Jang DH. Diagnostic Yield of Trio Whole-Genome Sequencing in Children with Undiagnosed Developmental Delay or Congenital Anomaly: A Prospective Cohort Study. Diagnostics (Basel) 2024; 14:1680. [PMID: 39125556 PMCID: PMC11312062 DOI: 10.3390/diagnostics14151680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Revised: 07/24/2024] [Accepted: 07/29/2024] [Indexed: 08/12/2024] Open
Abstract
Developmental delays (DD) and congenital anomalies (CA) are prevalent yet often remain undiagnosed despite comprehensive genetic testing. This study aims to investigate the diagnostic yield of trio whole-genome sequencing (WGS) in children presenting with DD or CA who remained undiagnosed after previous genetic testing. A prospective cohort study was conducted on children with undiagnosed DD or CA at a single tertiary hospital. All participants suspected of genetic conditions had undergone chromosome analysis, chromosome microarray analysis (CMA), and clinical exome sequencing (CES); however, a subset remained undiagnosed. The WGS test was administered to both the affected children and their parents. A total of 52 children were included, and 10 (19.2%) had undergone a genetic diagnosis through WGS. Eight of these cases were associated with autosomal dominant and de novo variants. WGS led to successful diagnosis due to several factors, including small structural variants, genes not covered in the CES panel, the discovery of newly implicated genes, issues related to coverage depth, low variant allele frequency, challenges in variant interpretation, and differences in the interpretation of variants of unknown significance among clinicians. This study highlights the clinical value of trio WGS testing in undiagnosed children with DD or CA. Notably, an additional 19.2% of affected children were diagnosed through this method.
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Affiliation(s)
- Jaewon Kim
- Department of Physical Medicine and Rehabilitation, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Jaewoong Lee
- Department of Laboratory Medicine, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea;
| | - Myungshin Kim
- Department of Laboratory Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Dae-Hyun Jang
- Department of Physical Medicine and Rehabilitation, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
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Wallis M, Bodek SD, Munro J, Rafehi H, Bennett MF, Ye Z, Schneider A, Gardiner F, Valente G, Murdoch E, Uebergang E, Hunter J, Stutterd C, Huq A, Salmon L, Scheffer I, Eratne D, Meyn S, Fong CY, John T, Mullen S, White SM, Brown NJ, McGillivray G, Chen J, Richmond C, Hughes A, Krzesinski E, Fennell A, Chambers B, Santoreneos R, Le Fevre A, Hildebrand MS, Bahlo M, Christodoulou J, Delatycki M, Berkovic SF. Experience of the first adult-focussed undiagnosed disease program in Australia (AHA-UDP): solving rare and puzzling genetic disorders is ageless. Orphanet J Rare Dis 2024; 19:288. [PMID: 39095811 PMCID: PMC11297648 DOI: 10.1186/s13023-024-03297-5] [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: 08/09/2023] [Accepted: 07/26/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND Significant recent efforts have facilitated increased access to clinical genetics assessment and genomic sequencing for children with rare diseases in many centres, but there remains a service gap for adults. The Austin Health Adult Undiagnosed Disease Program (AHA-UDP) was designed to complement existing UDP programs that focus on paediatric rare diseases and address an area of unmet diagnostic need for adults with undiagnosed rare conditions in Victoria, Australia. It was conducted at a large Victorian hospital to demonstrate the benefits of bringing genomic techniques currently used predominantly in a research setting into hospital clinical practice, and identify the benefits of enrolling adults with undiagnosed rare diseases into a UDP program. The main objectives were to identify the causal mutation for a variety of diseases of individuals and families enrolled, and to discover novel disease genes. METHODS Unsolved patients in whom standard genomic diagnostic techniques such as targeted gene panel, exome-wide next generation sequencing, and/or chromosomal microarray, had already been performed were recruited. Genome sequencing and enhanced genomic analysis from the research setting were applied to aid novel gene discovery. RESULTS In total, 16/50 (32%) families/cases were solved. One or more candidate variants of uncertain significance were detected in 18/50 (36%) families. No candidate variants were identified in 16/50 (32%) families. Two novel disease genes (TOP3B, PRKACB) and two novel genotype-phenotype correlations (NARS, and KMT2C genes) were identified. Three out of eight patients with suspected mosaic tuberous sclerosis complex had their diagnosis confirmed which provided reproductive options for two patients. The utility of confirming diagnoses for patients with mosaic conditions (using high read depth sequencing and ddPCR) was not specifically envisaged at the onset of the project, but the flexibility to offer recruitment and analyses on an as-needed basis proved to be a strength of the AHA-UDP. CONCLUSION AHA-UDP demonstrates the utility of a UDP approach applying genome sequencing approaches in diagnosing adults with rare diseases who have had uninformative conventional genetic analysis, informing clinical management, recurrence risk, and recommendations for relatives.
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Affiliation(s)
- Mathew Wallis
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- Tasmanian Clinical Genetics Service, Tasmanian Health Service, Hobart, TAS, Australia
- School of Medicine and Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Simon D Bodek
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia.
- Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, Australia.
| | - Jacob Munro
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Australia
| | - Haloom Rafehi
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Australia
| | - Mark F Bennett
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Australia
- Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne, Australia
| | - Zimeng Ye
- Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne, Australia
| | - Amy Schneider
- Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne, Australia
| | - Fiona Gardiner
- Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne, Australia
| | - Giulia Valente
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
| | - Emma Murdoch
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
| | - Eloise Uebergang
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- Murdoch Children's Research Institute, Melbourne, Parkville, Australia
| | - Jacquie Hunter
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
| | - Chloe Stutterd
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- Victorian Clinical Genetics Service, Melbourne, Australia
- Murdoch Children's Research Institute, Melbourne, Parkville, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Australia
| | - Aamira Huq
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- Genetic Medicine Service, The Royal Melbourne Hospital, Melbourne, Australia
| | - Lucinda Salmon
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- Genetics Service, Royal Prince Alfred Hospital, Melbourne, Australia
| | - Ingrid Scheffer
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne, Australia
- Department of Paediatrics, Austin Health, Melbourne, Australia
| | - Dhamidhu Eratne
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne, Australia
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, Australia
| | - Stephen Meyn
- Centre for Human Genomics and Precision Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Chun Y Fong
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
| | - Tom John
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, Australia
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Saul Mullen
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne, Australia
| | - Susan M White
- Victorian Clinical Genetics Service, Melbourne, Australia
- Murdoch Children's Research Institute, Melbourne, Parkville, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Australia
| | - Natasha J Brown
- Victorian Clinical Genetics Service, Melbourne, Australia
- Murdoch Children's Research Institute, Melbourne, Parkville, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Australia
| | - George McGillivray
- Victorian Clinical Genetics Service, Melbourne, Australia
- Genetics Service, Mercy Hospital for Women, Melbourne, Australia
| | - Jesse Chen
- Neurology Service, Austin Health, Melbourne, Australia
| | - Chris Richmond
- Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - Andrew Hughes
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, Australia
| | | | - Andrew Fennell
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- Monash Health Genetics Clinic, Melbourne, Australia
| | - Brian Chambers
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, Australia
| | - Renee Santoreneos
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- Victorian Clinical Genetics Service, Melbourne, Australia
| | - Anna Le Fevre
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Victorian Clinical Genetics Service, Melbourne, Australia
| | - Michael S Hildebrand
- Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne, Australia
| | - Melanie Bahlo
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Australia
| | - John Christodoulou
- Victorian Clinical Genetics Service, Melbourne, Australia
- Murdoch Children's Research Institute, Melbourne, Parkville, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Australia
| | - Martin Delatycki
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- Victorian Clinical Genetics Service, Melbourne, Australia
- Murdoch Children's Research Institute, Melbourne, Parkville, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Australia
| | - Samuel F Berkovic
- Austin Health Clinical Genetics Service, Austin Health, Melbourne, Australia
- Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne, Australia
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Watson S, Ngo KJ, Stevens HA, Wong DY, Kim J, Song Y, Han B, Hyun SI, Khang R, Ryu SW, Lee E, Seo G, Lee H, Lajonchere C, Fogel BL. Cross-Sectional Analysis of Exome Sequencing Diagnosis in Patients With Neurologic Phenotypes Facing Barriers to Clinical Testing. Neurol Genet 2024; 10:e200133. [PMID: 38617022 PMCID: PMC11010248 DOI: 10.1212/nxg.0000000000200133] [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: 10/25/2023] [Accepted: 01/19/2024] [Indexed: 04/16/2024]
Abstract
Background and Objectives Exome sequencing (ES) demonstrates a 20-50 percent diagnostic yield for patients with a suspected monogenic neurologic disease. Despite the proven efficacy in achieving a diagnosis for such patients, multiple barriers for obtaining exome sequencing remain. This study set out to assess the efficacy of ES in patients with primary neurologic phenotypes who were appropriate candidates for testing but had been unable to pursue clinical testing. Methods A total of 297 patients were identified from the UCLA Clinical Neurogenomics Research Center Biobank, and ES was performed, including bioinformatic assessment of copy number variation and repeat expansions. Information regarding demographics, clinical indication for ES, and reason for not pursuing ES clinically were recorded. To assess diagnostic efficacy, variants were interpreted by a multidisciplinary team of clinicians, bioinformaticians, and genetic counselors in accordance with the American College of Medical Genetics and Genomics variant classification guidelines. We next examined the specific barriers to testing for these patients, including how frequently insurance-related barriers such as coverage denials and inadequate coverage of cost were obstacles to pursuing exome sequencing. Results The cohort primarily consisted of patients with sporadic conditions (n = 126, 42.4%) of adult-onset (n = 239, 80.5%). Cerebellar ataxia (n = 225, 75.8%) was the most common presenting neurologic phenotype. Our study found that in this population of mostly adult patients with primary neurologic phenotypes that were unable to pursue exome sequencing clinically, 47 (15.8%) had diagnostic results while an additional 24 patients (8.1%) had uncertain results. Of the 297 patients, 206 were initially recommended for clinical exome but 88 (42.7%) could not pursue ES because of insurance barriers, of whom 14 (15.9%) had diagnostic findings, representing 29.8% of all patients with diagnostic findings. In addition, the incorporation of bioinformatic repeat expansion testing was valuable, identifying a total of 8 pathogenic repeat expansions (17.0% of all diagnostic findings) including 3 of the common spinocerebellar ataxias and 2 patients with Huntington disease. Discussion These findings underscore the importance and value of clinical ES as a diagnostic tool for neurogenetic disease and highlight key barriers that prevent patients from receiving important clinical information with potential treatment and psychosocial implications for patients and family members.
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Affiliation(s)
- Sonya Watson
- From the Department of Neurology (S.W., K.J.N., H.A.S., D.Y.W., C.L., B.L.F.), the Clinical Neurogenomics Research Center (S.W., H.A.S., D.Y.W., C.L., B.L.F.), the Institute for Precision Health (S.W., C.L., B.L.F.), and the Department of Human Genetics (S.W., B.L.F.), David Geffen School of Medicine, University of California at Los Angeles (UCLA); 3billion, Inc. (J.K., Y.S., B.H., S.-I.H., R.K., S.W.R., E.L., G.S., H.L.)
| | - Kathie J Ngo
- From the Department of Neurology (S.W., K.J.N., H.A.S., D.Y.W., C.L., B.L.F.), the Clinical Neurogenomics Research Center (S.W., H.A.S., D.Y.W., C.L., B.L.F.), the Institute for Precision Health (S.W., C.L., B.L.F.), and the Department of Human Genetics (S.W., B.L.F.), David Geffen School of Medicine, University of California at Los Angeles (UCLA); 3billion, Inc. (J.K., Y.S., B.H., S.-I.H., R.K., S.W.R., E.L., G.S., H.L.)
| | - Hannah A Stevens
- From the Department of Neurology (S.W., K.J.N., H.A.S., D.Y.W., C.L., B.L.F.), the Clinical Neurogenomics Research Center (S.W., H.A.S., D.Y.W., C.L., B.L.F.), the Institute for Precision Health (S.W., C.L., B.L.F.), and the Department of Human Genetics (S.W., B.L.F.), David Geffen School of Medicine, University of California at Los Angeles (UCLA); 3billion, Inc. (J.K., Y.S., B.H., S.-I.H., R.K., S.W.R., E.L., G.S., H.L.)
| | - Darice Y Wong
- From the Department of Neurology (S.W., K.J.N., H.A.S., D.Y.W., C.L., B.L.F.), the Clinical Neurogenomics Research Center (S.W., H.A.S., D.Y.W., C.L., B.L.F.), the Institute for Precision Health (S.W., C.L., B.L.F.), and the Department of Human Genetics (S.W., B.L.F.), David Geffen School of Medicine, University of California at Los Angeles (UCLA); 3billion, Inc. (J.K., Y.S., B.H., S.-I.H., R.K., S.W.R., E.L., G.S., H.L.)
| | - Jihye Kim
- From the Department of Neurology (S.W., K.J.N., H.A.S., D.Y.W., C.L., B.L.F.), the Clinical Neurogenomics Research Center (S.W., H.A.S., D.Y.W., C.L., B.L.F.), the Institute for Precision Health (S.W., C.L., B.L.F.), and the Department of Human Genetics (S.W., B.L.F.), David Geffen School of Medicine, University of California at Los Angeles (UCLA); 3billion, Inc. (J.K., Y.S., B.H., S.-I.H., R.K., S.W.R., E.L., G.S., H.L.)
| | - Yongjun Song
- From the Department of Neurology (S.W., K.J.N., H.A.S., D.Y.W., C.L., B.L.F.), the Clinical Neurogenomics Research Center (S.W., H.A.S., D.Y.W., C.L., B.L.F.), the Institute for Precision Health (S.W., C.L., B.L.F.), and the Department of Human Genetics (S.W., B.L.F.), David Geffen School of Medicine, University of California at Los Angeles (UCLA); 3billion, Inc. (J.K., Y.S., B.H., S.-I.H., R.K., S.W.R., E.L., G.S., H.L.)
| | - Beomman Han
- From the Department of Neurology (S.W., K.J.N., H.A.S., D.Y.W., C.L., B.L.F.), the Clinical Neurogenomics Research Center (S.W., H.A.S., D.Y.W., C.L., B.L.F.), the Institute for Precision Health (S.W., C.L., B.L.F.), and the Department of Human Genetics (S.W., B.L.F.), David Geffen School of Medicine, University of California at Los Angeles (UCLA); 3billion, Inc. (J.K., Y.S., B.H., S.-I.H., R.K., S.W.R., E.L., G.S., H.L.)
| | - Seong-In Hyun
- From the Department of Neurology (S.W., K.J.N., H.A.S., D.Y.W., C.L., B.L.F.), the Clinical Neurogenomics Research Center (S.W., H.A.S., D.Y.W., C.L., B.L.F.), the Institute for Precision Health (S.W., C.L., B.L.F.), and the Department of Human Genetics (S.W., B.L.F.), David Geffen School of Medicine, University of California at Los Angeles (UCLA); 3billion, Inc. (J.K., Y.S., B.H., S.-I.H., R.K., S.W.R., E.L., G.S., H.L.)
| | - Rin Khang
- From the Department of Neurology (S.W., K.J.N., H.A.S., D.Y.W., C.L., B.L.F.), the Clinical Neurogenomics Research Center (S.W., H.A.S., D.Y.W., C.L., B.L.F.), the Institute for Precision Health (S.W., C.L., B.L.F.), and the Department of Human Genetics (S.W., B.L.F.), David Geffen School of Medicine, University of California at Los Angeles (UCLA); 3billion, Inc. (J.K., Y.S., B.H., S.-I.H., R.K., S.W.R., E.L., G.S., H.L.)
| | - Seung Woo Ryu
- From the Department of Neurology (S.W., K.J.N., H.A.S., D.Y.W., C.L., B.L.F.), the Clinical Neurogenomics Research Center (S.W., H.A.S., D.Y.W., C.L., B.L.F.), the Institute for Precision Health (S.W., C.L., B.L.F.), and the Department of Human Genetics (S.W., B.L.F.), David Geffen School of Medicine, University of California at Los Angeles (UCLA); 3billion, Inc. (J.K., Y.S., B.H., S.-I.H., R.K., S.W.R., E.L., G.S., H.L.)
| | - Eugene Lee
- From the Department of Neurology (S.W., K.J.N., H.A.S., D.Y.W., C.L., B.L.F.), the Clinical Neurogenomics Research Center (S.W., H.A.S., D.Y.W., C.L., B.L.F.), the Institute for Precision Health (S.W., C.L., B.L.F.), and the Department of Human Genetics (S.W., B.L.F.), David Geffen School of Medicine, University of California at Los Angeles (UCLA); 3billion, Inc. (J.K., Y.S., B.H., S.-I.H., R.K., S.W.R., E.L., G.S., H.L.)
| | - Gohun Seo
- From the Department of Neurology (S.W., K.J.N., H.A.S., D.Y.W., C.L., B.L.F.), the Clinical Neurogenomics Research Center (S.W., H.A.S., D.Y.W., C.L., B.L.F.), the Institute for Precision Health (S.W., C.L., B.L.F.), and the Department of Human Genetics (S.W., B.L.F.), David Geffen School of Medicine, University of California at Los Angeles (UCLA); 3billion, Inc. (J.K., Y.S., B.H., S.-I.H., R.K., S.W.R., E.L., G.S., H.L.)
| | - Hane Lee
- From the Department of Neurology (S.W., K.J.N., H.A.S., D.Y.W., C.L., B.L.F.), the Clinical Neurogenomics Research Center (S.W., H.A.S., D.Y.W., C.L., B.L.F.), the Institute for Precision Health (S.W., C.L., B.L.F.), and the Department of Human Genetics (S.W., B.L.F.), David Geffen School of Medicine, University of California at Los Angeles (UCLA); 3billion, Inc. (J.K., Y.S., B.H., S.-I.H., R.K., S.W.R., E.L., G.S., H.L.)
| | - Clara Lajonchere
- From the Department of Neurology (S.W., K.J.N., H.A.S., D.Y.W., C.L., B.L.F.), the Clinical Neurogenomics Research Center (S.W., H.A.S., D.Y.W., C.L., B.L.F.), the Institute for Precision Health (S.W., C.L., B.L.F.), and the Department of Human Genetics (S.W., B.L.F.), David Geffen School of Medicine, University of California at Los Angeles (UCLA); 3billion, Inc. (J.K., Y.S., B.H., S.-I.H., R.K., S.W.R., E.L., G.S., H.L.)
| | - Brent L Fogel
- From the Department of Neurology (S.W., K.J.N., H.A.S., D.Y.W., C.L., B.L.F.), the Clinical Neurogenomics Research Center (S.W., H.A.S., D.Y.W., C.L., B.L.F.), the Institute for Precision Health (S.W., C.L., B.L.F.), and the Department of Human Genetics (S.W., B.L.F.), David Geffen School of Medicine, University of California at Los Angeles (UCLA); 3billion, Inc. (J.K., Y.S., B.H., S.-I.H., R.K., S.W.R., E.L., G.S., H.L.)
