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Migliavacca MP, Sobreira J, Bermeo D, Gomes M, Alencar D, Sussuchi L, Souza CA, Silva JS, Kroll JE, Burger M, Guarischi-Sousa R, Villela D, Yamamoto GL, Milanezi F, Horigoshi N, Cesar RG, de Carvalho WB, Honjo RS, Bertola DR, Kim CA, de Souza L, Procianoy RS, Silveria RC, Rosenberg C, Giugliani R, Campana GA, Scapulatempo-Neto C, Sobreira N. Whole genome sequencing as a first-tier diagnostic test for infants in neonatal intensive care units: A pilot study in Brazil. Am J Med Genet A 2024; 194:e63544. [PMID: 38258498 DOI: 10.1002/ajmg.a.63544] [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: 12/05/2023] [Revised: 12/27/2023] [Accepted: 12/28/2023] [Indexed: 01/24/2024]
Abstract
In this pilot study, we aimed to evaluate the feasibility of whole genome sequencing (WGS) as a first-tier diagnostic test for infants hospitalized in neonatal intensive care units in the Brazilian healthcare system. The cohort presented here results from a joint collaboration between private and public hospitals in Brazil considering the initiative of a clinical laboratory to provide timely diagnosis for critically ill infants. We performed trio (proband and parents) WGS in 21 infants suspected of a genetic disease with an urgent need for diagnosis to guide medical care. Overall, the primary indication for genetic testing was dysmorphic syndromes (n = 14, 67%) followed by inborn errors of metabolism (n = 6, 29%) and skeletal dysplasias (n = 1, 5%). The diagnostic yield in our cohort was 57% (12/21) based on cases that received a definitive or likely definitive diagnostic result from WGS analysis. A total of 16 pathogenic/likely pathogenic variants and 10 variants of unknown significance were detected, and in most cases inherited from an unaffected parent. In addition, the reported variants were of different types, but mainly missense (58%) and associated with autosomal diseases (19/26); only three were associated with X-linked diseases, detected in hemizygosity in the proband an inherited from an unaffected mother. Notably, we identified 10 novel variants, absent from public genomic databases, in our cohort. Considering the entire diagnostic process, the average turnaround time from enrollment to medical report in our study was 53 days. Our findings demonstrate the remarkable utility of WGS as a diagnostic tool, elevating the potential of transformative impact since it outperforms conventional genetic tests. Here, we address the main challenges associated with implementing WGS in the medical care system in Brazil, as well as discuss the potential benefits and limitations of WGS as a diagnostic tool in the neonatal care setting.
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Affiliation(s)
| | - Joselito Sobreira
- Diagnósticos da América S.A., DASA, São Paulo, Brazil
- Hospital Infantil Sabará, São Paulo, Brazil
| | - Diana Bermeo
- Diagnósticos da América S.A., DASA, São Paulo, Brazil
| | | | - Dayse Alencar
- Diagnósticos da América S.A., DASA, São Paulo, Brazil
| | | | | | | | | | | | | | | | - Guilherme L Yamamoto
- Diagnósticos da América S.A., DASA, São Paulo, Brazil
- Instituto da Criança, Faculdade de Medicina (FMUSP), Universidade de São Paulo, São Paulo, Brazil
| | | | | | | | | | - Rachel Sayuri Honjo
- Instituto da Criança, Faculdade de Medicina (FMUSP), Universidade de São Paulo, São Paulo, Brazil
| | | | - Chong Ae Kim
- Instituto da Criança, Faculdade de Medicina (FMUSP), Universidade de São Paulo, São Paulo, Brazil
| | - Lucian de Souza
- Hospital das Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | | | - Rita C Silveria
- Hospital das Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | | | - Roberto Giugliani
- Diagnósticos da América S.A., DASA, São Paulo, Brazil
- Hospital das Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | | | | | - Nara Sobreira
- Diagnósticos da América S.A., DASA, São Paulo, Brazil
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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2
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Bordini BJ, Walsh RD, Basel D, Deshmukh T. Attaining Diagnostic Excellence: How the Structure and Function of a Rare Disease Service Contribute to Ending the Diagnostic Odyssey. Med Clin North Am 2024; 108:1-14. [PMID: 37951644 DOI: 10.1016/j.mcna.2023.06.013] [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] [Indexed: 11/14/2023]
Abstract
Patients with rare or otherwise undiagnosed disorders frequently find themselves on a diagnostic odyssey, the often-prolonged journey toward diagnosis that can be characterized by significant physical, emotional, and financial hardship, as well as by diagnostic errors and delays. The wider availability of clinical exome sequencing has helped end many diagnostic odysseys, though diagnostic success rates of around 35% for exome sequencing leave many patients undiagnosed. Diagnostic yields can be improved via the implementation of advanced genetic testing modalities, though both these modalities and exome sequencing perform significantly better when paired with high-quality phenotypic data. Diagnostic centers of excellence can improve outcomes for patients on a diagnostic odyssey by providing a process and environment that address shortfalls in diagnostic access while providing high-quality phenotyping. Features of successful undiagnosed and rare disease evaluation teams are discussed and an illustrative case is provided.
