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Investigating diagnostic sequencing techniques for CADASIL diagnosis
Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a cerebral small vessel disease caused by mutations in the NOTCH3 gene. Our laboratory has been undertaking genetic diagnostic testing for CADASIL since 1997. Work originally utilised Sanger seque...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950909/ https://www.ncbi.nlm.nih.gov/pubmed/31915071 http://dx.doi.org/10.1186/s40246-019-0255-x |
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author | Dunn, P. J. Maksemous, N. Smith, R. A. Sutherland, H. G. Haupt, L. M. Griffiths, L. R. |
author_facet | Dunn, P. J. Maksemous, N. Smith, R. A. Sutherland, H. G. Haupt, L. M. Griffiths, L. R. |
author_sort | Dunn, P. J. |
collection | PubMed |
description | Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a cerebral small vessel disease caused by mutations in the NOTCH3 gene. Our laboratory has been undertaking genetic diagnostic testing for CADASIL since 1997. Work originally utilised Sanger sequencing methods targeting specific NOTCH3 exons. More recently, next-generation sequencing (NGS)-based technologies such as a targeted gene panel and whole exome sequencing (WES) have been used for improved genetic diagnostic testing. In this study, data from 680 patient samples was analysed for 764 tests utilising 3 different sequencing technologies. Sanger sequencing was performed for 407 tests, a targeted NGS gene panel which includes NOTCH3 exonic regions accounted for 354 tests, and WES with targeted analysis was performed for 3 tests. In total, 14.7% of patient samples (n = 100/680) were determined to have a mutation. Testing efficacy varied by method, with 10.8% (n = 44/407) of tests using Sanger sequencing able to identify mutations, with 15.8% (n = 56/354) of tests performed using the NGS custom panel successfully identifying mutations and a likely non-NOTCH3 pathogenic variant (n = 1/3) identified through WES. Further analysis was then performed through stratification of the number of mutations detected at our facility based on the number of exons, level of pathogenicity and the classification of mutations as known or novel. A systematic review of NOTCH3 mutation testing data from 1997 to 2017 determined the diagnostic rate of pathogenic findings and found the NGS-customised panel increases our ability to identify disease-causing mutations in NOTCH3. |
format | Online Article Text |
id | pubmed-6950909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69509092020-01-09 Investigating diagnostic sequencing techniques for CADASIL diagnosis Dunn, P. J. Maksemous, N. Smith, R. A. Sutherland, H. G. Haupt, L. M. Griffiths, L. R. Hum Genomics Primary Research Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a cerebral small vessel disease caused by mutations in the NOTCH3 gene. Our laboratory has been undertaking genetic diagnostic testing for CADASIL since 1997. Work originally utilised Sanger sequencing methods targeting specific NOTCH3 exons. More recently, next-generation sequencing (NGS)-based technologies such as a targeted gene panel and whole exome sequencing (WES) have been used for improved genetic diagnostic testing. In this study, data from 680 patient samples was analysed for 764 tests utilising 3 different sequencing technologies. Sanger sequencing was performed for 407 tests, a targeted NGS gene panel which includes NOTCH3 exonic regions accounted for 354 tests, and WES with targeted analysis was performed for 3 tests. In total, 14.7% of patient samples (n = 100/680) were determined to have a mutation. Testing efficacy varied by method, with 10.8% (n = 44/407) of tests using Sanger sequencing able to identify mutations, with 15.8% (n = 56/354) of tests performed using the NGS custom panel successfully identifying mutations and a likely non-NOTCH3 pathogenic variant (n = 1/3) identified through WES. Further analysis was then performed through stratification of the number of mutations detected at our facility based on the number of exons, level of pathogenicity and the classification of mutations as known or novel. A systematic review of NOTCH3 mutation testing data from 1997 to 2017 determined the diagnostic rate of pathogenic findings and found the NGS-customised panel increases our ability to identify disease-causing mutations in NOTCH3. BioMed Central 2020-01-08 /pmc/articles/PMC6950909/ /pubmed/31915071 http://dx.doi.org/10.1186/s40246-019-0255-x Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Primary Research Dunn, P. J. Maksemous, N. Smith, R. A. Sutherland, H. G. Haupt, L. M. Griffiths, L. R. Investigating diagnostic sequencing techniques for CADASIL diagnosis |
title | Investigating diagnostic sequencing techniques for CADASIL diagnosis |
title_full | Investigating diagnostic sequencing techniques for CADASIL diagnosis |
title_fullStr | Investigating diagnostic sequencing techniques for CADASIL diagnosis |
title_full_unstemmed | Investigating diagnostic sequencing techniques for CADASIL diagnosis |
title_short | Investigating diagnostic sequencing techniques for CADASIL diagnosis |
title_sort | investigating diagnostic sequencing techniques for cadasil diagnosis |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950909/ https://www.ncbi.nlm.nih.gov/pubmed/31915071 http://dx.doi.org/10.1186/s40246-019-0255-x |
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