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Caliment A, Van Reeth O, Hougardy C, Dahan K, Niel O. A step-by-step, multidisciplinary strategy to maximize the yield of genetic testing in pediatric patients with chronic kidney diseases. Pediatr Nephrol 2024; 39:2733-2740. [PMID: 38316682 DOI: 10.1007/s00467-024-06299-4] [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] [Received: 08/04/2023] [Revised: 01/10/2024] [Accepted: 01/10/2024] [Indexed: 02/07/2024]
Abstract
BACKGROUND The use of genetic testing in pediatric patients with chronic kidney diseases (CKD) has increased exponentially in the past few years, particularly with the emergence of novel sequencing techniques. However, the genetic yield remains unexpectedly low in nephrology, with an impact on diagnosis, prognosis and treatment. Moreover, the increasing diversity of genetic testing possibilities can be seen as an obstacle by clinicians, in the absence of a strong background in genetics. Here, we propose a step-by-step, multidisciplinary strategy for the diagnostic evaluation of pediatric patients with CKD, and appropriate genetic test selection to maximize the yield of genetic testing. METHODS A total of 126 pediatric patients were enrolled in a retrospective file analysis. Genetic testing techniques used included phenotype-associated next-generation panel sequencing (N = 41), Sanger and SNaPshot sequencing (N = 3) and/or whole exome sequencing (N = 2). RESULTS Overall genetic yield reached 63% and genetic testing significantly impacted patient management in 70%. The distribution of kidney diseases among patients was balanced and matched previously described pediatric cohorts in terms of glomerulopathies, tubulopathies and ciliopathies. Genetic analyses led to significant treatment modifications, kidney biopsy sparing and personalized nephroprotection, as well as tailored genetic counseling. Of note, the evaluation of Human Phenotype Ontology term accuracy in the cohort showed that causal mutations were precisely identified in 85% of the patients at most. CONCLUSION Here we suggest a step-by-step, multidisciplinary strategy to maximize the yield of genetic testing in pediatric patients with CKD. This approach optimizes patient care while avoiding unnecessary treatments or procedures.
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Affiliation(s)
- Ancuta Caliment
- Pediatric Nephrology, Centre Hospitalier de Luxembourg, 4 Rue Barblé, L1210, Luxembourg, Luxembourg.
| | - Olil Van Reeth
- Pediatric Nephrology, Centre Hospitalier de Luxembourg, 4 Rue Barblé, L1210, Luxembourg, Luxembourg
| | - Charlotte Hougardy
- Center of Human Genetics, Institut de Pathologie Et de Génétique, Gosselies, Belgium
| | - Karin Dahan
- Center of Human Genetics, Institut de Pathologie Et de Génétique, Gosselies, Belgium
- Laboratoire National de Santé, 1 Rue Louis Rech, L3555, Dudelange, Luxembourg
| | - Olivier Niel
- Pediatric Nephrology, Centre Hospitalier de Luxembourg, 4 Rue Barblé, L1210, Luxembourg, Luxembourg
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2
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Dai R, Wang C, Shen Q, Xu H. The emerging role of clinical genetics in pediatric patients with chronic kidney disease. Pediatr Nephrol 2024; 39:2549-2553. [PMID: 38502225 DOI: 10.1007/s00467-024-06329-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 02/06/2024] [Accepted: 02/23/2024] [Indexed: 03/21/2024]
Affiliation(s)
- Rufeng Dai
- Department of Nephrology, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China
| | - Chunyan Wang
- Department of Nephrology, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China
| | - Qian Shen
- Department of Nephrology, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China
| | - Hong Xu
- Department of Nephrology, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.