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Affiliation(s)
- Brett J Bordini
- Department of Pediatrics, Division of Hospital Medicine, Nelson Service for Undiagnosed and Rare Diseases, Medical College of Wisconsin.
| | - Ryan D Walsh
- Department of Neurology, Medical College of Wisconsin; Eye Institute - Froedtert Hospital, 925 North 87th Street, Milwaukee, WI 53226, USA
| | - Donald Basel
- Department of Pediatrics, Section Chief, Division of Medical Genetics, Medical College of Wisconsin, 9000 West Wisconsin Avenue MC716, Milwaukee, WI 53226, USA
| | - Tejaswini Deshmukh
- Department of Radiology, Division of Pediatric Radiology, Medical College of Wisconsin; Department of Pediatric Imaging, 9000 West Wisconsin Avenue, Milwaukee, WI 53226, USA
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3
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Kim S, Pistawka C, Langlois S, Osiovich H, Virani A, Kitchin V, Elliott AM. Genetic counselling considerations with genetic/genomic testing in Neonatal and Pediatric Intensive Care Units: A scoping review. Clin Genet 2024; 105:13-33. [PMID: 37927209 DOI: 10.1111/cge.14446] [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: 07/28/2023] [Revised: 09/23/2023] [Accepted: 10/15/2023] [Indexed: 11/07/2023]
Abstract
Genetic and genomic technologies can effectively diagnose numerous genetic disorders. Patients benefit when genetic counselling accompanies genetic testing and international guidelines recommend pre- and post-test genetic counselling with genome-wide sequencing. However, there is a gap in knowledge regarding the unique genetic counselling considerations with different types of genetic testing in the Neonatal Intensive Care Unit (NICU) and the Pediatric Intensive Care Unit (PICU). This scoping review was conducted to identify the gaps in care with respect to genetic counselling for infants/pediatric patients undergoing genetic and genomic testing in NICUs and PICUs and understand areas in need of improvement in order to optimize clinical care for patients, caregivers, and healthcare providers. Five databases (MEDLINE [Ovid], Embase [Ovid], PsycINFO [Ebsco], CENTRAL [Ovid], and CINHAL [Ebsco]) and grey literature were searched. A total of 170 studies were included and used for data extraction and analysis. This scoping review includes descriptive analysis, followed by a narrative account of the extracted data. Results were divided into three groups: pre-test, post-test, and comprehensive (both pre- and post-test) genetic counselling considerations based on indication for testing. More studies were conducted in the NICU than the PICU. Comprehensive genetic counselling was discussed in only 31% of all the included studies demonstrating the need for both pre-test and post-test genetic counselling for different clinical indications in addition to the need to account for different cultural aspects based on ethnicity and geographic factors.
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Affiliation(s)
- Sunu Kim
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Carly Pistawka
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sylvie Langlois
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
- BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
- Women's Health Research Institute, Vancouver, British Columbia, Canada
| | - Horacio Osiovich
- BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
- Women's Health Research Institute, Vancouver, British Columbia, Canada
- Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alice Virani
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
- Ethics Service, Provincial Health Services Authority, Vancouver, British Columbia, Canada
| | - Vanessa Kitchin
- Woodward Library, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alison M Elliott
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
- BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
- Women's Health Research Institute, Vancouver, British Columbia, Canada
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Ibarra-González I, Fernández-Lainez C, Vela-Amieva M, Guillén-López S, Belmont-Martínez L, López-Mejía L, Carrillo-Nieto RI, Guillén-Zaragoza NA. A Review of Disparities and Unmet Newborn Screening Needs over 33 Years in a Cohort of Mexican Patients with Inborn Errors of Intermediary Metabolism. Int J Neonatal Screen 2023; 9:59. [PMID: 37873850 PMCID: PMC10594536 DOI: 10.3390/ijns9040059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 09/26/2023] [Accepted: 10/02/2023] [Indexed: 10/25/2023] Open
Abstract
Advances in an early diagnosis by expanded newborn screening (NBS) have been achieved mainly in developed countries, while populations of middle- and low-income countries have poor access, leading to disparities. Expanded NBS in Mexico is not mandatory. Herein, we present an overview of the differences and unmet NBS needs of a group of Mexican patients with inborn errors of intermediary metabolism (IEiM), emphasizing the odyssey experienced to reach a diagnosis. We conducted a retrospective observational study of a historical cohort of patients with IEiM from a national reference center. A total of 924 patients with IEiM were included. Although 72.5% of the diseases identified are detectable by expanded NBS, only 35.4% of the patients were screened. The mortality in the unscreened group was almost two-fold higher than that in the screened group. Patients experienced a median diagnostic delay of 4 months, which is unacceptably long considering that to prevent disability and death, these disorders must be treated in the first days of life. Patients had to travel long distances to our reference center, contributing to their unacceptable diagnostic odyssey. This study highlights the urgent need to have an updated, expanded NBS program with adequate follow up in Mexico and promote the creation of regional medical care centers. We also provide compelling evidence that could prove valuable to decision makers overseeing public health initiatives for individuals impacted by IEiM from middle- and low-income countries.
