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Genome Sequencing as a Diagnostic Test in Children With Unexplained Medical Complexity
IMPORTANCE: Children with medical complexity (CMC) represent a growing population in the pediatric health care system, with high resource use and associated health care costs. A genetic diagnosis can inform prognosis, anticipatory care, management, and reproductive planning. Conventional genetic tes...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509619/ https://www.ncbi.nlm.nih.gov/pubmed/32960281 http://dx.doi.org/10.1001/jamanetworkopen.2020.18109 |
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author | Costain, Gregory Walker, Susan Marano, Maria Veenma, Danielle Snell, Meaghan Curtis, Meredith Luca, Stephanie Buera, Jason Arje, Danielle Reuter, Miriam S. Thiruvahindrapuram, Bhooma Trost, Brett Sung, Wilson W. L. Yuen, Ryan K. C. Chitayat, David Mendoza-Londono, Roberto Stavropoulos, D. James Scherer, Stephen W. Marshall, Christian R. Cohn, Ronald D. Cohen, Eyal Orkin, Julia Meyn, M. Stephen Hayeems, Robin Z. |
author_facet | Costain, Gregory Walker, Susan Marano, Maria Veenma, Danielle Snell, Meaghan Curtis, Meredith Luca, Stephanie Buera, Jason Arje, Danielle Reuter, Miriam S. Thiruvahindrapuram, Bhooma Trost, Brett Sung, Wilson W. L. Yuen, Ryan K. C. Chitayat, David Mendoza-Londono, Roberto Stavropoulos, D. James Scherer, Stephen W. Marshall, Christian R. Cohn, Ronald D. Cohen, Eyal Orkin, Julia Meyn, M. Stephen Hayeems, Robin Z. |
author_sort | Costain, Gregory |
collection | PubMed |
description | IMPORTANCE: Children with medical complexity (CMC) represent a growing population in the pediatric health care system, with high resource use and associated health care costs. A genetic diagnosis can inform prognosis, anticipatory care, management, and reproductive planning. Conventional genetic testing strategies for CMC are often costly, time consuming, and ultimately unsuccessful. OBJECTIVE: To evaluate the analytical and clinical validity of genome sequencing as a comprehensive diagnostic genetic test for CMC. DESIGN, SETTING, AND PARTICIPANTS: In this cohort study of the prospective use of genome sequencing and comparison with standard-of-care genetic testing, CMC were recruited from May 1, 2017, to November 30, 2018, from a structured complex care program based at a tertiary care pediatric hospital in Toronto, Canada. Recruited CMC had at least 1 chronic condition, technology dependence (child is dependent at least part of each day on mechanical ventilators, and/or child requires prolonged intravenous administration of nutritional substances or drugs, and/or child is expected to have prolonged dependence on other device-based support), multiple subspecialist involvement, and substantial health care use. Review of the care plans for 545 CMC identified 143 suspected of having an undiagnosed genetic condition. Fifty-four families met inclusion criteria and were interested in participating, and 49 completed the study. Probands, similarly affected siblings, and biological parents were eligible for genome sequencing. EXPOSURES: Genome sequencing was performed using blood-derived DNA from probands and family members using established methods and a bioinformatics pipeline for clinical genome annotation. MAIN OUTCOMES AND MEASURES: The primary study outcome was the diagnostic yield of genome sequencing (proportion of CMC for whom the test result yielded a new diagnosis). RESULTS: Genome sequencing was performed for 138 individuals from 49 families of CMC (29 male and 20 female probands; mean [SD] age, 7.0 [4.5] years). Genome sequencing detected all genomic variation previously identified by conventional genetic testing. A total of 15 probands (30.6%; 95% CI 19.5%-44.6%) received a new primary molecular genetic diagnosis after genome sequencing. Three individuals had novel diseases and an additional 9 had either ultrarare genetic conditions or rare genetic conditions with atypical features. At least 11 families received diagnostic information that had clinical management implications beyond genetic and reproductive counseling. CONCLUSIONS AND RELEVANCE: This study suggests that genome sequencing has high analytical and clinical validity and can result in new diagnoses in CMC even in the setting of extensive prior investigations. This clinical population may be enriched for ultrarare and novel genetic disorders. Genome sequencing is a potentially first-tier genetic test for CMC. |
format | Online Article Text |