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Beltcheva O, Kamenarova K, Zlatanova G, Mihova K, Roussinov D, Kachakova D, Georgiev M, Nikolova E, Gaydarova M, Mitev V, Kaneva R. Introducing Exome Sequencing as Part of the Diagnostic Algorithm for Pediatric Nephrology Patients in Bulgaria: A Single-Center Experience. Nephron Clin Pract 2024; 148:643-656. [PMID: 38547852 DOI: 10.1159/000538172] [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: 02/24/2024] [Indexed: 09/14/2024] Open
Abstract
INTRODUCTION In pediatric kidney patients, where clinical presentation is often not fully developed, and renal biopsy is too risky or inconclusive, it may be difficult to establish the underlying pathology. In cases such as these, genetic diagnosis may be used to guide treatment, prognosis, and counseling. Given the large number of genes involved in kidney disease, introducing next-generation sequencing with extended gene panels as part of the diagnostic algorithm presents a viable solution. METHODS A cohort of 87 consecutive independent cases (83 children and 4 terminated pregnancies) with renal disease was recruited. Exome sequencing with MiSeq or NovaSeq 6000 (Illumina) platforms and analysis of extended gene panels were used for genetic testing. RESULTS Depending on the presenting pathology, the cases were grouped as patients with glomerular disease, ciliopathies, congenital anomalies, renal electrolyte imbalances, and chronic/acute kidney disease. The overall diagnostic yield was approximately 42% (37 out of 87), with most disease-causing mutations found in COL4A3, COL4A4, COL4A5, and PKHD1 genes. A change or clarification of preliminary diagnosis or adjustment of initial treatment plan based on the results of the genetic testing was made for approximately one-third of the children with meaningful genetic findings (11 out of 37). DISCUSSION Our results prove the value of targeted exome sequencing as a non-invasive, versatile, and reliable diagnostic tool for pediatric renal disease patients. Providing genetic diagnosis will help for a better understanding of disease etiology and will give the basis for optimal clinical management and insightful genetic counseling.
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Affiliation(s)
- Olga Beltcheva
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
| | - Kunka Kamenarova
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
- Genomic Diagnostic Laboratory, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
| | - Galia Zlatanova
- SBAL Pediatric Diseases, Department of Pediatrics, Medical University of Sofia, Sofia, Bulgaria
| | - Kalina Mihova
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
- Genomic Diagnostic Laboratory, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
| | | | - Darina Kachakova
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
- Genomic Diagnostic Laboratory, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
| | - Martin Georgiev
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
- Genomic Diagnostic Laboratory, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
| | - Elena Nikolova
- SBAL Pediatric Diseases, Department of Pediatrics, Medical University of Sofia, Sofia, Bulgaria
| | - Maria Gaydarova
- SBAL Pediatric Diseases, Department of Pediatrics, Medical University of Sofia, Sofia, Bulgaria
| | - Vanio Mitev
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
| | - Radka Kaneva
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
- Genomic Diagnostic Laboratory, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
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Jefferis J, Mallett AJ. Exploring the impact and utility of genomic sequencing in established CKD. Clin Kidney J 2024; 17:sfae043. [PMID: 38464959 PMCID: PMC10921391 DOI: 10.1093/ckj/sfae043] [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: 10/09/2023] [Indexed: 03/12/2024] Open
Abstract
Clinical genetics is increasingly recognized as an important area within nephrology care. Clinicians require awareness of genetic kidney disease to recognize clinical phenotypes, consider use of genomics to aid diagnosis, and inform treatment decisions. Understanding the broad spectrum of clinical phenotypes and principles of genomic sequencing is becoming increasingly required in clinical nephrology, with nephrologists requiring education and support to achieve meaningful patient outcomes. Establishment of effective clinical resources, multi-disciplinary teams and education is important to increase application of genomics in clinical care, for the benefit of patients and their families. Novel applications of genomics in chronic kidney disease include pharmacogenomics and clinical translation of polygenic risk scores. This review explores established and emerging impacts and utility of genomics in kidney disease.