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Affiliation(s)
- Isabel Ibarra-González
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México 04530, Mexico
- Unidad de Genética de la Nutrición, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
| | - Cynthia Fernández-Lainez
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México 04530, Mexico
| | - Marcela Vela-Amieva
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México 04530, Mexico
| | - Sara Guillén-López
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México 04530, Mexico
| | - Leticia Belmont-Martínez
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México 04530, Mexico
| | - Lizbeth López-Mejía
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México 04530, Mexico
| | - Rosa Itzel Carrillo-Nieto
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México 04530, Mexico
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Maron JL, Kingsmore S, Gelb BD, Vockley J, Wigby K, Bragg J, Stroustrup A, Poindexter B, Suhrie K, Kim JH, Diacovo T, Powell CM, Trembath A, Guidugli L, Ellsworth KA, Reed D, Kurfiss A, Breeze JL, Trinquart L, Davis JM. Rapid Whole-Genomic Sequencing and a Targeted Neonatal Gene Panel in Infants With a Suspected Genetic Disorder. JAMA 2023; 330:161-169. [PMID: 37432431 PMCID: PMC10336625 DOI: 10.1001/jama.2023.9350] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 05/12/2023] [Indexed: 07/12/2023]
Abstract
Importance Genomic testing in infancy guides medical decisions and can improve health outcomes. However, it is unclear whether genomic sequencing or a targeted neonatal gene-sequencing test provides comparable molecular diagnostic yields and times to return of results. Objective To compare outcomes of genomic sequencing with those of a targeted neonatal gene-sequencing test. Design, Setting, and Participants The Genomic Medicine for Ill Neonates and Infants (GEMINI) study was a prospective, comparative, multicenter study of 400 hospitalized infants younger than 1 year of age (proband) and their parents, when available, suspected of having a genetic disorder. The study was conducted at 6 US hospitals from June 2019 to November 2021. Exposure Enrolled participants underwent simultaneous testing with genomic sequencing and a targeted neonatal gene-sequencing test. Each laboratory performed an independent interpretation of variants guided by knowledge of the patient's phenotype and returned results to the clinical care team. Change in clinical management, therapies offered, and redirection of care was provided to families based on genetic findings from either platform. Main Outcomes and Measures Primary end points were molecular diagnostic yield (participants with ≥1 pathogenic variant or variant of unknown significance), time to return of results, and clinical utility (changes in patient care). Results A molecular diagnostic variant was identified in 51% of participants (n = 204; 297 variants identified with 134 being novel). Molecular diagnostic yield of genomic sequencing was 49% (95% CI, 44%-54%) vs 27% (95% CI, 23%-32%) with the targeted gene-sequencing test. Genomic sequencing did not report 19 variants found by the targeted neonatal gene-sequencing test; the targeted gene-sequencing test did not report 164 variants identified by genomic sequencing as diagnostic. Variants unidentified by the targeted genomic-sequencing test included structural variants longer than 1 kilobase (25.1%) and genes excluded from the test (24.6%) (McNemar odds ratio, 8.6 [95% CI, 5.4-14.7]). Variant interpretation by laboratories differed by 43%. Median time to return of results was 6.1 days for genomic sequencing and 4.2 days for the targeted genomic-sequencing test; for urgent cases (n = 107) the time was 3.3 days for genomic sequencing and 4.0 days for the targeted gene-sequencing test. Changes in clinical care affected 19% of participants, and 76% of clinicians viewed genomic testing as useful or very useful in clinical decision-making, irrespective of a diagnosis. Conclusions and Relevance The molecular diagnostic yield for genomic sequencing was higher than a targeted neonatal gene-sequencing test, but the time to return of routine results was slower. Interlaboratory variant interpretation contributes to differences in molecular diagnostic yield and may have important consequences for clinical management.
