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Lucca C, Rosina E, Pezzani L, Piazzolla D, Spaccini L, Scatigno A, Gasperini S, Pezzoli L, Cereda A, Milani D, Cattaneo E, Cavallari U, Frigeni M, Marchetti D, Daolio C, Giordano L, Bellini M, Goisis L, Mongodi C, Tonduti D, Pilotta A, Cazzaniga G, Furlan F, Bedeschi MF, Mangili G, Bonanomi E, Iascone M. First-Tier Versus Last-Tier Trio Whole-Genome Sequencing for the Diagnosis of Pediatric-Onset Rare Diseases. Clin Genet 2025. [PMID: 40274276 DOI: 10.1111/cge.14760] [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: 02/21/2025] [Revised: 04/11/2025] [Accepted: 04/16/2025] [Indexed: 04/26/2025]
Abstract
Despite advances in diagnostics, children with rare genetic disorders still face extended diagnostic odysseys, delaying appropriate clinical management, and placing burdens on families and healthcare resources. Whole-genome sequencing (WGS) offers a more comprehensive interrogation of the genome than other genetic tests, but its use in clinical practice remains limited. This study compared diagnostic rates, turnaround times, and clinical utility of first-tier versus last-tier trio-WGS for patients with suspected genetic pediatric-onset conditions, including 97 critical and 104 non-critical patients. Eighty-five patients (42.3%), including 57 (58.8%) critical and 28 (26.9%) non-critical patients, received a molecular diagnosis. The diagnostic rate was higher for first-tier (57%) than for last-tier (32.8%) trio-WGS. Of 121 causative variants identified, 19.8% would have been missed by whole-exome sequencing. Laboratory processing time was 4 days for all patients. The clinical setting had the greatest impact on time to reporting, averaging 5 days for critical patients versus 74 days for outpatients. WGS results impacted clinical decision-making for 34% of all critical and 14.3% of WGS-positive non-critical patients. This is the first Italian clinical study to demonstrate the diagnostic and clinical utility of a genome-first approach for both critical and non-critical patients with suspected genetic pediatric-onset disorders and feasibility in a public healthcare system.
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Affiliation(s)
- Camilla Lucca
- Laboratory of Medical Genetics, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Erica Rosina
- Laboratory of Medical Genetics, ASST Papa Giovanni XXIII, Bergamo, Italy
- Fondazione IRCCS ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Lidia Pezzani
- Rare Disease Unit, ASST Papa Giovanni XXIII, Bergamo, Italy
| | | | - Luigina Spaccini
- Clinical Genetics Unit, Department of Obstetrics and Gynecology, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
| | | | - Serena Gasperini
- Inherited Metabolic Disorders Unit Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Laura Pezzoli
- Laboratory of Medical Genetics, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Anna Cereda
- Medical Genetics, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
| | - Donatella Milani
- Fondazione IRCCS ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Elisa Cattaneo
- Clinical Genetics Unit, Department of Obstetrics and Gynecology, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
| | - Ugo Cavallari
- Medical Genetics Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Marco Frigeni
- Hematology and Bone Marrow Transplant Unit, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Daniela Marchetti
- Laboratory of Medical Genetics, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Cecilia Daolio
- Pediatrics, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
| | - Laura Giordano
- Pediatric Unit, Ospedale Fatebenefratelli e Oftalmico, Milan, Italy
| | - Matteo Bellini
- Laboratory of Medical Genetics, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Lucrezia Goisis
- Laboratory of Medical Genetics, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Chiara Mongodi
- Laboratory of Medical Genetics, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Davide Tonduti
- Pediatric Neurology Unit, C.O.A.L.A. (Center for Diagnosis and Treatment of Leukodystrophies), Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Alba Pilotta
- Pediatric Clinic, Children's Hospital, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Giovanni Cazzaniga
- Medical Genetics, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Francesca Furlan
- Clinical Metabolic Reference Center, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | | | - Giovanna Mangili
- Neonatal Intensive Care Unit, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Ezio Bonanomi
- Pediatric Intensive Care Unit, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Maria Iascone
- Laboratory of Medical Genetics, ASST Papa Giovanni XXIII, Bergamo, Italy
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2
