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Perofsky K, Doshi A, Boulil Z, Beauchamp Walters J, Lee E, Dimmock D, Kingsmore S, Coufal NG. Palliative Care Outcomes for Critically ill Children After Rapid Whole Genome Sequencing. J Intensive Care Med 2024:8850666241304320. [PMID: 39648615 DOI: 10.1177/08850666241304320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/10/2024]
Abstract
OBJECTIVES Clinical utility of rapid whole genome sequencing (rWGS) has been reported in 30-70% of pediatric ICU patients who receive a molecular diagnosis. Rapid molecular diagnostic techniques have been increasingly integrated into critical care, yet the influence of genetic test results on palliative care related decision making is largely unknown. This study evaluates palliative care related outcomes after rWGS. DESIGN Retrospective chart review. SETTING Tertiary children's hospital. PATIENTS Acutely ill children ≤ 18 years of age who received rWGS due to suspected genetic disease between July 2016 and November 2019. INTERVENTIONS rWGS with associated precision medicine. MEASUREMENTS AND MAIN RESULTS 536 patients underwent rWGS, of whom 152 (28.4%) received a molecular diagnosis. Diagnostic rWGS was associated with more code status modifications, an increase in palliative care inpatient consultations, and greater enrollment in home-based palliative services. A comparison of diagnostic and nondiagnostic rWGS groups where palliative decisions were made prior to reporting of genomic testing results did not identify differences between the groups. In the subset of patients who had palliative care interventions (n = 57, 53% with diagnostic rWGS), time to palliative care consultation and time to compassionate extubation were shorter for patients with rWGS-based diagnoses (Kaplan-Meier method, P = .008; P = .015). Significantly more patients in this subgroup with diagnostic rWGS received home-based palliative care (Chi-squared, P = .025, 95% CI [-0.47, -0.05]). Univariate Poisson regression indicated that diagnostic rWGS is associated with significantly fewer emergency visits, PICU admissions, and unplanned intubations. CONCLUSIONS Diagnostic rWGS correlates with more rapid engagement of pediatric palliative care services, higher enrollment rates in home-based palliative care, and shorter time to compassionate extubation. Further studies are needed with larger cohort sizes and validated pediatric palliative care outcome measurement tools to accurately determine if this change in care is driven by the underlying condition or knowledge of a molecular diagnosis.
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Affiliation(s)
- Katherine Perofsky
- Department of Pediatrics, University of California at San Diego, La Jolla, CA, USA
- Rady Children's Hospital San Diego, San Diego, CA, USA
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | - Ami Doshi
- Rady Children's Hospital San Diego, San Diego, CA, USA
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | - Zaineb Boulil
- Rady Children's Hospital San Diego, San Diego, CA, USA
| | | | - Euyhyun Lee
- Altman Clinical and Translational Research Institute, University of California at San Diego, La Jolla, CA, USA
| | - David Dimmock
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | | | - Nicole G Coufal
- Department of Pediatrics, University of California at San Diego, La Jolla, CA, USA
- Rady Children's Hospital San Diego, San Diego, CA, USA
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
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Antoniou AA, McGinley R, Metzler M, Chaudhari BP. NeoGx: Machine-Recommended Rapid Genome Sequencing for Neonates. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.24.24309403. [PMID: 38978650 PMCID: PMC11230343 DOI: 10.1101/2024.06.24.24309403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Background Genetic disease is common in the Level IV Neonatal Intensive Care Unit (NICU), but neonatology providers are not always able to identify the need for genetic evaluation. We trained a machine learning (ML) algorithm to predict the need for genetic testing within the first 18 months of life using health record phenotypes. Methods For a decade of NICU patients, we extracted Human Phenotype Ontology (HPO) terms from clinical text with Natural Language Processing tools. Considering multiple feature sets, classifier architectures, and hyperparameters, we selected a classifier and made predictions on a validation cohort of 2,241 Level IV NICU admits born 2020-2021. Results Our classifier had ROC AUC of 0.87 and PR AUC of 0.73 when making predictions during the first week in the Level IV NICU. We simulated testing policies under which subjects begin testing at the time of first ML prediction, estimating diagnostic odyssey length both with and without the additional benefit of pursuing rGS at this time. Just by using ML to accelerate initial genetic testing (without changing the tests ordered), the median time to first genetic test dropped from 10 days to 1 day, and the number of diagnostic odysseys resolved within 14 days of NICU admission increased by a factor of 1.8. By additionally requiring rGS at the time of positive ML prediction, the number of diagnostic odysseys resolved within 14 days was 3.8 times higher than the baseline. Conclusions ML predictions of genetic testing need, together with the application of the right rapid testing modality, can help providers accelerate genetics evaluation and bring about earlier and better outcomes for patients.
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Affiliation(s)
- Austin A Antoniou
- The Office of Data Sciences, The Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
| | - Regan McGinley
- Division of Genetic and Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
| | - Marina Metzler
- Division of Newborn Medicine, Department of Pediatrics, Washington University in St. Louis, St. Louis, MO, USA
- Division of Newborn Medicine, Women and Infants Center, St. Louis Children's Hospital, St. Louis, MO, USA
| | - Bimal P Chaudhari
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
- Division of Genetic and Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
- Division of Neonatology, Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, USA
- Center for Clinical and Translational Science, The Ohio State University and Nationwide Children's Hospital, Columbus, OH, USA
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3
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Webb BD, Lau LY, Tsevdos D, Shewcraft RA, Corrigan D, Shi L, Lee S, Tyler J, Li S, Wang Z, Stolovitzky G, Edelmann L, Chen R, Schadt EE, Li L. An algorithm to identify patients aged 0-3 with rare genetic disorders. Orphanet J Rare Dis 2024; 19:183. [PMID: 38698482 PMCID: PMC11064409 DOI: 10.1186/s13023-024-03188-9] [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: 08/11/2023] [Accepted: 04/17/2024] [Indexed: 05/05/2024] Open
Abstract
BACKGROUND With over 7000 Mendelian disorders, identifying children with a specific rare genetic disorder diagnosis through structured electronic medical record data is challenging given incompleteness of records, inaccurate medical diagnosis coding, as well as heterogeneity in clinical symptoms and procedures for specific disorders. We sought to develop a digital phenotyping algorithm (PheIndex) using electronic medical records to identify children aged 0-3 diagnosed with genetic disorders or who present with illness with an increased risk for genetic disorders. RESULTS Through expert opinion, we established 13 criteria for the algorithm and derived a score and a classification. The performance of each criterion and the classification were validated by chart review. PheIndex identified 1,088 children out of 93,154 live births who may be at an increased risk for genetic disorders. Chart review demonstrated that the algorithm achieved 90% sensitivity, 97% specificity, and 94% accuracy. CONCLUSIONS The PheIndex algorithm can help identify when a rare genetic disorder may be present, alerting providers to consider ordering a diagnostic genetic test and/or referring a patient to a medical geneticist.
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Affiliation(s)
- Bryn D Webb
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
- GeneDx Holdings Corp, (formerly known as Sema4 Holdings Corp.), Stamford, Connecticut, CT, USA.
| | - Lisa Y Lau
- GeneDx Holdings Corp, (formerly known as Sema4 Holdings Corp.), Stamford, Connecticut, CT, USA
| | - Despina Tsevdos
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ryan A Shewcraft
- GeneDx Holdings Corp, (formerly known as Sema4 Holdings Corp.), Stamford, Connecticut, CT, USA
| | - David Corrigan
- GeneDx Holdings Corp, (formerly known as Sema4 Holdings Corp.), Stamford, Connecticut, CT, USA
| | - Lisong Shi
- GeneDx Holdings Corp, (formerly known as Sema4 Holdings Corp.), Stamford, Connecticut, CT, USA
| | - Seungwoo Lee
- GeneDx Holdings Corp, (formerly known as Sema4 Holdings Corp.), Stamford, Connecticut, CT, USA
| | - Jonathan Tyler
- GeneDx Holdings Corp, (formerly known as Sema4 Holdings Corp.), Stamford, Connecticut, CT, USA
| | - Shilong Li
- GeneDx Holdings Corp, (formerly known as Sema4 Holdings Corp.), Stamford, Connecticut, CT, USA
| | - Zichen Wang
- GeneDx Holdings Corp, (formerly known as Sema4 Holdings Corp.), Stamford, Connecticut, CT, USA
| | - Gustavo Stolovitzky
- GeneDx Holdings Corp, (formerly known as Sema4 Holdings Corp.), Stamford, Connecticut, CT, USA
| | - Lisa Edelmann
- GeneDx Holdings Corp, (formerly known as Sema4 Holdings Corp.), Stamford, Connecticut, CT, USA
| | - Rong Chen
- GeneDx Holdings Corp, (formerly known as Sema4 Holdings Corp.), Stamford, Connecticut, CT, USA
| | - Eric E Schadt
- Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Li Li
- GeneDx Holdings Corp, (formerly known as Sema4 Holdings Corp.), Stamford, Connecticut, CT, USA.
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Azuelos C, Marquis MA, Laberge AM. A systematic review of the assessment of the clinical utility of genomic sequencing: Implications of the lack of standard definitions and measures of clinical utility. Eur J Med Genet 2024; 68:104925. [PMID: 38432472 DOI: 10.1016/j.ejmg.2024.104925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 12/31/2023] [Accepted: 02/11/2024] [Indexed: 03/05/2024]
Abstract
PURPOSE Exome sequencing (ES) and genome sequencing (GS) are diagnostic tests for rare genetic diseases. Studies report clinical utility of ES/GS. The goal of this systematic review is to establish how clinical utility is defined and measured in studies evaluating the impacts of ES/GS results for pediatric patients. METHODS Relevant articles were identified in PubMed, Medline, Embase, and Web of Science. Eligible studies assessed clinical utility of ES/GS for pediatric patients published before 2021. Other relevant articles were added based on articles' references. Articles were coded to assess definitions and measures of clinical utility. RESULTS Of 1346 articles, 83 articles met eligibility criteria. Clinical utility was not clearly defined in 19% of studies and 92% did not use an explicit measure of clinical utility. When present, definitions of clinical utility diverged from recommended definitions and varied greatly, from narrow (diagnostic yield of ES/GS) to broad (including decisions about withdrawal of care/palliative care and/or impacts on other family members). CONCLUSION Clinical utility is used to guide policy and practice decisions about test use. The lack of a standard definition of clinical utility of ES/GS may lead to under- or overestimations of clinical utility, complicating policymaking and raising ethical issues.
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Affiliation(s)
- Claudia Azuelos
- Medical Genetics, Dept of Pediatrics, CHU Sainte-Justine and Université de Montréal, Canada.
| | - Marc-Antoine Marquis
- Palliative Care, Dept of Pediatrics, CHU Sainte-Justine and Université de Montréal, Canada
| | - Anne-Marie Laberge
- Medical Genetics, Dept of Pediatrics, CHU Sainte-Justine and Université de Montréal, Canada.
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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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Kafita D, Nkhoma P, Dzobo K, Sinkala M. Shedding light on the dark genome: Insights into the genetic, CRISPR-based, and pharmacological dependencies of human cancers and disease aggressiveness. PLoS One 2023; 18:e0296029. [PMID: 38117798 PMCID: PMC10732413 DOI: 10.1371/journal.pone.0296029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 12/05/2023] [Indexed: 12/22/2023] Open
Abstract
Investigating the human genome is vital for identifying risk factors and devising effective therapies to combat genetic disorders and cancer. Despite the extensive knowledge of the "light genome", the poorly understood "dark genome" remains understudied. In this study, we integrated data from 20,412 protein-coding genes in Pharos and 8,395 patient-derived tumours from The Cancer Genome Atlas (TCGA) to examine the genetic and pharmacological dependencies in human cancers and their treatment implications. We discovered that dark genes exhibited high mutation rates in certain cancers, similar to light genes. By combining the drug response profiles of cancer cells with cell fitness post-CRISPR-mediated gene knockout, we identified the crucial vulnerabilities associated with both dark and light genes. Our analysis also revealed that tumours harbouring dark gene mutations displayed worse overall and disease-free survival rates than those without such mutations. Furthermore, dark gene expression levels significantly influenced patient survival outcomes. Our findings demonstrated a similar distribution of genetic and pharmacological dependencies across the light and dark genomes, suggesting that targeting the dark genome holds promise for cancer treatment. This study underscores the need for ongoing research on the dark genome to better comprehend the underlying mechanisms of cancer and develop more effective therapies.
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Affiliation(s)
- Doris Kafita
- Department of Biomedical Sciences, University of Zambia, School of Health Sciences, Lusaka, Zambia
| | - Panji Nkhoma
- Department of Biomedical Sciences, University of Zambia, School of Health Sciences, Lusaka, Zambia
| | - Kevin Dzobo
- Department of Medicine, Division of Dermatology, Hair and Skin Research Laboratory, Wound and Keloid Scarring Research Unit, The South African Medical Research Council, University of Cape Town, Cape Town, South Africa
| | - Musalula Sinkala
- Department of Biomedical Sciences, University of Zambia, School of Health Sciences, Lusaka, Zambia
- Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine and Department of Integrative Biomedical Sciences, University of Cape Town, Computational Biology Division, Cape Town, South Africa
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7
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Schuler BA, Mosera M, Hatch LD, Grochowsky A, Wheeler F. Collaborative efforts to improve genetic testing in the neonatal intensive care unit. J Perinatol 2023; 43:1500-1505. [PMID: 37914812 DOI: 10.1038/s41372-023-01817-y] [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: 05/01/2023] [Revised: 09/22/2023] [Accepted: 10/23/2023] [Indexed: 11/03/2023]
Abstract
OBJECTIVE To reduce unnecessary simultaneous karyotype analysis and chromosomal microarray (CMA) testing in the neonatal intensive care unit (NICU). STUDY DESIGN This quality improvement study investigated the effect of collaborative efforts between the NICU, cytogenetics, and clinical genetics on numbers of genetic tests, rates of abnormal tests, and number of genetics consults comparing baseline and 5-month intervention periods. RESULTS Simultaneous karyotype analyses and CMAs decreased due to a decrease in karyotype testing (11.3% [68/600] vs. 0.98% [6/614], p < 0.01). Karyotype analyses were more likely to be abnormal (13.8% [12/87] vs. 64.0% [16/25], p < 0.01). Frequency of genetics consultation did not change (7.0% [42/600] vs. 9.4% [58/614], p = 0.12). CONCLUSION Collaborative efforts between the NICU, cytogenetics, and clinical genetics decreased redundant genetic testing, which demonstrated potential cost savings to our institution. Ongoing collaborative efforts could facilitate genetic testing practices in the NICU that readily evolve in tandem with genetic testing recommendations.
