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Technical feasibility of newborn screening for spinal muscular atrophy by next-generation DNA sequencing
Newborn screening (NBS) assays for spinal muscular atrophy (SMA) typically use a polymerase chain reaction (PCR) based assay to identify individuals with homozygous deletion in exon 7 of the SMN1 gene. Due to high DNA sequence homology between SMN1 and SMN2, it has previously been difficult to accur...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878289/ https://www.ncbi.nlm.nih.gov/pubmed/36713073 http://dx.doi.org/10.3389/fgene.2023.1095600 |
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author | Shum, Bennett O. V. Henner, Ilya Cairns, Anita Pretorius, Carel Wilgen, Urs Barahona, Paulette Ungerer, Jacobus P. J. Bennett, Glenn |
author_facet | Shum, Bennett O. V. Henner, Ilya Cairns, Anita Pretorius, Carel Wilgen, Urs Barahona, Paulette Ungerer, Jacobus P. J. Bennett, Glenn |
author_sort | Shum, Bennett O. V. |
collection | PubMed |
description | Newborn screening (NBS) assays for spinal muscular atrophy (SMA) typically use a polymerase chain reaction (PCR) based assay to identify individuals with homozygous deletion in exon 7 of the SMN1 gene. Due to high DNA sequence homology between SMN1 and SMN2, it has previously been difficult to accurately bioinformatically map short reads from next-generation DNA sequencing (NGS) to SMN1, resulting in low analytical performance and preventing NGS being used for SMA screening. Advances in bioinformatics have allowed NGS to be used in diagnostic settings, but to date these assays have not reached the scale required for high volume population newborn screening and have not been performed on the dried blood spot samples that NBS programs currently use. Here we integrate an NGS assay using hybridisation-based capture with a customised bioinformatics algorithm and purpose designed high throughput reporting software into an existing NBS program to achieve a laboratory workflow for population SMA screening. We tested the NGS assay on over 2500 newborns born over 2 weeks in a NBS program in a technical feasibility study and show high sensitivity and specificity. Our results suggest NGS may be an alternate method for SMA screening by NBS programs, providing a multiplex testing platform on which potentially hundreds of inherited conditions could be simultaneously tested. |
format | Online Article Text |
id | pubmed-9878289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98782892023-01-27 Technical feasibility of newborn screening for spinal muscular atrophy by next-generation DNA sequencing Shum, Bennett O. V. Henner, Ilya Cairns, Anita Pretorius, Carel Wilgen, Urs Barahona, Paulette Ungerer, Jacobus P. J. Bennett, Glenn Front Genet Genetics Newborn screening (NBS) assays for spinal muscular atrophy (SMA) typically use a polymerase chain reaction (PCR) based assay to identify individuals with homozygous deletion in exon 7 of the SMN1 gene. Due to high DNA sequence homology between SMN1 and SMN2, it has previously been difficult to accurately bioinformatically map short reads from next-generation DNA sequencing (NGS) to SMN1, resulting in low analytical performance and preventing NGS being used for SMA screening. Advances in bioinformatics have allowed NGS to be used in diagnostic settings, but to date these assays have not reached the scale required for high volume population newborn screening and have not been performed on the dried blood spot samples that NBS programs currently use. Here we integrate an NGS assay using hybridisation-based capture with a customised bioinformatics algorithm and purpose designed high throughput reporting software into an existing NBS program to achieve a laboratory workflow for population SMA screening. We tested the NGS assay on over 2500 newborns born over 2 weeks in a NBS program in a technical feasibility study and show high sensitivity and specificity. Our results suggest NGS may be an alternate method for SMA screening by NBS programs, providing a multiplex testing platform on which potentially hundreds of inherited conditions could be simultaneously tested. Frontiers Media S.A. 2023-01-12 /pmc/articles/PMC9878289/ /pubmed/36713073 http://dx.doi.org/10.3389/fgene.2023.1095600 Text en Copyright © 2023 Shum, Henner, Cairns, Pretorius, Wilgen, Barahona, Ungerer and Bennett. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Shum, Bennett O. V. Henner, Ilya Cairns, Anita Pretorius, Carel Wilgen, Urs Barahona, Paulette Ungerer, Jacobus P. J. Bennett, Glenn Technical feasibility of newborn screening for spinal muscular atrophy by next-generation DNA sequencing |
title | Technical feasibility of newborn screening for spinal muscular atrophy by next-generation DNA sequencing |
title_full | Technical feasibility of newborn screening for spinal muscular atrophy by next-generation DNA sequencing |
title_fullStr | Technical feasibility of newborn screening for spinal muscular atrophy by next-generation DNA sequencing |
title_full_unstemmed | Technical feasibility of newborn screening for spinal muscular atrophy by next-generation DNA sequencing |
title_short | Technical feasibility of newborn screening for spinal muscular atrophy by next-generation DNA sequencing |
title_sort | technical feasibility of newborn screening for spinal muscular atrophy by next-generation dna sequencing |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878289/ https://www.ncbi.nlm.nih.gov/pubmed/36713073 http://dx.doi.org/10.3389/fgene.2023.1095600 |
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