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Uveges MK, Smith HS, Pereira S, Genetti C, McGuire AL, Beggs AH, Green RC, Holm IA. Family genetic risk communication and reverse cascade testing in the BabySeq project. Genet Med 2025; 27:101350. [PMID: 39731470 DOI: 10.1016/j.gim.2024.101350] [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: 08/21/2024] [Revised: 12/17/2024] [Accepted: 12/18/2024] [Indexed: 12/29/2024] Open
Abstract
PURPOSE Genomic sequencing of newborns can initiate disease surveillance and therapy for children and may identify at-risk relatives through reverse cascade testing. We explored genetic risk communication and reverse cascade testing among families of newborns who underwent exome sequencing and were identified as having a risk for an autosomal dominant disease. METHODS We conducted semistructured interviews with parents of newborns enrolled in the BabySeq Project who had a pathogenic or likely pathogenic variant associated with an autosomal dominant childhood- and/or adult-onset disease returned. We used directed content analysis to derive themes. RESULTS From 11 families, all first-degree relatives (n = 32, 100%), 29 second-degree relatives (76%), and 26 third-degree relatives (43%) were informed of their risk. All parents (n = 22, 69% of first-degree relatives), 4 (11%) second-degree relatives, and 1 (2%) third-degree relatives underwent cascade testing. Most parents preferred to handle risk communication themselves. Parents with positive cascade testing but no associated symptoms were less inclined to share findings with relatives but highly motivated to share results if the variant's associated disease severity was high, as perceived with adult-onset conditions. One new subtheme, family member traits, was identified and defined as a relative's propensity to anxiety/concern after risk communications but did not diminish risk communication. CONCLUSION Findings can inform more effective notification and testing practices for families of newborns at risk for hereditary genetic conditions.
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Affiliation(s)
- Melissa K Uveges
- Boston College, William F. Connell School of Nursing, Chestnut Hill, MA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA.
| | - Hadley Stevens Smith
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX; Precision Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; Center for Bioethics, Harvard Medical School, Boston, MA
| | - Stacey Pereira
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Casie Genetti
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA; The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA
| | - Amy L McGuire
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX
| | - Alan H Beggs
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA; The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA; Harvard Medical School, Boston, MA
| | - Robert C Green
- Harvard Medical School, Boston, MA; Mass General Brigham, Boston, MA; The Broad Institute of MIT and Harvard, Cambridge, MA
| | - Ingrid A Holm
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA; The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA; Harvard Medical School, Boston, MA
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3
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Nomakuchi TT, Teferedegn EY, Li D, Muirhead KJ, Dubbs H, Leonard J, Muraresku C, Sergio E, Arnold K, Pizzino A, Skraban CM, Zackai EH, Wang K, Ganetzky RD, Vanderver AL, Ahrens-Nicklas RC, Bhoj EJK. Utility of genome sequencing in exome-negative pediatric patients with neurodevelopmental phenotypes. Am J Med Genet A 2024; 194:e63817. [PMID: 39031459 PMCID: PMC11540733 DOI: 10.1002/ajmg.a.63817] [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: 06/25/2024] [Revised: 07/03/2024] [Accepted: 07/07/2024] [Indexed: 07/22/2024]
Abstract
Exome sequencing (ES) has emerged as an essential tool in the evaluation of neurodevelopmental disorders (NDD) of unknown etiology. Genome sequencing (GS) offers advantages over ES due to improved detection of structural, copy number, repeat number and non-coding variants. However, GS is less commonly utilized due to higher cost and more intense analysis. Here, we present nine cases of pediatric NDD that were molecularly diagnosed with GS between 2017 and 2022, following non-diagnostic ES. All individuals presented with global developmental delay or regression. Other features present in our cohort included epilepsy, white matter abnormalities, brain malformation and dysmorphic features. Two cases were diagnosed on GS due to newly described gene-disease relationship or variant reclassification (MAPK8IP3, CHD3). Additional features missed on ES that were later detected on GS were: intermediate-size deletions in three cases who underwent ES that were not validated for CNV detection, pathogenic variants within the non-protein coding genes SNORD118 and RNU7-1, pathogenic variant within the promoter region of GJB1, and a coding pathogenic variant within BCAP31 which was not sufficiently covered on ES. GS following non-diagnostic ES led to the identification of pathogenic variants in this cohort of nine cases, four of which would not have been identified by reanalysis alone.