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Affiliation(s)
- Bryce A Schuler
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Mackenzie Mosera
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Dupree Hatch
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Angela Grochowsky
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ferrin Wheeler
- Department of Pathology, Vanderbilt University Medical Center, Nashville, TN, USA
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Campbell L, Fredericks J, Mathivha K, Moshesh P, Coovadia A, Chirwa P, Dillon B, Ghoor A, Lawrence D, Nair L, Mabaso N, Mokwele D, Novellie M, Krause A, Carstens N. The implementation and utility of clinical exome sequencing in a South African infant cohort. Front Genet 2023; 14:1277948. [PMID: 38028619 PMCID: PMC10665497 DOI: 10.3389/fgene.2023.1277948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Genetic disorders are significant contributors to infant hospitalization and mortality globally. The early diagnosis of these conditions in infants remains a considerable challenge. Clinical exome sequencing (CES) has shown to be a successful tool for the early diagnosis of genetic conditions, however, its utility in African infant populations has not been investigated. The impact of the under-representation of African genomic data, the cost of testing, and genomic workforce shortages, need to be investigated and evidence-based implementation strategies accounting for locally available genetics expertise and diagnostic infrastructure need to be developed. We evaluated the diagnostic utility of singleton CES in a cohort of 32 ill, South African infants from two State hospitals in Johannesburg, South Africa. We analysed the data using a series of filtering approaches, including a curated virtual gene panel consisting of genes implicated in neonatal-and early childhood-onset conditions and genes with known founder and common variants in African populations. We reported a diagnostic yield of 22% and identified seven pathogenic variants in the NPHS1, COL2A1, OCRL, SHOC2, TPRV4, MTM1 and STAC3 genes. This study demonstrates the utility value of CES in the South African State healthcare setting, providing a diagnosis to patients who would otherwise not receive one and allowing for directed management. We anticipate an increase in the diagnostic yield of our workflow with further refinement of the study inclusion criteria. This study highlights important considerations for the implementation of genomic medicine in under-resourced settings and in under-represented African populations where variant interpretation remains a challenge.
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Affiliation(s)
- L. Campbell
- Division of Human Genetics, National Health Laboratory Service andSchool of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - J. Fredericks
- Department of Paediatrics and Child Health, School of Clinical Medicine, Rahima Moosa Mother and Child Hospital, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - K. Mathivha
- Department of Paediatrics and Child Health, School of Clinical Medicine, Nelson Mandela Children’s Hospital, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - P. Moshesh
- Department of Paediatrics and Child Health, School of Clinical Medicine, Nelson Mandela Children’s Hospital, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - A. Coovadia
- Department of Paediatrics and Child Health, School of Clinical Medicine, Rahima Moosa Mother and Child Hospital, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - P. Chirwa
- Nelson Mandela Children’s Hospital, Johannesburg, South Africa
| | - B. Dillon
- Division of Human Genetics, National Health Laboratory Service andSchool of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - A. Ghoor
- Department of Paediatrics and Child Health, School of Clinical Medicine, Rahima Moosa Mother and Child Hospital, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - D. Lawrence
- Department of Paediatrics and Child Health, School of Clinical Medicine, Rahima Moosa Mother and Child Hospital, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - L. Nair
- Department of Paediatrics and Child Health, School of Clinical Medicine, Rahima Moosa Mother and Child Hospital, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - N. Mabaso
- Division of Human Genetics, National Health Laboratory Service andSchool of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - D. Mokwele
- Division of Human Genetics, National Health Laboratory Service andSchool of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - M. Novellie
- Division of Human Genetics, National Health Laboratory Service andSchool of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - A. Krause
- Division of Human Genetics, National Health Laboratory Service andSchool of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - N. Carstens
- Division of Human Genetics, National Health Laboratory Service andSchool of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Genomics Platform, South African Medical Research Council, Cape Town, South Africa
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Everett SS, Bomback M, Sahni R, Wapner RJ, Tolia VN, Clark RH, Lyford A, Hays T. Prevalence and Clinical Significance of Commonly Diagnosed Genetic Disorders in Preterm Infants. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.14.23292662. [PMID: 37503109 PMCID: PMC10370234 DOI: 10.1101/2023.07.14.23292662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Background and Objectives Preterm infants (<34 weeks' gestation) experience high rates of morbidity and mortality before hospital discharge. Genetic disorders substantially contribute to morbidity and mortality in related populations. The prevalence and clinical impact of genetic disorders is unknown in this population. We sought to determine the prevalence of commonly diagnosed genetic disorders in preterm infants, and to determine the association of disorders with morbidity and mortality. Methods This was a retrospective multicenter cohort study of infants born from 23 to 33 weeks' gestation between 2000 and 2020. Genetic disorders were abstracted from diagnoses present in electronic health records. We excluded infants transferred from or to other health care facilities prior to discharge or death when analyzing clinical outcomes. We determined the adjusted odds of pre-discharge morbidity or mortality after adjusting for known risk factors. Results Of 320,582 infants, 4196 (1.3%) had genetic disorders. Infants with trisomy 13, 18, 21, or cystic fibrosis had greater adjusted odds of severe morbidity or mortality. Of the 17,427 infants who died, 566 (3.2%) had genetic disorders. Of the 65,968 infants with a severe morbidity, 1319 (2.0%) had genetic disorders.ConclusionsGenetic disorders are prevalent in preterm infants, especially those with life-threatening morbidities. Clinicians should consider genetic testing for preterm infants with severe morbidity and maintain a higher index of suspicion for life-threatening morbidities in preterm infants with genetic disorders. Prospective genomic research is needed to clarify the prevalence of genetic disorders in this population, and the contribution of genetic disorders to preterm birth and subsequent morbidity and mortality. Article Summary Genetic disorders were found in 1.3% of preterm infants and at a higher rate (2.0%) in infants who died or developed severe morbidity. What’s Known on This Subject Previous research described the prevalence and associated short-term morbidity and mortality of trisomy 13, 18, and 21 in preterm infants. The prevalence of other commonly diagnosed genetic disorders and associated short-term morbidity and mortality in preterm infants is unknown. What This Study Adds In a multicenter, retrospective cohort of 320,582 preterm (<34 weeks' gestation) infants, we found that 1.3% had genetic disorders diagnosed through standard care. Multiple disorders were associated with increased adjusted odds of morbidities or mortality prior to hospital discharge. Contributors Statement Page Selin S. Everett conceptualized and designed the study, conducted analyses, drafted the initial manuscript, and critically reviewed and revised the manuscript.Dr. Thomas Hays conceptualized and designed the study, drafted the initial manuscript, and critically reviewed and revised the manuscript.Miles Bomback conceptualized and designed the study and critically reviewed and revised the manuscript.Drs. Veeral N. Tolia and Reese H. Clark coordinated and supervised data collection and critically reviewed and revised the manuscript.Dr. Rakesh Sahni conceptualized and designed the study and critically reviewed and revised the manuscript.Dr. Alex Lyford conducted analyses and critically reviewed and revised the manuscript. Dr. Ronald J. Wapner reviewed and critically revised the manuscript.All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.
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10
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Mustafa HJ, Sambatur EV, Barbera JP, Pagani G, Yaron Y, Baptiste CD, Wapner RJ, Khalil A. Diagnostic yield with exome sequencing in prenatal severe bilateral ventriculomegaly: a systematic review and meta-analysis. Am J Obstet Gynecol MFM 2023; 5:101048. [PMID: 37311485 DOI: 10.1016/j.ajogmf.2023.101048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 06/05/2023] [Indexed: 06/15/2023]
Abstract
OBJECTIVE This study aimed to determine the incremental diagnostic yield of prenatal exome sequencing after negative chromosomal microarray analysis results in prenatally diagnosed bilateral severe ventriculomegaly or hydrocephalus; another objective was to categorize the associated genes and variants. DATA SOURCES A systematic search was performed to identify relevant studies published until June 2022 using 4 databases (Cochrane Library, Web of Science, Scopus, and MEDLINE). STUDY ELIGIBILITY CRITERIA Studies in English reporting on the diagnostic yield of exome sequencing following negative chromosomal microarray analysis results in cases of prenatally diagnosed bilateral severe ventriculomegaly were included. METHODS Authors of cohort studies were contacted for individual participant data, and 2 studies provided their extended cohort data. The incremental diagnostic yield of exome sequencing was assessed for pathogenic/likely pathogenic findings in cases of: (1) all severe ventriculomegaly; (2) isolated severe ventriculomegaly (as the only cranial anomaly); (3) severe ventriculomegaly with other cranial anomalies; and (4) nonisolated severe ventriculomegaly (with extracranial anomalies). To be able to identify all reported genetic associations, the systematic review portion was not limited to any minimal severe ventriculomegaly case numbers; however, for the synthetic meta-analysis, we included studies with ≥3 severe ventriculomegaly cases. Meta-analysis of proportions was done using a random-effects model. Quality assessment of the included studies was performed using the modified STARD (Standards for Reporting of Diagnostic Accuracy Studies) criteria. RESULTS A total of 28 studies had 1988 prenatal exome sequencing analyses performed following negative chromosomal microarray analysis results for various prenatal phenotypes; this included 138 cases with prenatal bilateral severe ventriculomegaly. We categorized 59 genetic variants in 47 genes associated with prenatal severe ventriculomegaly along with their full phenotypic description. There were 13 studies reporting on ≥3 severe ventriculomegaly cases, encompassing 117 severe ventriculomegaly cases that were included in the synthetic analysis. Of all the included cases, 45% (95% confidence interval, 30-60) had positive pathogenic/likely pathogenic exome sequencing results. The highest yield was for nonisolated cases (presence of extracranial anomalies; 54%; 95% confidence interval, 38-69), followed by severe ventriculomegaly with other cranial anomalies (38%; 95% confidence interval, 22-57) and isolated severe ventriculomegaly (35%; 95% confidence interval, 18-58). CONCLUSION There is an apparent incremental diagnostic yield of prenatal exome sequencing following negative chromosomal microarray analysis results in bilateral severe ventriculomegaly. Although the greatest yield was found in cases of nonisolated severe ventriculomegaly, consideration should also be given to performing exome sequencing in cases of isolated severe ventriculomegaly as the only brain anomaly identified on prenatal imaging.
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Affiliation(s)
- Hiba J Mustafa
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Indiana University School of Medicine, Indianapolis, IN (Dr Mustafa); Fetal Center at Riley Children's Health, Indiana University Health, Indianapolis, IN (Dr Mustafa).
| | - Enaja V Sambatur
- Research Division, Houston Center for Maternal Fetal Medicine, Houston, TX (Ms Sambatur)
| | - Julie P Barbera
- Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA (Ms Barbera)
| | - Giorgio Pagani
- Maternal Fetal Medicine Unit, Department of Obstetrics and Gynecology, ASST Papa Giovanni XXIII, Bergamo, Italy (Dr Pagani)
| | - Yuval Yaron
- Prenatal Genetic Diagnosis Unit, Genetics Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel (Dr Yaron); Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (Dr Yaron)
| | - Caitlin D Baptiste
- Division of Women's Genetics, Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY (Drs Baptiste and Wapner)
| | - Ronald J Wapner
- Division of Women's Genetics, Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY (Drs Baptiste and Wapner)
| | - Asma Khalil
- Fetal Medicine Unit, St George's Hospital, St George's University of London, London, United Kingdom (Dr Khalil); Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom (Dr Khalil)
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11
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Pitman A, Huang X, Marth GT, Qiao Y. quickBAM: a parallelized BAM file access API for high-throughput sequence analysis informatics. Bioinformatics 2023; 39:btad463. [PMID: 37498562 PMCID: PMC10412403 DOI: 10.1093/bioinformatics/btad463] [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: 04/11/2023] [Revised: 05/31/2023] [Accepted: 07/26/2023] [Indexed: 07/28/2023] Open
Abstract
MOTIVATION In time-critical clinical settings, such as precision medicine, genomic data needs to be processed as fast as possible to arrive at data-informed treatment decisions in a timely fashion. While sequencing throughput has dramatically increased over the past decade, bioinformatics analysis throughput has not been able to keep up with the pace of computer hardware improvement, and consequently has now turned into the primary bottleneck. Modern computer hardware today is capable of much higher performance than current genomic informatics algorithms can typically utilize, therefore presenting opportunities for significant improvement of performance. Accessing the raw sequencing data from BAM files, e.g. is a necessary and time-consuming step in nearly all sequence analysis tools, however existing programming libraries for BAM access do not take full advantage of the parallel input/output capabilities of storage devices. RESULTS In an effort to stimulate the development of a new generation of faster sequence analysis tools, we developed quickBAM, a software library to accelerate sequencing data access by exploiting the parallelism in commodity storage hardware currently widely available. We demonstrate that analysis software ported to quickBAM consistently outperforms their current versions, in some cases finishing an analysis in under 3 min while the original version took 1.5 h, using the same storage solution. AVAILABILITY AND IMPLEMENTATION Open source and freely available at https://gitlab.com/yiq/quickbam/, we envision that quickBAM will enable a new generation of high-performance informatics tools, either directly boosting their performance if they are currently data-access bottlenecked, or allow data-access to keep up with further optimizations in algorithms and compute techniques.
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Affiliation(s)
- Anders Pitman
- UTAH Center for Genetic Discovery, Department of Human Genetics, University of Utah School of Medicine, 15 N 2030 E, Salt Lake City, UT 84112, United States
| | - Xiaomeng Huang
- UTAH Center for Genetic Discovery, Department of Human Genetics, University of Utah School of Medicine, 15 N 2030 E, Salt Lake City, UT 84112, United States
| | - Gabor T Marth
- UTAH Center for Genetic Discovery, Department of Human Genetics, University of Utah School of Medicine, 15 N 2030 E, Salt Lake City, UT 84112, United States
| | - Yi Qiao
- UTAH Center for Genetic Discovery, Department of Human Genetics, University of Utah School of Medicine, 15 N 2030 E, Salt Lake City, UT 84112, United States
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12
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Kapol N, Kamolvisit W, Kongkiattikul L, Huang-Ku E, Sribundit N, Lochid-Amnuay S, Samprasit N, Dulsamphan T, Juntama P, Suwanpanich C, Boonsimma P, Shotelersuk V, Teerawattananon Y. Using an experiment among clinical experts to determine the cost and clinical impact of rapid whole exome sequencing in acute pediatric settings. Front Pediatr 2023; 11:1204853. [PMID: 37465423 PMCID: PMC10350589 DOI: 10.3389/fped.2023.1204853] [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: 04/12/2023] [Accepted: 06/19/2023] [Indexed: 07/20/2023] Open
Abstract
Objective Evaluate the cost and clinical impacts of rapid whole-exome sequencing (rWES) for managing pediatric patients with unknown etiologies of critical illnesses through an expert elicitation experiment. Method Physicians in the intervention group (n = 10) could order rWES to complete three real-world case studies, while physicians in the control group (n = 8) could not. Costs and health outcomes between and within groups were compared. Results The cost incurred in the intervention group was consistently higher than the control by 60,000-70,000 THB. Fewer other investigation costs were incurred when rWES could provide a diagnosis. Less cost was incurred when an rWES that could lead to a change in management was ordered earlier. Diagnostic accuracy and the quality of non-pharmaceutical interventions were superior when rWES was available. Conclusion In acute pediatric settings, rWES offered clinical benefits at the average cost of 60,000-70,000 THB. Whether this test is cost-effective warrants further investigations. Several challenges, including cost and ethical concerns for assessing high-cost technology for rare diseases in resource-limited settings, were potentially overcome by our study design using expert elicitation methods.