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8
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Kernohan KD, Boycott KM. The expanding diagnostic toolbox for rare genetic diseases. Nat Rev Genet 2024; 25:401-415. [PMID: 38238519 DOI: 10.1038/s41576-023-00683-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2023] [Indexed: 05/23/2024]
Abstract
Genomic technologies, such as targeted, exome and short-read genome sequencing approaches, have revolutionized the care of patients with rare genetic diseases. However, more than half of patients remain without a diagnosis. Emerging approaches from research-based settings such as long-read genome sequencing and optical genome mapping hold promise for improving the identification of disease-causal genetic variants. In addition, new omic technologies that measure the transcriptome, epigenome, proteome or metabolome are showing great potential for variant interpretation. As genetic testing options rapidly expand, the clinical community needs to be mindful of their individual strengths and limitations, as well as remaining challenges, to select the appropriate diagnostic test, correctly interpret results and drive innovation to address insufficiencies. If used effectively - through truly integrative multi-omics approaches and data sharing - the resulting large quantities of data from these established and emerging technologies will greatly improve the interpretative power of genetic and genomic diagnostics for rare diseases.
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Affiliation(s)
- Kristin D Kernohan
- CHEO Research Institute, University of Ottawa, Ottawa, ON, Canada
- Newborn Screening Ontario, CHEO, Ottawa, ON, Canada
| | - Kym M Boycott
- CHEO Research Institute, University of Ottawa, Ottawa, ON, Canada.
- Department of Genetics, CHEO, Ottawa, ON, Canada.
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9
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Duraisamy AJ, Liu R, Sureshkumar S, Rose R, Jagannathan L, da Silva C, Coovadia A, Ramachander V, Chandrasekar S, Raja I, Sajnani M, Selvaraj SM, Narang B, Darvishi K, Bhayal AC, Katikala L, Guo F, Chen-Deutsch X, Balciuniene J, Ma Z, Nallamilli BRR, Bean L, Collins C, Hegde M. Focused Exome Sequencing Gives a High Diagnostic Yield in the Indian Subcontinent. J Mol Diagn 2024; 26:510-519. [PMID: 38582400 DOI: 10.1016/j.jmoldx.2024.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 09/11/2023] [Accepted: 03/01/2024] [Indexed: 04/08/2024] Open
Abstract
The genetically isolated yet heterogeneous and highly consanguineous Indian population has shown a higher prevalence of rare genetic disorders. However, there is a significant socioeconomic burden for genetic testing to be accessible to the general population. In the current study, we analyzed next-generation sequencing data generated through focused exome sequencing from individuals with different phenotypic manifestations referred for genetic testing to achieve a molecular diagnosis. Pathogenic or likely pathogenic variants are reported in 280 of 833 cases with a diagnostic yield of 33.6%. Homozygous sequence and copy number variants were found as positive diagnostic findings in 131 cases (15.7%) because of the high consanguinity in the Indian population. No relevant findings related to reported phenotype were identified in 6.2% of the cases. Patients referred for testing due to metabolic disorder and neuromuscular disorder had higher diagnostic yields. Carrier testing of asymptomatic individuals with a family history of the disease, through focused exome sequencing, achieved positive diagnosis in 54 of 118 cases tested. Copy number variants were also found in trans with single-nucleotide variants and mitochondrial variants in a few of the cases. The diagnostic yield and the findings from this study signify that a focused exome test is a good lower-cost alternative for whole-exome and whole-genome sequencing and as a first-tier approach to genetic testing.
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Affiliation(s)
| | - Ruby Liu
- Revvity Omics, Pittsburgh, Pennsylvania
| | | | - Rajiv Rose
- PerkinElmer Genomics, Revvity Omics, Chennai, India
| | | | | | | | | | | | - Indu Raja
- PerkinElmer Genomics, Revvity Omics, Chennai, India
| | | | | | | | | | | | | | - Fen Guo
- Revvity Omics, Pittsburgh, Pennsylvania
| | | | | | | | | | - Lora Bean
- Revvity Omics, Pittsburgh, Pennsylvania
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10
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Afridi TUK, Fatima A, Satti HS, Akram Z, Yousafzai IK, Naeem WB, Fatima N, Ali A, Iqbal Z, Khan A, Shahzad M, Liu C, Toft M, Zhang F, Tariq M, Davis EE, Khan TN. Exome sequencing in four families with neurodevelopmental disorders: genotype-phenotype correlation and identification of novel disease-causing variants in VPS13B and RELN. Mol Genet Genomics 2024; 299:55. [PMID: 38771357 DOI: 10.1007/s00438-024-02149-y] [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: 11/19/2023] [Accepted: 04/30/2024] [Indexed: 05/22/2024]
Abstract
Neurodevelopmental disorders (NDDs) are a clinically and genetically heterogeneous group of early-onset pediatric disorders that affect the structure and/or function of the central or peripheral nervous system. Achieving a precise molecular diagnosis for NDDs may be challenging due to the diverse genetic underpinnings and clinical variability. In the current study, we investigated the underlying genetic cause(s) of NDDs in four unrelated Pakistani families. Using exome sequencing (ES) as a diagnostic approach, we identified disease-causing variants in established NDD-associated genes in all families, including one hitherto unreported variant in RELN and three recurrent variants in VPS13B, DEGS1, and SPG11. Overall, our study highlights the potential of ES as a tool for clinical diagnosis.
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Affiliation(s)
- Tehseen Ullah Khan Afridi
- Department of Biological Sciences, National University of Medical Sciences, Rawalpindi, 46000, Pakistan
| | - Ambrin Fatima
- Department of Biological and Biomedical Sciences, The Aga Khan University, Karachi, 74800, Pakistan
| | - Humayoon Shafique Satti
- Department of Biological Sciences, National University of Medical Sciences, Rawalpindi, 46000, Pakistan
| | - Zaineb Akram
- Department of Biological Sciences, National University of Medical Sciences, Rawalpindi, 46000, Pakistan
| | - Imran Khan Yousafzai
- Department of Biological Sciences, National University of Medical Sciences, Rawalpindi, 46000, Pakistan
| | - Wajahat Bin Naeem
- Department of Biological Sciences, National University of Medical Sciences, Rawalpindi, 46000, Pakistan
| | - Nasreen Fatima
- Department of Biological Sciences, National University of Medical Sciences, Rawalpindi, 46000, Pakistan
| | - Asmat Ali
- Department of Biological and Biomedical Sciences, The Aga Khan University, Karachi, 74800, Pakistan
| | - Zafar Iqbal
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Ayaz Khan
- National Institute for Biotechnology and Genetic Engineering College, Pakistan Institute of Engineering and Applied Sciences (NIBGE-C, PIEAS), Faisalabad, Pakistan
| | - Muhammad Shahzad
- Department of Neurosurgery, District Headquarter Hospital, Kohat, Pakistan
| | - Chunyu Liu
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Mathias Toft
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Feng Zhang
- Institute of Medical Genetics and Genomics, Fudan University, Shanghai, 200438, China
| | - Muhammad Tariq
- National Institute for Biotechnology and Genetic Engineering College, Pakistan Institute of Engineering and Applied Sciences (NIBGE-C, PIEAS), Faisalabad, Pakistan
| | - Erica E Davis
- Advanced Center for Translational and Genetic Medicine, Stanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.
- Department of Pediatrics and Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
| | - Tahir N Khan
- Department of Biological Sciences, National University of Medical Sciences, Rawalpindi, 46000, Pakistan.
- Advanced Center for Translational and Genetic Medicine, Stanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.
- Department of Pediatrics and Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
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11
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D'haene E, López-Soriano V, Martínez-García PM, Kalayanamontri S, Rey AD, Sousa-Ortega A, Naranjo S, Van de Sompele S, Vantomme L, Mahieu Q, Vergult S, Neto A, Gómez-Skarmeta JL, Martínez-Morales JR, Bauwens M, Tena JJ, De Baere E. Comparative 3D genome analysis between neural retina and retinal pigment epithelium reveals differential cis-regulatory interactions at retinal disease loci. Genome Biol 2024; 25:123. [PMID: 38760655 PMCID: PMC11100165 DOI: 10.1186/s13059-024-03250-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 04/17/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND Vision depends on the interplay between photoreceptor cells of the neural retina and the underlying retinal pigment epithelium (RPE). Most genes involved in inherited retinal diseases display specific spatiotemporal expression within these interconnected retinal components through the local recruitment of cis-regulatory elements (CREs) in 3D nuclear space. RESULTS To understand the role of differential chromatin architecture in establishing tissue-specific expression at inherited retinal disease loci, we mapped genome-wide chromatin interactions using in situ Hi-C and H3K4me3 HiChIP on neural retina and RPE/choroid from human adult donor eyes. We observed chromatin looping between active promoters and 32,425 and 8060 candidate CREs in the neural retina and RPE/choroid, respectively. A comparative 3D genome analysis between these two retinal tissues revealed that 56% of 290 known inherited retinal disease genes were marked by differential chromatin interactions. One of these was ABCA4, which is implicated in the most common autosomal recessive inherited retinal disease. We zoomed in on retina- and RPE-specific cis-regulatory interactions at the ABCA4 locus using high-resolution UMI-4C. Integration with bulk and single-cell epigenomic datasets and in vivo enhancer assays in zebrafish revealed tissue-specific CREs interacting with ABCA4. CONCLUSIONS Through comparative 3D genome mapping, based on genome-wide, promoter-centric, and locus-specific assays of human neural retina and RPE, we have shown that gene regulation at key inherited retinal disease loci is likely mediated by tissue-specific chromatin interactions. These findings do not only provide insight into tissue-specific regulatory landscapes at retinal disease loci, but also delineate the search space for non-coding genomic variation underlying unsolved inherited retinal diseases.
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Affiliation(s)
- Eva D'haene
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium.
| | - Víctor López-Soriano
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Pedro Manuel Martínez-García
- Centro Andaluz de Biología del Desarrollo, Consejo Superior de Investigaciones Científicas and Universidad Pablo de Olavide, Sevilla, Spain
| | - Soraya Kalayanamontri
- Centro Andaluz de Biología del Desarrollo, Consejo Superior de Investigaciones Científicas and Universidad Pablo de Olavide, Sevilla, Spain
| | - Alfredo Dueñas Rey
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Ana Sousa-Ortega
- Centro Andaluz de Biología del Desarrollo, Consejo Superior de Investigaciones Científicas and Universidad Pablo de Olavide, Sevilla, Spain
| | - Silvia Naranjo
- Centro Andaluz de Biología del Desarrollo, Consejo Superior de Investigaciones Científicas and Universidad Pablo de Olavide, Sevilla, Spain
| | - Stijn Van de Sompele
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Lies Vantomme
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Quinten Mahieu
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Sarah Vergult
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Ana Neto
- Centro Andaluz de Biología del Desarrollo, Consejo Superior de Investigaciones Científicas and Universidad Pablo de Olavide, Sevilla, Spain
| | - José Luis Gómez-Skarmeta
- Centro Andaluz de Biología del Desarrollo, Consejo Superior de Investigaciones Científicas and Universidad Pablo de Olavide, Sevilla, Spain
| | - Juan Ramón Martínez-Morales
- Centro Andaluz de Biología del Desarrollo, Consejo Superior de Investigaciones Científicas and Universidad Pablo de Olavide, Sevilla, Spain.
| | - Miriam Bauwens
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium.
| | - Juan Jesús Tena
- Centro Andaluz de Biología del Desarrollo, Consejo Superior de Investigaciones Científicas and Universidad Pablo de Olavide, Sevilla, Spain.
| | - Elfride De Baere
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium.
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12
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Liang JW, Christensen KD, Green RC, Kraft P. Evaluating the utility of multi-gene, multi-disease population-based panel testing accounting for uncertainty in penetrance estimates. NPJ Genom Med 2024; 9:30. [PMID: 38760335 PMCID: PMC11101660 DOI: 10.1038/s41525-024-00414-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 04/19/2024] [Indexed: 05/19/2024] Open
Abstract
Panel germline testing allows for the efficient detection of deleterious variants for multiple conditions, but the benefits and harms of identifying these variants are not always well understood. We present a multi-gene, multi-disease aggregate utility formula that allows the user to consider adding or removing each gene in a panel based on variant frequency, estimated penetrances, and subjective disutilities for testing positive but not developing the disease and testing negative but developing the disease. We provide credible intervals for utility that reflect uncertainty in penetrance estimates. Rare, highly penetrant deleterious variants tend to contribute positive net utilities for a wide variety of user-specified disutilities, even when accounting for parameter estimation uncertainty. However, the clinical utility of deleterious variants with moderate, uncertain penetrance depends more on assumed disutilities. The decision to include a gene on a panel depends on variant frequency, penetrance, and subjective utilities and should account for uncertainties around these factors.
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Affiliation(s)
- Jane W Liang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kurt D Christensen
- Center for Healthcare Research in Pediatrics, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Department of Population Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Robert C Green
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Mass General Brigham, Boston, MA, USA
- Ariadne Labs, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Peter Kraft
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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13
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Lee JM, Kim HS, Yoo J, Lee J, Ahn A, Cho H, Han EH, Jung J, Yoo JW, Kim S, Lee JW, Cho B, Chung NG, Kim M, Kim Y. Genomic insights into inherited bone marrow failure syndromes in a Korean population. Br J Haematol 2024. [PMID: 38735735 DOI: 10.1111/bjh.19509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 04/24/2024] [Indexed: 05/14/2024]
Abstract
Inherited bone marrow failure syndromes (IBMFS) pose significant diagnostic challenges due to overlapping symptoms and variable expressivity, despite evolving genomic insights. The study aimed to elucidate the genomic landscape among 130 Korean patients with IBMFS. We conducted targeted next-generation sequencing (NGS) and clinical exome sequencing (CES) across the cohort, complemented by whole genome sequencing (WGS) and chromosomal microarray (CMA) in 12 and 47 cases, respectively, with negative initial results. Notably, 50% (n = 65) of our cohort achieved a genomic diagnosis. Among these, 35 patients exhibited mutations associated with classic IBMFSs (n = 33) and the recently defined IBMFS, aplastic anaemia, mental retardation and dwarfism syndrome (AmeDS, n = 2). Classic IBMFSs were predominantly detected via targeted NGS (85%, n = 28) and CES (88%, n = 29), whereas AMeDS was exclusively identified through CES. Both CMA and WGS aided in identifying copy number variations (n = 2) and mutations in previously unexplored regions (n = 2). Additionally, 30 patients were diagnosed with other congenital diseases, encompassing 13 distinct entities including inherited thrombocytopenia (n = 12), myeloid neoplasms with germline predisposition (n = 8), congenital immune disorders (n = 7) and miscellaneous genomic conditions (n = 3). CES was particularly effective in revealing these diverse diagnoses. Our findings underscore the significance of comprehensive genomic analysis in IBMFS, highlighting the need for ongoing exploration in this complex field.