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Affiliation(s)
- Tomoki T. Nomakuchi
- Division of Human Genetics, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
| | - Eden Y. Teferedegn
- Division of Human Genetics, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
| | - Dong Li
- Division of Human Genetics, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
| | - Kayla J. Muirhead
- Division of Neurology, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
| | - Holly Dubbs
- Division of Neurology, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
| | - Jacqueline Leonard
- Division of Human Genetics, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
| | - Colleen Muraresku
- Division of Human Genetics, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
| | - Emily Sergio
- Division of Neurology, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
| | - Kaley Arnold
- Division of Neurology, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
| | - Amy Pizzino
- Division of Neurology, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
| | - Cara M. Skraban
- Division of Human Genetics, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Elaine H. Zackai
- Division of Human Genetics, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kai Wang
- Division of Human Genetics, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
| | - Rebecca D. Ganetzky
- Division of Human Genetics, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Adeline L. Vanderver
- Department of Neurology, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Rebecca C. Ahrens-Nicklas
- Division of Human Genetics, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Elizabeth J. K. Bhoj
- Division of Human Genetics, Children’s Hospital of
Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, Pennsylvania, USA
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4
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Srivastava S, Cole JJ, Cohen JS, Chopra M, Smith HS, Deardorff MA, Pedapati E, Corner B, Anixt JS, Jeste S, Sahin M, Gurnett CA, Campbell CA. Survey of the Landscape of Society Practice Guidelines for Genetic Testing of Neurodevelopmental Disorders. Ann Neurol 2024; 96:900-913. [PMID: 39319594 PMCID: PMC11496025 DOI: 10.1002/ana.27045] [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: 02/22/2024] [Revised: 07/09/2024] [Accepted: 07/15/2024] [Indexed: 09/26/2024]
Abstract
Genetic testing of patients with neurodevelopmental disabilities (NDDs) is critical for diagnosis, medical management, and access to precision therapies. Because genetic testing approaches evolve rapidly, professional society practice guidelines serve an essential role in guiding clinical care; however, several challenges exist regarding the creation and equitable implementation of these guidelines. In this scoping review, we assessed the current state of United States professional societies' guidelines pertaining to genetic testing for unexplained global developmental delay, intellectual disability, autism spectrum disorder, and cerebral palsy. We describe several identified shortcomings and argue the need for a unified, frequently updated, and easily-accessible cross-specialty society guideline. ANN NEUROL 2024;96:900-913.
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Affiliation(s)
- Siddharth Srivastava
- Department of Neurology, Rosamund Stone Zander Translational Neuroscience Center, Boston Children’s Hospital, Harvard Medical School
| | | | - Julie S. Cohen
- Department of Neurology and Developmental Medicine, Kennedy Krieger Institute; Department of Neurology, Johns Hopkins School of Medicine
| | - Maya Chopra
- Department of Neurology, Rosamund Stone Zander Translational Neuroscience Center, Boston Children’s Hospital, Harvard Medical School
| | - Hadley Stevens Smith
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute
| | - Matthew A. Deardorff
- Department of Pathology and Pediatrics, Keck School of Medicine of USC, Children’s Hospital Los Angeles
| | - Ernest Pedapati
- Department of Psychiatry and Behavioral Neuroscience, Cincinnati Children’s Hospital
| | - Brian Corner
- Department of Pediatrics and Genetics, Vanderbilt University Medical Center
| | - Julia S. Anixt
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati Children’s Hospital
| | - Shafali Jeste
- Department of Neurology, Keck School of Medicine of USC, Children’s Hospital Los Angeles
| | - Mustafa Sahin
- Department of Neurology, Rosamund Stone Zander Translational Neuroscience Center, Boston Children’s Hospital, Harvard Medical School
| | | | - Colleen A. Campbell
- Department of Internal Medicine, University of Iowa, Carver College of Medicine
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5
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Nurchis MC, Radio FC, Salmasi L, Heidar Alizadeh A, Raspolini GM, Altamura G, Tartaglia M, Dallapiccola B, Damiani G. Bayesian cost-effectiveness analysis of Whole genome sequencing versus Whole exome sequencing in a pediatric population with suspected genetic disorders. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2024; 25:999-1011. [PMID: 37975990 PMCID: PMC11283423 DOI: 10.1007/s10198-023-01644-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 10/25/2023] [Indexed: 11/19/2023]
Abstract
Genetic diseases are medical conditions caused by sequence or structural changes in an individual's genome. Whole exome sequencing (WES) and whole genome sequencing (WGS) are increasingly used for diagnosing suspected genetic conditions in children to reduce the diagnostic delay and accelerating the implementation of appropriate treatments. While more information is becoming available on clinical efficacy and economic sustainability of WES, the broad implementation of WGS is still hindered by higher complexity and economic issues. The aim of this study is to estimate the cost-effectiveness of WGS versus WES and standard testing for pediatric patients with suspected genetic disorders. A Bayesian decision tree model was set up. Model parameters were retrieved both from hospital administrative datasets and scientific literature. The analysis considered a lifetime time frame and adopted the perspective of the Italian National Health Service (NHS). Bayesian inference was performed using the Markov Chain Monte Carlo simulation method. Uncertainty was explored through a probabilistic sensitivity analysis (PSA) and a value of information analysis (VOI). The present analysis showed that implementing first-line WGS would be a cost-effective strategy, against the majority of the other tested alternatives at a threshold of €30,000-50,000, for diagnosing outpatient pediatric patients with suspected genetic disorders. According to the sensitivity analyses, the findings were robust to most assumption and parameter uncertainty. Lessons learnt from this modeling study reinforces the adoption of first-line WGS, as a cost-effective strategy, depending on actual difficulties for the NHS to properly allocate limited resources.
