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Utility of Exome Sequencing for Diagnosis in Unexplained Pediatric-Onset Epilepsy
IMPORTANCE: Genomic advances inform our understanding of epilepsy and can be translated to patients as precision diagnoses that influence clinical treatment, prognosis, and counseling. OBJECTIVE: To delineate the genetic landscape of pediatric epilepsy and clinical utility of genetic diagnoses for p...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359957/ https://www.ncbi.nlm.nih.gov/pubmed/37471090 http://dx.doi.org/10.1001/jamanetworkopen.2023.24380 |
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author | Koh, Hyun Yong Smith, Lacey Wiltrout, Kimberly N. Podury, Archana Chourasia, Nitish D’Gama, Alissa M. Park, Meredith Knight, Devon Sexton, Emma L. Koh, Julia J. Oby, Brandon Pinsky, Rebecca Shao, Diane D. French, Courtney E. Shao, Wanqing Rockowitz, Shira Sliz, Piotr Zhang, Bo Mahida, Sonal Moufawad El Achkar, Christelle Yuskaitis, Christopher J. Olson, Heather E. Sheidley, Beth Rosen Poduri, Annapurna H. |
author_facet | Koh, Hyun Yong Smith, Lacey Wiltrout, Kimberly N. Podury, Archana Chourasia, Nitish D’Gama, Alissa M. Park, Meredith Knight, Devon Sexton, Emma L. Koh, Julia J. Oby, Brandon Pinsky, Rebecca Shao, Diane D. French, Courtney E. Shao, Wanqing Rockowitz, Shira Sliz, Piotr Zhang, Bo Mahida, Sonal Moufawad El Achkar, Christelle Yuskaitis, Christopher J. Olson, Heather E. Sheidley, Beth Rosen Poduri, Annapurna H. |
author_sort | Koh, Hyun Yong |
collection | PubMed |
description | IMPORTANCE: Genomic advances inform our understanding of epilepsy and can be translated to patients as precision diagnoses that influence clinical treatment, prognosis, and counseling. OBJECTIVE: To delineate the genetic landscape of pediatric epilepsy and clinical utility of genetic diagnoses for patients with epilepsy. DESIGN, SETTING, AND PARTICIPANTS: This cohort study used phenotypic data from medical records and treating clinicians at a pediatric hospital to identify patients with unexplained pediatric-onset epilepsy. Exome sequencing was performed for 522 patients and available biological parents, and sequencing data were analyzed for single nucleotide variants (SNVs) and copy number variants (CNVs). Variant pathogenicity was assessed, patients were provided with their diagnostic results, and clinical utility was evaluated. Patients were enrolled from August 2018 to October 2021, and data were analyzed through December 2022. EXPOSURES: Phenotypic features associated with diagnostic genetic results. MAIN OUTCOMES AND MEASURES: Main outcomes included diagnostic yield and clinical utility. Diagnostic findings included variants curated as pathogenic, likely pathogenic (PLP), or diagnostic variants of uncertain significance (VUS) with clinical features consistent with the involved gene’s associated phenotype. The proportion of the cohort with diagnostic findings, the genes involved, and their clinical utility, defined as impact on clinical treatment, prognosis, or surveillance, are reported. RESULTS: A total of 522 children (269 [51.5%] male; mean [SD] age at seizure onset, 1.2 [1.4] years) were enrolled, including 142 children (27%) with developmental epileptic encephalopathy and 263 children (50.4%) with intellectual disability. Of these, 100 participants (19.2%) had identifiable genetic explanations for their seizures: 89 participants had SNVs (87 germline, 2 somatic mosaic) involving 69 genes, and 11 participants had CNVs. The likelihood of identifying a genetic diagnosis was highest in patients with intellectual disability (adjusted odds ratio [aOR], 2.44; 95% CI, 1.40-4.26), early onset seizures (aOR, 0.93; 95% CI, 0.88-0.98), and motor impairment (aOR, 2.19; 95% CI 1.34-3.58). Among 43 patients with apparently de novo variants, 2 were subsequently determined to have asymptomatic parents harboring mosaic variants. Of 71 patients who received diagnostic results and were followed clinically, 29 (41%) had documented clinical utility resulting from their genetic diagnoses. CONCLUSIONS AND RELEVANCE: These findings suggest that pediatric-onset epilepsy is genetically heterogeneous and that some patients with previously unexplained pediatric-onset epilepsy had genetic diagnoses with direct clinical implications. |
format | Online Article Text |