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Affiliation(s)
- Julia Jefferis
- Genetic Health Queensland, Royal Brisbane and Women's Hospital, Brisbane, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Kidney Health Service, Royal Brisbane and Women's Hospital, Brisbane, Australia
| | - Andrew J Mallett
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
- Department of Renal Medicine, Townsville University Hospital, Douglas, Australia
- College of Medicine and Dentistry, James Cook University, Douglas, Australia
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Wu Y, Jayasinghe K, Stark Z, Quinlan C, Patel C, McCarthy H, Mallawaarachchi AC, Kerr PG, Alexander S, Mallett AJ, Goranitis I. Genomic testing for suspected monogenic kidney disease in children and adults: A health economic evaluation. Genet Med 2023; 25:100942. [PMID: 37489581 DOI: 10.1016/j.gim.2023.100942] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 07/17/2023] [Accepted: 07/18/2023] [Indexed: 07/26/2023] Open
Abstract
PURPOSE To assess the relative cost-effectiveness of genomic testing compared with standard non-genomic diagnostic investigations in patients with suspected monogenic kidney disease from an Australian health care system perspective. METHODS Diagnostic and clinical information was used from a national cohort of 349 participants. Simulation modelling captured diagnostic, health, and economic outcomes during a time horizon from clinical presentation until 3 months post-test results based on the outcome of cost per additional diagnosis and lifetime horizon based on cost per quality-adjusted life-year (QALY) gained. RESULTS Genomic testing was Australian dollars (AU$) 1600 more costly per patient and led to an additional 27 diagnoses out of a 100 individuals tested, resulting in an incremental cost-effectiveness ratio of AU$5991 per additional diagnosis. Using a lifetime horizon, genomic testing resulted in an additional cost of AU$438 and 0.04 QALYs gained per individual compared with standard diagnostic investigations, corresponding to an incremental cost-effectiveness ratio of AU$10,823 per QALY gained. Sub-group analyses identified that the results were largely driven by the cost-effectiveness in glomerular diseases. CONCLUSION Based on established or expected thresholds of cost-effectiveness, our evidence suggests that genomic testing is very likely to be cost saving for individuals with suspected glomerular diseases, whereas no evidence of cost-effectiveness was found for non-glomerular diseases.
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Affiliation(s)
- You Wu
- Health Economics Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia; Australian Genomics Health Alliance, Melbourne, VIC, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Kushani Jayasinghe
- Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Nephrology, Monash Medical Centre, Melbourne, Australia; Monash University, Melbourne, Australia; The KidGen Collaborative, Australian Genomics Health Alliance, Melbourne, Australia
| | - Zornitza Stark
- Australian Genomics Health Alliance, Melbourne, VIC, Australia; Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Australia; Department of Pediatrics, University of Melbourne, Melbourne, Australia
| | - Catherine Quinlan
- Murdoch Children's Research Institute, Melbourne, VIC, Australia; The KidGen Collaborative, Australian Genomics Health Alliance, Melbourne, Australia; Department of Pediatrics, University of Melbourne, Melbourne, Australia; Department of Pediatric Nephrology, Royal Children's Hospital, Melbourne, Australia
| | - Chirag Patel
- The KidGen Collaborative, Australian Genomics Health Alliance, Melbourne, Australia; Genetic Health Queensland, Royal Brisbane and Women's Hospital, Brisbane, Australia
| | - Hugh McCarthy
- Centre for Kidney Research, Children's Hospital at Westmead, Sydney, Australia; Sydney Children's Hospitals Network, Sydney, Australia; Faculty of Medicine, The University of Sydney, Sydney, Australia
| | - Amali C Mallawaarachchi
- Department of Medical Genetics, Royal Prince Alfred Hospital, Sydney, Australia; Garvan Institute of Medical Research, Sydney, Australia
| | - Peter G Kerr
- Department of Nephrology, Monash Medical Centre, Melbourne, Australia; Monash University, Melbourne, Australia
| | - Stephen Alexander
- Centre for Kidney Research, Children's Hospital at Westmead, Sydney, Australia; Sydney Children's Hospitals Network, Sydney, Australia; Faculty of Medicine, The University of Sydney, Sydney, Australia
| | - Andrew J Mallett
- The KidGen Collaborative, Australian Genomics Health Alliance, Melbourne, Australia; Institute for Molecular Bioscience and Faculty of Medicine, The University of Queensland, Brisbane, Australia; Department of Renal Medicine, Townsville University Hospital, Townsville, Australia; College of Medicine & Dentistry, James Cook University, Townsville, Australia.