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Affiliation(s)
- Mario Cesare Nurchis
- School of Economics, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, 00168, Rome, Italy.
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy.
| | | | - Luca Salmasi
- Department of Economics and Finance, Università Cattolica del Sacro Cuore, 00168, Rome, Italy
| | - Aurora Heidar Alizadeh
- Department of Health Sciences and Public Health, Section of Hygiene, Università Cattolica del Sacro Cuore, 00168, Rome, Italy
| | - Gian Marco Raspolini
- Department of Health Sciences and Public Health, Section of Hygiene, Università Cattolica del Sacro Cuore, 00168, Rome, Italy
| | - Gerardo Altamura
- Department of Health Sciences and Public Health, Section of Hygiene, Università Cattolica del Sacro Cuore, 00168, Rome, Italy
| | - Marco Tartaglia
- Molecular Genetics and Functional Genomics, Ospedale Pediatrico Bambino Gesù IRCCS, 00146, Rome, Italy
| | - Bruno Dallapiccola
- Molecular Genetics and Functional Genomics, Ospedale Pediatrico Bambino Gesù IRCCS, 00146, Rome, Italy
| | - Gianfranco Damiani
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168, Rome, Italy
- Department of Health Sciences and Public Health, Section of Hygiene, Università Cattolica del Sacro Cuore, 00168, Rome, Italy
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6
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Stellacci E, Niceta M, Bruselles A, Straface E, Tatti M, Carvetta M, Mancini C, Cecchetti S, Parravano M, Barbano L, Varano M, Tartaglia M, Ziccardi L, Cordeddu V. Whole Genome Sequencing Solves an Atypical Form of Bardet-Biedl Syndrome: Identification of Novel Pathogenic Variants of BBS9. Int J Mol Sci 2024; 25:8313. [PMID: 39125883 PMCID: PMC11312707 DOI: 10.3390/ijms25158313] [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: 05/29/2024] [Revised: 07/22/2024] [Accepted: 07/23/2024] [Indexed: 08/12/2024] Open
Abstract
Bardet-Biedl syndrome (BBS) is a rare recessive multisystem disorder characterized by retinitis pigmentosa, obesity, postaxial polydactyly, cognitive deficits, and genitourinary defects. BBS is clinically variable and genetically heterogeneous, with 26 genes identified to contribute to the disorder when mutated, the majority encoding proteins playing role in primary cilium biogenesis, intraflagellar transport, and ciliary trafficking. Here, we report on an 18-year-old boy with features including severe photophobia and central vision loss since childhood, hexadactyly of the right foot and a supernumerary nipple, which were suggestive of BBS. Genetic analyses using targeted resequencing and exome sequencing failed to provide a conclusive genetic diagnosis. Whole-genome sequencing (WGS) allowed us to identify compound heterozygosity for a missense variant and a large intragenic deletion encompassing exon 12 in BBS9 as underlying the condition. We assessed the functional impact of the identified variants and demonstrated that they impair BBS9 function, with significant consequences for primary cilium formation and morphology. Overall, this study further highlights the usefulness of WGS in the diagnostic workflow of rare diseases to reach a definitive diagnosis. This report also remarks on a requirement for functional validation analyses to more effectively classify variants that are identified in the frame of the diagnostic workflow.