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Affiliation(s)
- Jong-Mi Lee
- Catholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Department of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hoon Seok Kim
- Catholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Department of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jaeeun Yoo
- Department of Laboratory Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jaewoong Lee
- Department of Laboratory Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Ari Ahn
- Department of Laboratory Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hanwool Cho
- Department of Laboratory Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Eun Hee Han
- Department of Laboratory Medicine, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jin Jung
- Department of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jae Won Yoo
- Department of Pediatrics, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Seongkoo Kim
- Department of Pediatrics, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jae Wook Lee
- Department of Pediatrics, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Bin Cho
- Department of Pediatrics, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Nack-Gyun Chung
- Department of Pediatrics, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Myungshin Kim
- Catholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Department of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yonggoo Kim
- Catholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Department of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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14
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Ciancia S, Madeo SF, Calabrese O, Iughetti L. The Approach to a Child with Dysmorphic Features: What the Pediatrician Should Know. CHILDREN (BASEL, SWITZERLAND) 2024; 11:578. [PMID: 38790573 PMCID: PMC11120268 DOI: 10.3390/children11050578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 05/01/2024] [Accepted: 05/06/2024] [Indexed: 05/26/2024]
Abstract
The advancement of genetic knowledge and the discovery of an increasing number of genetic disorders has made the role of the geneticist progressively more complex and fundamental. However, most genetic disorders present during childhood; thus, their early recognition is a challenge for the pediatrician, who will be also involved in the follow-up of these children, often establishing a close relationship with them and their families and becoming a referral figure. In this review, we aim to provide the pediatrician with a general knowledge of the approach to treating a child with a genetic syndrome associated with dysmorphic features. We will discuss the red flags, the most common manifestations, the analytic collection of the family and personal medical history, and the signs that should alert the pediatrician during the physical examination. We will offer an overview of the physical malformations most commonly associated with genetic defects and the way to describe dysmorphic facial features. We will provide hints about some tools that can support the pediatrician in clinical practice and that also represent a useful educational resource, either online or through apps downloaded on a smartphone. Eventually, we will offer an overview of genetic testing, the ethical considerations, the consequences of incidental findings, and the main indications and limitations of the principal technologies.
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Affiliation(s)
- Silvia Ciancia
- Pediatric Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, Largo del Pozzo 71, 41124 Modena, Italy
| | - Simona Filomena Madeo
- Pediatric Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, Largo del Pozzo 71, 41124 Modena, Italy
| | - Olga Calabrese
- Medical Genetics Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, 41124 Modena, Italy
| | - Lorenzo Iughetti
- Pediatric Unit, Department of Medical and Surgical Sciences for Mothers, Children and Adults, University of Modena and Reggio Emilia, Largo del Pozzo 71, 41124 Modena, Italy
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15
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Perlman SL. CRPD frontiers in movement disorders Therapeutics: From evidence to treatment and applications: Addressing Patients' Needs in the Management of the Ataxias. Clin Park Relat Disord 2024; 10:100255. [PMID: 38798918 PMCID: PMC11126860 DOI: 10.1016/j.prdoa.2024.100255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 04/02/2024] [Accepted: 05/05/2024] [Indexed: 05/29/2024] Open
Abstract
The genetic ataxias have no cures and no proven ways to delay progression (no disease-modifying therapies). The acquired ataxias may have treatments that address the underlying cause and may slow or stop progression, but will not reverse damage already sustained. The idiopathic ataxias (of unknown genetic or acquired cause) also have no proven disease-modifying therapies. However, for all patients with ataxia of any cause, there is always something that can be done to improve quality of life-treat associated symptoms, provide information and resources, counsel patient and family, help with insurance and disability concerns, be available to listen and answer the many questions they will have.
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Affiliation(s)
- Susan L. Perlman
- Department of Neurology David Geffen School of Medicine at UCLA Health Sciences 300 UCLA Medical Plaza, Suite B200 Los Angeles, CA 90095, United States
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16
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Li S, Zhao S, Sinson JC, Bajic A, Rosenfeld JA, Neeley MB, Pena M, Worley KC, Burrage LC, Weisz-Hubshman M, Ketkar S, Craigen WJ, Clark GD, Lalani S, Bacino CA, Machol K, Chao HT, Potocki L, Emrick L, Sheppard J, Nguyen MTT, Khoramnia A, Hernandez PP, Nagamani SC, Liu Z, Eng CM, Lee B, Liu P. The clinical utility and diagnostic implementation of human subject cell transdifferentiation followed by RNA sequencing. Am J Hum Genet 2024; 111:841-862. [PMID: 38593811 PMCID: PMC11080285 DOI: 10.1016/j.ajhg.2024.03.007] [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: 10/04/2023] [Revised: 03/08/2024] [Accepted: 03/11/2024] [Indexed: 04/11/2024] Open
Abstract
RNA sequencing (RNA-seq) has recently been used in translational research settings to facilitate diagnoses of Mendelian disorders. A significant obstacle for clinical laboratories in adopting RNA-seq is the low or absent expression of a significant number of disease-associated genes/transcripts in clinically accessible samples. As this is especially problematic in neurological diseases, we developed a clinical diagnostic approach that enhanced the detection and evaluation of tissue-specific genes/transcripts through fibroblast-to-neuron cell transdifferentiation. The approach is designed specifically to suit clinical implementation, emphasizing simplicity, cost effectiveness, turnaround time, and reproducibility. For clinical validation, we generated induced neurons (iNeurons) from 71 individuals with primary neurological phenotypes recruited to the Undiagnosed Diseases Network. The overall diagnostic yield was 25.4%. Over a quarter of the diagnostic findings benefited from transdifferentiation and could not be achieved by fibroblast RNA-seq alone. This iNeuron transcriptomic approach can be effectively integrated into diagnostic whole-transcriptome evaluation of individuals with genetic disorders.
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Affiliation(s)
- Shenglan Li
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Sen Zhao
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Jefferson C Sinson
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Aleksandar Bajic
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA; Advanced Technology Cores, Baylor College of Medicine, Houston, TX, USA
| | - Jill A Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Matthew B Neeley
- Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA
| | - Mezthly Pena
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Kim C Worley
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Lindsay C Burrage
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Monika Weisz-Hubshman
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Shamika Ketkar
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - William J Craigen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Gary D Clark
- Department of Pediatrics, Section of Neurology, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Seema Lalani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Carlos A Bacino
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Keren Machol
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Hsiao-Tuan Chao
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA; Department of Pediatrics, Section of Neurology, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA; Cain Pediatric Research Foundation Laboratories, Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA; McNair Medical Institute, The Robert and Janice McNair Foundation, Houston, TX, USA
| | - Lorraine Potocki
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Lisa Emrick
- Department of Pediatrics, Section of Neurology, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Jennifer Sheppard
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA; Department of Pediatrics, Section of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - My T T Nguyen
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA
| | - Anahita Khoramnia
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | | | - Sandesh Cs Nagamani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Zhandong Liu
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA; Department of Pediatrics, Section of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Christine M Eng
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Baylor Genetics, Houston, TX, USA
| | - Brendan Lee
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Pengfei Liu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Baylor Genetics, Houston, TX, USA.
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17
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Ferrer A, Duffy P, Olson RJ, Meiners MA, Schultz-Rogers L, Macke EL, Safgren S, Morales-Rosado JA, Cousin MA, Oliver GR, Rider D, Williams M, Pichurin PN, Deyle DR, Morava E, Gavrilova RH, Dhamija R, Wierenga KJ, Lanpher BC, Babovic-Vuksanovic D, Kaiwar C, Vitek CR, McAllister TM, Wick MJ, Schimmenti LA, Lazaridis KN, Vairo FPE, Klee EW. Semiautomated approach focused on new genomic information results in time and effort-efficient reannotation of negative exome data. Hum Genet 2024; 143:649-666. [PMID: 38538918 DOI: 10.1007/s00439-024-02664-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 02/25/2024] [Indexed: 05/18/2024]
Abstract
Most rare disease patients (75-50%) undergoing genomic sequencing remain unsolved, often due to lack of information about variants identified. Data review over time can leverage novel information regarding disease-causing variants and genes, increasing this diagnostic yield. However, time and resource constraints have limited reanalysis of genetic data in clinical laboratories setting. We developed RENEW, (REannotation of NEgative WES/WGS) an automated reannotation procedure that uses relevant new information in on-line genomic databases to enable rapid review of genomic findings. We tested RENEW in an unselected cohort of 1066 undiagnosed cases with a broad spectrum of phenotypes from the Mayo Clinic Center for Individualized Medicine using new information in ClinVar, HGMD and OMIM between the date of previous analysis/testing and April of 2022. 5741 variants prioritized by RENEW were rapidly reviewed by variant interpretation specialists. Mean analysis time was approximately 20 s per variant (32 h total time). Reviewed cases were classified as: 879 (93.0%) undiagnosed, 63 (6.6%) putatively diagnosed, and 4 (0.4%) definitively diagnosed. New strategies are needed to enable efficient review of genomic findings in unsolved cases. We report on a fast and practical approach to address this need and improve overall diagnostic success in patient testing through a recurrent reannotation process.
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Affiliation(s)
- Alejandro Ferrer
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Patrick Duffy
- Bioinformatics Systems, Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Rory J Olson
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Michael A Meiners
- Bioinformatics Systems, Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Laura Schultz-Rogers
- Department of Pathology and Lab Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Erica L Macke
- The Institute of Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
| | | | - Joel A Morales-Rosado
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Margot A Cousin
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Gavin R Oliver
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - David Rider
- Bioinformatics Systems, Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Megan Williams
- Bioinformatics Systems, Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Pavel N Pichurin
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA
| | - David R Deyle
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA
| | - Eva Morava
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA
| | | | - Radhika Dhamija
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA
| | - Klass J Wierenga
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Carolyn R Vitek
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Myra J Wick
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA
| | - Lisa A Schimmenti
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA
- Departments of Otorhinolaryngology, Head and Neck Surgery, Ophthalmology, and Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA
| | - Konstantinos N Lazaridis
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | - Filippo Pinto E Vairo
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA
| | - Eric W Klee
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA.
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18
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Nava AA, Arboleda VA. The omics era: a nexus of untapped potential for Mendelian chromatinopathies. Hum Genet 2024; 143:475-495. [PMID: 37115317 PMCID: PMC11078811 DOI: 10.1007/s00439-023-02560-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 04/10/2023] [Indexed: 04/29/2023]
Abstract
The OMICs cascade describes the hierarchical flow of information through biological systems. The epigenome sits at the apex of the cascade, thereby regulating the RNA and protein expression of the human genome and governs cellular identity and function. Genes that regulate the epigenome, termed epigenes, orchestrate complex biological signaling programs that drive human development. The broad expression patterns of epigenes during human development mean that pathogenic germline mutations in epigenes can lead to clinically significant multi-system malformations, developmental delay, intellectual disabilities, and stem cell dysfunction. In this review, we refer to germline developmental disorders caused by epigene mutation as "chromatinopathies". We curated the largest number of human chromatinopathies to date and our expanded approach more than doubled the number of established chromatinopathies to 179 disorders caused by 148 epigenes. Our study revealed that 20.6% (148/720) of epigenes cause at least one chromatinopathy. In this review, we highlight key examples in which OMICs approaches have been applied to chromatinopathy patient biospecimens to identify underlying disease pathogenesis. The rapidly evolving OMICs technologies that couple molecular biology with high-throughput sequencing or proteomics allow us to dissect out the causal mechanisms driving temporal-, cellular-, and tissue-specific expression. Using the full repertoire of data generated by the OMICs cascade to study chromatinopathies will provide invaluable insight into the developmental impact of these epigenes and point toward future precision targets for these rare disorders.
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Affiliation(s)
- Aileen A Nava
- Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
- Department of Pathology & Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
- Broad Stem Cell Research Center, University of California, Los Angeles, CA, USA
| | - Valerie A Arboleda
- Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
- Department of Pathology & Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
- Department of Computational Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
- Broad Stem Cell Research Center, University of California, Los Angeles, CA, USA.
- Molecular Biology Institute, University of California, Los Angeles, CA, USA.
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, CA, USA.
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19
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Abdulkareem AA, Shirah BH, Bagabir HA, Haque A, Naseer MI. Whole exome sequencing of a novel homozygous missense variant in PALB2 gene leading to Fanconi anaemia complementation group. Biomed Rep 2024; 20:67. [PMID: 38476606 PMCID: PMC10928473 DOI: 10.3892/br.2024.1756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/31/2024] [Indexed: 03/14/2024] Open
Abstract
Partner and localiser of BRCA2 (PALB2), also known as FANCN, is a key tumour suppressor gene in maintaining genome integrity. Monoallelic mutations of PALB2 are associated with breast and overian cancers, while bi-allelic mutations cause Fanconi anaemia (FA). In the present study, whole exome sequencing (WES) identified a novel homozygous missense variant, NM_024675.3: c.3296C>G (p.Thr1099Arg) in PALB2 gene (OMIM: 610355) that caused FA with mild pulmonary valve stenosis and dysmorphic and atypical features, including lymphangiectasia, non-immune hydrops fetalis and right-sided pleural effusion in a preterm female baby. WES results were further validated by Sanger sequencing. WES improves the screening and detection of novel and causative genetic variants to improve management of disease. To the best of our knowledge, the present study is the first reported FA case in a Saudi family with phenotypic atypical FA features. The results support the role of PALB2 gene and pathogenic variants that may cause clinical presentation of FA. Furthermore, the present results may establish a disease database, providing a groundwork for understanding the key genomic regions to control diseases resulting from consanguinity.
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Affiliation(s)
- Angham Abdulrhman Abdulkareem
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Faculty of Science, Department of Biochemistry, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Bader H. Shirah
- Department of Neuroscience, King Faisal Specialist Hospital and Research Centre, Jeddah 11211, Saudi Arabia
| | - Hala Abubaker Bagabir
- Department of Physiology, Faculty of Medicine, King Abdulaziz University, Rabigh 25732, Saudi Arabia
| | - Absarul Haque
- King Fahd Medical Research Centre, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Muhammad Imran Naseer
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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20
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Stafford-Smith B, Sullivan JA, McAlister M, Walley N, Shashi V, McConkie-Rosell A. The book is just being written: The enduring journey of parents of children with emerging- ultrarare disorders. J Genet Couns 2024. [PMID: 38562053 DOI: 10.1002/jgc4.1894] [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: 10/07/2023] [Revised: 03/13/2024] [Accepted: 03/20/2024] [Indexed: 04/04/2024]
Abstract
Ultra rare disorders are being diagnosed at an unprecedented rate, due to genomic sequencing. These diagnoses are often a new gene association, for which little is known, and few share the diagnosis. For these diagnoses, we use the term emerging-ultrarare disorder (E-URD), defined as <100 diagnosed individuals. We contacted 20 parents of children diagnosed with an E-URD through the Duke University Research Sequencing Clinic. Seventeen completed semi-structured interviews exploring parental perspectives (7/17 had children in publications describing the phenotype; 4/17 had children in the first publication establishing a new disorder). Data were analyzed using a directed content approach informed by an empowerment framework. Parents reported a range of responses, including benefits of a diagnosis and challenges of facing the unknown, some described feeling lost and confused, while others expressed empowerment. Empowerment characteristics were hope for the future, positive emotions, engagement, and confidence/self-efficacy to connect with similar others, partner with healthcare providers, and seek new knowledge. We identified a subset of parents who proactively engaged researchers, supported research and publications, and created patient advocacy and support organizations to connect with and bolster similarly diagnosed families. Other parents reported challenges of low social support, low tolerance for uncertainty, limited knowledge about their child's disorder, as well as difficulty partnering with HCPs and connecting to an E-URD community. An overarching classification was developed to describe parental actions taken after an E-URD diagnosis: adjusting, managing, and pioneering. These classifications may help genetic counselors identify and facilitate positive steps with parents of a child with an E-URD.
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Affiliation(s)
- Bethany Stafford-Smith
- Centre for Medical Education, Cardiff University, Cardiff, UK
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine and Duke Health System, Durham, North Carolina, USA
| | - Jennifer A Sullivan
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine and Duke Health System, Durham, North Carolina, USA
| | | | - Nicole Walley
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine and Duke Health System, Durham, North Carolina, USA
| | - Vandana Shashi
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine and Duke Health System, Durham, North Carolina, USA
| | - Allyn McConkie-Rosell
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine and Duke Health System, Durham, North Carolina, USA
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21
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Lee JY, Oh SH, Keum C, Lee BL, Chung WY. Clinical application of prospective whole-exome sequencing in the diagnosis of genetic disease: Experience of a regional disease center in South Korea. Ann Hum Genet 2024; 88:101-112. [PMID: 37795942 DOI: 10.1111/ahg.12530] [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: 09/26/2022] [Revised: 08/29/2023] [Accepted: 09/11/2023] [Indexed: 10/06/2023]
Abstract
INTRODUCTION Next-generation sequencing helps clinicians diagnose patients with suspected genetic disorders. The current study aimed to investigate the diagnostic yield and clinical utility of prospective whole-exome sequencing (WES) in rare diseases. METHODS WES was performed in 92 patients who presented with clinical symptoms suggestive of genetic disorders. The WES data were analyzed using an in-house developed software. The patients' phenotypic characteristics were classified according to the human phenotype ontology. RESULTS WES detected 64 variants, 13 were classified as pathogenic, 26 as likely pathogenic, and 25 as variants of uncertain significance. In 57 patients with these variants, 30 were identified as causal variants. The diagnostic yield was higher in patients with abnormalities in joint mobility and skin morphology than in those with cerebellar hypoplasia/atrophy, epilepsy, global developmental delay, dysmorphic features/facial dysmorphisms, and chronic kidney disease/abnormal renal morphology. CONCLUSION In this study, a WES-based variant interpretation system was employed to provide a definitive diagnosis for 28.3% of the patients suspected of having genetic disorders. WES is particularly useful for diagnosing rare diseases with symptoms that affect more than one system, when targeted genetic panels are difficult to employ.