| | - Ilias Goranitis
- Health Economics Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia; Australian Genomics Health Alliance, Melbourne, VIC, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia; The KidGen Collaborative, Australian Genomics Health Alliance, Melbourne, Australia.
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Becherucci F, Landini S, Palazzo V, Cirillo L, Raglianti V, Lugli G, Tiberi L, Dirupo E, Bellelli S, Mazzierli T, Lomi J, Ravaglia F, Sansavini G, Allinovi M, Giannese D, Somma C, Spatoliatore G, Vergani D, Artuso R, Rosati A, Cirami C, Dattolo PC, Campolo G, De Chiara L, Papi L, Vaglio A, Lazzeri E, Anders HJ, Mazzinghi B, Romagnani P. A Clinical Workflow for Cost-Saving High-Rate Diagnosis of Genetic Kidney Diseases. J Am Soc Nephrol 2023; 34:706-720. [PMID: 36753701 PMCID: PMC10103218 DOI: 10.1681/asn.0000000000000076] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 12/19/2022] [Indexed: 01/22/2023] Open
Abstract
SIGNIFICANCE STATEMENT To optimize the diagnosis of genetic kidney disorders in a cost-effective manner, we developed a workflow based on referral criteria for in-person evaluation at a tertiary center, whole-exome sequencing, reverse phenotyping, and multidisciplinary board analysis. This workflow reached a diagnostic rate of 67%, with 48% confirming and 19% modifying the suspected clinical diagnosis. We obtained a genetic diagnosis in 64% of children and 70% of adults. A modeled cost analysis demonstrated that early genetic testing saves 20% of costs per patient. Real cost analysis on a representative sample of 66 patients demonstrated an actual cost reduction of 41%. This workflow demonstrates feasibility, performance, and economic effect for the diagnosis of genetic kidney diseases in a real-world setting. BACKGROUND Whole-exome sequencing (WES) increases the diagnostic rate of genetic kidney disorders, but accessibility, interpretation of results, and costs limit use in daily practice. METHODS Univariable analysis of a historical cohort of 392 patients who underwent WES for kidney diseases showed that resistance to treatments, familial history of kidney disease, extrarenal involvement, congenital abnormalities of the kidney and urinary tract and CKD stage ≥G2, two or more cysts per kidney on ultrasound, persistent hyperechoic kidneys or nephrocalcinosis on ultrasound, and persistent metabolic abnormalities were most predictive for genetic diagnosis. We prospectively applied these criteria to select patients in a network of nephrology centers, followed by centralized genetic diagnosis by WES, reverse phenotyping, and multidisciplinary board discussion. RESULTS We applied this multistep workflow to 476 patients with eight clinical categories (podocytopathies, collagenopathies, CKD of unknown origin, tubulopathies, ciliopathies, congenital anomalies of the kidney and urinary tract, syndromic CKD, metabolic kidney disorders), obtaining genetic diagnosis for 319 of 476 patients (67.0%) (95% in 21 patients with disease onset during the fetal period or at birth, 64% in 298 pediatric patients, and 70% in 156 adult patients). The suspected clinical diagnosis was confirmed in 48% of the 476 patients and modified in 19%. A modeled cost analysis showed that application of this workflow saved 20% of costs per patient when performed at the beginning of the diagnostic process. Real cost analysis of 66 patients randomly selected from all categories showed actual cost reduction of 41%. CONCLUSIONS A diagnostic workflow for genetic kidney diseases that includes WES is cost-saving, especially if implemented early, and is feasible in a real-world setting.