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Affiliation(s)
- Emilia Stellacci
- Dipartimento di Oncologia e Medicina Molecolare, Istituto Superiore di Sanità, 00161 Rome, Italy; (E.S.); (A.B.); (E.S.)
| | - Marcello Niceta
- Genetica Molecolare e Genomica Funzionale, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy; (M.N.); (M.C.); (C.M.); (M.T.)
| | - Alessandro Bruselles
- Dipartimento di Oncologia e Medicina Molecolare, Istituto Superiore di Sanità, 00161 Rome, Italy; (E.S.); (A.B.); (E.S.)
| | - Emilio Straface
- Dipartimento di Oncologia e Medicina Molecolare, Istituto Superiore di Sanità, 00161 Rome, Italy; (E.S.); (A.B.); (E.S.)
| | - Massimo Tatti
- Dipartimento di Oncologia e Medicina Molecolare, Istituto Superiore di Sanità, 00161 Rome, Italy; (E.S.); (A.B.); (E.S.)
| | - Mattia Carvetta
- Genetica Molecolare e Genomica Funzionale, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy; (M.N.); (M.C.); (C.M.); (M.T.)
| | - Cecilia Mancini
- Genetica Molecolare e Genomica Funzionale, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy; (M.N.); (M.C.); (C.M.); (M.T.)
| | - Serena Cecchetti
- Confocal Microscopy Unit—Core Facilities, Istituto Superiore di Sanità, 00161 Rome, Italy;
| | | | - Lucilla Barbano
- Fondazione Bietti, IRCCS, 00198 Rome, Italy; (M.P.); (L.B.); (M.V.)
| | - Monica Varano
- Fondazione Bietti, IRCCS, 00198 Rome, Italy; (M.P.); (L.B.); (M.V.)
| | - Marco Tartaglia
- Genetica Molecolare e Genomica Funzionale, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146 Rome, Italy; (M.N.); (M.C.); (C.M.); (M.T.)
| | - Lucia Ziccardi
- Fondazione Bietti, IRCCS, 00198 Rome, Italy; (M.P.); (L.B.); (M.V.)
| | - Viviana Cordeddu
- Dipartimento di Oncologia e Medicina Molecolare, Istituto Superiore di Sanità, 00161 Rome, Italy; (E.S.); (A.B.); (E.S.)
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7
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Nurchis MC, Radio FC, Salmasi L, Heidar Alizadeh A, Raspolini GM, Altamura G, Tartaglia M, Dallapiccola B, Pizzo E, Gianino MM, Damiani G. Cost-Effectiveness of Whole-Genome vs Whole-Exome Sequencing Among Children With Suspected Genetic Disorders. JAMA Netw Open 2024; 7:e2353514. [PMID: 38277144 PMCID: PMC10818217 DOI: 10.1001/jamanetworkopen.2023.53514] [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: 08/04/2023] [Accepted: 12/05/2023] [Indexed: 01/27/2024] Open
Abstract
Importance The diagnosis of rare diseases and other genetic conditions can be daunting due to vague or poorly defined clinical features that are not recognized even by experienced clinicians. Next-generation sequencing technologies, such as whole-genome sequencing (WGS) and whole-exome sequencing (WES), have greatly enhanced the diagnosis of genetic diseases by expanding the ability to sequence a large part of the genome, rendering a cost-effectiveness comparison between them necessary. Objective To assess the cost-effectiveness of WGS compared with WES and conventional testing in children with suspected genetic disorders. Design, Setting, and Participants In this economic evaluation, a bayesian Markov model was implemented from January 1 to June 30, 2023. The model was developed using data from a cohort of 870 pediatric patients with suspected genetic disorders who were enrolled and underwent testing in the Ospedale Pediatrico Bambino Gesù, Rome, Italy, from January 1, 2015, to December 31, 2022. The robustness of the model was assessed through probabilistic sensitivity analysis and value of information analysis. Main Outcomes and Measures Overall costs, number of definitive diagnoses, and incremental cost-effectiveness ratios per diagnosis were measured. The cost-effectiveness analyses involved 4 comparisons: first-tier WGS with standard of care; first-tier WGS with first-tier WES; first-tier WGS with second-tier WES; and first-tier WGS with second-tier WGS. Results The ages of the 870 participants ranged from 0 to 18 years (539 [62%] girls). The results of the analysis suggested that adopting WGS as a first-tier strategy would be cost-effective compared with all other explored options. For all threshold levels above €29 800 (US $32 408) per diagnosis that were tested up to €50 000 (US $54 375) per diagnosis, first-line WGS vs second-line WES strategy (ie, 54.6%) had the highest probability of being cost-effective, followed by first-line vs second-line WGS (ie, 54.3%), first-line WGS vs the standard of care alternative (ie, 53.2%), and first-line WGS vs first-line WES (ie, 51.1%). Based on sensitivity analyses, these estimates remained robust to assumptions and parameter uncertainty. Conclusions and Relevance The findings of this economic evaluation encourage the development of policy changes at various levels (ie, macro, meso, and micro) of international health systems to ensure an efficient adoption of WGS in clinical practice and its equitable access.