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Affiliation(s)
- Ja Young Lee
- Department of Laboratory Medicine, Inje University College of Medicine, Busan, South Korea
| | - Seung-Hwan Oh
- Department of Laboratory Medicine, Pusan National University School of Medicine, Yangsan, South Korea
| | | | - Bo Lyun Lee
- Department of Pediatrics, Inje University College of Medicine, Busan, South Korea
| | - Woo Yeong Chung
- Department of Pediatrics, Inje University College of Medicine, Busan, South Korea
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22
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McNamara RC, Zven S, Horvat DE, Veras JE, Schacht JP. "Hole" Exome Sequences: The Importance of Phenotyping to Fill the Gaps in Whole Exome Sequencing. Pediatr Neurol 2024; 152:1-3. [PMID: 38168579 DOI: 10.1016/j.pediatrneurol.2023.11.017] [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: 07/19/2023] [Revised: 11/21/2023] [Accepted: 11/28/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Whole exome sequencing (WES) is commonly used for patients with nonspecific clinical features and conditions with genetic heterogeneity. However, a nondiagnostic exome does not exclude a genetic diagnosis, so history and physical examination is crucial to selecting appropriate genetic testing. CASES We report three patients with three recognizable phenotypes: a seven-year-old female with classic Rett syndrome; a 28-year-old male with neuropathy, ataxia, and retinitis pigmentosa; and a 16-year-old male with mosaic, segmental, paternal uniparental disomy 14 who had nondiagnostic WES. CONCLUSIONS Despite recognizable phenotypes they had diagnostic delays due to incorrect selection of genetic testing. This case series highlights the limitations of WES and reinforces the importance of utilizing patient history and physical examination to select initial testing. We will discuss appropriate testing for these patients and a consistent diagnostic algorithm that can be applied when approaching patients with unknown or uncertain clinical presentations.
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Affiliation(s)
- R Colin McNamara
- Department of Pediatrics, Walter Reed National Military Medical Center, Bethesda, Maryland.
| | - Sidney Zven
- Department of Pediatrics, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - David E Horvat
- Department of Neurology, Walter Reed National Military Medical Center, Bethesda, Maryland
| | | | - John Paul Schacht
- Department of Pediatrics, Walter Reed National Military Medical Center, Bethesda, Maryland; Department of Pediatric Subspecialties, Walter Reed National Military Medical Center, Bethesda, Maryland
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23
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Abolhassani A, Fattahi Z, Beheshtian M, Fadaee M, Vazehan R, Ahangari F, Dehdahsi S, Faraji Zonooz M, Parsimehr E, Kalhor Z, Peymani F, Mozaffarpour Nouri M, Babanejad M, Noudehi K, Fatehi F, Zamanian Najafabadi S, Afroozan F, Yazdan H, Bozorgmehr B, Azarkeivan A, Sadat Mahdavi S, Nikuei P, Fatehi F, Jamali P, Ashrafi MR, Karimzadeh P, Habibi H, Kahrizi K, Nafissi S, Kariminejad A, Najmabadi H. Clinical application of next generation sequencing for Mendelian disease diagnosis in the Iranian population. NPJ Genom Med 2024; 9:12. [PMID: 38374194 PMCID: PMC10876633 DOI: 10.1038/s41525-024-00393-0] [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: 05/08/2023] [Accepted: 01/29/2024] [Indexed: 02/21/2024] Open
Abstract
Next-generation sequencing (NGS) has been proven to be one of the most powerful diagnostic tools for rare Mendelian disorders. Several studies on the clinical application of NGS in unselected cohorts of Middle Eastern patients have reported a high diagnostic yield of up to 48%, correlated with a high level of consanguinity in these populations. We evaluated the diagnostic utility of NGS-based testing across different clinical indications in 1436 patients from Iran, representing the first study of its kind in this highly consanguineous population. A total of 1075 exome sequencing and 361 targeted gene panel sequencing were performed over 8 years at a single clinical genetics laboratory, with the majority of cases tested as proband-only (91.6%). The overall diagnostic rate was 46.7%, ranging from 24% in patients with an abnormality of prenatal development to over 67% in patients with an abnormality of the skin. We identified 660 pathogenic or likely pathogenic variants, including 241 novel variants, associated with over 342 known genetic conditions. The highly consanguineous nature of this cohort led to the diagnosis of autosomal recessive disorders in the majority of patients (79.1%) and allowed us to determine the shared carrier status of couples for suspected recessive phenotypes in their deceased child(ren) when direct testing was not possible. We also highlight the observations of recessive inheritance of genes previously associated only with dominant disorders and provide an expanded genotype-phenotype spectrum for multiple less-characterized genes. We present the largest mutational spectrum of known Mendelian disease, including possible founder variants, throughout the Iranian population, which can serve as a unique resource for clinical genomic studies locally and beyond.
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Affiliation(s)
- Ayda Abolhassani
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran
| | - Zohreh Fattahi
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | | | - Mahsa Fadaee
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran
| | - Raheleh Vazehan
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran
| | - Fatemeh Ahangari
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran
| | - Shima Dehdahsi
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran
| | | | - Elham Parsimehr
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran
| | - Zahra Kalhor
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran
| | - Fatemeh Peymani
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran
| | | | - Mojgan Babanejad
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Khadijeh Noudehi
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran
| | - Fatemeh Fatehi
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran
| | | | - Fariba Afroozan
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran
| | - Hilda Yazdan
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran
| | - Bita Bozorgmehr
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran
| | - Azita Azarkeivan
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran
| | | | - Pooneh Nikuei
- Molecular Medicine Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
- Nasle Salem Genetic Counseling Center, Bandar Abbas, Iran
| | - Farzad Fatehi
- Department of Neurology, Neuromuscular Research Center, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Payman Jamali
- Genetic Counseling Center, Shahroud Welfare Organization, Semnan, Iran
| | | | - Parvaneh Karimzadeh
- Pediatric Neurology Department, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Haleh Habibi
- Hamedan University of Medical Science, Hamedan, Iran
| | - Kimia Kahrizi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Shahriar Nafissi
- Department of Neurology, Neuromuscular Research Center, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Hossein Najmabadi
- Kariminejad - Najmabadi Pathology & Genetics Center, Tehran, Iran.
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
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24
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Ahmad RN, Zhang LT, Morita R, Tani H, Wu Y, Chujo T, Ogawa A, Harada R, Shigeta Y, Tomizawa K, Wei FY. Pathological mutations promote proteolysis of mitochondrial tRNA-specific 2-thiouridylase 1 (MTU1) via mitochondrial caseinolytic peptidase (CLPP). Nucleic Acids Res 2024; 52:1341-1358. [PMID: 38113276 PMCID: PMC10853782 DOI: 10.1093/nar/gkad1197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 11/22/2023] [Accepted: 12/01/2023] [Indexed: 12/21/2023] Open
Abstract
MTU1 controls intramitochondrial protein synthesis by catalyzing the 2-thiouridine modification of mitochondrial transfer RNAs (mt-tRNAs). Missense mutations in the MTU1 gene are associated with life-threatening reversible infantile hepatic failure. However, the molecular pathogenesis is not well understood. Here, we investigated 17 mutations associated with this disease, and our results showed that most disease-related mutations are partial loss-of-function mutations, with three mutations being particularly severe. Mutant MTU1 is rapidly degraded by mitochondrial caseinolytic peptidase (CLPP) through a direct interaction with its chaperone protein CLPX. Notably, knockdown of CLPP significantly increased mutant MTU1 protein expression and mt-tRNA 2-thiolation, suggesting that accelerated proteolysis of mutant MTU1 plays a role in disease pathogenesis. In addition, molecular dynamics simulations demonstrated that disease-associated mutations may lead to abnormal intermolecular interactions, thereby impairing MTU1 enzyme activity. Finally, clinical data analysis underscores a significant correlation between patient prognosis and residual 2-thiolation levels, which is partially consistent with the AlphaMissense predictions. These findings provide a comprehensive understanding of MTU1-related diseases, offering prospects for modification-based diagnostics and novel therapeutic strategies centered on targeting CLPP.
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Affiliation(s)
- Raja Norazireen Raja Ahmad
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Kumamoto, 860-8556, Japan
- Department of Modomics Biology and Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi, 980-8575, Japan
| | - Long-Teng Zhang
- Department of Modomics Biology and Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi, 980-8575, Japan
| | - Rikuri Morita
- Center for Computational Sciences, University of Tsukuba, Tsukuba, Ibaraki, 305-8577, Japan
| | - Haruna Tani
- Department of Modomics Biology and Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi, 980-8575, Japan
| | - Yong Wu
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Kumamoto, 860-8556, Japan
| | - Takeshi Chujo
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Kumamoto, 860-8556, Japan
| | - Akiko Ogawa
- Department of Modomics Biology and Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi, 980-8575, Japan
| | - Ryuhei Harada
- Center for Computational Sciences, University of Tsukuba, Tsukuba, Ibaraki, 305-8577, Japan
| | - Yasuteru Shigeta
- Center for Computational Sciences, University of Tsukuba, Tsukuba, Ibaraki, 305-8577, Japan
| | - Kazuhito Tomizawa
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Kumamoto, 860-8556, Japan
| | - Fan-Yan Wei
- Department of Modomics Biology and Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi, 980-8575, Japan
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25
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Yu T, Ji Y, Cui X, Liang N, Wu S, Xiang C, Li Y, Tao H, Xie Y, Zuo H, Wang W, Khan N, Ullah K, Xu F, Zhang Y, Lin C. Novel Pathogenic Mutation of P209L in TRPC6 Gene Causes Adult Focal Segmental Glomerulosclerosis. Biochem Genet 2024:10.1007/s10528-023-10651-y. [PMID: 38315264 DOI: 10.1007/s10528-023-10651-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 12/27/2023] [Indexed: 02/07/2024]
Abstract
Focal segmental glomerulosclerosis (FSGS) is a leading kidney disease, clinically associated with proteinuria and progressive renal failure. The occurrence of this disease is partly related to gene mutations. We describe a single affected family member who presented with FSGS. We used high-throughput sequencing, sanger sequencing to identify the pathogenic mutations, and a systems genetics analysis in the BXD mice was conducted to explore the genetic regulatory mechanisms of pathogenic genes in the development of FSGS. We identified high urinary protein (++++) and creatinine levels (149 μmol/L) in a 29-year-old male diagnosed with a 5-year history of grade 2 hypertension. Histopathology of the kidney biopsy showed stromal hyperplasia at the glomerular segmental sclerosis and endothelial cell vacuolation degeneration. Whole-exome sequencing followed by Sanger sequencing revealed a heterozygous missense mutation (c.643C > T) in exon 2 of TRPC6, leading to the substitution of arginine with tryptophan at position 215 (p.Arg215Trp). Systems genetics analysis of the 53 BXD mice kidney transcriptomes identified Pygm as the upstream regulator of Trpc6. Those two genes are jointly involved in the regulation of FSGS mainly via Wnt and Hippo signaling pathways. We present a novel variant in the TRPC6 gene that causes FSGS. Moreover, our data suggested TRPC6 works with PYGM, as well as Wnt and Hippo signaling pathways to regulate renal function, which could guide future clinical prevention and targeted treatment for FSGS outcomes.
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Affiliation(s)
- Tianxi Yu
- School of Clinical Medicine, Weifang Medical University, Weifang, 261042, China
- Department of Urology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China
| | - Yongqiang Ji
- Department of Nephrology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China
| | - Xin Cui
- School of Clinical Medicine, Weifang Medical University, Weifang, 261042, China
- Department of Urology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China
| | - Ning Liang
- School of Clinical Medicine, Weifang Medical University, Weifang, 261042, China
- Department of Urology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China
| | - Shuang Wu
- Department of Urology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China
| | - Chongjun Xiang
- Department of Urology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China
- The 2nd Medical College of Binzhou Medical University, Yantai, 264003, Shandong, China
| | - Yue Li
- Department of Urology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China
- The 2nd Medical College of Binzhou Medical University, Yantai, 264003, Shandong, China
| | - Huiying Tao
- Department of Urology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China
- The 2nd Medical College of Binzhou Medical University, Yantai, 264003, Shandong, China
| | - Yaqi Xie
- Department of Urology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China
- The 2nd Medical College of Binzhou Medical University, Yantai, 264003, Shandong, China
| | - Hongwei Zuo
- Department of Urology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China
- The 2nd Medical College of Binzhou Medical University, Yantai, 264003, Shandong, China
| | - Wenting Wang
- Central Laboratory, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China
| | - Nauman Khan
- Department of Biology, Faculty of Biological and Biomedical Sciences, The University of Haripur, Haripur, KP, Pakistan
| | - Kamran Ullah
- Department of Biology, Faculty of Biological and Biomedical Sciences, The University of Haripur, Haripur, KP, Pakistan
| | - Fuyi Xu
- Shandong Technology Innovation Center of Molecular Targeting and Intelligent Diagnosis and Treatment, Binzhou Medical University, Yantai, 264003, Shandong, China
| | - Yan Zhang
- Department of Nephrology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China.
| | - Chunhua Lin
- Department of Urology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, 264000, Shandong, China.
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26
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Wu J, Cui Y, Liu T, Gu C, Ma X, Yu C, Cai Y, Shu J, Wang W, Cai C. Whole exome sequencing approach for identification of the molecular etiology in pediatric patients with hematuria. Clin Chim Acta 2024; 554:117795. [PMID: 38262496 DOI: 10.1016/j.cca.2024.117795] [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: 10/05/2023] [Revised: 12/25/2023] [Accepted: 01/20/2024] [Indexed: 01/25/2024]
Abstract
BACKGROUND Hematuria is a common condition in clinical practice of pediatric patients. It is related to a wide spectrum of disorders and has high heterogeneity both clinically and genetically, which contributes to challenges of diagnosis and lead many pediatric patients with hematuria not to receive accurate diagnosis and early management. METHODS In this single center study, 42 children with hematuria were included in Tianjin Children's Hospital between 2019 and 2020. We analyzed the clinical information and performed WES (Whole exome sequencing) for all cases. Then the classification of identified variants was performed according to the American College of Medical Genetics and Genomics (ACMG) guidelines for interpreting sequence variants. For the fragment deletion, qPCR was performed to validate and confirm the inherited pattern. RESULTS For the 42 patients, 16 cases had gross hematuria and 26 had microscopic hematuria. Molecular genetic causes were uncovered in 9 (21.4%) children, including 7 with Alport syndrome (AS), one with polycystic nephropathy and one with lipoprotein glomerulopathy. The genetic causes for other patients were not related with hematuria. CONCLUSIONS WES is a rapid and effective way to evaluate patients with hematuria. The analysis of genotype-phenotype correlations of patients with AS indicated that severe variants were associated with early kidney failure. Secondary findings were not rare in Chinese children, thus the clinician should pay more attention to the clinical interpretation of sequencing results and properly interaction with patients and their family.
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Affiliation(s)
- Jinying Wu
- Tianjin Pediatric Research Institute, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin 300134, China
| | - Yaqiong Cui
- Tianjin Pediatric Research Institute, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin 300134, China
| | - Tao Liu
- The department of nephrology, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin 300134, China
| | - Chunyu Gu
- Tianjin Pediatric Research Institute, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin 300134, China
| | - Ximeng Ma
- Basic Medical College, Tianjin Medical University, Tianjin 30070, China
| | - Changshun Yu
- Tianjin KingMed Center for Clinical Laboratory Co. Ltd., Tianjin 300392, China
| | - Yingzi Cai
- Department of Medicine,Tianjin University, Tianjin 300110, China
| | - Jianbo Shu
- Tianjin Pediatric Research Institute, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin 300134, China.
| | - Wenhong Wang
- The department of nephrology, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin 300134, China.
| | - Chunquan Cai
- Tianjin Pediatric Research Institute, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin 300134, China.
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27
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Balcom JR, Ellingson MS, Bowler CA, Richardson DM, Kruisselbrink T, Thomas BC. Development of a flipped learning course to deliver and scale molecular variant evaluation education: A quality improvement initiative. J Genet Couns 2024; 33:168-178. [PMID: 38197720 DOI: 10.1002/jgc4.1855] [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: 12/01/2022] [Revised: 10/06/2023] [Accepted: 11/15/2023] [Indexed: 01/11/2024]
Abstract
Over the past several decades, molecular genetic testing volumes have grown and testing has expanded from single-gene assays to multigene panels, exome sequencing, and genome sequencing. The number of molecular genetic variants that require manual interpretation has grown simultaneously, resulting in an increased demand for education on molecular variant evaluation (MVE). To meet this growing need, a team of genetic counselors and educational experts undertook a quality improvement (QI) initiative with the objectives of assessing, standardizing, and scaling access to MVE education, without increasing instructor time to deliver the education. Using the Six Sigma define-measure-analyze-improve-control (DMAIC) framework, a flipped learning course with a series of standardized online modules was developed to deliver MVE education in an enduring and accessible format for a diverse group of learners. Outcome measures included the number of online modules developed, the number of individual learners and unique learner groups accessing MVE education, and direct instruction time required to deliver MVE education. Countermeasures to ensure maintenance of educational quality included post-course learner satisfaction scores and performance on competency assessments. Both the total number of learners and the number of unique learner groups accessing MVE education increased, while instructor time required to deliver content per learner decreased. Learner satisfaction scores remained constant and performance on competency assessments improved. The QI initiative successfully scaled MVE education to a diverse group of learners without decreasing learner outcomes or satisfaction. The flipped learning format provides a scalable and flexible educational model for instructors and learners in a rapidly changing environment that often includes remote work and education.