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Affiliation(s)
- Francesca Becherucci
- Nephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Florence, Italy
- Department of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Samuela Landini
- Medical Genetics Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Viviana Palazzo
- Medical Genetics Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Luigi Cirillo
- Nephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Florence, Italy
- Department of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Valentina Raglianti
- Nephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Florence, Italy
- Department of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Gianmarco Lugli
- Nephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Florence, Italy
- Department of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Lucia Tiberi
- Department of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, Italy
- Medical Genetics Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Elia Dirupo
- Medical Genetics Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | | | - Tommaso Mazzierli
- Nephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Jacopo Lomi
- Nephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | | | - Giulia Sansavini
- Nephrology and Dialysis Unit, Santo Stefano Hospital, Prato, Italy
| | - Marco Allinovi
- Nephrology, Dialysis and Transplantation Unit, Careggi University Hospital, Florence, Italy
| | | | - Chiara Somma
- Nephrology Unit Florence 1, Santa Maria Annunziata Hospital, Bagno a Ripoli, Florence, Italy
| | - Giuseppe Spatoliatore
- Nephrology and Dialysis Unit, San Giovanni di Dio Hospital, AUSL Toscana Centro, Florence, Italy
| | - Debora Vergani
- Medical Genetics Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Rosangela Artuso
- Medical Genetics Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Alberto Rosati
- Nephrology and Dialysis Unit, San Giovanni di Dio Hospital, AUSL Toscana Centro, Florence, Italy
| | - Calogero Cirami
- Nephrology, Dialysis and Transplantation Unit, Careggi University Hospital, Florence, Italy
| | - Pietro Claudio Dattolo
- Nephrology Unit Florence 1, Santa Maria Annunziata Hospital, Bagno a Ripoli, Florence, Italy
| | - Gesualdo Campolo
- Nephrology and Dialysis Unit, Santo Stefano Hospital, Prato, Italy
| | - Letizia De Chiara
- Department of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Laura Papi
- Department of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Augusto Vaglio
- Nephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Florence, Italy
- Department of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Elena Lazzeri
- Department of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, Italy
| | - Hans-Joachim Anders
- Division of Nephrology, Medizinische Klinik and Poliklinik IV, Klinikum der LMU München, Munich, Germany
| | - Benedetta Mazzinghi
- Nephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| | - Paola Romagnani
- Nephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Florence, Italy
- Department of Biomedical, Experimental and Clinical Sciences “Mario Serio,” University of Florence, Florence, Italy
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Zhu T, Shen Y, Sun Z, Han X, Wei X, Li W, Lu C, Cheng T, Zou X, Li H, Cao Z, Gao H, Ma X, Luo M, Sui R. Clinical and Molecular Features of a Chinese Cohort With Syndromic and Nonsyndromic Retinal Dystrophies Related to the CEP290 Gene. Am J Ophthalmol 2023; 248:96-106. [PMID: 36493848 DOI: 10.1016/j.ajo.2022.11.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 11/08/2022] [Accepted: 11/29/2022] [Indexed: 12/12/2022]
Abstract
PURPOSE To reveal the clinical and genetic features of 54 Chinese pedigrees with syndromic or nonsyndromic retinal dystrophies related to CEP290 and to explore the genotype-phenotype correlation. DESIGN Retrospective cohort study. METHODS Patients diagnosed with nonsyndromic inherited retinal dystrophy (IRD) or syndromic ciliopathy (SCP) were enrolled. We identified 61 patients from 54 families carrying biallelic pathogenic CEP290 variants using next-generation sequencing, Sanger sequencing, and co-segregation validation. Genotype-phenotype correlation was evaluated. RESULTS This study included 37 IRD patients from 32 families and 24 patients with SCP from 22 pedigrees. Four retinal dystrophy phenotypes were confirmed: Leber congenital amaurosis (LCA, 46/61), early-onset severe retinal dystrophy (EOSRD, 4/61), retinitis pigmentosa (RP, 10/61), and cone-rod dystrophy (CORD, 1/61). The SCP phenotypes included Joubert syndrome (JS) (23/24) and Bardet-Biedl syndrome (BBS) (1/24). We detected 73 different CEP290 variants, of which 33 (45.2%) were not previously reported. Two novel copy number variations (CNVs) and 1 novel pathogenic synonymous change were identified. The most recurrent alterations in the IRD and SCP were p.Q123* (6/64, 9.4%) and p.I556Ffs*17 (10/44, 22.7%), respectively. IRD patients carried more stop-gain alleles (25/64, 39.1%), whereas SCP patients carried more frameshift alleles (23/44, 52.3%). CONCLUSIONS LCA was the most common retinal dystrophy phenotype, and JS was the most prevalent syndrome in CEP290 patients; RP/CORD and BBS may be present in early adulthood. The hot spot variants and distribution of genotypes were distinct between IRD and SCP. Our study expands the CEP290 variant spectrum and enhances the current knowledge of CEP290 heterogeneity.