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Affiliation(s)
- Mario Cesare Nurchis
- School of Economics, Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | | | - Luca Salmasi
- Department of Economics and Finance, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Aurora Heidar Alizadeh
- Department of Health Sciences and Public Health, Section of Hygiene, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Gian Marco Raspolini
- Department of Health Sciences and Public Health, Section of Hygiene, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Gerardo Altamura
- Department of Health Sciences and Public Health, Section of Hygiene, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Marco Tartaglia
- Molecular Genetics and Functional Genomics, Ospedale Pediatrico Bambino Gesù IRCCS, Rome, Italy
| | - Bruno Dallapiccola
- Molecular Genetics and Functional Genomics, Ospedale Pediatrico Bambino Gesù IRCCS, Rome, Italy
| | - Elena Pizzo
- Department of Applied Health Research, University College London, London, United Kingdom
| | - Maria Michela Gianino
- Department of Public Health Sciences and Paediatrics, Università di Torino, Turin, Italy
| | - Gianfranco Damiani
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Department of Health Sciences and Public Health, Section of Hygiene, Università Cattolica del Sacro Cuore, Rome, Italy
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8
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Abul-Husn NS, Marathe PN, Kelly NR, Bonini KE, Sebastin M, Odgis JA, Abhyankar A, Brown K, Di Biase M, Gallagher KM, Guha S, Ioele N, Okur V, Ramos MA, Rodriguez JE, Rehman AU, Thomas-Wilson A, Edelmann L, Zinberg RE, Diaz GA, Greally JM, Jobanputra V, Suckiel SA, Horowitz CR, Wasserstein MP, Kenny EE, Gelb BD. Molecular diagnostic yield of genome sequencing versus targeted gene panel testing in racially and ethnically diverse pediatric patients. Genet Med 2023; 25:100880. [PMID: 37158195 PMCID: PMC10789486 DOI: 10.1016/j.gim.2023.100880] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 04/27/2023] [Accepted: 04/30/2023] [Indexed: 05/10/2023] Open
Abstract
PURPOSE Adoption of genome sequencing (GS) as a first-line test requires evaluation of its diagnostic yield. We evaluated the GS and targeted gene panel (TGP) testing in diverse pediatric patients (probands) with suspected genetic conditions. METHODS Probands with neurologic, cardiac, or immunologic conditions were offered GS and TGP testing. Diagnostic yield was compared using a fully paired study design. RESULTS A total of 645 probands (median age 9 years) underwent genetic testing, and 113 (17.5%) received a molecular diagnosis. Among 642 probands with both GS and TGP testing, GS yielded 106 (16.5%) and TGPs yielded 52 (8.1%) diagnoses (P < .001). Yield was greater for GS vs TGPs in Hispanic/Latino(a) (17.2% vs 9.5%, P < .001) and White/European American (19.8% vs 7.9%, P < .001) but not in Black/African American (11.5% vs 7.7%, P = .22) population groups by self-report. A higher rate of inconclusive results was seen in the Black/African American (63.8%) vs White/European American (47.6%; P = .01) population group. Most causal copy number variants (17 of 19) and mosaic variants (6 of 8) were detected only by GS. CONCLUSION GS may yield up to twice as many diagnoses in pediatric patients compared with TGP testing but not yet across all population groups.