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Affiliation(s)
- Jessica R Balcom
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Marissa S Ellingson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Carrie A Bowler
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Obstetrics & Gynecology, Mayo Clinic, Rochester, Minnesota, USA
| | - Darcy M Richardson
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Clinical Documentation Integrity, Mayo Clinic, Rochester, Minnesota, USA
| | - Teresa Kruisselbrink
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Helix, San Carlos, California, USA
| | - Brittany C Thomas
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
- Illumina Inc., San Diego, California, USA
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28
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Aekka A, Weisman AG, Papadakis J, Yerkes E, Baker J, Keswani M, Weinstein J, Finlayson C. Clinical utility of early rapid genome sequencing in the evaluation of patients with differences of sex development. Am J Med Genet A 2024; 194:351-357. [PMID: 37789729 DOI: 10.1002/ajmg.a.63377] [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: 06/15/2023] [Revised: 08/08/2023] [Accepted: 08/09/2023] [Indexed: 10/05/2023]
Abstract
Establishing an early and accurate genetic diagnosis among patients with differences of sex development (DSD) is crucial in guiding the complex medical and psychosocial care they require. Genetic testing routinely utilized in clinical practice for this population is predicated upon physical exam findings and biochemical and endocrine profiling. This approach, however, is inefficient and unstandardized. Many patients with DSD, particularly those with 46,XY DSD, never receive a molecular genetic diagnosis. Rapid genome sequencing (rGS) is gaining momentum as a first-tier diagnostic instrument in the evaluation of patients with DSD given its ability to provide greater diagnostic yield and timely results. We present the case of a patient with nonbinary genitalia and systemic findings for whom rGS identified a novel variant of the WT1 gene and resulted in a molecular diagnosis within two weeks of life. This timeframe of diagnosis for syndromic DSD is largely unprecedented at our institution. Rapid GS expedited mobilization of a multidisciplinary medical team; enabled early understanding of clinical trajectory; informed planning of medical and surgical interventions; and guided individualized psychosocial support provided to the family. This case highlights the potential of early rGS in transforming the evaluation and care of patients with DSD.
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Affiliation(s)
- Apoorva Aekka
- Division of Endocrinology, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Allison Goetsch Weisman
- Division of Genetics, Genomics, and Metabolism, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jaclyn Papadakis
- Department of Psychiatry and Behavioral Health, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Elizabeth Yerkes
- Division of Urology, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Joshua Baker
- Division of Genetics, Genomics, and Metabolism, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Mahima Keswani
- Division of Nephrology, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Joanna Weinstein
- Division of Hematology, Oncology, Neuro-Oncology and Stem Cell Transplantation, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Courtney Finlayson
- Division of Endocrinology, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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29
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Hartley T, Marshall D, Acker M, Fooks K, Gillespie MK, Price EM, Graham ID, White-Brown A, MacKay L, Macdonald SK, Brady L, Hui AY, Andrews JD, Chowdhury A, Wall E, Soubry É, Ediae GU, Rojas S, Assamad D, Dyment D, Tarnopolsky M, Sawyer SL, Chisholm C, Lemire G, Amburgey K, Lazier J, Mendoza-Londono R, Dowling JJ, Balci TB, Armour CM, Bhola PT, Costain G, Dupuis L, Carter M, Badalato L, Richer J, Boswell-Patterson C, Kannu P, Cordeiro D, Warman-Chardon J, Graham G, Siu VM, Cytrynbaum C, Rusnak A, Aul RB, Yoon G, Gonorazky H, McNiven V, Mercimek-Andrews S, Guerin A, Deshwar AR, Marwaha A, Weksberg R, Karp N, Campbell M, Al-Qattan S, Shuen AY, Inbar-Feigenberg M, Cohn R, Szuto A, Inglese C, Poirier M, Chad L, Potter B, Boycott KM, Hayeems R. Evaluation of the diagnostic accuracy of exome sequencing and its impact on diagnostic thinking for patients with rare disease in a publicly funded health care system: A prospective cohort study. Genet Med 2024; 26:101012. [PMID: 37924259 DOI: 10.1016/j.gim.2023.101012] [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: 04/21/2023] [Revised: 10/26/2023] [Accepted: 10/29/2023] [Indexed: 11/06/2023] Open
Abstract
PURPOSE To evaluate the diagnostic utility of publicly funded clinical exome sequencing (ES) for patients with suspected rare genetic diseases. METHODS We prospectively enrolled 297 probands who met eligibility criteria and received ES across 5 sites in Ontario, Canada, and extracted data from medical records and clinician surveys. Using the Fryback and Thornbury Efficacy Framework, we assessed diagnostic accuracy by examining laboratory interpretation of results and assessed diagnostic thinking by examining the clinical interpretation of results and whether clinical-molecular diagnoses would have been achieved via alternative hypothetical molecular tests. RESULTS Laboratories reported 105 molecular diagnoses and 165 uncertain results in known and novel genes. Of these, clinicians interpreted 102 of 105 (97%) molecular diagnoses and 6 of 165 (4%) uncertain results as clinical-molecular diagnoses. The 108 clinical-molecular diagnoses were in 104 families (35% diagnostic yield). Each eligibility criteria resulted in diagnostic yields of 30% to 40%, and higher yields were achieved when >2 eligibility criteria were met (up to 45%). Hypothetical tests would have identified 61% of clinical-molecular diagnoses. CONCLUSION We demonstrate robustness in eligibility criteria and high clinical validity of laboratory results from ES testing. The importance of ES was highlighted by the potential 40% of patients that would have gone undiagnosed without this test.
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Affiliation(s)
- Taila Hartley
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada; University of Ottawa, Ottawa, Canada.
| | | | | | - Katharine Fooks
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Meredith K Gillespie
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - E Magda Price
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Ian D Graham
- University of Ottawa, Ottawa, Canada; Ottawa Hospital Research Institute, Ottawa, Canada
| | | | - Layla MacKay
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Stella K Macdonald
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Lauren Brady
- McMaster Children's Hospital, McMaster University, Hamilton, Canada
| | - Angela Y Hui
- Kingston Health Sciences Center, Queen's University, Kingston, Canada
| | - Joseph D Andrews
- London Health Sciences Centre, Western University, London, Canada
| | - Ashfia Chowdhury
- London Health Sciences Centre, Western University, London, Canada
| | - Erika Wall
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Élisabeth Soubry
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Grace U Ediae
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Samantha Rojas
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | | | - David Dyment
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada; University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Mark Tarnopolsky
- McMaster Children's Hospital, McMaster University, Hamilton, Canada
| | - Sarah L Sawyer
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | | | - Gabrielle Lemire
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada; University of Ottawa, Ottawa, Canada
| | - Kimberly Amburgey
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Joanna Lazier
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | | | - James J Dowling
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Tugce B Balci
- London Health Sciences Centre, Western University, London, Canada
| | - Christine M Armour
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada; University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Priya T Bhola
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Gregory Costain
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Lucie Dupuis
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Melissa Carter
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Lauren Badalato
- Kingston Health Sciences Center, Queen's University, Kingston, Canada
| | - Julie Richer
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | | | - Peter Kannu
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada; The Ottawa Hospital, Ottawa, Canada
| | | | - Jodi Warman-Chardon
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada; Ottawa Hospital Research Institute, Ottawa, Canada; University of Alberta, Edmonton, Alberta, Canada
| | - Gail Graham
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Victoria Mok Siu
- London Health Sciences Centre, Western University, London, Canada
| | - Cheryl Cytrynbaum
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Alison Rusnak
- University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada; Kingston Health Sciences Center, Queen's University, Kingston, Canada
| | - Ritu B Aul
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Grace Yoon
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Hernan Gonorazky
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | | | | | - Andrea Guerin
- Kingston Health Sciences Center, Queen's University, Kingston, Canada
| | - Ashish R Deshwar
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Ashish Marwaha
- University of Calgary, Calgary, Canada; Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada; The Ottawa Hospital, Ottawa, Canada
| | - Rosanna Weksberg
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Natalya Karp
- London Health Sciences Centre, Western University, London, Canada
| | - Maggie Campbell
- Kingston Health Sciences Center, Queen's University, Kingston, Canada
| | - Sarah Al-Qattan
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Andrew Y Shuen
- University of Toronto, Toronto, Canada; McMaster Children's Hospital, McMaster University, Hamilton, Canada; London Health Sciences Centre, Western University, London, Canada
| | | | - Ronald Cohn
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Anna Szuto
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Cara Inglese
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | | | - Lauren Chad
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada
| | - Beth Potter
- University of Ottawa, Ottawa, Canada; Ottawa Hospital Research Institute, Ottawa, Canada
| | - Kym M Boycott
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada; University of Ottawa, Ottawa, Canada; Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Robin Hayeems
- Hospital for Sick Children, Toronto, Canada; University of Toronto, Toronto, Canada.
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30
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Giordano JL, Wapner RJ. Genomics of stillbirth. Semin Perinatol 2024; 48:151866. [PMID: 38238216 DOI: 10.1016/j.semperi.2023.151866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
Stillbirth, defined as fetal death at 20 weeks gestation or later, is a devastating pregnancy outcome affecting 1 in 175 pregnancies in the United States. Although efforts to understand the etiology of stillbirth have expanded, 25 % of cases remain unexplained and some cases previously thought to be explained may have additional unknown causative factors. Determining an etiology for stillbirth is important for clinical management and for grieving families to obtain closure, to find meaning, and to understand recurrence risks. However, the evaluation of stillbirth is not completed uniformly despite American College of Obstetrics and Gynecology (ACOG) guidelines and stillbirth data is frequently incomplete due to lack of genomic analysis, fetal autopsy, and placental pathology. Karyotype and chromosomal microarray have been the gold standard in genetic analysis in perinatal medicine for many years, but next generation sequencing holds promise towards improving diagnostic yields and providing clarity for both clinicians and patients.
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Affiliation(s)
- Jessica L Giordano
- Division of Women's Genetics, Department of Obstetrics and Gynecology, Columbia University Irving Medical Center.
| | - Ronald J Wapner
- Division of Women's Genetics, Department of Obstetrics and Gynecology, Columbia University Irving Medical Center
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31
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Feró O, Varga D, Nagy É, Karányi Z, Sipos É, Engelhardt J, Török N, Balogh I, Vető B, Likó I, Fóthi Á, Szabó Z, Halmos G, Vécsei L, Arányi T, Székvölgyi L. DNA methylome, R-loop and clinical exome profiling of patients with sporadic amyotrophic lateral sclerosis. Sci Data 2024; 11:123. [PMID: 38267456 PMCID: PMC10808109 DOI: 10.1038/s41597-024-02985-y] [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: 09/21/2023] [Accepted: 01/17/2024] [Indexed: 01/26/2024] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder characterized by the death of motor neurons, the aetiology of which is essentially unknown. Here, we present an integrative epigenomic study in blood samples from seven clinically characterised sporadic ALS patients to elucidate molecular factors associated with the disease. We used clinical exome sequencing (CES) to study DNA variants, DNA-RNA hybrid immunoprecipitation sequencing (DRIP-seq) to assess R-loop distribution, and reduced representation bisulfite sequencing (RRBS) to examine DNA methylation changes. The above datasets were combined to create a comprehensive repository of genetic and epigenetic changes associated with the ALS cases studied. This repository is well-suited to unveil new correlations within individual patients and across the entire patient cohort. The molecular attributes described here are expected to guide further mechanistic studies on ALS, shedding light on the underlying genetic causes and facilitating the development of new epigenetic therapies to combat this life-threatening disease.
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Affiliation(s)
- Orsolya Feró
- MTA-DE Momentum, Genome Architecture and Recombination Research Group, Department of Molecular and Nanopharmaceutics, Faculty of Pharmacy, University of Debrecen, H-4032, Debrecen, Hungary
| | - Dóra Varga
- MTA-DE Momentum, Genome Architecture and Recombination Research Group, Department of Molecular and Nanopharmaceutics, Faculty of Pharmacy, University of Debrecen, H-4032, Debrecen, Hungary
- Doctoral School of Pharmaceutical Sciences, Faculty of Pharmacy, University of Debrecen, H-4032, Debrecen, Hungary
| | - Éva Nagy
- MTA-DE Momentum, Genome Architecture and Recombination Research Group, Department of Molecular and Nanopharmaceutics, Faculty of Pharmacy, University of Debrecen, H-4032, Debrecen, Hungary
| | - Zsolt Karányi
- MTA-DE Momentum, Genome Architecture and Recombination Research Group, Department of Molecular and Nanopharmaceutics, Faculty of Pharmacy, University of Debrecen, H-4032, Debrecen, Hungary
- Department of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, H-4032, Hungary
| | - Éva Sipos
- MTA-DE Momentum, Genome Architecture and Recombination Research Group, Department of Molecular and Nanopharmaceutics, Faculty of Pharmacy, University of Debrecen, H-4032, Debrecen, Hungary
- Department of Biopharmacy, Faculty of Pharmacy, University of Debrecen, H-4032, Debrecen, Hungary
| | - József Engelhardt
- Department of Neurology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Nóra Török
- Department of Neurology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - István Balogh
- Division of Clinical Genetics, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, H-4032, Debrecen, Hungary
| | - Borbála Vető
- Division of Clinical Genetics, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, H-4032, Debrecen, Hungary
| | - István Likó
- Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary
| | - Ábel Fóthi
- Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary
| | - Zoltán Szabó
- Department of Emergency Medicine, Faculty of Medicine, University of Debrecen, H-4032, Debrecen, Hungary
| | - Gábor Halmos
- Department of Biopharmacy, Faculty of Pharmacy, University of Debrecen, H-4032, Debrecen, Hungary
| | - László Vécsei
- Department of Neurology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Tamás Arányi
- Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary.
- Department of Molecular Biology, Semmelweis University, Budapest, Hungary.
| | - Lóránt Székvölgyi
- MTA-DE Momentum, Genome Architecture and Recombination Research Group, Department of Molecular and Nanopharmaceutics, Faculty of Pharmacy, University of Debrecen, H-4032, Debrecen, Hungary.
- Doctoral School of Pharmaceutical Sciences, Faculty of Pharmacy, University of Debrecen, H-4032, Debrecen, Hungary.
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, H-4032, Hungary.
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32
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Huang L, Lai Y, Sun L, Li S, Ding X. HIGH MYOPIA IS COMMON IN PATIENTS WITH X-LINKED RETINOPATHIES: Myopic Maculopathy Analysis. Retina 2024; 44:117-126. [PMID: 38117582 DOI: 10.1097/iae.0000000000003934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
PURPOSE High myopia can occur as a single or syndromic condition. The aim of this study was to evaluate the refractive error and myopic maculopathy in patients with X-linked retinopathies. METHODS Whole exome sequencing, Sanger sequencing, and comprehensive ocular examinations were performed in patients with X-linked retinopathies. RESULTS A total of 17 patients were recruited, including six with CACNA1F, seven with RPGR, three with NYX, and one with OPN1MW mutations. The diagnoses were congenital stationary night blindness (6), cone-rod dystrophy (4), retinitis pigmentosa (4), achromatopsia (1), Leber congenital amaurosis (1), and myopia (1). Myopia was present in 88.2% patients, and 64.7% patients had high myopia. Gene analysis showed that high myopia was present in 80% patients with CACNA1F, 100% patients with NYX, and 57.1% patients with RPGR mutations. In the ATN classification, 64.7% of the patients were A1T0N0 and 35.3% were A0T0N0. The refractive errors progressed over time, even in patients with congenital stationary night blindness. Two females with heterozygous de novo RPGR mutations presented with retinitis pigmentosa or cone rod dystrophy combined with high myopia. CONCLUSION High myopia is common in patients with X-linked retinopathies, and myopic maculopathy was only mild atrophy without traction and neovascularization.