id | pubmed-7509619 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-75096192020-09-25 Genome Sequencing as a Diagnostic Test in Children With Unexplained Medical Complexity Costain, Gregory Walker, Susan Marano, Maria Veenma, Danielle Snell, Meaghan Curtis, Meredith Luca, Stephanie Buera, Jason Arje, Danielle Reuter, Miriam S. Thiruvahindrapuram, Bhooma Trost, Brett Sung, Wilson W. L. Yuen, Ryan K. C. Chitayat, David Mendoza-Londono, Roberto Stavropoulos, D. James Scherer, Stephen W. Marshall, Christian R. Cohn, Ronald D. Cohen, Eyal Orkin, Julia Meyn, M. Stephen Hayeems, Robin Z. JAMA Netw Open Original Investigation IMPORTANCE: Children with medical complexity (CMC) represent a growing population in the pediatric health care system, with high resource use and associated health care costs. A genetic diagnosis can inform prognosis, anticipatory care, management, and reproductive planning. Conventional genetic testing strategies for CMC are often costly, time consuming, and ultimately unsuccessful. OBJECTIVE: To evaluate the analytical and clinical validity of genome sequencing as a comprehensive diagnostic genetic test for CMC. DESIGN, SETTING, AND PARTICIPANTS: In this cohort study of the prospective use of genome sequencing and comparison with standard-of-care genetic testing, CMC were recruited from May 1, 2017, to November 30, 2018, from a structured complex care program based at a tertiary care pediatric hospital in Toronto, Canada. Recruited CMC had at least 1 chronic condition, technology dependence (child is dependent at least part of each day on mechanical ventilators, and/or child requires prolonged intravenous administration of nutritional substances or drugs, and/or child is expected to have prolonged dependence on other device-based support), multiple subspecialist involvement, and substantial health care use. Review of the care plans for 545 CMC identified 143 suspected of having an undiagnosed genetic condition. Fifty-four families met inclusion criteria and were interested in participating, and 49 completed the study. Probands, similarly affected siblings, and biological parents were eligible for genome sequencing. EXPOSURES: Genome sequencing was performed using blood-derived DNA from probands and family members using established methods and a bioinformatics pipeline for clinical genome annotation. MAIN OUTCOMES AND MEASURES: The primary study outcome was the diagnostic yield of genome sequencing (proportion of CMC for whom the test result yielded a new diagnosis). RESULTS: Genome sequencing was performed for 138 individuals from 49 families of CMC (29 male and 20 female probands; mean [SD] age, 7.0 [4.5] years). Genome sequencing detected all genomic variation previously identified by conventional genetic testing. A total of 15 probands (30.6%; 95% CI 19.5%-44.6%) received a new primary molecular genetic diagnosis after genome sequencing. Three individuals had novel diseases and an additional 9 had either ultrarare genetic conditions or rare genetic conditions with atypical features. At least 11 families received diagnostic information that had clinical management implications beyond genetic and reproductive counseling. CONCLUSIONS AND RELEVANCE: This study suggests that genome sequencing has high analytical and clinical validity and can result in new diagnoses in CMC even in the setting of extensive prior investigations. This clinical population may be enriched for ultrarare and novel genetic disorders. Genome sequencing is a potentially first-tier genetic test for CMC. American Medical Association 2020-09-22 /pmc/articles/PMC7509619/ /pubmed/32960281 http://dx.doi.org/10.1001/jamanetworkopen.2020.18109 Text en Copyright 2020 Costain G et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Costain, Gregory Walker, Susan Marano, Maria Veenma, Danielle Snell, Meaghan Curtis, Meredith Luca, Stephanie Buera, Jason Arje, Danielle Reuter, Miriam S. Thiruvahindrapuram, Bhooma Trost, Brett Sung, Wilson W. L. Yuen, Ryan K. C. Chitayat, David Mendoza-Londono, Roberto Stavropoulos, D. James Scherer, Stephen W. Marshall, Christian R. Cohn, Ronald D. Cohen, Eyal Orkin, Julia Meyn, M. Stephen Hayeems, Robin Z. Genome Sequencing as a Diagnostic Test in Children With Unexplained Medical Complexity |
title | Genome Sequencing as a Diagnostic Test in Children With Unexplained Medical Complexity |
title_full | Genome Sequencing as a Diagnostic Test in Children With Unexplained Medical Complexity |
title_fullStr | Genome Sequencing as a Diagnostic Test in Children With Unexplained Medical Complexity |
title_full_unstemmed | Genome Sequencing as a Diagnostic Test in Children With Unexplained Medical Complexity |
title_short | Genome Sequencing as a Diagnostic Test in Children With Unexplained Medical Complexity |
title_sort | genome sequencing as a diagnostic test in children with unexplained medical complexity |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509619/ https://www.ncbi.nlm.nih.gov/pubmed/32960281 http://dx.doi.org/10.1001/jamanetworkopen.2020.18109 |
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