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Affiliation(s)
- Jill L. Maron
- Women and Infants Hospital of Rhode Island, Providence
| | - Stephen Kingsmore
- Rady Children’s Institute for Genomic Medicine, San Diego, California
| | - Bruce D. Gelb
- Mindich Child Health and Development Institute and Departments of Pediatrics and Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jerry Vockley
- University of Pittsburgh Medical Center Children’s Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Kristen Wigby
- Rady Children’s Institute for Genomic Medicine, San Diego, California
- Department of Pediatrics, University of California San Diego, San Diego
| | - Jennifer Bragg
- Mindich Child Health and Development Institute and Departments of Pediatrics and Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Annemarie Stroustrup
- Division of Neonatology, Department of Pediatrics, Cohen Children’s Medical Center at Northwell Health, New Hyde Park, New York, New York
| | - Brenda Poindexter
- Children’s Healthcare of Atlanta, Department of Pediatrics, Emory University, Atlanta, Georgia
| | - Kristen Suhrie
- Indiana University School of Medicine, Department of Pediatrics and Medical and Molecular Genetics, Indianapolis
| | - Jae H. Kim
- Perinatal Institute, Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Thomas Diacovo
- University of Pittsburgh Medical Center Children’s Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Cynthia M. Powell
- University of North Carolina Children’s Research Institute, University of North Carolina Children’s Hospital, Chapel Hill
| | - Andrea Trembath
- University of North Carolina Children’s Research Institute, University of North Carolina Children’s Hospital, Chapel Hill
| | - Lucia Guidugli
- Rady Children’s Institute for Genomic Medicine, San Diego, California
| | | | - Dallas Reed
- Department of Pediatrics, Tufts Medical Center, Boston, Massachusetts
| | - Anne Kurfiss
- Department of Pediatrics, Tufts Medical Center, Boston, Massachusetts
| | - Janis L. Breeze
- Tufts Clinical and Translational Science Institute, Tufts University, and Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts
| | - Ludovic Trinquart
- Tufts Clinical and Translational Science Institute, Tufts University, and Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts
| | - Jonathan M. Davis
- Department of Pediatrics, Tufts Medical Center, Boston, Massachusetts
- Tufts Clinical and Translational Science Institute, Tufts University, and Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts
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Beaman M, Fisher K, McDonald M, Tan QKG, Jackson D, Cocanougher BT, Landstrom AP, Hobbs CA, Cotten M, Cohen JL. Rapid Whole Genome Sequencing in Critically Ill Neonates Enables Precision Medicine Pipeline. J Pers Med 2022; 12:1924. [PMID: 36422100 PMCID: PMC9694815 DOI: 10.3390/jpm12111924] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 10/24/2022] [Accepted: 11/05/2022] [Indexed: 09/07/2023] Open
Abstract
Rapid genome sequencing in critically ill infants is increasingly identified as a crucial test for providing targeted and informed patient care. We report the outcomes of a pilot study wherein eight critically ill neonates received rapid whole genome sequencing with parental samples in an effort to establish a prompt diagnosis. Our pilot study resulted in a 37.5% diagnostic rate by whole genome sequencing alone and an overall 50% diagnostic rate for the cohort. We describe how the diagnoses led to identification of additional affected relatives and a change in management, the limitations of rapid genome sequencing, and some of the challenges with sample collection. Alongside this pilot study, our site simultaneously established a research protocol pipeline that will allow us to conduct research-based genomic testing in the cases for which a diagnosis was not reached by rapid genome sequencing or other available clinical testing. Here we describe the benefits, limitations, challenges, and potential for rapid whole genome sequencing to be incorporated into routine clinical evaluation in the neonatal period.
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Affiliation(s)
- Makenzie Beaman
- Duke University Medical Scientist Training Program, Durham, NC 27710, USA
- Duke University Department of Pediatrics, Division of Medical Genetics, Durham, NC 27710, USA
| | - Kimberley Fisher
- Duke University Department of Pediatrics, Division of Neonatology, Durham, NC 27710, USA
| | - Marie McDonald
- Duke University Department of Pediatrics, Division of Medical Genetics, Durham, NC 27710, USA
| | - Queenie K. G. Tan
- Duke University Department of Pediatrics, Division of Medical Genetics, Durham, NC 27710, USA
| | - David Jackson
- Duke University Department of Pediatrics, Division of Medical Genetics, Durham, NC 27710, USA
| | - Benjamin T. Cocanougher
- Duke University Department of Pediatrics, Division of Medical Genetics, Durham, NC 27710, USA
| | - Andrew P. Landstrom
- Duke University Department of Pediatrics, Division of Cardiology, Durham, NC 27710, USA
| | - Charlotte A. Hobbs
- Rady Children’s Institute for Genomic Medicine, Rady Children’s Hospital, San Diego, CA 92123, USA
| | - Michael Cotten
- Duke University Department of Pediatrics, Division of Neonatology, Durham, NC 27710, USA
| | - Jennifer L. Cohen
- Duke University Department of Pediatrics, Division of Medical Genetics, Durham, NC 27710, USA
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