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Affiliation(s)
- Li Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
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33
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Kouri C, Sommer G, Martinez de Lapiscina I, Elzenaty RN, Tack LJW, Cools M, Ahmed SF, Flück CE. Clinical and genetic characteristics of a large international cohort of individuals with rare NR5A1/SF-1 variants of sex development. EBioMedicine 2024; 99:104941. [PMID: 38168586 PMCID: PMC10797150 DOI: 10.1016/j.ebiom.2023.104941] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Steroidogenic factor 1 (SF-1/NR5A1) is essential for human sex development. Heterozygous NR5A1/SF-1 variants manifest with a broad range of phenotypes of differences of sex development (DSD), which remain unexplained. METHODS We conducted a retrospective analysis on the so far largest international cohort of individuals with NR5A1/SF-1 variants, identified through the I-DSD registry and a research network. FINDINGS Among 197 individuals with NR5A1/SF-1 variants, we confirmed diverse phenotypes. Over 70% of 46, XY individuals had a severe DSD phenotype, while 90% of 46, XX individuals had female-typical sex development. Close to 100 different novel and known NR5A1/SF-1 variants were identified, without specific hot spots. Additionally, likely disease-associated variants in other genes were reported in 32 individuals out of 128 tested (25%), particularly in those with severe or opposite sex DSD phenotypes. Interestingly, 48% of these variants were found in known DSD or SF-1 interacting genes, but no frequent gene-clusters were identified. Sex registration at birth varied, with <10% undergoing reassignment. Gonadectomy was performed in 30% and genital surgery in 58%. Associated organ anomalies were observed in 27% of individuals with a DSD, mainly concerning the spleen. Intrafamilial phenotypes also varied considerably. INTERPRETATION The observed phenotypic variability in individuals and families with NR5A1/SF-1 variants is large and remains unpredictable. It may often not be solely explained by the monogenic pathogenicity of the NR5A1/SF-1 variants but is likely influenced by additional genetic variants and as-yet-unknown factors. FUNDING Swiss National Science Foundation (320030-197725) and Boveri Foundation Zürich, Switzerland.
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Affiliation(s)
- Chrysanthi Kouri
- Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland; Department for BioMedical Research, University of Bern, Bern 3008, Switzerland; Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern 3012, Switzerland
| | - Grit Sommer
- Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland; Department for BioMedical Research, University of Bern, Bern 3008, Switzerland; Institute of Social and Preventive Medicine, University of Bern, Switzerland, University of Bern, Bern 3012, Switzerland
| | - Idoia Martinez de Lapiscina
- Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland; Department for BioMedical Research, University of Bern, Bern 3008, Switzerland; Research into the Genetics and Control of Diabetes and Other Endocrine Disorders, Biobizkaia Health Research Institute, Cruces University Hospital, Barakaldo 48903, Spain; CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid 28029, Spain; CIBER de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid 28029, Spain; Endo-ERN, Amsterdam 1081 HV, the Netherlands
| | - Rawda Naamneh Elzenaty
- Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland; Department for BioMedical Research, University of Bern, Bern 3008, Switzerland; Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern 3012, Switzerland
| | - Lloyd J W Tack
- Department of Paediatric Endocrinology, Department of Paediatrics and Internal Medicine, Ghent University Hospital, Ghent University, Ghent 9000, Belgium
| | - Martine Cools
- Department of Paediatric Endocrinology, Department of Paediatrics and Internal Medicine, Ghent University Hospital, Ghent University, Ghent 9000, Belgium
| | - S Faisal Ahmed
- Developmental Endocrinology Research Group, University of Glasgow, Royal Hospital for Sick Children, Glasgow G51 4TF, UK
| | - Christa E Flück
- Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland; Department for BioMedical Research, University of Bern, Bern 3008, Switzerland.
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Sullivan JA, Spillmann RC, Schoch K, Walley N, Alkelai A, Stong N, Shea PR, Petrovski S, Jobanputra V, McConkie-Rosell A, Shashi V. The best of both worlds: Blending cutting-edge research with clinical processes for a productive exome clinic. Clin Genet 2024; 105:62-71. [PMID: 37853563 DOI: 10.1111/cge.14437] [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: 08/11/2023] [Revised: 09/29/2023] [Accepted: 10/04/2023] [Indexed: 10/20/2023]
Abstract
Genomic medicine has been transformed by next-generation sequencing (NGS), inclusive of exome sequencing (ES) and genome sequencing (GS). Currently, ES is offered widely in clinical settings, with a less prevalent alternative model consisting of hybrid programs that incorporate research ES along with clinical patient workflows. We were among the earliest to implement a hybrid ES clinic, have provided diagnoses to 45% of probands, and have identified several novel candidate genes. Our program is enabled by a cost-effective investment by the health system and is unique in encompassing all the processes that have been variably included in other hybrid/clinical programs. These include careful patient selection, utilization of a phenotype-agnostic bioinformatics pipeline followed by manual curation of variants and phenotype integration by clinicians, close collaborations between the clinicians and the bioinformatician, pursuit of interesting variants, communication of results to patients in categories that are predicated upon the certainty of a diagnosis, and tracking changes in results over time and the underlying mechanisms for such changes. Due to its effectiveness, scalability to GS and its resource efficiency, specific elements of our paradigm can be incorporated into existing clinical settings, or the entire hybrid model can be implemented within health systems that have genomic medicine programs, to provide NGS in a scientifically rigorous, yet pragmatic setting.
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Affiliation(s)
- Jennifer A Sullivan
- Department of Pediatrics, Division of Medical Genetics, Duke University, Durham, North Carolina, USA
| | - Rebecca C Spillmann
- Department of Pediatrics, Division of Medical Genetics, Duke University, Durham, North Carolina, USA
| | - Kelly Schoch
- Department of Pediatrics, Division of Medical Genetics, Duke University, Durham, North Carolina, USA
| | - Nicole Walley
- Department of Pediatrics, Division of Medical Genetics, Duke University, Durham, North Carolina, USA
| | - Anna Alkelai
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York, USA
- Regeneron Genetics Center, Regeneron Pharmaceuticals, Tarrytown, New York, USA
| | - Nicholas Stong
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York, USA
- Predictive Sciences, Bristol Myers Squibb, Summit, New Jersey, USA
| | - Patrick R Shea
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York, USA
- Genomics and Bioinformatics Analysis Resource, Columbia University, New York, New York, USA
| | - Slavè Petrovski
- Institute for Genomic Medicine, Columbia University Medical Center, New York, New York, USA
- Department of Medicine, University of Melbourne, Austin Health, Melbourne, Victoria, Australia
| | - Vaidehi Jobanputra
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - Allyn McConkie-Rosell
- Department of Pediatrics, Division of Medical Genetics, Duke University, Durham, North Carolina, USA
| | - Vandana Shashi
- Department of Pediatrics, Division of Medical Genetics, Duke University, Durham, North Carolina, USA
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35
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Racine C, Denommé-Pichon AS, Engel C, Tran Mau-Them F, Bruel AL, Vitobello A, Safraou H, Sorlin A, Nambot S, Delanne J, Garde A, Colin E, Moutton S, Thevenon J, Jean-Marçais N, Willems M, Geneviève D, Pinson L, Perrin L, Laffargue F, Lespinasse J, Lacaze E, Molin A, Gerard M, Lambert L, Benigni C, Patat O, Bourgeois V, Poe C, Chevarin M, Couturier V, Garret P, Philippe C, Duffourd Y, Faivre L, Thauvin-Robinet C. Multiple molecular diagnoses in the field of intellectual disability and congenital anomalies: 3.5% of all positive cases. J Med Genet 2023; 61:36-46. [PMID: 37586840 DOI: 10.1136/jmg-2023-109170] [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: 01/29/2023] [Accepted: 07/27/2023] [Indexed: 08/18/2023]
Abstract
PURPOSE Wide access to clinical exome/genome sequencing (ES/GS) enables the identification of multiple molecular diagnoses (MMDs), being a long-standing but underestimated concept, defined by two or more causal loci implicated in the phenotype of an individual with a rare disease. Only few series report MMDs rates (1.8% to 7.1%). This study highlights the increasing role of MMDs in a large cohort of individuals addressed for congenital anomalies/intellectual disability (CA/ID). METHODS From 2014 to 2021, our diagnostic laboratory rendered 880/2658 positive ES diagnoses for CA/ID aetiology. Exhaustive search on MMDs from ES data was performed prospectively (January 2019 to December 2021) and retrospectively (March 2014 to December 2018). RESULTS MMDs were identified in 31/880 individuals (3.5%), responsible for distinct (9/31) or overlapping (22/31) phenotypes, and potential MMDs in 39/880 additional individuals (4.4%). CONCLUSION MMDs are frequent in CA/ID and remain a strong challenge. Reanalysis of positive ES data appears essential when phenotypes are partially explained by the initial diagnosis or atypically enriched overtime. Up-to-date clinical data, clinical expertise from the referring physician, strong interactions between clinicians and biologists, and increasing gene discoveries and improved ES bioinformatics tools appear all the more fundamental to enhance chances of identifying MMDs. It is essential to provide appropriate patient care and genetic counselling.
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Affiliation(s)
- Caroline Racine
- Centre de Génétique et Centre de Référence Anomalies du Développement et Syndromes Malformatifs de l'interrégion Est et FHU TRANSLAD, Centre Hospitalier Universitaire de Dijon Centre de Genetique, Dijon, France
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
| | - Anne-Sophie Denommé-Pichon
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
- Inserm UMR1231 team GAD, University of Burgundy, Dijon, France
| | - Camille Engel
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
| | - Frederic Tran Mau-Them
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
- Inserm UMR1231 team GAD, University of Burgundy, Dijon, France
| | - Ange-Line Bruel
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
- Inserm UMR1231 team GAD, University of Burgundy, Dijon, France
| | - Antonio Vitobello
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
- Inserm UMR1231 team GAD, University of Burgundy, Dijon, France
| | - Hana Safraou
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
- Inserm UMR1231 team GAD, University of Burgundy, Dijon, France
| | - Arthur Sorlin
- Centre de Génétique et Centre de Référence Anomalies du Développement et Syndromes Malformatifs de l'interrégion Est et FHU TRANSLAD, Centre Hospitalier Universitaire de Dijon Centre de Genetique, Dijon, France
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
| | - Sophie Nambot
- Centre de Génétique et Centre de Référence Anomalies du Développement et Syndromes Malformatifs de l'interrégion Est et FHU TRANSLAD, Centre Hospitalier Universitaire de Dijon Centre de Genetique, Dijon, France
- Inserm UMR1231 team GAD, University of Burgundy, Dijon, France
| | - Julian Delanne
- Centre de Génétique et Centre de Référence Anomalies du Développement et Syndromes Malformatifs de l'interrégion Est et FHU TRANSLAD, Centre Hospitalier Universitaire de Dijon Centre de Genetique, Dijon, France
| | - Aurore Garde
- Centre de Génétique et Centre de Référence Anomalies du Développement et Syndromes Malformatifs de l'interrégion Est et FHU TRANSLAD, Centre Hospitalier Universitaire de Dijon Centre de Genetique, Dijon, France
| | - Estelle Colin
- Centre de Génétique et Centre de Référence Anomalies du Développement et Syndromes Malformatifs de l'interrégion Est et FHU TRANSLAD, Centre Hospitalier Universitaire de Dijon Centre de Genetique, Dijon, France
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
| | - Sébastien Moutton
- Centre de Génétique et Centre de Référence Anomalies du Développement et Syndromes Malformatifs de l'interrégion Est et FHU TRANSLAD, Centre Hospitalier Universitaire de Dijon Centre de Genetique, Dijon, France
| | - Julien Thevenon
- Centre de Génétique et Centre de Référence Anomalies du Développement et Syndromes Malformatifs de l'interrégion Est et FHU TRANSLAD, Centre Hospitalier Universitaire de Dijon Centre de Genetique, Dijon, France
| | - Nolwenn Jean-Marçais
- Centre de Génétique et Centre de Référence Anomalies du Développement et Syndromes Malformatifs de l'interrégion Est et FHU TRANSLAD, Centre Hospitalier Universitaire de Dijon Centre de Genetique, Dijon, France
| | - Marjolaine Willems
- Centre de Référence "Anomalies du Développement syndromes malformatifs" Occitanie, Service de Génétique Médicale, Hôpital Arnaud de Villeneuve, Montpellier, France
| | - David Geneviève
- Centre de Référence "Anomalies du Développement syndromes malformatifs" Occitanie, Service de Génétique Médicale, Hôpital Arnaud de Villeneuve, Montpellier, France
- INSERM U1183, Université de Montpellier, Montpellier, France
| | - Lucile Pinson
- Centre de Référence "Anomalies du Développement syndromes malformatifs" Occitanie, Service de Génétique Médicale, Hôpital Arnaud de Villeneuve, Montpellier, France
| | - Laurence Perrin
- Genetic Department, Robert-Debré Hospital Department of Genetics, Paris, France
| | - Fanny Laffargue
- Service de Génétique médicale, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - James Lespinasse
- Unité de Génétique médicale, Centre Hospitalier Métropole Savoie, Chambery, France
| | - Elodie Lacaze
- Department of Medical Genetics, Hospital Group Le Havre, Le Havre, France
| | - Arnaud Molin
- Service de Génétique, University Hospital Centre Caen, Caen, France
| | - Marion Gerard
- Service de Génétique, University Hospital Centre Caen, Caen, France
| | | | | | - Olivier Patat
- Department of Medical Genetics, University Hospital Centre Toulouse, Toulouse, France
| | - Valentin Bourgeois
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
- Inserm UMR1231 team GAD, University of Burgundy, Dijon, France
| | - Charlotte Poe
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
- Inserm UMR1231 team GAD, University of Burgundy, Dijon, France
| | - Martin Chevarin
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
- Inserm UMR1231 team GAD, University of Burgundy, Dijon, France
| | - Victor Couturier
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
- Inserm UMR1231 team GAD, University of Burgundy, Dijon, France
| | - Philippine Garret
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
- Inserm UMR1231 team GAD, University of Burgundy, Dijon, France
| | - Christophe Philippe
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
- Inserm UMR1231 team GAD, University of Burgundy, Dijon, France
| | - Yannis Duffourd
- Functional Unity of Innovative Diagnosis for Rare Diseases, University of Burgundy, Dijon, France
- Inserm UMR1231 team GAD, University of Burgundy, Dijon, France
| | - Laurence Faivre
- Centre de Génétique et Centre de Référence Anomalies du Développement et Syndromes Malformatifs de l'interrégion Est et FHU TRANSLAD, Centre Hospitalier Universitaire de Dijon Centre de Genetique, Dijon, France
- Inserm UMR1231 team GAD, University of Burgundy, Dijon, France
| | - Christel Thauvin-Robinet
- Centre de Génétique et Centre de Référence Anomalies du Développement et Syndromes Malformatifs de l'interrégion Est et FHU TRANSLAD, Centre Hospitalier Universitaire de Dijon Centre de Genetique, Dijon, France
- Inserm UMR1231 team GAD, University of Burgundy, Dijon, France
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Abarca-Barriga HH, Punil Luciano R, Vásquez Sotomayor F. Cornelia de Lange Syndrome Caused by an Intragenic Heterozygous Deletion in RAD21 Detected through Very-High-Resolution Chromosomal Microarray Analysis. Genes (Basel) 2023; 14:2212. [PMID: 38137034 PMCID: PMC10742884 DOI: 10.3390/genes14122212] [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: 10/03/2023] [Revised: 10/31/2023] [Accepted: 11/02/2023] [Indexed: 12/24/2023] Open
Abstract
Cornelia de Lange syndrome is a genetic and clinically heterogeneous entity, caused by at least five genes. It is characterized by short stature, gestalt facies, microcephaly, neurodevelopmental disorders, and other anomalies. In this report, we present a 13-year-old female patient with microcephaly, cleft palate, polydactyly, short stature, triangular facies, frontal bossing, a bulbous nose, an overfolded helix, limited pronosupination, and an anomalous uterus. No neurodevelopmental disorders were reported. A chromosomal microarray analysis of 6.5 million markers was performed in the proband and her parents. The results showed a de novo heterozygous microdeletion of exons 9-14 within RAD21, which confirmed the diagnosis of Cornelia de Lange syndrome type 4. Our patient did not show any neurologic phenotype (until the time of diagnosis), although neurodevelopmental disorders are frequently present in patients with Cornelia de Lange syndrome type 4, and despite carrying a deletion that was larger than previously reported. Therefore, unknown genetic modifiers or intrinsic mechanisms of RAD21 variants may exist and should be studied.
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Affiliation(s)
- Hugo H. Abarca-Barriga
- Instituto de Investigaciones de Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru;
- Servicio de Genética & Errores Innatos del Metabolismo, Instituto Nacional de Salud del Niño Breña, Lima 15083, Peru;
| | - Renzo Punil Luciano
- Servicio de Genética & Errores Innatos del Metabolismo, Instituto Nacional de Salud del Niño Breña, Lima 15083, Peru;
| | - Flor Vásquez Sotomayor
- Instituto de Investigaciones de Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru;
- Servicio de Genética & Errores Innatos del Metabolismo, Instituto Nacional de Salud del Niño Breña, Lima 15083, Peru;
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Louw N, Carstens N, Lombard Z. Incorporating CNV analysis improves the yield of exome sequencing for rare monogenic disorders-an important consideration for resource-constrained settings. Front Genet 2023; 14:1277784. [PMID: 38155715 PMCID: PMC10753787 DOI: 10.3389/fgene.2023.1277784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 11/22/2023] [Indexed: 12/30/2023] Open
Abstract
Exome sequencing (ES) is a recommended first-tier diagnostic test for many rare monogenic diseases. It allows for the detection of both single-nucleotide variants (SNVs) and copy number variants (CNVs) in coding exonic regions of the genome in a single test, and this dual analysis is a valuable approach, especially in limited resource settings. Single-nucleotide variants are well studied; however, the incorporation of copy number variant analysis tools into variant calling pipelines has not been implemented yet as a routine diagnostic test, and chromosomal microarray is still more widely used to detect copy number variants. Research shows that combined single and copy number variant analysis can lead to a diagnostic yield of up to 58%, increasing the yield with as much as 18% from the single-nucleotide variant only pipeline. Importantly, this is achieved with the consideration of computational costs only, without incurring any additional sequencing costs. This mini review provides an overview of copy number variant analysis from exome data and what the current recommendations are for this type of analysis. We also present an overview on rare monogenic disease research standard practices in resource-limited settings. We present evidence that integrating copy number variant detection tools into a standard exome sequencing analysis pipeline improves diagnostic yield and should be considered a significantly beneficial addition, with relatively low-cost implications. Routine implementation in underrepresented populations and limited resource settings will promote generation and sharing of CNV datasets and provide momentum to build core centers for this niche within genomic medicine.