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Affiliation(s)
- Nattiya Kapol
- Faculty of Pharmacy, Silpakorn University, Nakhon Pathom, Thailand
| | - Wuttichart Kamolvisit
- Center of Excellence for Medical Genomics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Excellence Center in Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Lalida Kongkiattikul
- Pediatric Critical Care, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Evan Huang-Ku
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Namfon Sribundit
- Faculty of Pharmacy, Silpakorn University, Nakhon Pathom, Thailand
| | | | | | - Thamonwan Dulsamphan
- Ministry of Public Health, Health Intervention and Technology Assessment Program (HITAP), Nonthaburi, Thailand
| | - Parntip Juntama
- Ministry of Public Health, Health Intervention and Technology Assessment Program (HITAP), Nonthaburi, Thailand
| | - Chotika Suwanpanich
- Ministry of Public Health, Health Intervention and Technology Assessment Program (HITAP), Nonthaburi, Thailand
| | - Ponghathai Boonsimma
- Center of Excellence for Medical Genomics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Vorasuk Shotelersuk
- Center of Excellence for Medical Genomics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Excellence Center in Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Yot Teerawattananon
- Ministry of Public Health, Health Intervention and Technology Assessment Program (HITAP), Nonthaburi, Thailand
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
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13
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Auber B, Schmidt G, Du C, von Hardenberg S. Diagnostic genomic sequencing in critically ill children. MED GENET-BERLIN 2023; 35:105-112. [PMID: 38840860 PMCID: PMC10842578 DOI: 10.1515/medgen-2023-2015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2024]
Abstract
Rare genetic diseases are a major cause of severe illnesses and deaths in new-borns and infants. Disease manifestation in critically ill children may be atypical or incomplete, making a monogenetic disease difficult to diagnose clinically. Rapid exome or genome ("genomic") sequencing in critically ill children demonstrated profound diagnostic and clinical value, and there is growing evidence that the faster a molecular diagnosis is established in such children, the more likely clinical management is influenced positively. An early molecular diagnosis enables treatment of critically ill children with precision medicine, has the potential to improve patient outcome and leads to healthcare cost savings. In this review, we outline the status quo of rapid genomic sequencing and possible future implications.
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Affiliation(s)
- Bernd Auber
- Hannover Medical SchoolDepartment of Human GeneticsHannoverGermany
| | - Gunnar Schmidt
- Hannover Medical SchoolDepartment of Human GeneticsHannoverGermany
| | - Chen Du
- Hannover Medical SchoolDepartment of Human GeneticsHannoverGermany
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14
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Ogawa E, Hishiki T, Hayakawa N, Suzuki H, Kosaki K, Suematsu M, Takenouchi T. Ketogenic diet in action: Metabolic profiling of pyruvate dehydrogenase deficiency. Mol Genet Metab Rep 2023; 35:100968. [PMID: 36974075 PMCID: PMC10038782 DOI: 10.1016/j.ymgmr.2023.100968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 03/12/2023] [Accepted: 03/12/2023] [Indexed: 03/29/2023] Open
Abstract
The pyruvate dehydrogenase complex serves as the main connection between cytosolic glycolysis and the tricarboxylic acid cycle within mitochondria. An infant with pyruvate dehydrogenase complex deficiency was treated with vitamin B1 supplementation and a ketogenic diet. These dietary modifications resolved the renal tubular reabsorption, central apnea, and transfusion-dependent anemia. A concurrent metabolome analysis demonstrated the resolution of the amino aciduria and an increased total amount of substrates in the tricarboxylic acid cycle, reflecting the improved mitochondrial energetics. Glutamate was first detected in the cerebrospinal fluid, accompanied by a clinical improvement, after the ketogenic ratio was increased to 3:1; thus, glutamate levels in cerebrospinal fluid may represent a biomarker for neuronal recovery. Metabolomic analyses of body fluids are useful for monitoring therapeutic effects in infants with inborn errors of carbohydrate metabolism.
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Affiliation(s)
- Eri Ogawa
- Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan
| | - Takako Hishiki
- Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Noriyo Hayakawa
- Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
- Clinical and Translational Research Center, Keio University School of Medicine, Tokyo, Japan
| | - Hisato Suzuki
- Center for Medical Genetics, Keio University School of Medicine, Tokyo, Japan
| | - Kenjiro Kosaki
- Center for Medical Genetics, Keio University School of Medicine, Tokyo, Japan
| | - Makoto Suematsu
- Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
- Central Institute for Experimental Animals, Kawasaki, Kanagawa, Japan
| | - Toshiki Takenouchi
- Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan
- Corresponding author.
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15
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Arkell K, Gyngell C, Stark Z, Vears DF. Rapid Genomic Testing in Intensive Care: Health Professionals' Perspectives on Ethical Challenges. CHILDREN (BASEL, SWITZERLAND) 2023; 10:children10050824. [PMID: 37238372 DOI: 10.3390/children10050824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/20/2023] [Accepted: 04/28/2023] [Indexed: 05/28/2023]
Abstract
Ultra-rapid genomic sequencing (urGS) is increasingly used in neonatal and pediatric intensive care settings (NICU/PICU), demonstrating high diagnostic and clinical utility. This study aimed to explore the perspectives of healthcare professionals (HPs) and the challenges raised by urGS, particularly when making treatment decisions. Four focus groups and two interviews were conducted with HPs who had experience using urGS in NICU/PICU. Inductive content analysis was used to analyze the data. Nineteen HPs participated overall (eight clinical geneticists, nine genetic counselors, and two intensivists). One challenging area of practice identified by HPs was setting realistic expectations for outcomes of urGS among HPs and families. HPs reported modifying pre-test counseling to include life-limiting diagnoses as a possible test outcome and felt concerned about the timing of the test and its impact on parent-child bonding. UrGS results of uncertain prognostic significance posed considerable challenges. Moral distress arose when families and HPs were misaligned regarding treatment goals following the urGS diagnosis. We identified areas of practice that remain ethically challenging for HPs using urGS in the NICU/PICU. HPs experiences of using urGS in the NICU/PICU could inform specialized training in withdrawal of treatment decision making for the genomics workforce.
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Affiliation(s)
- Katie Arkell
- Biomedical Ethics Research Group, Murdoch Children's Research Institute, Parkville, VIC 3052, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC 3052, Australia
| | - Christopher Gyngell
- Biomedical Ethics Research Group, Murdoch Children's Research Institute, Parkville, VIC 3052, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC 3052, Australia
- Melbourne Law School, The University of Melbourne, Carlton, VIC 3053, Australia
| | - Zornitza Stark
- Department of Paediatrics, The University of Melbourne, Parkville, VIC 3052, Australia
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, VIC 3052, Australia
- Australian Genomics, Parkville, VIC 3052, Australia
| | - Danya F Vears
- Biomedical Ethics Research Group, Murdoch Children's Research Institute, Parkville, VIC 3052, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC 3052, Australia
- Melbourne Law School, The University of Melbourne, Carlton, VIC 3053, Australia
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16
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Kim MJ, Kim SY, Lee JS, Kang S, Park LJ, Choi W, Jung JY, Kim T, Park SS, Ko JM, Seong MW, Chae JH. Rapid Targeted Sequencing Using Dried Blood Spot Samples for Patients With Suspected Actionable Genetic Diseases. Ann Lab Med 2023; 43:280-289. [PMID: 36544340 PMCID: PMC9791005 DOI: 10.3343/alm.2023.43.3.280] [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: 03/18/2022] [Revised: 07/09/2022] [Accepted: 11/16/2022] [Indexed: 12/24/2022] Open
Abstract
Background New genome sequencing technologies with enhanced diagnostic efficiency have emerged. Rapid and timely diagnosis of treatable rare genetic diseases can alter their medical management and clinical course. However, multiple factors, including ethical issues, must be considered. We designed a targeted sequencing platform to avoid ethical issues and reduce the turnaround time. Methods We designed an automated sequencing platform using dried blood spot samples and a NEOseq_ACTION panel comprising 254 genes associated with Mendelian diseases having curable or manageable treatment options. Retrospective validation was performed using data from 24 genetically and biochemically confirmed patients. Prospective validation was performed using data from 111 patients with suspected actionable genetic diseases. Results In prospective clinical validation, 13.5% patients presented with medically actionable diseases, including short- or medium-chain acyl-CoA dehydrogenase deficiencies (N=6), hyperphenylalaninemia (N=2), mucopolysaccharidosis type IVA (N=1), alpha thalassemia (N=1), 3-methylcrotonyl-CoA carboxylase 2 deficiency (N=1), propionic acidemia (N=1), glycogen storage disease, type IX(a) (N=1), congenital myasthenic syndrome (N=1), and citrullinemia, type II (N=1). Using the automated analytic pipeline, the turnaround time from blood collection to result reporting was <4 days. Conclusions This pilot study evaluated the possibility of rapid and timely diagnosis of treatable rare genetic diseases using a panel designed by a multidisciplinary team. The automated analytic pipeline maximized the clinical utility of rapid targeted sequencing for medically actionable genes, providing a strategy for appropriate and timely treatment of rare genetic diseases.
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Affiliation(s)
- Man Jin Kim
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Korea,Rare Disease Center, Seoul National University Hospital, Seoul, Korea
| | - Soo Yeon Kim
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Korea,Rare Disease Center, Seoul National University Hospital, Seoul, Korea
| | - Jin Sook Lee
- Department of Pediatrics, Department of Genome Medicine and Science, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | | | - Lae-Jeong Park
- Department of Electrical Engineering, Gangneung-Wonju National University, Gangneung, Korea
| | | | | | | | - Sung Sup Park
- Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Jung Min Ko
- Rare Disease Center, Seoul National University Hospital, Seoul, Korea,Department of Pediatrics, Department of Genome Medicine and Science, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Moon-Woo Seong
- Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea,Corresponding author: Moon-Woo Seong, M.D., Ph.D. Department of Laboratory Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea Tel: +82-2-2072-4180 Fax: +82-2-747-0359 E-mail: ;
| | - Jong Hee Chae
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, Korea,Rare Disease Center, Seoul National University Hospital, Seoul, Korea,Department of Pediatrics, Seoul National University Children’s Hospital, Seoul National University College of Medicine, Seoul, Korea,Co-corresponding author: Jong Hee Chae, M.D., Ph.D. Department of Genomic Medicine, Seoul National University Hospital, Department of Pediatrics, Seoul National University Children’s Hospital, Seoul National University College of Medicine, Rare Disease Center, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea Tel: +82-2-2072-3622 Fax: +82-2-2072-3917 E-mail:
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Jang MA. Rapid Targeted Genomic Testing: A Powerful Tool for Diagnostic Evaluation of Critically Ill Neonates and Infants With Suspected Genetic Diseases. Ann Lab Med 2023; 43:223-224. [PMID: 36544333 PMCID: PMC9791018 DOI: 10.3343/alm.2023.43.3.223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Mi-Ae Jang
- Department of Laboratory Medicine and Genetics, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Korea,Corresponding author: Mi-Ae Jang, M.D., Ph.D. Department of Laboratory Medicine and Genetics, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, 170 Jomaru-ro, Wonmi-gu, Bucheon 14584, Korea Tel: +82-32-621-6725, Fax: +82-32-621-5944 E-mail:
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18
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Li D. Genome sequencing as a single comprehensive test in molecular diagnosis. Eur J Hum Genet 2023; 31:3-4. [PMID: 36289408 PMCID: PMC9822974 DOI: 10.1038/s41431-022-01215-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 10/06/2022] [Indexed: 02/08/2023] Open
Affiliation(s)
- Dong Li
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
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Application of Prenatal Whole Exome Sequencing for Structural Congenital Anomalies-Experience from a Local Prenatal Diagnostic Laboratory. Healthcare (Basel) 2022; 10:healthcare10122521. [PMID: 36554045 PMCID: PMC9778831 DOI: 10.3390/healthcare10122521] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/05/2022] [Accepted: 12/07/2022] [Indexed: 12/15/2022] Open
Abstract
Fetal structural congenital abnormalities (SCAs) complicate 2-3% of all pregnancies. Whole-exome sequencing (WES) has been increasingly adopted prenatally when karyotyping and chromosomal microarray do not yield a diagnosis. This is a retrospective cohort study of 104 fetuses with SCAs identified on antenatal ultrasound in Hong Kong, where whole exome sequencing is performed. Molecular diagnosis was obtained in 25 of the 104 fetuses (24%). The highest diagnostic rate was found in fetuses with multiple SCAs (29.2%), particularly those with involvement of the cardiac and musculoskeletal systems. Variants of uncertain significance were detected in 8 out of the 104 fetuses (7.7%). Our study shows the utility of WES in the prenatal setting, and the extended use of the technology would be recommended in addition to conventional genetic workup.
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Ahram M, Abdelgawad F, ElHafeez SA, Abdelhafiz AS, Ibrahim ME, Elgamri A, Mohammed Z, El-Rhazi K, Elsebaie E, Gamel E, Shahouri M, Mostafa NT, Adarmouch L, Silverman H. Perceptions, attitudes, and willingness of the public in low- and middle-income countries of the Arab region to participate in biobank research. BMC Med Ethics 2022; 23:122. [PMID: 36457067 PMCID: PMC9713115 DOI: 10.1186/s12910-022-00855-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 11/04/2022] [Indexed: 12/03/2022] Open
Abstract
Population-based genomics studies have proven successful in identifying genetic variants associated with diseases. High-quality biospecimens linked with informative health data from diverse segments of the population have made such research possible. However, the success of biobank research depends on the willingness of the public to participate in this type of research. We aimed to explore the factors associated with the willingness of the public to participate in biobank research from four low- and middle-income countries in the Arab region (Egypt, Jordan, Morocco, and Sudan). We used a previously validated questionnaire to assess several constructs that included the public's perceptions, attitudes, and willingness to participate in biobank research. We recruited 967 participants. More than half did not have prior awareness of biobanks. Participants' willingness to donate biospecimens and health data was less than 10%. Our results also showed that participants harbored concerns with trust, privacy, and with data-sharing involving international researchers. Predictors of willingness to participate in biobank research included no previous involvement in research and positive attitudes toward biobanks. Finally, our study showed several differences between the four countries regarding several of the investigated constructs. We conclude there should be additional efforts to raise public awareness and enhance perceptions of the public in biobanking research to enhance trust. We further recommend qualitative research to explore the underlying factors that contribute to the public's concerns with international data sharing that would enhance global health.
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Affiliation(s)
- Mamoun Ahram
- grid.9670.80000 0001 2174 4509School of Medicine, The University of Jordan, Amman, Jordan
| | - Fatma Abdelgawad
- grid.7776.10000 0004 0639 9286Faculty of Dentistry, Cairo University, Cairo, Egypt
| | - Samar Abd ElHafeez
- grid.7155.60000 0001 2260 6941High Institute of Public Health, Alexandria University, Alexandria, Egypt
| | | | - Maha Emad Ibrahim
- grid.33003.330000 0000 9889 5690Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Alya Elgamri
- Faculty of Dentistry, University of Khartoum, Cairo, Egypt
| | - Zeinab Mohammed
- grid.411662.60000 0004 0412 4932Faculty of Medicine, Beni-Suef University, Beni Suef, Egypt
| | - Karima El-Rhazi
- Faculty of Medicine of Fez, Sidi Mohamed Ben Abellah University, Fez, Morocco
| | - Eman Elsebaie
- grid.7776.10000 0004 0639 9286Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Ehsan Gamel
- grid.9763.b0000 0001 0674 6207Faculty of Dentistry, University of Khartoum, Khartoum, Sudan
| | | | | | - Latifa Adarmouch
- grid.411840.80000 0001 0664 9298Faculty of Medicine, Cadi Ayyad University, Marrakesh, Morocco
| | - Henry Silverman
- grid.411024.20000 0001 2175 4264University of Maryland School of Medicine, Baltimore, MD USA
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Chad L, Anderson J, Cagliero D, Hayeems RZ, Ly LG, Szuto A. Rapid Genetic Testing in Pediatric and Neonatal Critical Care: A Scoping Review of Emerging Ethical Issues. Hosp Pediatr 2022; 12:e347-e359. [PMID: 36161483 DOI: 10.1542/hpeds.2022-006654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND Rapid genome-wide sequencing (rGWS) is being increasingly used to aid in prognostication and decision-making for critically ill newborns and children. Although its feasibility in this fast-paced setting has been described, this new paradigm of inpatient genetic care raises new ethical challenges. OBJECTIVE A scoping review was performed to (1) identify salient ethical issues in this area of practice; and (2) bring attention to gaps and ethical tensions that warrant more deliberate exploration. METHODS Data sources, Ovid Medline and Cochrane Central Register of Controlled Trials, were searched up to November 2021. Articles included were those in English relating to rGWS deployed rapidly in a critical care setting. Publications were examined for ethical themes and were further characterized as including a superficial or in-depth discussion of that theme. New themes were inductively identified as they emerged. RESULTS Ninety-nine studies, published in 2012 or thereafter, met inclusion criteria. Themes identified elaborated upon established ethical principles related to beneficence and nonmaleficence (ie, clinical utility, medical uncertainty, impact on family, and data security) autonomy (ie, informed consent), and justice (ie, resource allocation and disability rights). Many themes were only narrowly discussed. CONCLUSIONS The application of rGWS in neonatal and pediatric acute care is inherently tied to ethically charged issues, some of which are reported here. Attention to the ethical costs and benefits of rGWS is not always discussed, with important gaps and unanswered questions that call for ongoing focus on these ethical considerations in this next application of acute care genomics.