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Affiliation(s)
- Noura S Abul-Husn
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY; 23andMe, Inc., Sunnyvale, CA
| | - Priya N Marathe
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Nicole R Kelly
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Katherine E Bonini
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Monisha Sebastin
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Jacqueline A Odgis
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Kaitlyn Brown
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY; Illumina Incorporated, San Diego, CA
| | - Miranda Di Biase
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Katie M Gallagher
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY; Invitae Corporation, San Francisco, CA
| | - Saurav Guha
- Molecular Diagnostics, New York Genome Center, New York, NY
| | - Nicolette Ioele
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY; Memorial Sloan Kettering Cancer Center, New York, NY
| | - Volkan Okur
- Molecular Diagnostics, New York Genome Center, New York, NY
| | - Michelle A Ramos
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY; Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jessica E Rodriguez
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | | | | | - Randi E Zinberg
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - George A Diaz
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY; iECURE Incorporated, Philadelphia, PA
| | - John M Greally
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Vaidehi Jobanputra
- Molecular Diagnostics, New York Genome Center, New York, NY; Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY
| | - Sabrina A Suckiel
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Carol R Horowitz
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY; Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Melissa P Wasserstein
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY.
| | - Bruce D Gelb
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY; Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY.
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9
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Lavelle TA, Smith HS. Pediatric Genomic Medicine: Value, Implementation, and Access. Clin Ther 2023; 45:687-689. [PMID: 37563063 DOI: 10.1016/j.clinthera.2023.07.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 07/12/2023] [Indexed: 08/12/2023]
Affiliation(s)
- Tara A Lavelle
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts.
| | - Hadley Stevens Smith
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
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10
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Abul-Husn NS, Marathe PN, Kelly NR, Bonini KE, Sebastin M, Odgis JA, Abhyankar A, Brown K, Di Biase M, Gallagher KM, Guha S, Ioele N, Okur V, Ramos MA, Rodriguez JE, Rehman AU, Thomas-Wilson A, Edelmann L, Zinberg RE, Diaz GA, Greally JM, Jobanputra V, Suckiel SA, Horowitz CR, Wasserstein MP, Kenny EE, Gelb BD. Molecular diagnostic yield of genome sequencing versus targeted gene panel testing in racially and ethnically diverse pediatric patients. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.18.23286992. [PMID: 36993157 PMCID: PMC10055570 DOI: 10.1101/2023.03.18.23286992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
Purpose Adoption of genome sequencing (GS) as a first-line test requires evaluation of its diagnostic yield. We evaluated the GS and targeted gene panel (TGP) testing in diverse pediatric patients (probands) with suspected genetic conditions. Methods Probands with neurologic, cardiac, or immunologic conditions were offered GS and TGP testing. Diagnostic yield was compared using a fully paired study design. Results 645 probands (median age 9 years) underwent genetic testing, and 113 (17.5%) received a molecular diagnosis. Among 642 probands with both GS and TGP testing, GS yielded 106 (16.5%) and TGPs yielded 52 (8.1%) diagnoses ( P < .001). Yield was greater for GS vs . TGPs in Hispanic/Latino(a) (17.2% vs . 9.5%, P < .001) and White/European American (19.8% vs . 7.9%, P < .001), but not in Black/African American (11.5% vs . 7.7%, P = .22) population groups by self-report. A higher rate of inconclusive results was seen in the Black/African American (63.8%) vs . White/European American (47.6%; P = .01) population group. Most causal copy number variants (17 of 19) and mosaic variants (6 of 8) were detected only by GS. Conclusion GS may yield up to twice as many diagnoses in pediatric patients compared to TGP testing, but not yet across all population groups.
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Affiliation(s)
- Noura S Abul-Husn
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Priya N Marathe
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nicole R Kelly
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/ Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Katherine E Bonini
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Monisha Sebastin
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/ Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jacqueline A Odgis
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Kaitlyn Brown
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/ Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Miranda Di Biase
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/ Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Katie M Gallagher
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/ Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Saurav Guha
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
| | - Nicolette Ioele
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/ Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Volkan Okur
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
| | - Michelle A Ramos
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jessica E Rodriguez
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Atteeq U Rehman
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
| | | | | | - Randi E Zinberg
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - George A Diaz
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/ Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - John M Greally
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/ Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Vaidehi Jobanputra
- Molecular Diagnostics, New York Genome Center, New York, NY, USA
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Sabrina A Suckiel
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carol R Horowitz
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Melissa P Wasserstein
- Department of Pediatrics, Division of Pediatric Genetic Medicine, Children's Hospital at Montefiore/ Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bruce D Gelb
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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11
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de Vos J, Crooijmans RP, Derks MF, Kloet SL, Dibbits B, Groenen MA, Madsen O. Detailed molecular and epigenetic characterization of the pig IPEC-J2 and chicken SL-29 cell lines. iScience 2023; 26:106252. [PMID: 36936794 PMCID: PMC10018572 DOI: 10.1016/j.isci.2023.106252] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 12/05/2022] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
The pig IPEC-J2 and chicken SL-29 cell lines are of interest because of their untransformed nature and wide use in functional studies. Molecular characterization of these cell lines is important to gain insight into possible molecular aberrations. The aim of this paper is to provide a molecular and epigenetic characterization of the IPEC-J2 and SL-29 cell lines, a cell-line reference for the FAANG community, and future biomedical research. Whole genome sequencing, gene expression, DNA methylation, chromatin accessibility, and ChIP-seq of four histone marks (H3K4me1, H3K4me3, H3K27ac, H3K27me3) and an insulator (CTCF) are used to achieve these aims. Heteroploidy (aneuploidy) of various chromosomes was observed from whole genome sequencing analysis in both cell lines. Furthermore, higher gene expression for genes located on chromosomes with aneuploidy in comparison to diploid chromosomes was observed. Regulatory complexity of gene expression, DNA methylation, and chromatin accessibility was investigated through an integrative approach.