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Affiliation(s)
- Nadja Louw
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nadia Carstens
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Genomics Platform, South African Medical Research Council, Cape Town, South Africa
| | - Zané Lombard
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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Chen Y, Paramo MI, Zhang Y, Yao L, Shah SR, Jin Y, Zhang J, Pan X, Yu H. Finding Needles in the Haystack: Strategies for Uncovering Noncoding Regulatory Variants. Annu Rev Genet 2023; 57:201-222. [PMID: 37562413 DOI: 10.1146/annurev-genet-030723-120717] [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] [Indexed: 08/12/2023]
Abstract
Despite accumulating evidence implicating noncoding variants in human diseases, unraveling their functionality remains a significant challenge. Systematic annotations of the regulatory landscape and the growth of sequence variant data sets have fueled the development of tools and methods to identify causal noncoding variants and evaluate their regulatory effects. Here, we review the latest advances in the field and discuss potential future research avenues to gain a more in-depth understanding of noncoding regulatory variants.
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Affiliation(s)
- You Chen
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, New York, USA;
| | - Mauricio I Paramo
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, New York, USA;
| | - Yingying Zhang
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, New York, USA;
| | - Li Yao
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, New York, USA;
- Department of Computational Biology, Cornell University, Ithaca, New York, USA
| | - Sagar R Shah
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, New York, USA;
| | - Yiyang Jin
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, New York, USA;
| | - Junke Zhang
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, New York, USA;
- Department of Computational Biology, Cornell University, Ithaca, New York, USA
| | - Xiuqi Pan
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, New York, USA;
| | - Haiyuan Yu
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, New York, USA;
- Department of Computational Biology, Cornell University, Ithaca, New York, USA
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Tu T, Fang Z, Cheng Z, Spasic S, Palepu A, Stankovic KM, Natarajan V, Peltz G. Genetic Discovery Enabled by A Large Language Model. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.09.566468. [PMID: 37986848 PMCID: PMC10659415 DOI: 10.1101/2023.11.09.566468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Artificial intelligence (AI) has been used in many areas of medicine, and recently large language models (LLMs) have shown potential utility for clinical applications. However, since we do not know if the use of LLMs can accelerate the pace of genetic discovery, we used data generated from mouse genetic models to investigate this possibility. We examined whether a recently developed specialized LLM (Med-PaLM 2) could analyze sets of candidate genes generated from analysis of murine models of biomedical traits. In response to free-text input, Med-PaLM 2 correctly identified the murine genes that contained experimentally verified causative genetic factors for six biomedical traits, which included susceptibility to diabetes and cataracts. Med-PaLM 2 was also able to analyze a list of genes with high impact alleles, which were identified by comparative analysis of murine genomic sequence data, and it identified a causative murine genetic factor for spontaneous hearing loss. Based upon this Med-PaLM 2 finding, a novel bigenic model for susceptibility to spontaneous hearing loss was developed. These results demonstrate Med-PaLM 2 can analyze gene-phenotype relationships and generate novel hypotheses, which can facilitate genetic discovery.
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Affiliation(s)
- Tao Tu
- Google Research, Mountain View, CA, USA
| | - Zhouqing Fang
- Department of Anesthesiology, Pain and Perioperative Medicine
| | - Zhuanfen Cheng
- Department of Anesthesiology, Pain and Perioperative Medicine
| | - Svetolik Spasic
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | | | - Konstantina M Stankovic
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | | | - Gary Peltz
- Department of Anesthesiology, Pain and Perioperative Medicine
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Ferri-Rufete D, López-González A, Casas-Alba D, Cuadras D, Palau F, Martínez-Monseny A. Clinical Genetics Assessment Triangle (CGAT): A simple tool to identify patients with genetic conditions. Eur J Med Genet 2023; 66:104858. [PMID: 37758166 DOI: 10.1016/j.ejmg.2023.104858] [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: 07/03/2023] [Revised: 09/04/2023] [Accepted: 09/24/2023] [Indexed: 10/03/2023]
Abstract
OBJECTIVE The objective of this study was to develop a simple tool for general physicians to promptly identify and refer pediatric patients with a higher probability of having a genetic condition. STUDY DESIGN This retrospective, descriptive study was conducted at a tertiary pediatric hospital's Clinical Genetics Unit from June 2019 to January 2020. We included patients under 18 years of age who visited the unit, excluding those without genetic testing. Epidemiological, clinical, and genetic variables were collected from electronic medical records. The primary outcome was the diagnosis of a genetic condition based on genetic testing. RESULTS Among 445 patients, 304 were included; 163 (53.6%) were male, and mean age was 7.4 years (SD 5.1 years). A genetic condition was diagnosed in 139 patients (45.7%). Using a multiple logistic regression model, five variables significantly contributed to reaching a diagnosis: suspected diagnosis at referral (OR 3.45, P < 0.001), short stature (OR 3.11, P < 0.001), global developmental delay/intellectual disability (OR 2.65, P < 0.001), dysmorphic craniofacial features (OR 1.99, P = 0.035), and multiple congenital anomalies (OR 2.54, P = 0.033). The association strength (OR) increased when these variables were paired with each other. The study's findings are presented in the form of a triangle, known as the Clinical Genetics Assessment Triangle (CGAT), which summarizes the results. A decision tree model is applied to guide clinical department referrals based on the affected sides of the triangle. CONCLUSIONS The CGAT has the potential to enable general physicians to promptly identify pediatric patients with an increased probability of having a genetic condition.
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Affiliation(s)
- David Ferri-Rufete
- Pediatrics Department, Hospital Sant Joan de Déu, Esplugues de Llobregat, 08950, Spain.
| | - Aitor López-González
- Pediatrics Department, Hospital Sant Joan de Déu, Esplugues de Llobregat, 08950, Spain.
| | - Dídac Casas-Alba
- Department of Genetic Medicine, Pediatric Institute of Rare Diseases (IPER), Hospital Sant Joan de Déu, Esplugues de Llobregat, 08950, Spain.
| | - Daniel Cuadras
- Statistics Department, Fundació Sant Joan de Déu, Esplugues de Llobregat, 08950, Spain.
| | - Francesc Palau
- Department of Genetic Medicine, Pediatric Institute of Rare Diseases (IPER), Hospital Sant Joan de Déu, Esplugues de Llobregat, 08950, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, 28029, Spain.
| | - Antonio Martínez-Monseny
- Department of Genetic Medicine, Pediatric Institute of Rare Diseases (IPER), Hospital Sant Joan de Déu, Esplugues de Llobregat, 08950, Spain.
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Agrawal P, Harish V, Mohd S, Singh SK, Tewari D, Tatiparthi R, Harshita, Vishwas S, Sutrapu S, Dua K, Gulati M. Role of CRISPR/Cas9 in the treatment of Duchenne muscular dystrophy and its delivery strategies. Life Sci 2023; 330:122003. [PMID: 37544379 DOI: 10.1016/j.lfs.2023.122003] [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: 05/14/2023] [Revised: 07/27/2023] [Accepted: 08/03/2023] [Indexed: 08/08/2023]
Abstract
Duchenne muscular dystrophy (DMD) is a neuromuscular disorder brought on by mutations in the DMD gene, which prevent muscle cells from expressing the dystrophin protein. CRISPR/Cas9 technology has evolved as potential option to treat DMD due to its ability to permanently skip exons, restoring the disrupted DMD reading frame and leading to dystrophin restoration. Even though, having potential to treat DMD, the delivery, safety and efficacy of this technology is still challenging. Several delivery methods, including viral vectors, nanoparticles, and electroporation, have been explored to deliver CRISPR/Cas9 to the targeted cells. Despite the potential of CRISPR/Cas9 technology in the treatment of DMD, several limitations need to be addressed. The off-target effects of CRISPR/Cas9 are a major concern that needs to be addressed to avoid unintended mutations. The delivery of CRISPR/Cas9 to the target cells and the immune response due to the viral vectors used for delivery are a few other limitations. The clinical trials of CRISPR/Cas9 for DMD provide valuable insights into the safety and efficacy of this technology in humans and the limitations that need to be known. Therefore, in this review we insightfully discussed the challenges and limitations of CRISPR/Cas9 in the treatment of DMD and delivery strategies used, and the ongoing efforts to overcome these challenges and restore dystrophin expression in DMD patients in the ongoing trials.
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Affiliation(s)
- Pooja Agrawal
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab 144411, India
| | - Vancha Harish
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab 144411, India.
| | - Sharfuddin Mohd
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab 144411, India
| | - Sachin Kumar Singh
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab 144411, India; Faculty of Health, Australian Research Centre in Complementary and Integrative Medicine, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Devesh Tewari
- Department of Pharmacognosy and Phytochemistry, School of Pharmaceutical Sciences, Delhi Pharmaceutical Sciences and Research University, New Delhi 110017, India
| | - Ramanjireddy Tatiparthi
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab 144411, India
| | - Harshita
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab 144411, India
| | - Sukriti Vishwas
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab 144411, India
| | - Srinivas Sutrapu
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab 144411, India
| | - Kamal Dua
- Faculty of Health, Australian Research Centre in Complementary and Integrative Medicine, University of Technology Sydney, Ultimo, NSW 2007, Australia; Discipline of Pharmacy, Graduate School of Health, University of Technology Sydney, Ultimo, NSW 2007, Australia; Uttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, India
| | - Monica Gulati
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab 144411, India; Faculty of Health, Australian Research Centre in Complementary and Integrative Medicine, University of Technology Sydney, Ultimo, NSW 2007, Australia
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Alqahtani AS, Alotibi RS, Aloraini T, Almsned F, Alassali Y, Alfares A, Alhaddad B, Al Eissa MM. Prospect of genetic disorders in Saudi Arabia. Front Genet 2023; 14:1243518. [PMID: 37799141 PMCID: PMC10548463 DOI: 10.3389/fgene.2023.1243518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 08/30/2023] [Indexed: 10/07/2023] Open
Abstract
Introduction: Rare diseases (RDs) create a massive burden for governments and families because sufferers of these diseases are required to undergo long-term treatment or rehabilitation to maintain a normal life. In Saudi Arabia (SA), the prevalence of RDs is high as a result of cultural and socio-economic factors. This study, however, aims to shed light on the genetic component of the prevalence of RDs in SA. Methodology: A retrospective study was conducted between September 2020 and December 2021 at King Saud Medical City, a tertiary hospital of the Ministry of Health (MOH), SA. A total of 1080 individuals with 544 potentially relevant variants were included. The index was 738, and the samples were tested in a commercialized laboratory using different molecular techniques, including next-generation sequencing. Result: A total of 867 molecular genetics tests were conducted on 738 probands. These tests included 610 exome sequencing (ES) tests, four genome sequencing (GS) tests, 82 molecular panels, 106 single nucleotide polymorphism (SNP) array, four methylation studies, 58 single-gene studies and three mitochondrial genome sequencing tests. The diagnostic yield among molecular genetics studies was 41.8% in ES, 24% in panels, 12% in SNP array and 24% in single gene studies. The majority of the identified potential variants (68%) were single nucleotide variants (SNV). Other ascertained variants included frameshift (11%), deletion (10%), duplication (5%), splicing (9%), in-frame deletion (3%) and indels (1%). The rate of positive consanguinity was 56%, and the autosomal recessive accounted for 54%. We found a significant correlation between the ES detection rate and positive consanguinity. We illustrated the presence of rare treatable conditions in DNAJC12, SLC19A3, and ALDH7A1, and the presence of the founder effect variant in SKIC2. Neurodevelopmental disorders were the main phenotype for which genetics studies were required (35.7%). Conclusion: This is the sixth-largest local study reporting next-generation sequencing. The results indicate the influence of consanguineous marriages on genetic disease and the burden it causes for the Kingdom of SA. This study highlights the need to enrich our society's knowledge of genetic disorders. We recommend utilising ES as a first-tier test to establish genetic diagnosis in a highly consanguineous population.
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Affiliation(s)
- Amerh S. Alqahtani
- Medical Genetics Department, King Saud Medical City, Riyadh, Saudi Arabia
| | - Raniah S. Alotibi
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Centre (KAIMRC), Riyadh, Saudi Arabia
- Division of Translational Pathology, Department of Laboratory Medicine, King Abdulaziz Medical City, Department of Genetics, King Abdullah Specialized Children Hospital, MNGHA, Riyadh, Saudi Arabia
| | - Taghrid Aloraini
- Division of Translational Pathology, Department of Laboratory Medicine, King Abdulaziz Medical City, Riyadh, Saudi Arabia
- Department of Genetics, King Abdullah Specialized Children Hospital, MNGHA, Riyadh, Saudi Arabia
| | - Fahad Almsned
- Research Centre, King Fahad Specialist Hospital in Dammam (KFSH-D), Dammam, Saudi Arabia
- Population Health Management, Eastern Health Cluster, Dammam, Saudi Arabia
- Research and Development Department, NovoGenomics, Riyadh, Saudi Arabia
| | - Yara Alassali
- Medical School, AlFaisal University, Riyadh, Saudi Arabia
| | - Ahmed Alfares
- Centre for Genomic Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Bader Alhaddad
- Molecular Genetics Department, King Saud Medical City, Riyadh, Saudi Arabia
- Laboratory Medicine Department, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Al Khobar, Saudi Arabia
| | - Mariam M. Al Eissa
- Medical School, AlFaisal University, Riyadh, Saudi Arabia
- Public Health Authority, Public Health Lab, Molecular Genetics Laboratory, Riyadh, Saudi Arabia
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Chung CCY, Hue SPY, Ng NYT, Doong PHL, Chu ATW, Chung BHY. Meta-analysis of the diagnostic and clinical utility of exome and genome sequencing in pediatric and adult patients with rare diseases across diverse populations. Genet Med 2023; 25:100896. [PMID: 37191093 DOI: 10.1016/j.gim.2023.100896] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 05/07/2023] [Accepted: 05/10/2023] [Indexed: 05/17/2023] Open
Abstract
PURPOSE This meta-analysis aims to compare the diagnostic and clinical utility of exome sequencing (ES) vs genome sequencing (GS) in pediatric and adult patients with rare diseases across diverse populations. METHODS A meta-analysis was conducted to identify studies from 2011 to 2021. RESULTS One hundred sixty-one studies across 31 countries/regions were eligible, featuring 50,417 probands of diverse populations. Diagnostic rates of ES (0.38, 95% CI 0.36-0.40) and GS (0.34, 95% CI 0.30-0.38) were similar (P = .1). Within-cohort comparison illustrated 1.2-times odds of diagnosis by GS over ES (95% CI 0.79-1.83, P = .38). GS studies discovered a higher range of novel genes than ES studies; yet, the rate of variant of unknown significance did not differ (P = .78). Among high-quality studies, clinical utility of GS (0.77, 95% CI 0.64-0.90) was higher than that of ES (0.44, 95% CI 0.30-0.58) (P < .01). CONCLUSION This meta-analysis provides an important update to demonstrate the similar diagnostic rates between ES and GS and the higher clinical utility of GS over ES. With the newly published recommendations for clinical interpretation of variants found in noncoding regions of the genome and the trend of decreasing variant of unknown significance and GS cost, it is expected that GS will be more widely used in clinical settings.
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Affiliation(s)
| | - Shirley P Y Hue
- Hong Kong Genome Institute, Hong Kong Special Administrative Region
| | - Nicole Y T Ng
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Phoenix H L Doong
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Annie T W Chu
- Hong Kong Genome Institute, Hong Kong Special Administrative Region.
| | - Brian H Y Chung
- Hong Kong Genome Institute, Hong Kong Special Administrative Region; Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region.