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Affiliation(s)
- Lauren Chad
- Divisions of Clinical and Metabolic Genetics
- Departments of Bioethics
- Departments of Paediatrics
| | | | | | - Robin Z Hayeems
- Child Health Evaluative Sciences, Hospital for Sick Children Research Institute,Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto,Toronto, Ontario, Canada
| | - Linh G Ly
- Neonatology
- Departments of Paediatrics
| | - Anna Szuto
- Genetic Counselling, Hospital for Sick Children,Toronto, Ontario, Canada
- Molecular Genetics
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22
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Owen MJ, Lefebvre S, Hansen C, Kunard CM, Dimmock DP, Smith LD, Scharer G, Mardach R, Willis MJ, Feigenbaum A, Niemi AK, Ding Y, Van Der Kraan L, Ellsworth K, Guidugli L, Lajoie BR, McPhail TK, Mehtalia SS, Chau KK, Kwon YH, Zhu Z, Batalov S, Chowdhury S, Rego S, Perry J, Speziale M, Nespeca M, Wright MS, Reese MG, De La Vega FM, Azure J, Frise E, Rigby CS, White S, Hobbs CA, Gilmer S, Knight G, Oriol A, Lenberg J, Nahas SA, Perofsky K, Kim K, Carroll J, Coufal NG, Sanford E, Wigby K, Weir J, Thomson VS, Fraser L, Lazare SS, Shin YH, Grunenwald H, Lee R, Jones D, Tran D, Gross A, Daigle P, Case A, Lue M, Richardson JA, Reynders J, Defay T, Hall KP, Veeraraghavan N, Kingsmore SF. An automated 13.5 hour system for scalable diagnosis and acute management guidance for genetic diseases. Nat Commun 2022; 13:4057. [PMID: 35882841 PMCID: PMC9325884 DOI: 10.1038/s41467-022-31446-6] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 06/08/2022] [Indexed: 12/31/2022] Open
Abstract
While many genetic diseases have effective treatments, they frequently progress rapidly to severe morbidity or mortality if those treatments are not implemented immediately. Since front-line physicians frequently lack familiarity with these diseases, timely molecular diagnosis may not improve outcomes. Herein we describe Genome-to-Treatment, an automated, virtual system for genetic disease diagnosis and acute management guidance. Diagnosis is achieved in 13.5 h by expedited whole genome sequencing, with superior analytic performance for structural and copy number variants. An expert panel adjudicated the indications, contraindications, efficacy, and evidence-of-efficacy of 9911 drug, device, dietary, and surgical interventions for 563 severe, childhood, genetic diseases. The 421 (75%) diseases and 1527 (15%) effective interventions retained are integrated with 13 genetic disease information resources and appended to diagnostic reports ( https://gtrx.radygenomiclab.com ). This system provided correct diagnoses in four retrospectively and two prospectively tested infants. The Genome-to-Treatment system facilitates optimal outcomes in children with rapidly progressive genetic diseases.
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Affiliation(s)
- Mallory J. Owen
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA
| | - Sebastien Lefebvre
- grid.422288.60000 0004 0408 0730Alexion Pharmaceuticals, Inc., Boston, MA 02210 USA
| | - Christian Hansen
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA
| | - Chris M. Kunard
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA 92122 USA
| | - David P. Dimmock
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.419735.d0000 0004 0615 8415Keck Graduate Institute, Claremont, CA 91711 USA
| | - Laurie D. Smith
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA
| | - Gunter Scharer
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA
| | - Rebecca Mardach
- grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.266100.30000 0001 2107 4242Department of Pediatrics, University of California San Diego, San Diego, CA 92093 USA
| | - Mary J. Willis
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA
| | - Annette Feigenbaum
- grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.266100.30000 0001 2107 4242Department of Pediatrics, University of California San Diego, San Diego, CA 92093 USA
| | - Anna-Kaisa Niemi
- grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.266100.30000 0001 2107 4242Department of Pediatrics, University of California San Diego, San Diego, CA 92093 USA
| | - Yan Ding
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA
| | - Luca Van Der Kraan
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA
| | - Katarzyna Ellsworth
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA
| | - Lucia Guidugli
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA
| | - Bryan R. Lajoie
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA 92122 USA
| | | | | | - Kevin K. Chau
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA
| | - Yong H. Kwon
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA
| | - Zhanyang Zhu
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA
| | - Sergey Batalov
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA
| | - Shimul Chowdhury
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.419735.d0000 0004 0615 8415Keck Graduate Institute, Claremont, CA 91711 USA
| | - Seema Rego
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA
| | - James Perry
- grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.266100.30000 0001 2107 4242Department of Pediatrics, University of California San Diego, San Diego, CA 92093 USA
| | - Mark Speziale
- grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.266100.30000 0001 2107 4242Department of Pediatrics, University of California San Diego, San Diego, CA 92093 USA
| | - Mark Nespeca
- grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.266100.30000 0001 2107 4242Department of Pediatrics, University of California San Diego, San Diego, CA 92093 USA ,grid.266100.30000 0001 2107 4242Department of Neuroscience, University of California San Diego, San Diego, CA 92093 USA
| | - Meredith S. Wright
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.419735.d0000 0004 0615 8415Keck Graduate Institute, Claremont, CA 91711 USA
| | | | | | - Joe Azure
- Fabric Genomics, Inc., Oakland, CA 94612 USA
| | - Erwin Frise
- Fabric Genomics, Inc., Oakland, CA 94612 USA
| | | | - Sandy White
- Fabric Genomics, Inc., Oakland, CA 94612 USA
| | - Charlotte A. Hobbs
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.266100.30000 0001 2107 4242Department of Pediatrics, University of California San Diego, San Diego, CA 92093 USA
| | - Sheldon Gilmer
- grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA
| | - Gail Knight
- grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.266100.30000 0001 2107 4242Department of Pediatrics, University of California San Diego, San Diego, CA 92093 USA
| | - Albert Oriol
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA
| | - Jerica Lenberg
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.419735.d0000 0004 0615 8415Keck Graduate Institute, Claremont, CA 91711 USA
| | - Shareef A. Nahas
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA
| | - Kate Perofsky
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.266100.30000 0001 2107 4242Department of Pediatrics, University of California San Diego, San Diego, CA 92093 USA
| | - Kyu Kim
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.266100.30000 0001 2107 4242Department of Pediatrics, University of California San Diego, San Diego, CA 92093 USA
| | - Jeanne Carroll
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.266100.30000 0001 2107 4242Department of Pediatrics, University of California San Diego, San Diego, CA 92093 USA
| | - Nicole G. Coufal
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.266100.30000 0001 2107 4242Department of Pediatrics, University of California San Diego, San Diego, CA 92093 USA
| | - Erica Sanford
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA
| | - Kristen Wigby
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.266100.30000 0001 2107 4242Department of Pediatrics, University of California San Diego, San Diego, CA 92093 USA
| | - Jacqueline Weir
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA 92122 USA
| | - Vicki S. Thomson
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA 92122 USA
| | - Louise Fraser
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA 92122 USA
| | - Seka S. Lazare
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA 92122 USA
| | - Yoon H. Shin
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA 92122 USA
| | | | - Richard Lee
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA 92122 USA
| | - David Jones
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA 92122 USA
| | - Duke Tran
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA 92122 USA
| | - Andrew Gross
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA 92122 USA
| | - Patrick Daigle
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA 92122 USA
| | - Anne Case
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA 92122 USA
| | - Marisa Lue
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA 92122 USA
| | | | - John Reynders
- grid.422288.60000 0004 0408 0730Alexion Pharmaceuticals, Inc., Boston, MA 02210 USA
| | - Thomas Defay
- grid.422288.60000 0004 0408 0730Alexion Pharmaceuticals, Inc., Boston, MA 02210 USA
| | - Kevin P. Hall
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA 92122 USA
| | - Narayanan Veeraraghavan
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA
| | - Stephen F. Kingsmore
- grid.286440.c0000 0004 0383 2910Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA ,grid.286440.c0000 0004 0383 2910Rady Children’s Hospital, San Diego, CA 92123 USA ,grid.419735.d0000 0004 0615 8415Keck Graduate Institute, Claremont, CA 91711 USA
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23
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McDermott H, Sherlaw-Sturrock C, Baptista J, Hartles-Spencer L, Naik S. Rapid exome sequencing in critically ill children impacts acute and long-term management of patients and their families: A retrospective regional evaluation. Eur J Med Genet 2022; 65:104571. [PMID: 35842091 DOI: 10.1016/j.ejmg.2022.104571] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 05/12/2022] [Accepted: 07/10/2022] [Indexed: 11/03/2022]
Abstract
INTRODUCTION Genetic disorders are a significant cause of paediatric morbidity and mortality. Rapid exome sequencing was introduced by the National Health Service (NHS) in England on 1st October 2019 for acutely unwell children with a likely monogenic disorder, or to inform current pregnancy management where there was a previously affected child or fetus. We present results of a 12-month patient cohort from one large clinical genetics centre in England. METHODS Patients were identified through local genetics laboratory records. We included all cases which underwent rapid exome sequencing between 1st October 2020 and 30th September 2021. DNA was extracted, quality checked and exported to the Exeter Genomic laboratory where library preparation, exome sequencing of all known human genes, gene-agnostic bioinformatic analysis, variant interpretation, MDT discussions and reporting were performed. RESULTS Ninety-five probands were included. Trio analysis was performed in 90% (85), duo in 8% (8), singleton in 2% (2). The median turnaround time for preliminary reports was 11 days. The overall diagnostic yield was 40% (38 patients); 36% (34 patients) made solely on exome with a further 4% on concomitant exome and microarray analysis. Highest diagnostic rates were seen in patients with neuro-regression, skeletal dysplasia, neuromuscular and neurometabolic conditions. Where the diagnosis was made solely through exome sequencing, management was altered for the proband or family in 97% (33/34). For the proband, this was most commonly that the diagnosis was able to inform current management and prognosis (20 patients, 59%), as well as direct specialist referrals (10 patients, 29%). For families, the exome sequencing results provided accurate recurrence risk counselling in 88% (30/34) with cascade testing offered if indicated in some families. CONCLUSIONS In the majority of cases, the genetic diagnoses influenced acute and long-term management for critically ill children and their families. Paediatric and neonatal clinicians in the NHS now have direct access to exome sequencing for their patients. The rapid turnaround time was particularly helpful to alter the management in acute clinical settings and is a powerful tool for diagnosing monogenic conditions. This study is an example of a highly successful integration of a national rapid exome sequencing service with diagnostic rates comparable to previously reported literature.
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Affiliation(s)
- Helen McDermott
- West Midlands Regional Genetics Service, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Charlotte Sherlaw-Sturrock
- West Midlands Regional Genetics Service, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK.
| | - Julia Baptista
- Exeter Genomics Laboratory, Royal Devon and Exeter NHS Foundation Trust, UK; Peninsula Medical School, Faculty of Health, University of Plymouth, UK
| | | | - Swati Naik
- West Midlands Regional Genetics Service, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
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24
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Sanford Kobayashi EF, Dimmock DP. Better and faster is cheaper. Hum Mutat 2022; 43:1495-1506. [PMID: 35723630 DOI: 10.1002/humu.24422] [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: 02/11/2022] [Revised: 05/23/2022] [Accepted: 06/08/2022] [Indexed: 11/09/2022]
Abstract
The rapid pace of advancement in genomic sequencing technology has recently reached a new milestone, with a record-setting time to molecular diagnosis of a mere 8 h. The catalyst behind this achievement is the accumulation of evidence indicating that quicker results more often make an impact on patient care and lead to healthcare cost savings. Herein, we review the diagnostic and clinical utility of rapid whole genome and rapid whole exome sequencing, the associated reduction in healthcare costs, and the relationship between these outcome measures and time-to-diagnosis.
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Affiliation(s)
- Erica F Sanford Kobayashi
- Department of Pediatrics, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Rady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California, USA
| | - David P Dimmock
- Rady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California, USA
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25
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Schuler BA, Nelson ET, Koziura M, Cogan JD, Hamid R, Phillips JA. Lessons learned: next-generation sequencing applied to undiagnosed genetic diseases. J Clin Invest 2022; 132:e154942. [PMID: 35362483 PMCID: PMC8970663 DOI: 10.1172/jci154942] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Rare genetic disorders, when considered together, are relatively common. Despite advancements in genetics and genomics technologies as well as increased understanding of genomic function and dysfunction, many genetic diseases continue to be difficult to diagnose. The goal of this Review is to increase the familiarity of genetic testing strategies for non-genetics providers. As genetic testing is increasingly used in primary care, many subspecialty clinics, and various inpatient settings, it is important that non-genetics providers have a fundamental understanding of the strengths and weaknesses of various genetic testing strategies as well as develop an ability to interpret genetic testing results. We provide background on commonly used genetic testing approaches, give examples of phenotypes in which the various genetic testing approaches are used, describe types of genetic and genomic variations, cover challenges in variant identification, provide examples in which next-generation sequencing (NGS) failed to uncover the variant responsible for a disease, and discuss opportunities for continued improvement in the application of NGS clinically. As genetic testing becomes increasingly a part of all areas of medicine, familiarity with genetic testing approaches and result interpretation is vital to decrease the burden of undiagnosed disease.