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Affiliation(s)
- Jani de Vos
- Animal Breeding and Genomics, Wageningen University & Research, Wageningen 6708PB, the Netherlands
| | | | - Martijn F.L. Derks
- Animal Breeding and Genomics, Wageningen University & Research, Wageningen 6708PB, the Netherlands
| | - Susan L. Kloet
- Human Genetics, Leids Universitair Medisch Centrum, Leiden 2333ZC, the Netherlands
| | - Bert Dibbits
- Animal Breeding and Genomics, Wageningen University & Research, Wageningen 6708PB, the Netherlands
| | - Martien A.M. Groenen
- Animal Breeding and Genomics, Wageningen University & Research, Wageningen 6708PB, the Netherlands
| | - Ole Madsen
- Animal Breeding and Genomics, Wageningen University & Research, Wageningen 6708PB, the Netherlands
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12
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Abstract
Exome sequencing (ES) and genome sequencing (GS) have radically transformed the diagnostic approach to undiagnosed rare/ultrarare Mendelian diseases. Next-generation sequencing (NGS), the technology integral for ES, GS, and most large (100+) gene panels, has enabled previously unimaginable diagnoses, changes in medical management, new treatments, and accurate reproductive risk assessments for patients, as well as new disease gene discoveries. Yet, challenges remain, as most individuals remain undiagnosed with current NGS. Improved NGS technology has resulted in long-read sequencing, which may resolve diagnoses in some patients who do not obtain a diagnosis with current short-read ES and GS, but its effectiveness is unclear, and it is expensive. Other challenges that persist include the resolution of variants of uncertain significance, the urgent need for patients with ultrarare disorders to have access to therapeutics, the need for equity in patient access to NGS-based testing, and the study of ethical concerns. However, the outlook for undiagnosed disease resolution is bright, due to continual advancements in the field.
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Affiliation(s)
- Jennifer A Sullivan
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA;
| | - Kelly Schoch
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA;
| | - Rebecca C Spillmann
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA;
| | - Vandana Shashi
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA;
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13
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Kang DYD, Terry SF. Whole Genome Sequencing Will Reduce the Cost of Diagnostic Odyssey. Genet Test Mol Biomarkers 2022; 26:501-502. [PMID: 36440845 DOI: 10.1089/gtmb.2022.0200.persp] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- Da-Young Diane Kang
- Johns Hopkins University, Baltimore, Maryland, USA.,Genetic Alliance, Damascus, Maryland, USA
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14
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Considering the Genetic Architecture of Hypoplastic Left Heart Syndrome. J Cardiovasc Dev Dis 2022; 9:jcdd9100315. [PMID: 36286267 PMCID: PMC9604382 DOI: 10.3390/jcdd9100315] [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: 08/10/2022] [Revised: 09/16/2022] [Accepted: 09/16/2022] [Indexed: 11/24/2022] Open
Abstract
Hypoplastic left heart syndrome (HLHS) is among the most severe cardiovascular malformations and understanding its causes is crucial to making progress in prevention and treatment. Genetic analysis is a broadly useful tool for dissecting complex causal mechanisms and it is playing a significant role in HLHS research. However, unlike classical Mendelian disorders where a relatively small number of genes are largely determinative of the occurrence and severity of the disease, the picture in HLHS is complex. De novo single-gene and copy number variant (CNV) disorders make an important contribution, but there is emerging evidence for causal contributions from lower penetrance and common variation. Integrating this emerging knowledge into clinical diagnostics and translating the findings into effective prevention and treatment remain challenges for the future.
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