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Wojcik MH, Reuter CM, Marwaha S, Mahmoud M, Duyzend MH, Barseghyan H, Yuan B, Boone PM, Groopman EE, Délot EC, Jain D, Sanchis-Juan A, Starita LM, Talkowski M, Montgomery SB, Bamshad MJ, Chong JX, Wheeler MT, Berger SI, O'Donnell-Luria A, Sedlazeck FJ, Miller DE. Beyond the exome: What's next in diagnostic testing for Mendelian conditions. Am J Hum Genet 2023; 110:1229-1248. [PMID: 37541186 PMCID: PMC10432150 DOI: 10.1016/j.ajhg.2023.06.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 06/13/2023] [Accepted: 06/14/2023] [Indexed: 08/06/2023] Open
Abstract
Despite advances in clinical genetic testing, including the introduction of exome sequencing (ES), more than 50% of individuals with a suspected Mendelian condition lack a precise molecular diagnosis. Clinical evaluation is increasingly undertaken by specialists outside of clinical genetics, often occurring in a tiered fashion and typically ending after ES. The current diagnostic rate reflects multiple factors, including technical limitations, incomplete understanding of variant pathogenicity, missing genotype-phenotype associations, complex gene-environment interactions, and reporting differences between clinical labs. Maintaining a clear understanding of the rapidly evolving landscape of diagnostic tests beyond ES, and their limitations, presents a challenge for non-genetics professionals. Newer tests, such as short-read genome or RNA sequencing, can be challenging to order, and emerging technologies, such as optical genome mapping and long-read DNA sequencing, are not available clinically. Furthermore, there is no clear guidance on the next best steps after inconclusive evaluation. Here, we review why a clinical genetic evaluation may be negative, discuss questions to be asked in this setting, and provide a framework for further investigation, including the advantages and disadvantages of new approaches that are nascent in the clinical sphere. We present a guide for the next best steps after inconclusive molecular testing based upon phenotype and prior evaluation, including when to consider referral to research consortia focused on elucidating the underlying cause of rare unsolved genetic disorders.
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Affiliation(s)
- Monica H Wojcik
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Chloe M Reuter
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Shruti Marwaha
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Medhat Mahmoud
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA
| | - Michael H Duyzend
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Hayk Barseghyan
- Center for Genetics Medicine Research, Children's National Research Institute, Children's National Hospital, Washington, DC 20010, USA; Department of Genomics and Precision Medicine, School of Medicine and Health Sciences, George Washington University, Washington, DC 20037, USA
| | - Bo Yuan
- Department of Molecular and Human Genetics and Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA
| | - Philip M Boone
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Emily E Groopman
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Emmanuèle C Délot
- Department of Genomics and Precision Medicine, School of Medicine and Health Sciences, George Washington University, Washington, DC 20037, USA; Center for Genetics Medicine Research, Children's National Research and Innovation Campus, Washington, DC, USA; Department of Pediatrics, George Washington University, School of Medicine and Health Sciences, George Washington University, Washington, DC 20037, USA
| | - Deepti Jain
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA 98195, USA
| | - Alba Sanchis-Juan
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Lea M Starita
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Michael Talkowski
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Stephen B Montgomery
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Michael J Bamshad
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA
| | - Jessica X Chong
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA; Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA
| | - Matthew T Wheeler
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Seth I Berger
- Center for Genetics Medicine Research and Rare Disease Institute, Children's National Hospital, Washington, DC 20010, USA
| | - Anne O'Donnell-Luria
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA; Department of Computer Science, Rice University, 6100 Main Street, Houston, TX 77005, USA
| | - Danny E Miller
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA; Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA.
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Schneider S, Schierbaum L, Burger WAC, Seltzsam S, Wang C, Zheng B, Wilfried Wu CH, Nakayama M, Connaughton DM, Mann N, Shril S, Shalaby MA, Kari JA, ElDesoky S, Tasic V, Eid LA, Thal DM, Hildebrandt F. Recessive CHRM5 variant as a potential cause of neurogenic bladder. Am J Med Genet A 2023; 191:2083-2091. [PMID: 37213061 PMCID: PMC10527291 DOI: 10.1002/ajmg.a.63241] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 04/17/2023] [Accepted: 04/29/2023] [Indexed: 05/23/2023]
Abstract
Neurogenic bladder is caused by disruption of neuronal pathways regulating bladder relaxation and contraction. In severe cases, neurogenic bladder can lead to vesicoureteral reflux, hydroureter, and chronic kidney disease. These complications overlap with manifestations of congenital anomalies of the kidney and urinary tract (CAKUT). To identify novel monogenic causes of neurogenic bladder, we applied exome sequencing (ES) to our cohort of families with CAKUT. By ES, we have identified a homozygous missense variant (p.Gln184Arg) in CHRM5 (cholinergic receptor, muscarinic, 5) in a patient with neurogenic bladder and secondary complications of CAKUT. CHRM5 codes for a seven transmembrane-spanning G-protein-coupled muscarinic acetylcholine receptor. CHRM5 is shown to be expressed in murine and human bladder walls and is reported to cause bladder overactivity in Chrm5 knockout mice. We investigated CHRM5 as a potential novel candidate gene for neurogenic bladder with secondary complications of CAKUT. CHRM5 is similar to the cholinergic bladder neuron receptor CHRNA3, which Mann et al. published as the first monogenic cause of neurogenic bladder. However, functional in vitro studies did not reveal evidence to strengthen the status as a candidate gene. Discovering additional families with CHRM5 variants could help to further assess the genes' candidate status.
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Affiliation(s)
- Sophia Schneider
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Luca Schierbaum
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Wessel A. C. Burger
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia
| | - Steve Seltzsam
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Chunyan Wang
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Bixia Zheng
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Chen-Han Wilfried Wu
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
- Division of Genetics and Genomics, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Urology and Genetics and Genome Sciences, Case Western Reserve University Hospital, Cleveland, OH 44106, USA
| | - Makiko Nakayama
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Dervla M. Connaughton
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Nina Mann
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Shirlee Shril
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
| | - Mohamed A. Shalaby
- Department of Pediatrics, Pediatric Nephrology Unit, Pediatric Nephrology Center of Excellence, Faculty of Medicine, King Abdulaziz University Hospital, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
| | - Jameela A. Kari
- Department of Pediatrics, Pediatric Nephrology Unit, Pediatric Nephrology Center of Excellence, Faculty of Medicine, King Abdulaziz University Hospital, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
| | - Sherif ElDesoky
- Department of Pediatrics, Pediatric Nephrology Unit, Pediatric Nephrology Center of Excellence, Faculty of Medicine, King Abdulaziz University Hospital, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
| | - Velibor Tasic
- Pediatric Nephrology, University Children’s Hospital, University of Skopje Medical Faculty, Skopje, North Macedonia
| | - Loai A. Eid
- Pediatric Nephrology Department, Dubai Hospital, Dubai, United Arab Emirates
| | - David M. Thal
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia
| | - Friedhelm Hildebrandt
- Division of Nephrology, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, 01225, USA
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Dolanc Merc M, Peterlin B, Lovrecic L. The genetic approach to stillbirth: A »systematic review«. Prenat Diagn 2023; 43:1220-1228. [PMID: 37072878 DOI: 10.1002/pd.6354] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/27/2023] [Accepted: 04/09/2023] [Indexed: 04/20/2023]
Abstract
Unexplained stillbirth is defined as a stillbirth with no known cause after the exclusion of common causes, including obstetric complications, infections, placental insufficiency or abruption, umbilical cord complications, and congenital abnormalities with or without known genetic cause. More than 60% of stillbirth cases remain unexplained. The aim of this systematic review was to investigate the known genetic causes of unexplained stillbirth cases and to evaluate the current position and future directions for the use of genetic and genomic testing in expanding the knowledge in this field. A systematic search through several databases was performed using the keywords genetics and stillbirths in humans. Different methods to detect various types of causal genetic aberrations have been used in the past decades, from standard karyotyping to novel methods such as chromosomal microarray analysis and next generation sequencing technologies. Apart from common chromosomal aneuploidies, a promising hypothesis about genetic causes included genes related to cardiomyopathies and channelopathies. However, these were tested in the research settings, since molecular karyotyping is currently the standard approach in the routine evaluation of genetic causes of stillbirth. Hereby, we provide evidence that expanding knowledge using novel genetic and genomic testing might uncover new genetic causes of unexplained stillbirth.
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Affiliation(s)
- Maja Dolanc Merc
- Department of Perinatology, Division of Obstetrics and Gynecology, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Borut Peterlin
- Clinical Institute for Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Luca Lovrecic
- Clinical Institute for Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
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47
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Ma Q, Che L, Chen Y, Gu Z. Identification of five novel variants of ADAR1 in dyschromatosis symmetrica hereditaria by next-generation sequencing. Front Pediatr 2023; 11:1161502. [PMID: 37476031 PMCID: PMC10354868 DOI: 10.3389/fped.2023.1161502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 06/13/2023] [Indexed: 07/22/2023] Open
Abstract
Background Dyschromatosis symmetrica hereditaria (DSH) is a rare autosomal dominant inherited pigmentary dermatosis characterized by a mixture of hyperpigmented and hypopigmented freckles on the dorsal aspect of the distal extremities. To date, pathogenic mutations causing DSH have been identified in the adenosine deaminase acting on RNA1 gene (ADAR1), which is mapped to chromosome 1q21. Objective The present study aimed to investigate the underlying pathological mechanism in 14 patients with DSH from five unrelated Chinese families. Next-generation sequencing (NGS) and direct sequencing were performed on a proband with DSH to identify causative mutations. All coding, adjacent intronic, and 5'- and 3'-untranslated regions of ADAR1 were screened, and variants were identified. Result These mutations consisted of three missense mutations (NM_001025107: c.716G>A, NM_001111.5: c.3384G>C, and NM_001111.5: c.3385T>G), one nonsense mutation (NM_001111.5:c.511G>T), and one splice-site mutation (NM_001111.5: c.2080-1G>T) located in exon 2, exon 14, and the adjacent intronic region according to recommended Human Genome Variation Society (HGVS) nomenclature. Moreover, using polymerase chain reaction and Sanger sequencing, we identified five novel ADAR1 variants, which can be predicted to be pathogenic by in silico genome sequence analysis. Among the mutations, the missense mutations had no significant effect on the spatial structure of the protein, while the stop codon introduced by the nonsense mutation truncated the protein. Conclusion Our results highlighted that the advent of NGS has facilitated high-throughput screening for the identification of disease-causing mutations with high accuracy, stability, and specificity. Five novel genetic mutations were found in five unrelated families, thereby extending the pathogenic mutational spectrum of ADAR1 in DSH and providing new insights into this complex genetic disorder.
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Affiliation(s)
- Qian Ma
- Genetic and Prenatal Diagnosis Center, Department of Gynecology and Obstetrics, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | - Lingyi Che
- Genetic and Prenatal Diagnosis Center, Department of Gynecology and Obstetrics, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | - Yibing Chen
- Genetic and Prenatal Diagnosis Center, Department of Gynecology and Obstetrics, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | - Zhuoyu Gu
- Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
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48
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Affiliation(s)
- Bruna Gomes
- From the Departments of Medicine, Genetics, and Biomedical Data Science, Stanford University, Stanford, CA (B.G., E.A.A.); and the Department of Cardiology, Pneumology, and Angiology, Heidelberg University Hospital, Heidelberg, Germany (B.G.)
| | - Euan A Ashley
- From the Departments of Medicine, Genetics, and Biomedical Data Science, Stanford University, Stanford, CA (B.G., E.A.A.); and the Department of Cardiology, Pneumology, and Angiology, Heidelberg University Hospital, Heidelberg, Germany (B.G.)
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49
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Chen X, Liao L, Wu Y, Xiang L, Qin Y, Luo M, Lin F. Genetic mutation analysis of hereditary spherocytosis in Guangxi Zhuang Autonomous Region. J Hematop 2023; 16:95-101. [PMID: 38175446 DOI: 10.1007/s12308-023-00545-8] [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: 09/21/2022] [Accepted: 04/10/2023] [Indexed: 01/05/2024] Open
Abstract
Hereditary spherocytosis (HS) is a common, hereditary hemolytic anemia (HHA) that is attributed to the disturbance of five erythrocyte membrane proteins. HS is also common in Guangxi, China. Target region capture high-throughput sequencing technology was used to analyze genetic mutations found in HS patients. Pedigree analysis was also performed, in some cases, to provide an optimized approach for the etiological diagnosis of complex, hereditary hemolytic anemia. Blood samples from the probands and their families were assessed by laboratory tests, target region capture high-throughput sequencing technology, and Sanger sequencing. We detected 79 HS patients from 37 unrelated families. The mutations observed in these patients were found mainly in four HS-related genes. These included SLC4A1, which was mutated in 31.65% of patients (25/79), SPTA1 (30.78% (24/79)), EPB42 (6.33% (5/79)), and SPTB (5.06% (4/79)). Composite genotype was observed in 26.58% (21/79) of patients and included mutations in two or more HS-related genes or mutations in HS-related genes combined with thalassemia or G6PD deficiency. No significant differences in clinical symptoms were found among patients of various genotypes except total bilirubin. Mean reticulocyte volume (MRV) and mean sphered cell volume (MSCV) of the composite genotype were significantly different from other groups. A total of 28 mutation types were found in HS-related genes. Using high-throughput sequencing technology, we also found some cases that had been misdiagnosed. MRV and MSCV are more significant in compound mutations as sensitive determinants of HS. High-throughput sequencing technology can be used to provide a more effective etiological diagnostic method for HS, with high efficiency and specificity.
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Affiliation(s)
- Xingyuan Chen
- Key Laboratory of Clinical Laboratory Medicine of GuangxiDepartment of EducationDepartment of Clinical Laboratory, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Department of Laboratory Medicine, Guangxi Hospital Division of The First Affiliated Hospital, Sun Yat-Sen University, Nanning, Guangxi, China
| | - Lin Liao
- Key Laboratory of Clinical Laboratory Medicine of GuangxiDepartment of EducationDepartment of Clinical Laboratory, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yangyang Wu
- Key Laboratory of Clinical Laboratory Medicine of GuangxiDepartment of EducationDepartment of Clinical Laboratory, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Liqun Xiang
- Key Laboratory of Clinical Laboratory Medicine of GuangxiDepartment of EducationDepartment of Clinical Laboratory, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yumei Qin
- Key Laboratory of Clinical Laboratory Medicine of GuangxiDepartment of EducationDepartment of Clinical Laboratory, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Meiling Luo
- Key Laboratory of Clinical Laboratory Medicine of GuangxiDepartment of EducationDepartment of Clinical Laboratory, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Faquan Lin
- Key Laboratory of Clinical Laboratory Medicine of GuangxiDepartment of EducationDepartment of Clinical Laboratory, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
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50
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Heshmatzad K, Naderi N, Maleki M, Abbasi S, Ghasemi S, Ashrafi N, Fazelifar AF, Mahdavi M, Kalayinia S. Role of non-coding variants in cardiovascular disease. J Cell Mol Med 2023; 27:1621-1636. [PMID: 37183561 PMCID: PMC10273088 DOI: 10.1111/jcmm.17762] [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: 10/31/2022] [Revised: 03/29/2023] [Accepted: 04/25/2023] [Indexed: 05/16/2023] Open
Abstract
Cardiovascular diseases (CVDs) constitute one of the significant causes of death worldwide. Different pathological states are linked to CVDs, which despite interventions and treatments, still have poor prognoses. The genetic component, as a beneficial tool in the risk stratification of CVD development, plays a role in the pathogenesis of this group of diseases. The emergence of genome-wide association studies (GWAS) have led to the identification of non-coding parts associated with cardiovascular traits and disorders. Variants located in functional non-coding regions, including promoters/enhancers, introns, miRNAs and 5'/3' UTRs, account for 90% of all identified single-nucleotide polymorphisms associated with CVDs. Here, for the first time, we conducted a comprehensive review on the reported non-coding variants for different CVDs, including hypercholesterolemia, cardiomyopathies, congenital heart diseases, thoracic aortic aneurysms/dissections and coronary artery diseases. Additionally, we present the most commonly reported genes involved in each CVD. In total, 1469 non-coding variants constitute most reports on familial hypercholesterolemia, hypertrophic cardiomyopathy and dilated cardiomyopathy. The application and identification of non-coding variants are beneficial for the genetic diagnosis and better therapeutic management of CVDs.
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Affiliation(s)
- Katayoun Heshmatzad
- Rajaie Cardiovascular Medical and Research CenterIran University of Medical SciencesTehranIran
| | - Niloofar Naderi
- Cardiogenetic Research Center, Rajaie Cardiovascular Medical and Research CenterIran University of Medical SciencesTehranIran
| | - Majid Maleki
- Rajaie Cardiovascular Medical and Research CenterIran University of Medical SciencesTehranIran
| | - Shiva Abbasi
- Rajaie Cardiovascular Medical and Research CenterIran University of Medical SciencesTehranIran
| | - Serwa Ghasemi
- Cardiogenetic Research Center, Rajaie Cardiovascular Medical and Research CenterIran University of Medical SciencesTehranIran
| | - Nooshin Ashrafi
- Cardiogenetic Research Center, Rajaie Cardiovascular Medical and Research CenterIran University of Medical SciencesTehranIran
| | - Amir Farjam Fazelifar
- Rajaie Cardiovascular Medical and Research CenterIran University of Medical SciencesTehranIran
| | - Mohammad Mahdavi
- Rajaie Cardiovascular Medical and Research CenterIran University of Medical SciencesTehranIran
| | - Samira Kalayinia
- Cardiogenetic Research Center, Rajaie Cardiovascular Medical and Research CenterIran University of Medical SciencesTehranIran
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