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Affiliation(s)
- Bryce A. Schuler
- Division of Medical Genetics and Genomics and
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Erica T. Nelson
- Division of Medical Genetics and Genomics and
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Mary Koziura
- Division of Medical Genetics and Genomics and
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Joy D. Cogan
- Division of Medical Genetics and Genomics and
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Rizwan Hamid
- Division of Medical Genetics and Genomics and
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - John A. Phillips
- Division of Medical Genetics and Genomics and
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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26
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Yang J, Xiu J, Sun Y, Liu F, Shang X, Li G. Three novel mutations of the BCKDHA, BCKDHB and DBT genes in Chinese children with maple syrup urine disease. J Pediatr Endocrinol Metab 2022; 35:303-312. [PMID: 34883003 DOI: 10.1515/jpem-2021-0672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 11/17/2021] [Indexed: 11/15/2022]
Abstract
BACKGROUND Maple syrup urine disease (MSUD) is a rare metabolic autosomal recessive disorder caused by deficiency of the branched-chain α-ketoacid dehydrogenase complex. Mutations in the BCKDHA, BCKDHB and DBT genes are responsible for MSUD. This study presents the clinical and molecular characterizations of four MSUD patients. METHODS Clinical data of patients were retrospectively analyzed, and genetic mutations were identified by whole-exome sequencing. CLUSTALX was employed to analyzed cross-species conservation of the mutant amino acid. The impact of the mutations was analyzed with PolyPhen-2 software. The I-TASSER website and PyMOL software were used to predict the protein three-position structure of the novel mutations carried by the patients. RESULTS Vomiting, irritability, feeding difficulties, seizures, dyspnoea, lethargy and coma were the main clinical presentations of MSUD. Cranial MRI showed abnormal symmetrical signals in accordance with the presentation of inherited metabolic encephalopathy. Seven mutations were detected in four patients, including three novel pathogenic mutations in the BCKDHA (c.656C>A), BCKDHB (deletion of a single-copy of BCKDHB) and DBT (c.1219dup) genes. Structural changes were compatible with the observed phenotypes. CONCLUSIONS Different types of MSUD can display heterogeneous clinical manifestations. Exhaustive molecular studies are necessary for a proper differential diagnosis. The newly identified mutation will play a key role in the prenatal diagnosis of MSUD in the future.
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Affiliation(s)
- Jianmei Yang
- Department of Pediatric Endocrinology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jianjun Xiu
- Radiology Department, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yan Sun
- Department of Pediatric Endocrinology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Fan Liu
- Department of Pediatric Endocrinology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Xiaohong Shang
- Department of Pediatric Endocrinology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Guimei Li
- Department of Pediatric Endocrinology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
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27
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Kruse J, Mueller R, Aghdassi AA, Lerch MM, Salloch S. Genetic Testing for Rare Diseases: A Systematic Review of Ethical Aspects. Front Genet 2022; 12:701988. [PMID: 35154238 PMCID: PMC8826556 DOI: 10.3389/fgene.2021.701988] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 11/17/2021] [Indexed: 11/29/2022] Open
Abstract
Genetic testing is associated with many ethical challenges on the individual, organizational and macro level of health care systems. The provision of genetic testing for rare diseases in particular requires a full understanding of the complexity and multiplicity of related ethical aspects. This systematic review presents a detailed overview of ethical aspects relevant to genetic testing for rare diseases as discussed in the literature. The electronic databases Pubmed, Science Direct and Web of Science were searched, resulting in 55 relevant publications. From the latter, a total of 93 different ethical aspects were identified. These ethical aspects were structured into three main categories (process of testing, consequences of the test outcome and contextual challenges) and 20 subcategories highlighting the diversity and complexity of ethical aspects relevant to genetic testing for rare diseases. This review can serve as a starting point for the further in-depth investigation of particular ethical issues, the education of healthcare professionals regarding this matter and for informing international policy development on genetic testing for rare diseases.
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Affiliation(s)
- Judith Kruse
- Institute of Ethics and History of Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Regina Mueller
- Institute of Ethics and History of Medicine, Medical Faculty, University Tübingen, Tübingen, Germany
| | - Ali A Aghdassi
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | | | - Sabine Salloch
- Institute of Ethics, History and Philosophy of Medicine, Hannover Medical School, Hannover, Germany
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Personalized medicine for rare neurogenetic disorders: can we make it happen? Cold Spring Harb Mol Case Stud 2022; 8:mcs.a006200. [PMID: 35332073 PMCID: PMC8958924 DOI: 10.1101/mcs.a006200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Rare neurogenetic disorders are collectively common, affecting 3% of the population, and often manifest with complex multiorgan comorbidity. With advances in genetic, -omics, and computational analysis, more children can be diagnosed and at an earlier age. Innovations in translational research facilitate the identification of treatment targets and development of disease-modifying drugs such as gene therapy, nutraceuticals, and drug repurposing. This increasingly allows targeted therapy to prevent the often devastating manifestations of rare neurogenetic disorders. In this perspective, successes in diagnosis, prevention, and treatment are discussed with a focus on inherited disorders of metabolism. Barriers for the identification, development, and implementation of rare disease-specific therapies are discussed. New methodologies, care networks, and collaborative frameworks are proposed to optimize the potential of personalized genomic medicine to decrease morbidity and improve lives of these vulnerable patients.
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Marouane A, Olde Keizer RACM, Frederix GWJ, Vissers LELM, de Boode WP, van Zelst-Stams WAG. Congenital anomalies and genetic disorders in neonates and infants: a single-center observational cohort study. Eur J Pediatr 2022; 181:359-367. [PMID: 34347148 PMCID: PMC8760213 DOI: 10.1007/s00431-021-04213-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 06/21/2021] [Accepted: 07/15/2021] [Indexed: 11/28/2022]
Abstract
Neonates with genetic disorders or congenital anomalies (CA) contribute considerably to morbidity and mortality in neonatal intensive care units (NICUs). The objective of this study is to study the prevalence of genetic disorders in an academic level IV NICU. We retrospective collected and analyzed both clinical and genetic data of all 1444 infants admitted to the NICU of the Radboudumc (October 2013 to October 2015). Data were collected until infants reached at least 2 years of age. A total of 13% (194/1444) of the patients were genetically tested, and 32% (461/1444) had a CA. A total of 37% (72/194) had a laboratory-confirmed genetic diagnosis. In 53%, the diagnosis was made post-neonatally (median age = 209 days) using assays including exome sequencing. Exactly 63% (291/461) of the patients with CA, however, never received genetic testing, despite being clinically similar those who did.Conclusions: Genetic disorders were suspected in 13% of the cohort, but only confirmed in 5%. Most received their genetic diagnosis in the post-neonatal period. Extrapolation of the diagnostic yield suggests that up to 6% of our cohort may have remained genetically undiagnosed. Our data show the need to improve genetic care in the NICU for more inclusive, earlier, and faster genetic diagnosis to enable tailored management. What is Known: • Genetic disorders are suspected in many neonates but only genetically confirmed in a minority. • The presence of a genetic disorder can be easily missed and will often lead to a diagnostic odyssey requiring extensive evaluations, both clinically and genetically. What is New: • Different aspects of the clinical features and uptake of genetic test in a NICU cohort. • The need to improve genetic care in the NICU for more inclusive, earlier, and faster genetic diagnosis to enable tailored management.
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Affiliation(s)
- A. Marouane
- Department of Human Genetics, Radboud University Medical Center, Radboud Institute of Health Sciences, Nijmegen, The Netherlands
| | - R. A. C. M. Olde Keizer
- Department of Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands
| | - G. W. J. Frederix
- Department of Human Genetics, Radboud University Medical Center, Radboud Institute of Health Sciences, Nijmegen, The Netherlands ,Department of Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands
| | - L. E. L. M. Vissers
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - W. P. de Boode
- Department of Neonatology, Radboudumc Amalia Children’s Hospital, Radboud Institute of Health Sciences, Nijmegen, the Netherlands
| | - W. A. G. van Zelst-Stams
- Department of Human Genetics, Radboud University Medical Center, Radboud Institute of Health Sciences, Nijmegen, The Netherlands
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30
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Current Trends in Genetics and Neonatal Care. Adv Neonatal Care 2021; 21:473-481. [PMID: 33538495 DOI: 10.1097/anc.0000000000000834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Genetic and genomic health applications are rapidly changing. A clear and updated description of these applications for the neonatal population is needed to guide current nursing practice. PURPOSE To provide scientific evidence and guidance on the current genetic and genomic applications pertinent to neonatal care. METHODS A search of CINAHL and PubMed was conducted using the search terms "newborn/neonatal" and "genetics," "genomics," "newborn screening," "pharmacogenomics," "ethical," and "legal." Google searches were also conducted to synthesize professional guidelines, position statements, and current genetic practices. FINDINGS/RESULTS Components of the newborn genetic assessment, including details on the newborn physical examination, family history, and laboratory tests pertinent to the newborn, are reported. The history and process of newborn screening are described, in addition to the impact of advancements, such as whole exome and genome sequencing, on newborn screening. Pharmacogenomics, a genomic application that is currently utilized primarily in the research context for neonates, is described and future implications stated. Finally, the specific ethical and legal implications for these genetic and genomic applications are detailed, along with genetic/genomic resources for nurses. IMPLICATIONS FOR PRACTICE Providing nurses with the most up-to-date evidence on genetic and genomic applications ensures their involvement and contributions to quality neonatal care. IMPLICATIONS FOR RESEARCH Ongoing genetic/genomic research is needed to understand the implications of genetic/genomic applications on the neonatal population and how these new applications will change neonatal care.
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31
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Denommé-Pichon AS, Vitobello A, Olaso R, Ziegler A, Jeanne M, Tran Mau-Them F, Couturier V, Racine C, Isidor B, Poë C, Jouan T, Boland A, Fin B, Bacq-Daian D, Besse C, Garde A, Prost A, Garret P, Tisserant É, Delanne J, Nambot S, Juven A, Gorce M, Nizon M, Vincent M, Moutton S, Fradin M, Lavillaureix A, Rollier P, Capri Y, Van-Gils J, Busa T, Sigaudy S, Pasquier L, Barth M, Bruel AL, Flamant C, Prouteau C, Bonneau D, Toutain A, Chantegret C, Callier P, Philippe C, Duffourd Y, Deleuze JF, Sorlin A, Faivre L, Thauvin-Robinet C. Accelerated genome sequencing with controlled costs for infants in intensive care units: a feasibility study in a French hospital network. Eur J Hum Genet 2021; 30:567-576. [PMID: 34782754 PMCID: PMC9091203 DOI: 10.1038/s41431-021-00998-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 10/12/2021] [Accepted: 10/26/2021] [Indexed: 11/09/2022] Open
Abstract
Obtaining a rapid etiological diagnosis for infants with early-onset rare diseases remains a major challenge. These diseases often have a severe presentation and unknown prognosis, and the genetic causes are very heterogeneous. In a French hospital network, we assessed the feasibility of performing accelerated trio-genome sequencing (GS) with limited additional costs by integrating urgent requests into the routine workflow. In addition to evaluating our capacity for such an approach, this prospective multicentre pilot study was designed to identify pitfalls encountered during its implementation. Over 14 months, we included newborns and infants hospitalized in neonatal or paediatric intensive care units with probable genetic disease and in urgent need for etiological diagnosis to guide medical care. The duration of each step and the pitfalls were recorded. We analysed any deviation from the planned schedule and identified obstacles. Trio-GS was performed for 37 individuals, leading to a molecular diagnosis in 18/37 (49%), and 21/37 (57%) after reanalysis. Corrective measures and protocol adaptations resulted in a median duration of 42 days from blood sampling to report. Accelerated trio-GS is undeniably valuable for individuals in an urgent care context. Such a circuit should coexist with a rapid or ultra-rapid circuit, which, although more expensive, can be used in particularly urgent cases. The drop in GS costs should result in its generalized use for diagnostic purposes and lead to a reduction of the costs of rapid GS.
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Affiliation(s)
- Anne-Sophie Denommé-Pichon
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France. .,UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France. .,Centre de Référence Maladies Rares "Anomalies du développement et syndromes malformatifs", Centre de Génétique, FHU-TRANSLAD et Institut GIMI, CHU Dijon Bourgogne, Dijon, France.
| | - Antonio Vitobello
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.,UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France
| | - Robert Olaso
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057, Évry, France.,LabEx GENMED, Paris, France
| | - Alban Ziegler
- Department of Biochemistry and Genetics, Angers University Hospital and UMR CNRS 6015-INSERM 1083, Angers, France
| | - Médéric Jeanne
- Service de Génétique, Centre Hospitalier Universitaire de Tours, Tours, France.,UMR 1253, iBrain, Université de Tours, Inserm, Tours, France
| | - Frédéric Tran Mau-Them
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.,UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France
| | - Victor Couturier
- UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France
| | - Caroline Racine
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.,UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.,Centre de Référence Maladies Rares "Anomalies du développement et syndromes malformatifs", Centre de Génétique, FHU-TRANSLAD et Institut GIMI, CHU Dijon Bourgogne, Dijon, France
| | - Bertrand Isidor
- CHU Nantes, Service de Génétique Médicale, Nantes, France.,L'institut du thorax, INSERM, CNRS, UNIV Nantes, CHU Nantes, Nantes, France
| | - Charlotte Poë
- UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France
| | - Thibaud Jouan
- UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France
| | - Anne Boland
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057, Évry, France
| | - Bertrand Fin
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057, Évry, France
| | - Delphine Bacq-Daian
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057, Évry, France
| | - Céline Besse
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057, Évry, France
| | - Aurore Garde
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.,UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.,Centre de Référence Maladies Rares "Anomalies du développement et syndromes malformatifs", Centre de Génétique, FHU-TRANSLAD et Institut GIMI, CHU Dijon Bourgogne, Dijon, France
| | - Adeline Prost
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.,UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France
| | - Philippine Garret
- UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France
| | - Émilie Tisserant
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.,UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France
| | - Julian Delanne
- UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.,Centre de Référence Maladies Rares "Anomalies du développement et syndromes malformatifs", Centre de Génétique, FHU-TRANSLAD et Institut GIMI, CHU Dijon Bourgogne, Dijon, France
| | - Sophie Nambot
- UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.,Centre de Référence Maladies Rares "Anomalies du développement et syndromes malformatifs", Centre de Génétique, FHU-TRANSLAD et Institut GIMI, CHU Dijon Bourgogne, Dijon, France
| | - Aurélien Juven
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.,UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France
| | - Magali Gorce
- Department of Biochemistry and Genetics, Angers University Hospital and UMR CNRS 6015-INSERM 1083, Angers, France
| | - Mathilde Nizon
- CHU Nantes, Service de Génétique Médicale, Nantes, France.,L'institut du thorax, INSERM, CNRS, UNIV Nantes, CHU Nantes, Nantes, France
| | - Marie Vincent
- CHU Nantes, Service de Génétique Médicale, Nantes, France.,L'institut du thorax, INSERM, CNRS, UNIV Nantes, CHU Nantes, Nantes, France
| | - Sébastien Moutton
- UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.,Centre de Référence Maladies Rares "Anomalies du développement et syndromes malformatifs", Centre de Génétique, FHU-TRANSLAD et Institut GIMI, CHU Dijon Bourgogne, Dijon, France
| | - Mélanie Fradin
- Service de Génétique Clinique, Centre de Référence Maladies Rares CLAD-Ouest, ERN ITHACA, CHU Rennes, Hôpital Sud, Rennes, France.,Service de Génétique Médicale, CH Saint-Brieuc, Saint-Brieuc, France
| | - Alinoë Lavillaureix
- Service de Génétique Clinique, Centre de Référence Maladies Rares CLAD-Ouest, ERN ITHACA, CHU Rennes, Hôpital Sud, Rennes, France
| | - Paul Rollier
- Service de Génétique Clinique, Centre de Référence Maladies Rares CLAD-Ouest, ERN ITHACA, CHU Rennes, Hôpital Sud, Rennes, France
| | - Yline Capri
- Service de Génétique Clinique, CHU Robert Debré, Paris, France
| | - Julien Van-Gils
- Service de Génétique Médicale, CHU de Bordeaux, Bordeaux, France
| | - Tiffany Busa
- Département de génétique médicale, CHU Timone enfants, AP-HM, Marseille, France
| | - Sabine Sigaudy
- Département de génétique médicale, CHU Timone enfants, AP-HM, Marseille, France
| | - Laurent Pasquier
- Service de Génétique Clinique, Centre de Référence Maladies Rares CLAD-Ouest, ERN ITHACA, CHU Rennes, Hôpital Sud, Rennes, France
| | - Magalie Barth
- Department of Biochemistry and Genetics, Angers University Hospital and UMR CNRS 6015-INSERM 1083, Angers, France
| | - Ange-Line Bruel
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.,UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France
| | - Cyril Flamant
- Réanimation Pédiatrique et Médecine Néonatale, CHU de Nantes, Nantes, France
| | - Clément Prouteau
- Department of Biochemistry and Genetics, Angers University Hospital and UMR CNRS 6015-INSERM 1083, Angers, France
| | - Dominique Bonneau
- Department of Biochemistry and Genetics, Angers University Hospital and UMR CNRS 6015-INSERM 1083, Angers, France
| | - Annick Toutain
- Service de Génétique, Centre Hospitalier Universitaire de Tours, Tours, France.,UMR 1253, iBrain, Université de Tours, Inserm, Tours, France
| | - Corinne Chantegret
- Réanimation pédiatrique, Hôpital d'Enfants, CHU Dijon Bourgogne, Dijon, France
| | - Patrick Callier
- UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.,Laboratoire de génétique chromosomique et moléculaire, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France
| | - Christophe Philippe
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.,UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France
| | - Yannis Duffourd
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.,UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France
| | - Jean-François Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057, Évry, France.,Centre de Référence, d'Innovation et d'Expertise (CREFIX) du plan FMG2025, US39, F-91057, Évry, France
| | - Arthur Sorlin
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.,UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.,Centre de Référence Maladies Rares "Anomalies du développement et syndromes malformatifs", Centre de Génétique, FHU-TRANSLAD et Institut GIMI, CHU Dijon Bourgogne, Dijon, France
| | - Laurence Faivre
- UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.,Centre de Référence Maladies Rares "Anomalies du développement et syndromes malformatifs", Centre de Génétique, FHU-TRANSLAD et Institut GIMI, CHU Dijon Bourgogne, Dijon, France
| | - Christel Thauvin-Robinet
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France. .,UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France. .,Centre de Référence Déficiences Intellectuelles de Causes Rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.