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Affiliation(s)
- Tian Zhu
- From the Department of Ophthalmology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (T.Z., Z.S., X.H., X.W., W.L., X.Z., H.L., R.S.)
| | - Yue Shen
- and National Human Genetic Resources Center, National Research Institute for Family Planning (Y.S., C.L., T.C., Z.C., H.G., X.M., M.L.), Beijing, China
| | - Zixi Sun
- From the Department of Ophthalmology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (T.Z., Z.S., X.H., X.W., W.L., X.Z., H.L., R.S.)
| | - Xiaoxu Han
- From the Department of Ophthalmology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (T.Z., Z.S., X.H., X.W., W.L., X.Z., H.L., R.S.)
| | - Xing Wei
- From the Department of Ophthalmology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (T.Z., Z.S., X.H., X.W., W.L., X.Z., H.L., R.S.)
| | - Wuyi Li
- From the Department of Ophthalmology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (T.Z., Z.S., X.H., X.W., W.L., X.Z., H.L., R.S.)
| | - Chao Lu
- and National Human Genetic Resources Center, National Research Institute for Family Planning (Y.S., C.L., T.C., Z.C., H.G., X.M., M.L.), Beijing, China
| | - Tingting Cheng
- and National Human Genetic Resources Center, National Research Institute for Family Planning (Y.S., C.L., T.C., Z.C., H.G., X.M., M.L.), Beijing, China
| | - Xuan Zou
- From the Department of Ophthalmology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (T.Z., Z.S., X.H., X.W., W.L., X.Z., H.L., R.S.)
| | - Hui Li
- From the Department of Ophthalmology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (T.Z., Z.S., X.H., X.W., W.L., X.Z., H.L., R.S.)
| | - Zongfu Cao
- and National Human Genetic Resources Center, National Research Institute for Family Planning (Y.S., C.L., T.C., Z.C., H.G., X.M., M.L.), Beijing, China
| | - Huafang Gao
- and National Human Genetic Resources Center, National Research Institute for Family Planning (Y.S., C.L., T.C., Z.C., H.G., X.M., M.L.), Beijing, China
| | - Xu Ma
- and National Human Genetic Resources Center, National Research Institute for Family Planning (Y.S., C.L., T.C., Z.C., H.G., X.M., M.L.), Beijing, China
| | - Minna Luo
- and National Human Genetic Resources Center, National Research Institute for Family Planning (Y.S., C.L., T.C., Z.C., H.G., X.M., M.L.), Beijing, China.
| | - Ruifang Sui
- From the Department of Ophthalmology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (T.Z., Z.S., X.H., X.W., W.L., X.Z., H.L., R.S.).
