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Improving diagnosis and broadening the phenotypes in early-onset seizure and severe developmental delay disorders through gene panel analysis
BACKGROUND: We sought to investigate the diagnostic yield and mutation spectrum in previously reported genes for early-onset epilepsy and disorders of severe developmental delay. METHODS: In 400 patients with these disorders with no known underlying aetiology and no major structural brain anomaly, w...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4862068/ https://www.ncbi.nlm.nih.gov/pubmed/26993267 http://dx.doi.org/10.1136/jmedgenet-2015-103263 |
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author | Trump, Natalie McTague, Amy Brittain, Helen Papandreou, Apostolos Meyer, Esther Ngoh, Adeline Palmer, Rodger Morrogh, Deborah Boustred, Christopher Hurst, Jane A Jenkins, Lucy Kurian, Manju A Scott, Richard H |
author_facet | Trump, Natalie McTague, Amy Brittain, Helen Papandreou, Apostolos Meyer, Esther Ngoh, Adeline Palmer, Rodger Morrogh, Deborah Boustred, Christopher Hurst, Jane A Jenkins, Lucy Kurian, Manju A Scott, Richard H |
author_sort | Trump, Natalie |
collection | PubMed |
description | BACKGROUND: We sought to investigate the diagnostic yield and mutation spectrum in previously reported genes for early-onset epilepsy and disorders of severe developmental delay. METHODS: In 400 patients with these disorders with no known underlying aetiology and no major structural brain anomaly, we analysed 46 genes using a combination of targeted sequencing on an Illumina MiSeq platform and targeted, exon-level microarray copy number analysis. RESULTS: We identified causative mutations in 71/400 patients (18%). The diagnostic rate was highest among those with seizure onset within the first two months of life (39%), although overall it was similar in those with and without seizures. The most frequently mutated gene was SCN2A (11 patients, 3%). Other recurrently mutated genes included CDKL5, KCNQ2, SCN8A (six patients each), FOXG1, MECP2, SCN1A, STXBP1 (five patients each), KCNT1, PCDH19, TCF4 (three patients each) and ATP1A3, PRRT2 and SLC9A6 (two patients each). Mutations in EHMT1, GABRB3, LGI1, MBD5, PIGA, UBE3A and ZEB2 were each found in single patients. We found mutations in a number of genes in patients where either the electroclinical features or dysmorphic phenotypes were atypical for the identified gene. In only 11 cases (15%) had the clinician sufficient certainty to specify the mutated gene as the likely cause before testing. CONCLUSIONS: Our data demonstrate the considerable utility of a gene panel approach in the diagnosis of patients with early-onset epilepsy and severe developmental delay disorders., They provide further insights into the phenotypic spectrum and genotype–phenotype correlations for a number of the causative genes and emphasise the value of exon-level copy number testing in their analysis. |
format | Online Article Text |
id | pubmed-4862068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48620682016-05-12 Improving diagnosis and broadening the phenotypes in early-onset seizure and severe developmental delay disorders through gene panel analysis Trump, Natalie McTague, Amy Brittain, Helen Papandreou, Apostolos Meyer, Esther Ngoh, Adeline Palmer, Rodger Morrogh, Deborah Boustred, Christopher Hurst, Jane A Jenkins, Lucy Kurian, Manju A Scott, Richard H J Med Genet Genotype-Phenotype Correlations BACKGROUND: We sought to investigate the diagnostic yield and mutation spectrum in previously reported genes for early-onset epilepsy and disorders of severe developmental delay. METHODS: In 400 patients with these disorders with no known underlying aetiology and no major structural brain anomaly, we analysed 46 genes using a combination of targeted sequencing on an Illumina MiSeq platform and targeted, exon-level microarray copy number analysis. RESULTS: We identified causative mutations in 71/400 patients (18%). The diagnostic rate was highest among those with seizure onset within the first two months of life (39%), although overall it was similar in those with and without seizures. The most frequently mutated gene was SCN2A (11 patients, 3%). Other recurrently mutated genes included CDKL5, KCNQ2, SCN8A (six patients each), FOXG1, MECP2, SCN1A, STXBP1 (five patients each), KCNT1, PCDH19, TCF4 (three patients each) and ATP1A3, PRRT2 and SLC9A6 (two patients each). Mutations in EHMT1, GABRB3, LGI1, MBD5, PIGA, UBE3A and ZEB2 were each found in single patients. We found mutations in a number of genes in patients where either the electroclinical features or dysmorphic phenotypes were atypical for the identified gene. In only 11 cases (15%) had the clinician sufficient certainty to specify the mutated gene as the likely cause before testing. CONCLUSIONS: Our data demonstrate the considerable utility of a gene panel approach in the diagnosis of patients with early-onset epilepsy and severe developmental delay disorders., They provide further insights into the phenotypic spectrum and genotype–phenotype correlations for a number of the causative genes and emphasise the value of exon-level copy number testing in their analysis. BMJ Publishing Group 2016-05 2016-03-18 /pmc/articles/PMC4862068/ /pubmed/26993267 http://dx.doi.org/10.1136/jmedgenet-2015-103263 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Genotype-Phenotype Correlations Trump, Natalie McTague, Amy Brittain, Helen Papandreou, Apostolos Meyer, Esther Ngoh, Adeline Palmer, Rodger Morrogh, Deborah Boustred, Christopher Hurst, Jane A Jenkins, Lucy Kurian, Manju A Scott, Richard H Improving diagnosis and broadening the phenotypes in early-onset seizure and severe developmental delay disorders through gene panel analysis |
title | Improving diagnosis and broadening the phenotypes in early-onset seizure and severe developmental delay disorders through gene panel analysis |
title_full | Improving diagnosis and broadening the phenotypes in early-onset seizure and severe developmental delay disorders through gene panel analysis |
title_fullStr | Improving diagnosis and broadening the phenotypes in early-onset seizure and severe developmental delay disorders through gene panel analysis |
title_full_unstemmed | Improving diagnosis and broadening the phenotypes in early-onset seizure and severe developmental delay disorders through gene panel analysis |
title_short | Improving diagnosis and broadening the phenotypes in early-onset seizure and severe developmental delay disorders through gene panel analysis |
title_sort | improving diagnosis and broadening the phenotypes in early-onset seizure and severe developmental delay disorders through gene panel analysis |
topic | Genotype-Phenotype Correlations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4862068/ https://www.ncbi.nlm.nih.gov/pubmed/26993267 http://dx.doi.org/10.1136/jmedgenet-2015-103263 |
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