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Cortés F. EVALUACIÓN GENÉTICA EN EL RECIÉN NACIDO GRAVE O CON PATOLOGÍA NO PRECISADA. REVISTA MÉDICA CLÍNICA LAS CONDES 2021. [DOI: 10.1016/j.rmclc.2021.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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33
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Ouyang X, Zhang Y, Zhang L, Luo J, Zhang T, Hu H, Liu L, Zhong L, Zeng S, Xu P, Bai Z, Wong LJ, Wang J, Wang C, Wang B, Zhang VW. Clinical Utility of Rapid Exome Sequencing Combined With Mitochondrial DNA Sequencing in Critically Ill Pediatric Patients With Suspected Genetic Disorders. Front Genet 2021; 12:725259. [PMID: 34490048 PMCID: PMC8416976 DOI: 10.3389/fgene.2021.725259] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 07/30/2021] [Indexed: 02/04/2023] Open
Abstract
Genetic disorders are a frequent cause of hospitalization, morbidity and mortality in pediatric patients, especially in the neonatal or pediatric intensive care unit (NICU/PICU). In recent years, rapid genome-wide sequencing (exome or whole genome sequencing) has been applied in the NICU/PICU. However, mtDNA sequencing is not routinely available in rapid genetic diagnosis programs, which may fail to diagnose mtDNA mutation-associated diseases. Herein, we explored the clinical utility of rapid exome sequencing combined with mtDNA sequencing in critically ill pediatric patients with suspected genetic disorders. Rapid clinical exome sequencing (CES) was performed as a first-tier test in 40 critically ill pediatric patients (aged from 6 days to 15 years) with suspected genetic conditions. Blood samples were also collected from the parents for trio analysis. Twenty-six patients presented with neuromuscular abnormalities or other systemic abnormalities, suggestive of suspected mitochondrial diseases or the necessity for a differential diagnosis of other diseases, underwent rapid mtDNA sequencing concurrently. A diagnosis was made in 18 patients (45.0%, 18/40); three cases with de novo autosomal dominant variants, ten cases with homozygous or compound heterozygous variants, three cases with hemizygous variants inherited from mother, three cases with heterozygous variants inherited from either parent, and one case with a mtDNA mutation. The 18 patients were diagnosed with metabolic (n = 7), immunodeficiency (n = 4), cardiovascular (n = 2), neuromuscular (n = 2) disorders, and others. Genetic testing reports were generated with a median time of 5 days (range, 3–9 days). Thirteen patients that were diagnosed had an available medical treatment and resulted in a positive outcome. We propose that rapid exome sequencing combined with mitochondrial DNA sequencing should be available to patients with suspected mitochondrial diseases or undefined clinical features necessary for making a differential diagnosis of other diseases.
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Affiliation(s)
- Xuejun Ouyang
- Department of Pediatrics, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Yu Zhang
- Department of Pediatrics, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Lijuan Zhang
- Department of Pediatrics, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Jixuan Luo
- Department of Pediatrics, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Ting Zhang
- Department of Gastroenterology, Shanghai Children's Hospital, Shanghai, China
| | - Hui Hu
- Department of Gastroenterology, Shanghai Children's Hospital, Shanghai, China
| | - Lin Liu
- Department of Vasculocardiology, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Lieqiang Zhong
- Department of Vasculocardiology, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Shaoying Zeng
- Department of Vasculocardiology, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Pingyi Xu
- Department of Neurology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhenjiang Bai
- Department of Critical Care Medicine, Children's Hospital of Soochow University, Suzhou, China
| | - Lee-Jun Wong
- Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, TX, United States
| | - Jing Wang
- Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, TX, United States.,AmCare Genomics Lab, Guangzhou, China
| | | | - Bin Wang
- Department of Pediatrics, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Victor Wei Zhang
- Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, TX, United States.,AmCare Genomics Lab, Guangzhou, China
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Shickh S, Mighton C, Uleryk E, Pechlivanoglou P, Bombard Y. The clinical utility of exome and genome sequencing across clinical indications: a systematic review. Hum Genet 2021; 140:1403-1416. [PMID: 34368901 DOI: 10.1007/s00439-021-02331-x] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 07/31/2021] [Indexed: 12/15/2022]
Abstract
Exome sequencing and genome sequencing have the potential to improve clinical utility for patients undergoing genetic investigations. However, evidence of clinical utility is limited to pediatric populations; we aimed to fill this gap by conducting a systematic review of the literature on the clinical utility of exome/genome sequencing across disease indications in pediatric and adult populations. MEDLINE, EMBASE and Cochrane Library were searched between 2016 and 2020. Quantitative studies evaluating diagnostic yield were included; other measures of clinical utility such as changes to clinical management were documented if reported. Two reviewers screened, extracted data, and appraised risk of bias. Fifty studies met our inclusion criteria. All studies reported diagnostic yield, which ranged from 3 to 70%, with higher range of yields reported for neurological indications and acute illness ranging from 22 to 68% and 37-70%, respectively. Diagnoses triggered a range of clinical management changes including surveillance, reproductive-risk counseling, and identifying at-risk relatives in 4-100% of patients, with higher frequencies reported for acute illness ranging from 67 to 95%. The frequency of variants of uncertain significance ranged from 5 to 85% across studies with a potential trend of decreasing frequency over time and higher rates identified in patients of non-European ancestry. This review provides evidence for a higher range of diagnostic yield of exome/genome sequencing compared to standard genetic tests, particularly in neurological and acute indications. However, we identified significant heterogeneity in study procedures and outcomes, precluding a meaningful meta-analysis and certainty in the evidence available for decision-making. Future research that incorporates a comprehensive and consistent approach in capturing clinical utility of exome/genome sequencing across broader ancestral groups is necessary to improve diagnostic accuracy and yield and allow for analysis of trends over time.Prospero registration CRD42019094101.
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Affiliation(s)
- Salma Shickh
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.,Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada
| | - Chloe Mighton
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.,Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada
| | | | - Petros Pechlivanoglou
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.,The Hospital for Sick Children, Toronto, ON, Canada
| | - Yvonne Bombard
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada. .,Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada. .,Li Ka Shing Knowledge Institute of St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
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35
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Gal DB, Deuitch N, Lee SSJ, Simon RT, Char DS. Parental Attitudes Toward Clinical Genomic Sequencing in Children With Critical Cardiac Disease. Pediatr Crit Care Med 2021; 22:e419-e426. [PMID: 33591072 PMCID: PMC8357848 DOI: 10.1097/pcc.0000000000002669] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
OBJECTIVES Through improving diagnostics and prognostics genomic sequencing promises to significantly impact clinical decisions for children with critical cardiac disease. Little is known about how families of children with critical cardiac disease perceive the impact of genomic sequencing on clinical care choices. DESIGN Qualitative interview study. SETTING A high-volume, tertiary pediatric heart center. SUBJECTS Families of children with critical cardiac disease. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Thematic analysis of interview response content. Thirty-five families were interviewed. Three themes emerged: 1) benefits versus challenges of having genomic sequencing results, and 2) fears of clinical applications of genomic sequencing, and 3) nonclinical fears related to genomic sequencing. Participants struggled with perceived uses of genomic sequencing-derived knowledge. They described comfort in foreknowledge of their child's likely disease course but articulated significant apprehension around participating in care decisions with limited knowledge of genomic sequencing, genomic sequencing uses to inform clinical resource rationing decisions, and genomic sequencing uses by third parties impacting financial pressures families experience caring for a child with critical cardiac disease. CONCLUSIONS Families' perceptions of genomic sequencing uses in critical cardiac disease appear to strain their overall trust in the health system. Erosion of trust is concerning because the potential of genomic sequencing in critical cardiac disease will be unrealized if families are unwilling to undergo genomic sequencing, let alone to participate in the ongoing research needed to link genomic sequencing variants to clinical outcomes. Our findings may have implications for genomic sequencing use in children with other critical, high-acuity diseases.
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Affiliation(s)
- Dana B Gal
- Division of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA
- Lucile Packard Children's Hospital Stanford, Palo Alto, CA
| | - Natalie Deuitch
- Center for Biomedical Ethics, Stanford University School of Medicine, Palo Alto, CA
| | - Sandra Soo Jin Lee
- Division of Ethics, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
| | | | - Danton S Char
- Center for Biomedical Ethics, Stanford University School of Medicine, Palo Alto, CA
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA
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Exome and genome sequencing for pediatric patients with congenital anomalies or intellectual disability: an evidence-based clinical guideline of the American College of Medical Genetics and Genomics (ACMG). Genet Med 2021; 23:2029-2037. [PMID: 34211152 DOI: 10.1038/s41436-021-01242-6] [Citation(s) in RCA: 274] [Impact Index Per Article: 68.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 05/26/2021] [Accepted: 05/26/2021] [Indexed: 01/22/2023] Open
Abstract
PURPOSE To develop an evidence-based clinical practice guideline for the use of exome and genome sequencing (ES/GS) in the care of pediatric patients with one or more congenital anomalies (CA) with onset prior to age 1 year or developmental delay (DD) or intellectual disability (ID) with onset prior to age 18 years. METHODS The Pediatric Exome/Genome Sequencing Evidence-Based Guideline Work Group (n = 10) used the Grading of Recommendations Assessment, Development and Evaluation (GRADE) evidence to decision (EtD) framework based on the recent American College of Medical Genetics and Genomics (ACMG) systematic review, and an Ontario Health Technology Assessment to develop and present evidence summaries and health-care recommendations. The document underwent extensive internal and external peer review, and public comment, before approval by the ACMG Board of Directors. RESULTS The literature supports the clinical utility and desirable effects of ES/GS on active and long-term clinical management of patients with CA/DD/ID, and on family-focused and reproductive outcomes with relatively few harms. Compared with standard genetic testing, ES/GS has a higher diagnostic yield and may be more cost-effective when ordered early in the diagnostic evaluation. CONCLUSION We strongly recommend that ES/GS be considered as a first- or second-tier test for patients with CA/DD/ID.
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Dimmock D, Caylor S, Waldman B, Benson W, Ashburner C, Carmichael JL, Carroll J, Cham E, Chowdhury S, Cleary J, D’Harlingue A, Doshi A, Ellsworth K, Galarreta CI, Hobbs C, Houtchens K, Hunt J, Joe P, Joseph M, Kaplan RH, Kingsmore SF, Knight J, Kochhar A, Kronick RG, Limon J, Martin M, Rauen KA, Schwarz A, Shankar SP, Spicer R, Rojas MA, Vargas-Shiraishi O, Wigby K, Zadeh N, Farnaes L. Project Baby Bear: Rapid precision care incorporating rWGS in 5 California children's hospitals demonstrates improved clinical outcomes and reduced costs of care. Am J Hum Genet 2021; 108:1231-1238. [PMID: 34089648 PMCID: PMC8322922 DOI: 10.1016/j.ajhg.2021.05.008] [Citation(s) in RCA: 148] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 05/14/2021] [Indexed: 12/31/2022] Open
Abstract
Genetic disorders are a leading contributor to mortality in neonatal and pediatric intensive care units (ICUs). Rapid whole-genome sequencing (rWGS)-based rapid precision medicine (RPM) is an intervention that has demonstrated improved clinical outcomes and reduced costs of care. However, the feasibility of broad clinical deployment has not been established. The objective of this study was to implement RPM based on rWGS and evaluate the clinical and economic impact of this implementation as a first line diagnostic test in the California Medicaid (Medi-Cal) program. Project Baby Bear was a payor funded, prospective, real-world quality improvement project in the regional ICUs of five tertiary care children's hospitals. Participation was limited to acutely ill Medi-Cal beneficiaries who were admitted November 2018 to May 2020, were <1 year old and within one week of hospitalization, or had just developed an abnormal response to therapy. The whole cohort received RPM. There were two prespecified primary outcomes-changes in medical care reported by physicians and changes in the cost of care. The majority of infants were from underserved populations. Of 184 infants enrolled, 74 (40%) received a diagnosis by rWGS that explained their admission in a median time of 3 days. In 58 (32%) affected individuals, rWGS led to changes in medical care. Testing and precision medicine cost $1.7 million and led to $2.2-2.9 million cost savings. rWGS-based RPM had clinical utility and reduced net health care expenditures for infants in regional ICUs. rWGS should be considered early in ICU admission when the underlying etiology is unclear.