id | pubmed-10359957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-103599572023-07-22 Utility of Exome Sequencing for Diagnosis in Unexplained Pediatric-Onset Epilepsy Koh, Hyun Yong Smith, Lacey Wiltrout, Kimberly N. Podury, Archana Chourasia, Nitish D’Gama, Alissa M. Park, Meredith Knight, Devon Sexton, Emma L. Koh, Julia J. Oby, Brandon Pinsky, Rebecca Shao, Diane D. French, Courtney E. Shao, Wanqing Rockowitz, Shira Sliz, Piotr Zhang, Bo Mahida, Sonal Moufawad El Achkar, Christelle Yuskaitis, Christopher J. Olson, Heather E. Sheidley, Beth Rosen Poduri, Annapurna H. JAMA Netw Open Original Investigation IMPORTANCE: Genomic advances inform our understanding of epilepsy and can be translated to patients as precision diagnoses that influence clinical treatment, prognosis, and counseling. OBJECTIVE: To delineate the genetic landscape of pediatric epilepsy and clinical utility of genetic diagnoses for patients with epilepsy. DESIGN, SETTING, AND PARTICIPANTS: This cohort study used phenotypic data from medical records and treating clinicians at a pediatric hospital to identify patients with unexplained pediatric-onset epilepsy. Exome sequencing was performed for 522 patients and available biological parents, and sequencing data were analyzed for single nucleotide variants (SNVs) and copy number variants (CNVs). Variant pathogenicity was assessed, patients were provided with their diagnostic results, and clinical utility was evaluated. Patients were enrolled from August 2018 to October 2021, and data were analyzed through December 2022. EXPOSURES: Phenotypic features associated with diagnostic genetic results. MAIN OUTCOMES AND MEASURES: Main outcomes included diagnostic yield and clinical utility. Diagnostic findings included variants curated as pathogenic, likely pathogenic (PLP), or diagnostic variants of uncertain significance (VUS) with clinical features consistent with the involved gene’s associated phenotype. The proportion of the cohort with diagnostic findings, the genes involved, and their clinical utility, defined as impact on clinical treatment, prognosis, or surveillance, are reported. RESULTS: A total of 522 children (269 [51.5%] male; mean [SD] age at seizure onset, 1.2 [1.4] years) were enrolled, including 142 children (27%) with developmental epileptic encephalopathy and 263 children (50.4%) with intellectual disability. Of these, 100 participants (19.2%) had identifiable genetic explanations for their seizures: 89 participants had SNVs (87 germline, 2 somatic mosaic) involving 69 genes, and 11 participants had CNVs. The likelihood of identifying a genetic diagnosis was highest in patients with intellectual disability (adjusted odds ratio [aOR], 2.44; 95% CI, 1.40-4.26), early onset seizures (aOR, 0.93; 95% CI, 0.88-0.98), and motor impairment (aOR, 2.19; 95% CI 1.34-3.58). Among 43 patients with apparently de novo variants, 2 were subsequently determined to have asymptomatic parents harboring mosaic variants. Of 71 patients who received diagnostic results and were followed clinically, 29 (41%) had documented clinical utility resulting from their genetic diagnoses. CONCLUSIONS AND RELEVANCE: These findings suggest that pediatric-onset epilepsy is genetically heterogeneous and that some patients with previously unexplained pediatric-onset epilepsy had genetic diagnoses with direct clinical implications. American Medical Association 2023-07-20 /pmc/articles/PMC10359957/ /pubmed/37471090 http://dx.doi.org/10.1001/jamanetworkopen.2023.24380 Text en Copyright 2023 Koh HY et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Koh, Hyun Yong Smith, Lacey Wiltrout, Kimberly N. Podury, Archana Chourasia, Nitish D’Gama, Alissa M. Park, Meredith Knight, Devon Sexton, Emma L. Koh, Julia J. Oby, Brandon Pinsky, Rebecca Shao, Diane D. French, Courtney E. Shao, Wanqing Rockowitz, Shira Sliz, Piotr Zhang, Bo Mahida, Sonal Moufawad El Achkar, Christelle Yuskaitis, Christopher J. Olson, Heather E. Sheidley, Beth Rosen Poduri, Annapurna H. Utility of Exome Sequencing for Diagnosis in Unexplained Pediatric-Onset Epilepsy |
title | Utility of Exome Sequencing for Diagnosis in Unexplained Pediatric-Onset Epilepsy |
title_full | Utility of Exome Sequencing for Diagnosis in Unexplained Pediatric-Onset Epilepsy |
title_fullStr | Utility of Exome Sequencing for Diagnosis in Unexplained Pediatric-Onset Epilepsy |
title_full_unstemmed | Utility of Exome Sequencing for Diagnosis in Unexplained Pediatric-Onset Epilepsy |
title_short | Utility of Exome Sequencing for Diagnosis in Unexplained Pediatric-Onset Epilepsy |
title_sort | utility of exome sequencing for diagnosis in unexplained pediatric-onset epilepsy |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359957/ https://www.ncbi.nlm.nih.gov/pubmed/37471090 http://dx.doi.org/10.1001/jamanetworkopen.2023.24380 |
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