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Determining the best candidates for next‐generation sequencing‐based gene panel for evaluation of early‐onset epilepsy
BACKGROUND: Genetic testing is an emerging diagnostic approach in early‐onset epilepsy. Identification of the heterogeneous genetic causes of epilepsy may mitigate unnecessary evaluations and allow more accurate diagnosis and therapy. We aimed to uncover genetic causes of early‐onset epilepsy using...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507365/ https://www.ncbi.nlm.nih.gov/pubmed/32613771 http://dx.doi.org/10.1002/mgg3.1376 |
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author | Lee, Jiwon Lee, Chung Ki, Chang‐Seok Lee, Jeehun |
author_facet | Lee, Jiwon Lee, Chung Ki, Chang‐Seok Lee, Jeehun |
author_sort | Lee, Jiwon |
collection | PubMed |
description | BACKGROUND: Genetic testing is an emerging diagnostic approach in early‐onset epilepsy. Identification of the heterogeneous genetic causes of epilepsy may mitigate unnecessary evaluations and allow more accurate diagnosis and therapy. We aimed to uncover genetic causes of early‐onset epilepsy using next‐generation sequencing (NGS) to elucidate the diagnostic candidates and evaluate the diagnostic yield of targeted gene panel testing. METHODS: We evaluated 116 patients with early‐onset epilepsy developed before 2 years old and normal brain imaging using a NGS‐based targeted gene panel. Variants were classified according to their pathogenicity, and the diagnostic yield of the targeted genes and associated clinical factors were determined. RESULTS: We detected 40 disease‐causing variants with diagnostic yield of 34.5% (19 pathogenic, 21 likely pathogenic). Twelve variants were novel. The most commonly detected genes were SCN1A, associated with Dravet syndrome, and PRRT2, associated with benign familial infantile epilepsy. Other variants were identified in ARX, SCN2A, KCNQ2, PCDH19, STXBP1, DEPDC5, and SCN8A. The age of seizure onset and family history were associated with disease‐causing variants. CONCLUSION: Next‐generation sequencing‐based targeted testing is an effective diagnostic test, with 30%–40% comparable diagnostic yield. Patients with earlier seizure onset and family history of epilepsy were the best candidates for testing. For pediatric patients with early‐onset epilepsy, genetic diagnosis is important for accurate prognosis and treatment. |
format | Online Article Text |
id | pubmed-7507365 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75073652020-09-28 Determining the best candidates for next‐generation sequencing‐based gene panel for evaluation of early‐onset epilepsy Lee, Jiwon Lee, Chung Ki, Chang‐Seok Lee, Jeehun Mol Genet Genomic Med Original Articles BACKGROUND: Genetic testing is an emerging diagnostic approach in early‐onset epilepsy. Identification of the heterogeneous genetic causes of epilepsy may mitigate unnecessary evaluations and allow more accurate diagnosis and therapy. We aimed to uncover genetic causes of early‐onset epilepsy using next‐generation sequencing (NGS) to elucidate the diagnostic candidates and evaluate the diagnostic yield of targeted gene panel testing. METHODS: We evaluated 116 patients with early‐onset epilepsy developed before 2 years old and normal brain imaging using a NGS‐based targeted gene panel. Variants were classified according to their pathogenicity, and the diagnostic yield of the targeted genes and associated clinical factors were determined. RESULTS: We detected 40 disease‐causing variants with diagnostic yield of 34.5% (19 pathogenic, 21 likely pathogenic). Twelve variants were novel. The most commonly detected genes were SCN1A, associated with Dravet syndrome, and PRRT2, associated with benign familial infantile epilepsy. Other variants were identified in ARX, SCN2A, KCNQ2, PCDH19, STXBP1, DEPDC5, and SCN8A. The age of seizure onset and family history were associated with disease‐causing variants. CONCLUSION: Next‐generation sequencing‐based targeted testing is an effective diagnostic test, with 30%–40% comparable diagnostic yield. Patients with earlier seizure onset and family history of epilepsy were the best candidates for testing. For pediatric patients with early‐onset epilepsy, genetic diagnosis is important for accurate prognosis and treatment. John Wiley and Sons Inc. 2020-07-01 /pmc/articles/PMC7507365/ /pubmed/32613771 http://dx.doi.org/10.1002/mgg3.1376 Text en © 2020 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Lee, Jiwon Lee, Chung Ki, Chang‐Seok Lee, Jeehun Determining the best candidates for next‐generation sequencing‐based gene panel for evaluation of early‐onset epilepsy |
title | Determining the best candidates for next‐generation sequencing‐based gene panel for evaluation of early‐onset epilepsy |
title_full | Determining the best candidates for next‐generation sequencing‐based gene panel for evaluation of early‐onset epilepsy |
title_fullStr | Determining the best candidates for next‐generation sequencing‐based gene panel for evaluation of early‐onset epilepsy |
title_full_unstemmed | Determining the best candidates for next‐generation sequencing‐based gene panel for evaluation of early‐onset epilepsy |
title_short | Determining the best candidates for next‐generation sequencing‐based gene panel for evaluation of early‐onset epilepsy |
title_sort | determining the best candidates for next‐generation sequencing‐based gene panel for evaluation of early‐onset epilepsy |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507365/ https://www.ncbi.nlm.nih.gov/pubmed/32613771 http://dx.doi.org/10.1002/mgg3.1376 |
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