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Affiliation(s)
- David Dimmock
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92130, USA,Corresponding author
| | - Sara Caylor
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92130, USA
| | - Bryce Waldman
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92130, USA
| | - Wendy Benson
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92130, USA
| | | | | | - Jeanne Carroll
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92130, USA,University of California, San Diego, San Diego, CA 92093, USA
| | - Elaine Cham
- University of California, San Francisco, Benioff Children’s Hospital Oakland, Oakland, CA 94609, USA
| | - Shimul Chowdhury
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92130, USA
| | - John Cleary
- Children’s Hospital of Orange County, Orange, CA 92868, USA
| | - Arthur D’Harlingue
- University of California, San Francisco, Benioff Children’s Hospital Oakland, Oakland, CA 94609, USA
| | - A. Doshi
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92130, USA,University of California, San Diego, San Diego, CA 92093, USA
| | | | | | - Charlotte Hobbs
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92130, USA
| | - Kathleen Houtchens
- University of California, San Francisco, Benioff Children’s Hospital Oakland, Oakland, CA 94609, USA
| | - Juliette Hunt
- Children’s Hospital of Orange County, Orange, CA 92868, USA
| | - Priscilla Joe
- University of California, San Francisco, Benioff Children’s Hospital Oakland, Oakland, CA 94609, USA
| | | | | | | | - Jason Knight
- Children’s Hospital of Orange County, Orange, CA 92868, USA
| | | | - Richard G. Kronick
- Torrey Pines Health Group, Inc., San Diego, CA 92037, USA,Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA 92093, USA
| | - Jolie Limon
- Valley Children’s Hospital, Madera, CA 93636, USA
| | - Madelena Martin
- University of California, Davis and Davis Children’s Hospital, Sacramento, CA 95817, USA
| | - Katherine A. Rauen
- University of California, Davis and Davis Children’s Hospital, Sacramento, CA 95817, USA
| | - Adam Schwarz
- Children’s Hospital of Orange County, Orange, CA 92868, USA
| | - Suma P. Shankar
- University of California, Davis and Davis Children’s Hospital, Sacramento, CA 95817, USA
| | | | | | | | - Kristen Wigby
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92130, USA,University of California, San Diego, San Diego, CA 92093, USA
| | - Neda Zadeh
- Children’s Hospital of Orange County, Orange, CA 92868, USA
| | - Lauge Farnaes
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92130, USA
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Owen MJ, Lenberg J, Feigenbaum A, Gold J, Chau K, Bezares-Orin Z, Ding Y, Chowdhury S, Kingsmore SF. Postmortem whole-genome sequencing on a dried blood spot identifies a novel homozygous SUOX variant causing isolated sulfite oxidase deficiency. Cold Spring Harb Mol Case Stud 2021; 7:mcs.a006091. [PMID: 34117075 PMCID: PMC8208044 DOI: 10.1101/mcs.a006091] [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: 02/26/2021] [Accepted: 03/26/2021] [Indexed: 12/03/2022] Open
Abstract
Rapid whole-genome sequencing (rWGS) has shown that genetic diseases are a common cause of infant mortality in neonatal intensive care units. Dried blood spots collected for newborn screening allow investigation of causes of infant mortality that were not diagnosed during life. Here, we present a neonate who developed seizures and encephalopathy on the third day of life that was refractory to antiepileptic medications. The patient died on day of life 16 after progressive respiratory failure and sepsis. The parents had lost two prior children after similar presentations, neither of whom had a definitive diagnosis. Postmortem rWGS of a dried blood spot identified a pathogenic homozygous frameshift variant in the SUOX gene associated with isolated sulfite oxidase deficiency (c.1390_1391del, p.Leu464GlyfsTer10). This case highlights that early, accurate molecular diagnosis has the potential to influence prenatal counseling and guide management in rare, genetic disorders and has added importance in cases of a strong family history and risk factors such as consanguinity.
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Affiliation(s)
- Mallory J Owen
- Rady Children's Institute for Genomic Medicine, San Diego, California 92123, USA.,Rady Children's Hospital, San Diego, California 92123, USA
| | - Jerica Lenberg
- Rady Children's Institute for Genomic Medicine, San Diego, California 92123, USA.,Rady Children's Hospital, San Diego, California 92123, USA
| | - Annette Feigenbaum
- Rady Children's Hospital, San Diego, California 92123, USA.,Department of Pediatrics, University of California San Diego, San Diego, California 92093, USA
| | - Jeffrey Gold
- Rady Children's Hospital, San Diego, California 92123, USA
| | - Kevin Chau
- Rady Children's Institute for Genomic Medicine, San Diego, California 92123, USA.,Rady Children's Hospital, San Diego, California 92123, USA
| | - Zaira Bezares-Orin
- Rady Children's Institute for Genomic Medicine, San Diego, California 92123, USA
| | - Yan Ding
- Rady Children's Institute for Genomic Medicine, San Diego, California 92123, USA.,Rady Children's Hospital, San Diego, California 92123, USA
| | - Shimul Chowdhury
- Rady Children's Institute for Genomic Medicine, San Diego, California 92123, USA.,Rady Children's Hospital, San Diego, California 92123, USA
| | - Stephen F Kingsmore
- Rady Children's Institute for Genomic Medicine, San Diego, California 92123, USA.,Rady Children's Hospital, San Diego, California 92123, USA
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39
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罗 芳, 李 昊. [Application of the artificial intelligence-rapid whole-genome sequencing diagnostic system in the neonatal/pediatric intensive care unit]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2021; 23:433-437. [PMID: 34020729 PMCID: PMC8140348 DOI: 10.7499/j.issn.1008-8830.2012143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 03/10/2021] [Indexed: 06/12/2023]
Abstract
Pediatric patients in the neonatal intensive care unit (NICU) and the pediatric intensive care unit (PICU) have a high incidence rate of genetic diseases, and early rapid etiological diagnosis and targeted interventions can help to reduce mortality or improve prognosis. Whole-genome sequencing covers more comprehensive information including point mutation, copy number, and structural and rearrangement variations in the intron region and has become one of the powerful diagnostic tools for genetic diseases. Sequencing data require highly professional judgment and interpretation and are returned for clinical application after several weeks, which cannot meet the need for the diagnosis and treatment of genetic diseases in children. This article introduces the clinical application of rapid whole-genome sequencing in the NICU/PICU and briefly describes related techniques of artificial intelligence-rapid whole-genome sequencing diagnostic system, a rapid high-throughput automated platform for the diagnosis of genetic diseases. The diagnostic system introduces artificial intelligence into the processing of data after whole-genome sequencing and can solve the problems of long time and professional interpretation required for routine genome sequencing and provide a rapid diagnostic regimen for critically ill children suspected of genetic diseases within 24 hours, and therefore, it holds promise for clinical application.
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Affiliation(s)
- 芳 罗
- 浙江大学医学院附属第一医院儿科, 浙江杭州 310003Department of Pediatrics, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - 昊旻 李
- 浙江大学医学院附属儿童医院, 浙江杭州 310052
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40
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Maron JL, Kingsmore SF, Wigby K, Chowdhury S, Dimmock D, Poindexter B, Suhrie K, Vockley J, Diacovo T, Gelb BD, Stroustrup A, Powell CM, Trembath A, Gallen M, Mullen TE, Tanpaiboon P, Reed D, Kurfiss A, Davis JM. Novel Variant Findings and Challenges Associated With the Clinical Integration of Genomic Testing: An Interim Report of the Genomic Medicine for Ill Neonates and Infants (GEMINI) Study. JAMA Pediatr 2021; 175:e205906. [PMID: 33587123 PMCID: PMC7885094 DOI: 10.1001/jamapediatrics.2020.5906] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 09/30/2020] [Indexed: 12/18/2022]
Abstract
Importance A targeted genomic sequencing platform focused on diseases presenting in the first year of life may minimize financial and ethical challenges associated with rapid whole-genomic sequencing. Objective To report interim variants and associated interpretations of an ongoing study comparing rapid whole-genomic sequencing with a novel targeted genomic platform composed of 1722 actionable genes targeting disorders presenting in infancy. Design, Setting, and Participants The Genomic Medicine in Ill Neonates and Infants (GEMINI) study is a prospective, multicenter clinical trial with projected enrollment of 400 patients. The study is being conducted at 6 US hospitals. Hospitalized infants younger than 1 year of age suspected of having a genetic disorder are eligible. Results of the first 113 patients enrolled are reported here. Patient recruitment began in July 2019, and the interim analysis of enrolled patients occurred from March to June 2020. Interventions Patient (proband) and parents (trios, when available) were tested simultaneously on both genomic platforms. Each laboratory performed its own phenotypically driven interpretation and was blinded to other results. Main Outcomes and Measures Variants were classified according to the American College of Medical Genetics and Genomics standards of pathogenic (P), likely pathogenic (LP), or variants of unknown significance (VUS). Chromosomal and structural variations were reported by rapid whole-genomic sequencing. Results Gestational age of 113 patients ranged from 23 to 40 weeks and postmenstrual age from 27 to 83 weeks. Sixty-seven patients (59%) were male. Diagnostic and/or VUS were returned for 51 patients (45%), while 62 (55%) had negative results. Results were concordant between platforms in 83 patients (73%). Thirty-seven patients (33%) were found to have a P/LP variant by 2 or both platforms and 14 (12%) had a VUS possibly related to phenotype. The median day of life at diagnosis was 22 days (range, 3-313 days). Significant alterations in clinical care occurred in 29 infants (78%) with a P/LP variant. Incidental findings were reported in 7 trios. Of 51 positive cases, 34 (67%) differed in the reported result because of technical limitations of the targeted platform, interpretation of the variant, filtering discrepancies, or multiple causes. Conclusions and Relevance As comprehensive genetic testing becomes more routine, these data highlight the critically important variant detection capabilities of existing genomic sequencing technologies and the significant limitations that must be better understood.
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Affiliation(s)
- Jill L. Maron
- Mother Infant Research Institute, Tufts Medical Center, Boston, Massachusetts
| | | | - Kristen Wigby
- Rady Children’s Institute for Genomic Medicine, San Diego, California
- Department of Pediatrics, University of California, San Diego, San Diego
| | - Shimul Chowdhury
- Rady Children’s Institute for Genomic Medicine, San Diego, California
| | - David Dimmock
- Rady Children’s Institute for Genomic Medicine, San Diego, California
| | - Brenda Poindexter
- Children’s Healthcare of Atlanta, Department of Pediatrics, Emory University, Atlanta, Georgia
| | - Kristen Suhrie
- Perinatal Institute, Cincinnati Children’s Hospital, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Jerry Vockley
- UPMC Children’s Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Thomas Diacovo
- UPMC Children’s Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Bruce D. Gelb
- Mindich Child Health and Development Institute and Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Annemarie Stroustrup
- Department of Pediatrics, Cohen Children’s Medical Center, New Hyde Park, New York, New York
| | - Cynthia M. Powell
- University of North Carolina Children’s Research Institute, University of North Carolina Health Children’s Hospital, Chapel Hill
| | - Andrea Trembath
- University of North Carolina Children’s Research Institute, University of North Carolina Health Children’s Hospital, Chapel Hill
| | - Matthew Gallen
- Athena Diagnostics/Quest Diagnostics, Marlborough, Massachusetts
| | - Thomas E. Mullen
- Athena Diagnostics/Quest Diagnostics, Marlborough, Massachusetts
| | | | - Dallas Reed
- Department of Obstetrics and Gynecology, Tufts Medical Center Boston, Boston, Massachusetts
- Department of Pediatrics, The Floating Hospital for Children at Tufts Medical Center, Boston, Massachusetts
| | - Anne Kurfiss
- Department of Pediatrics, The Floating Hospital for Children at Tufts Medical Center, Boston, Massachusetts
| | - Jonathan M. Davis
- Department of Pediatrics, The Floating Hospital for Children at Tufts Medical Center, Boston, Massachusetts
- The Tufts Clinical and Translation Science Institute, Tufts University School of Medicine, Boston, Massachusetts
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Sweeney NM, Nahas SA, Chowdhury S, Batalov S, Clark M, Caylor S, Cakici J, Nigro JJ, Ding Y, Veeraraghavan N, Hobbs C, Dimmock D, Kingsmore SF. Rapid whole genome sequencing impacts care and resource utilization in infants with congenital heart disease. NPJ Genom Med 2021; 6:29. [PMID: 33888711 PMCID: PMC8062477 DOI: 10.1038/s41525-021-00192-x] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 03/19/2021] [Indexed: 11/09/2022] Open
Abstract
Congenital heart disease (CHD) is the most common congenital anomaly and a major cause of infant morbidity and mortality. While morbidity and mortality are highest in infants with underlying genetic conditions, molecular diagnoses are ascertained in only ~20% of cases using widely adopted genetic tests. Furthermore, cost of care for children and adults with CHD has increased dramatically. Rapid whole genome sequencing (rWGS) of newborns in intensive care units with suspected genetic diseases has been associated with increased rate of diagnosis and a net reduction in cost of care. In this study, we explored whether the clinical utility of rWGS extends to critically ill infants with structural CHD through a retrospective review of rWGS study data obtained from inpatient infants < 1 year with structural CHD at a regional children's hospital. rWGS diagnosed genetic disease in 46% of the enrolled infants. Moreover, genetic disease was identified five times more frequently with rWGS than microarray ± gene panel testing in 21 of these infants (rWGS diagnosed 43% versus 10% with microarray ± gene panels, p = 0.02). Molecular diagnoses ranged from syndromes affecting multiple organ systems to disorders limited to the cardiovascular system. The average daily hospital spending was lower in the time period post blood collection for rWGS compared to prior (p = 0.003) and further decreased after rWGS results (p = 0.000). The cost was not prohibitive to rWGS implementation in the care of this cohort of infants. rWGS provided timely actionable information that impacted care and there was evidence of decreased hospital spending around rWGS implementation.
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Affiliation(s)
- Nathaly M Sweeney
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA.
- Rady Children's Hospital, San Diego, CA, USA.
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.
| | - Shareef A Nahas
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | - Shimul Chowdhury
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | - Sergey Batalov
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | - Michelle Clark
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | - Sara Caylor
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | - Julie Cakici
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
| | - John J Nigro
- Rady Children's Hospital, San Diego, CA, USA
- Department of Surgery, University of California San Diego, La Jolla, CA, USA
| | - Yan Ding
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | | | - Charlotte Hobbs
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | - David Dimmock
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
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Sun H, Shen XR, Fang ZB, Jiang ZZ, Wei XJ, Wang ZY, Yu XF. Next-Generation Sequencing Technologies and Neurogenetic Diseases. Life (Basel) 2021; 11:life11040361. [PMID: 33921670 PMCID: PMC8072598 DOI: 10.3390/life11040361] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 04/05/2021] [Accepted: 04/16/2021] [Indexed: 12/18/2022] Open
Abstract
Next-generation sequencing (NGS) technology has led to great advances in understanding the causes of Mendelian and complex neurological diseases. Owing to the complexity of genetic diseases, the genetic factors contributing to many rare and common neurological diseases remain poorly understood. Selecting the correct genetic test based on cost-effectiveness, coverage area, and sequencing range can improve diagnosis, treatments, and prevention. Whole-exome sequencing and whole-genome sequencing are suitable methods for finding new mutations, and gene panels are suitable for exploring the roles of specific genes in neurogenetic diseases. Here, we provide an overview of the classifications, applications, advantages, and limitations of NGS in research on neurological diseases. We further provide examples of NGS-based explorations and insights of the genetic causes of neurogenetic diseases, including Charcot-Marie-Tooth disease, spinocerebellar ataxias, epilepsy, and multiple sclerosis. In addition, we focus on issues related to NGS-based analyses, including interpretations of variants of uncertain significance, de novo mutations, congenital genetic diseases with complex phenotypes, and single-molecule real-time approaches.