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8
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Gao M, Yu F, Dong R, Zhang K, Lv Y, Ma J, Wang D, Zhang H, Gai Z, Liu Y. Diagnostic application of exome sequencing in Chinese children with suspected inherited kidney diseases. Front Genet 2023; 13:933636. [PMID: 36685964 PMCID: PMC9853529 DOI: 10.3389/fgene.2022.933636] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 12/15/2022] [Indexed: 01/09/2023] Open
Abstract
Background: Inherited kidney diseases (IKDs) are a group of kidney diseases characterized by abnormal kidney structure or function caused by genetic factors, but they are not easily diagnosed in childhood due to either nonspecific symptoms and signs or clinically silent symptoms in the early stages until the progressive stages, even end-stages. Early diagnosis of IKDs is very urgent for timely treatment and improving outcomes of patients. So far, the etiological diagnosis has been accelerated with the advance of clinical genetic technology, particularly the advent of next-generation sequencing (NGS) that is not only a powerful tool for prompt and accurate diagnosis of IKDs but also gives therapy guidance to decrease the risk of unnecessary and harmful interventions. Methods: The patients presenting with urinalysis abnormalities or structural abnormalities from 149 Chinese families were enrolled in this study. The clinical features of the patients were collected, and the potentially causative gene variants were detected using exome sequencing. The clinical diagnostic utility of the genetic testing was assessed after more detailed clinical data were analyzed. Result: In total, 55 patients identified having causative variants by exome sequencing were genetically diagnosed, encompassing 16 (29.1%) autosomal dominant IKDs, 16 (29.1%) autosomal recessive IKDs, and 23 (41.8%) X-linked IKDs, with 25 unreported and 45 reported variants. The diagnostic yield was 36.9%. The utility of the exome sequencing was accessed, 12 patients (21.8%) were confirmed to have suspected IKDs, 26 patients (47.3%) discerned the specific sub-types of clinical category, and 17 patients (30.9%) with unknown etiology or lack of typical manifestations were reclassified. Conclusion: Our study supported that genetic testing plays a crucial role in the early diagnosis for children with IKDs, which affected follow-up treatment and prognostic assessment in clinical practice. Moreover, the variant spectrum associated with IKDs was expanded.
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Affiliation(s)
- Min Gao
- Pediatric Research Institute, Children’s Hospital Affiliated to Shandong University, Jinan, China,Shandong Provincial Clinical Research Center for Children’s Health and Disease, Jinan, China
| | - Fengling Yu
- Shandong Provincial Clinical Research Center for Children’s Health and Disease, Jinan, China,Clinical Laboratory, Children’s Hospital Affiliated to Shandong University, Ji’nan, China
| | - Rui Dong
- Pediatric Research Institute, Children’s Hospital Affiliated to Shandong University, Jinan, China,Shandong Provincial Clinical Research Center for Children’s Health and Disease, Jinan, China
| | - Kaihui Zhang
- Pediatric Research Institute, Children’s Hospital Affiliated to Shandong University, Jinan, China,Shandong Provincial Clinical Research Center for Children’s Health and Disease, Jinan, China
| | - Yuqiang Lv
- Pediatric Research Institute, Children’s Hospital Affiliated to Shandong University, Jinan, China,Shandong Provincial Clinical Research Center for Children’s Health and Disease, Jinan, China
| | - Jian Ma
- Pediatric Research Institute, Children’s Hospital Affiliated to Shandong University, Jinan, China,Shandong Provincial Clinical Research Center for Children’s Health and Disease, Jinan, China
| | - Dong Wang
- Pediatric Research Institute, Children’s Hospital Affiliated to Shandong University, Jinan, China,Shandong Provincial Clinical Research Center for Children’s Health and Disease, Jinan, China
| | - Hongxia Zhang