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Affiliation(s)
| | | | | | | | | | | | - Xue-Fan Yu
- Correspondence: ; Tel.: +86-157-5430-1836
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43
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Serra G, Memo L, Coscia A, Giuffré M, Iuculano A, Lanna M, Valentini D, Contardi A, Filippeschi S, Frusca T, Mosca F, Ramenghi LA, Romano C, Scopinaro A, Villani A, Zampino G, Corsello G. Recommendations for neonatologists and pediatricians working in first level birthing centers on the first communication of genetic disease and malformation syndrome diagnosis: consensus issued by 6 Italian scientific societies and 4 parents' associations. Ital J Pediatr 2021; 47:94. [PMID: 33874990 PMCID: PMC8054427 DOI: 10.1186/s13052-021-01044-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 04/07/2021] [Indexed: 12/30/2022] Open
Abstract
Background Genetic diseases are chronic conditions with relevant impact on the lives of patients and their families. In USA and Europe it is estimated a prevalence of 60 million affected subjects, 75% of whom are in developmental age. A significant number of newborns are admitted in the Neonatal Intensive Care Units (NICU) for reasons different from prematurity, although the prevalence of those with genetic diseases is unknown. It is, then, common for the neonatologist to start a diagnostic process on suspicion of a genetic disease or malformation syndrome, or to make and communicate these diagnoses. Many surveys showed that the degree of parental satisfaction with the methods of communication of diagnosis is low. Poor communication may have short and long-term negative effects on health and psychological and social development of the child and his family. We draw up recommendations on this issue, shared by 6 Italian Scientific Societies and 4 Parents’ Associations, aimed at making the neonatologist’s task easier at the difficult time of communication to parents of a genetic disease/malformation syndrome diagnosis for their child. Methods We used the method of the consensus paper. A multidisciplinary panel of experts was first established, based on the clinical and scientific sharing of the thematic area of present recommendations. They were suggested by the Boards of the six Scientific Societies that joined the initiative: Italian Societies of Pediatrics, Neonatology, Human Genetics, Perinatal Medicine, Obstetric and Gynecological Ultrasound and Biophysical Methodologies, and Pediatric Genetic Diseases and Congenital Disabilities. To obtain a deeper and global vision of the communication process, and to reach a better clinical management of patients and their families, representatives of four Parents’ Associations were also recruited: Italian Association of Down People, Cornelia de Lange National Volunteer Association, Italian Federation of Rare Diseases, and Williams Syndrome People Association. They worked from September 2019 to November 2020 to achieve a consensus on the recommendations for the communication of a new diagnosis of genetic disease. Results The consensus of experts drafted a final document defining the recommendations, for the neonatologist and/or the pediatrician working in a fist level birthing center, on the first communication of genetic disease or malformation syndrome diagnosis. Although there is no universal communication technique to make the informative process effective, we tried to identify a few relevant strategic principles that the neonatologist/pediatrician may use in the relationship with the family. We also summarized basic principles and significant aspects relating to the modalities of interaction with families in a table, in order to create an easy tool for the neonatologist to be applied in the daily care practice. We finally obtained an intersociety document, now published on the websites of the Scientific Societies involved. Conclusions The neonatologist/pediatrician is often the first to observe complex syndromic pictures, not always identified before birth, although today more frequently prenatally diagnosed. It is necessary for him to know the aspects of genetic diseases related to communication and bioethics, as well as the biological and clinical ones, which together outline the cornerstones of the multidisciplinary care of these patients. This consensus provide practical recommendations on how to make the first communication of a genetic disease /malformation syndrome diagnosis. The proposed goal is to make easier the informative process, and to implement the best practices in the relationship with the family. A better doctor-patient/family interaction may improve health outcomes of the child and his family, as well as reduce legal disputes with parents and the phenomenon of defensive medicine.
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Affiliation(s)
- Gregorio Serra
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, Palermo, Italy.
| | - Luigi Memo
- Clinical Genetics Outpatient Service, Neonatology and Neonatal Intensive Care Unit, San Bortolo Hospital, Vicenza, Italy
| | - Alessandra Coscia
- University Neonatology Unit, AOU Città della Salute e della Scienza, Turin, Italy
| | - Mario Giuffré
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Ambra Iuculano
- Unit of Prenatal and Preimplantation Diagnosis, Thalassaemic Hospital, AO Brotzu, Cagliari, Italy
| | - Mariano Lanna
- Unit of Obstetrics and Gynecology, Prenatal Diagnosis and Fetal Therapy "U. Nicolini", Buzzi Hospital, ASST FBF Sacco, Milan, Italy
| | - Diletta Valentini
- Unit of General Pediatrics, Emergency and Acceptance Department, Bambino Gesù Pediatric Hospital, Rome, Italy
| | - Anna Contardi
- Coordinator of the Italian Association of Down People, Rome, Italy
| | - Sauro Filippeschi
- President of the Italian National Association of Volunteers Cornelia de Lange, Pesaro, Italy
| | - Tiziana Frusca
- President of the Italian Society of Obstetric and Gynecological Ultrasound and Biophysical Methodologies, Parma, Italy
| | - Fabio Mosca
- President of the Italian Society of Neonatology, Milan, Italy
| | - Luca A Ramenghi
- President of the Italian Society of Perinatal Medicine, Genoa, Italy
| | - Corrado Romano
- Coordinator of the Clinical Genetics Study Group of the Italian Society of Human Genetics, Troina, EN, Italy
| | - Annalisa Scopinaro
- President of Italian Federation of Rare Diseases and of Williams Syndrome People Association, Rome, Italy
| | | | - Giuseppe Zampino
- President of the Italian Society of Pediatric Genetic Diseases and Congenital Disabilities, Rome, Italy
| | - Giovanni Corsello
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, Palermo, Italy
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Barp A, Mosca L, Sansone VA. Facilitations and Hurdles of Genetic Testing in Neuromuscular Disorders. Diagnostics (Basel) 2021; 11:diagnostics11040701. [PMID: 33919863 PMCID: PMC8070835 DOI: 10.3390/diagnostics11040701] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/11/2021] [Accepted: 04/12/2021] [Indexed: 12/11/2022] Open
Abstract
Neuromuscular disorders (NMDs) comprise a heterogeneous group of disorders that affect about one in every thousand individuals worldwide. The vast majority of NMDs has a genetic cause, with about 600 genes already identified. Application of genetic testing in NMDs can be useful for several reasons: correct diagnostic definition of a proband, extensive familial counselling to identify subjects at risk, and prenatal diagnosis to prevent the recurrence of the disease; furthermore, identification of specific genetic mutations still remains mandatory in some cases for clinical trial enrollment where new gene therapies are now approaching. Even though genetic analysis is catching on in the neuromuscular field, pitfalls and hurdles still remain and they should be taken into account by clinicians, as for example the use of next generation sequencing (NGS) where many single nucleotide variants of “unknown significance” can emerge, complicating the correct interpretation of genotype-phenotype relationship. Finally, when all efforts in terms of molecular analysis have been carried on, a portion of patients affected by NMDs still remain “not genetically defined”. In the present review we analyze the evolution of genetic techniques, from Sanger sequencing to NGS, and we discuss “facilitations and hurdles” of genetic testing which must always be balanced by clinicians, in order to ensure a correct diagnostic definition, but taking always into account the benefit that the patient could obtain especially in terms of “therapeutic offer”.
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Affiliation(s)
- Andrea Barp
- The NEMO Clinical Center in Milan, Neurorehabilitation Unit, University of Milan, Piazza Ospedale Maggiore 3, 20162 Milano, Italy;
- Correspondence:
| | - Lorena Mosca
- Medical Genetics Unit, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162 Milano, Italy;
| | - Valeria Ada Sansone
- The NEMO Clinical Center in Milan, Neurorehabilitation Unit, University of Milan, Piazza Ospedale Maggiore 3, 20162 Milano, Italy;
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Abstract
Neuromuscular disorders (NMDs) comprise a heterogeneous group of disorders that affect about one in every thousand individuals worldwide. The vast majority of NMDs has a genetic cause, with about 600 genes already identified. Application of genetic testing in NMDs can be useful for several reasons: correct diagnostic definition of a proband, extensive familial counselling to identify subjects at risk, and prenatal diagnosis to prevent the recurrence of the disease; furthermore, identification of specific genetic mutations still remains mandatory in some cases for clinical trial enrollment where new gene therapies are now approaching. Even though genetic analysis is catching on in the neuromuscular field, pitfalls and hurdles still remain and they should be taken into account by clinicians, as for example the use of next generation sequencing (NGS) where many single nucleotide variants of "unknown significance" can emerge, complicating the correct interpretation of genotype-phenotype relationship. Finally, when all efforts in terms of molecular analysis have been carried on, a portion of patients affected by NMDs still remain "not genetically defined". In the present review we analyze the evolution of genetic techniques, from Sanger sequencing to NGS, and we discuss "facilitations and hurdles" of genetic testing which must always be balanced by clinicians, in order to ensure a correct diagnostic definition, but taking always into account the benefit that the patient could obtain especially in terms of "therapeutic offer".
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Affiliation(s)
- Andrea Barp
- The NEMO Clinical Center in Milan, Neurorehabilitation Unit, University of Milan, Piazza Ospedale Maggiore 3, 20162 Milano, Italy
| | - Lorena Mosca
- Medical Genetics Unit, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162 Milano, Italy
| | - Valeria Ada Sansone
- The NEMO Clinical Center in Milan, Neurorehabilitation Unit, University of Milan, Piazza Ospedale Maggiore 3, 20162 Milano, Italy
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46
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Preferences and values for rapid genomic testing in critically ill infants and children: a discrete choice experiment. Eur J Hum Genet 2021; 29:1645-1653. [PMID: 33811253 DOI: 10.1038/s41431-021-00874-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 03/09/2021] [Accepted: 03/16/2021] [Indexed: 12/23/2022] Open
Abstract
Healthcare systems are increasingly considering widespread implementation of rapid genomic testing of critically ill children, but evidence on the value of the benefits generated is lacking. This information is key for an optimal implementation into healthcare systems. A discrete choice experiment survey was designed to elicit preferences and values for rapid genomic testing in critically ill children. The survey was administered to members of the Australian public and families with lived experience of rapid genomic testing. A Bayesian D-efficient explicit partial profiles design was used, and data were analysed using a panel error component mixed logit model. Preference heterogeneity was explored using a latent class model and fractional logistic regressions. The public (n = 522) and families with lived experiences (n = 25) demonstrated strong preferences for higher diagnostic yield and clinical utility, faster result turnaround times, and lower cost. Society on average would be willing to pay an additional AU$9510 (US$6657) for rapid (2 weeks results turnaround time) and AU$11,000 (US$7700) for ultra-rapid genomic testing (2 days turnaround time) relative to standard diagnostic care. Corresponding estimates among those with lived experiences were AU$10,225 (US$7158) and AU$11,500 (US$8050), respectively. Our work provides further evidence that rapid genomic testing for critically ill children with rare conditions generates substantial utility. The findings can be used to inform cost-benefit analyses as part of broader healthcare system implementation.
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47
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Genetic Testing in Neonatal Intensive Care: Experience from a Tertiary Care Unit. Indian J Pediatr 2021; 88:398-399. [PMID: 33403610 DOI: 10.1007/s12098-020-03639-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 12/21/2020] [Indexed: 10/22/2022]
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Abstract
PURPOSE OF REVIEW Perinatal disorders include stillbirth, congenital structural anomalies, and critical illnesses in neonates. The cause of these is often unknown despite a thorough clinical workup. Genetic diseases cause a significant portion of perinatal disorders. The purpose of this review is to describe recent advances in genetic testing of perinatal disorders of unknown cause and to provide a potential diagnostic strategy. RECENT FINDINGS Exome and genome sequencing (ES and GS) have demonstrated that significant portions of perinatal disorders are caused by genetic disease. However, estimates of the exact proportion have varied widely across fetal and neonatal cohorts and most of the genetic diagnoses found in recent studies have been unique to individual cases. Having a specific genetic diagnosis provides significant clinical utility, including improved prognostication of the outcome, tailored therapy, directed testing for associated syndromic manifestations, referral to appropriate subspecialists, family planning, and redirection of care. SUMMARY Perinatal disorders of unknown cause, with nonspecific presentations, are often caused by genetic diseases best diagnosed by ES or GS. Prompt diagnosis facilitates improved clinical care. Improvements in noninvasive sampling, variant interpretation, and population-level research will further enhance the clinical utility of genetic testing. VIDEO ABSTRACT http://links.lww.com/MOP/A61.
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Affiliation(s)
- Thomas Hays
- Division of Neonatology, Department of Pediatrics, Columbia University Irving Medical Center, New York, New York, USA
| | - Ronald J. Wapner
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, New York, USA
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, New York, USA
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49
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Kilby MD. The role of next-generation sequencing in the investigation of ultrasound-identified fetal structural anomalies. BJOG 2021; 128:420-429. [PMID: 32975887 PMCID: PMC8607475 DOI: 10.1111/1471-0528.16533] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/24/2020] [Indexed: 12/14/2022]
Abstract
Fetal structural anomalies have an impact on fetal mortality and morbidity. Next-generation sequencing (NGS) may be incorporated into clinical pathways for investigation of paediatric morbidity but can also be used to delineate the prognosis of fetal anomalies. This paper reviews the role of NGS in the investigation of fetal malformations, the literature defining the clinical utility, the technique most commonly used and potential promise and challenges for implementation into clinical practice. Prospective case selection with informative pre-test counselling by multidisciplinary teams is imperative. Regulated laboratory sequencing, bioinformatic pathways with potential variant identification and conservative matching with the phenotype is important. TWEETABLE ABSTRACT: Prenatal exome sequencing in fetal structural anomalies yields diagnostic information in up to 20% of cases.
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Affiliation(s)
- M D Kilby
- Fetal Medicine Centre, Birmingham Women's and Children's Foundation Trust, Birmingham, UK.,Institute of Metabolism and Systems Research, College of Medical & Dental Sciences, University of Birmingham, Birmingham, UK
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Sudden Infant Death Syndrome: Beyond Risk Factors. Life (Basel) 2021; 11:life11030184. [PMID: 33652660 PMCID: PMC7996806 DOI: 10.3390/life11030184] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 02/19/2021] [Accepted: 02/22/2021] [Indexed: 12/12/2022] Open
Abstract
Sudden infant death syndrome (SIDS) is defined as "the sudden death of an infant under 1 year of age which remains unexplained after thorough investigation including a complete autopsy, death scene investigation, and detailed clinical and pathological review". A significant decrease of SIDS deaths occurred in the last decades in most countries after the beginning of national campaigns, mainly as a consequence of the implementation of risk reduction action mostly concentrating on the improvement of sleep conditions. Nevertheless, infant mortality from SIDS still remains unacceptably high. There is an urgent need to get insight into previously unexplored aspects of the brain system with a special focus on high-risk groups. SIDS pathogenesis is associated with a multifactorial condition that comprehends genetic, environmental and sociocultural factors. Effective prevention of SIDS requires multiple interventions from different fields. Developing brain susceptibility, intrinsic vulnerability and early identification of infants with high risk of SIDS represents a challenge. Progress in SIDS research appears to be fundamental to the ultimate aim of eradicating SIDS deaths. A complex model that combines different risk factor data from biomarkers and omic analysis may represent a tool to identify a SIDS risk profile in newborn settings. If high risk is detected, the infant may be referred for further investigations and follow ups. This review aims to illustrate the most recent discoveries from different fields, analyzing the neuroanatomical, genetic, metabolic, proteomic, environmental and sociocultural aspects related to SIDS.
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