- Shandong Provincial Clinical Research Center for Children’s Health and Disease, Jinan, China,Department of Nephrology, Children’s Hospital Affiliated to Shandong University, Jinan, China,*Correspondence: Hongxia Zhang, ; Zhongtao Gai, ; Yi Liu,
| | - Zhongtao Gai
- Pediatric Research Institute, Children’s Hospital Affiliated to Shandong University, Jinan, China,Shandong Provincial Clinical Research Center for Children’s Health and Disease, Jinan, China,*Correspondence: Hongxia Zhang, ; Zhongtao Gai, ; Yi Liu,
| | - Yi Liu
- Pediatric Research Institute, Children’s Hospital Affiliated to Shandong University, Jinan, China,Shandong Provincial Clinical Research Center for Children’s Health and Disease, Jinan, China,*Correspondence: Hongxia Zhang, ; Zhongtao Gai, ; Yi Liu,
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Liu B, Chen M, Yang Y, Huang Y, Qian Y, Dong M. Identification of of a PAX2 mutation from maternal mosaicism causes recurrent renal disorder in siblings. Clin Chim Acta 2021; 525:23-28. [PMID: 34906559 DOI: 10.1016/j.cca.2021.12.007] [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: 11/18/2021] [Accepted: 12/07/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND PAX2-related disorder is an autosomal dominant disorder characterized by renal and eye abnormalities. Some patients may present with isolated renal abnormalities without obvious ocular abnormalities. It is associated with mutations in paired box gene 2 (PAX2), which is one of the families of paired box transcription factor genes. Studies on mosaicism have been limited in PAX2-related disorder, as only three families with mosaic PAX2 mutations have been reported in the literature. METHODS The proband with multicystic dysplastic kidneys from a Chinese family was recruited in our study. Detailed clinical symptoms were enquired. Trio-based whole exome sequencing (WES), SNP array, sanger sequencing and droplet digital PCR (ddPCR) were used to characterize etiology in the proband. Prenatal diagnosis was performed through amniocentesis and prenatal ultrasound when the proband's mother was further pregnant at 20 weeks. RESULTS A heterozygous missense mutation in PAX2 (c.194 T > C) was identified in the proband. His asymptomatic mother has the same mutation with somatic mosaicism ratio of 22%. The mutation was also detected in the fetus. Prenatal ultrasound showed that bilateral hyperechogenic kidneys with decrease of renal size. CONCLUSIONS This is the first report on PAX2 mosaicism in a Chinese family. Identifying PAX2 mosaicism provides more evidence for estimating recurrence risk. Our findings have important implications on genetic counseling for patients with PAX2-related disorder and provide an effective diagnostic technology for mosaicism.
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Affiliation(s)
- Bei Liu
- Women's Hospital School of Medicine Zhejiang University, 1, Xueshi Road, Hangzhou, Zhejiang 310006, PR China; Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, 1, Xueshi Road, Hangzhou, Zhejiang 310006, PR China
| | - Mengjia Chen
- Women's Hospital School of Medicine Zhejiang University, 1, Xueshi Road, Hangzhou, Zhejiang 310006, PR China
| | - Yanmei Yang
- Women's Hospital School of Medicine Zhejiang University, 1, Xueshi Road, Hangzhou, Zhejiang 310006, PR China; Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, 1, Xueshi Road, Hangzhou, Zhejiang 310006, PR China
| | - Yingzhi Huang
- Women's Hospital School of Medicine Zhejiang University, 1, Xueshi Road, Hangzhou, Zhejiang 310006, PR China; Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, 1, Xueshi Road, Hangzhou, Zhejiang 310006, PR China
| | - Yeqing Qian
- Women's Hospital School of Medicine Zhejiang University, 1, Xueshi Road, Hangzhou, Zhejiang 310006, PR China; Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, 1, Xueshi Road, Hangzhou, Zhejiang 310006, PR China
| | - Minyue Dong
- Women's Hospital School of Medicine Zhejiang University, 1, Xueshi Road, Hangzhou, Zhejiang 310006, PR China; Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, 1, Xueshi Road, Hangzhou, Zhejiang 310006, PR China.
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