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“Transcriptomics”: molecular diagnosis of inborn errors of metabolism via RNA-sequencing

Exome wide sequencing techniques have revolutionized molecular diagnostics in patients with suspected inborn errors of metabolism or neuromuscular disorders. However, the diagnostic yield of 25–60% still leaves a large fraction of individuals without a diagnosis. This indicates a causative role for...

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Detalles Bibliográficos
Autores principales: Kremer, Laura S., Wortmann, Saskia B., Prokisch, Holger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5959960/
https://www.ncbi.nlm.nih.gov/pubmed/29372369
http://dx.doi.org/10.1007/s10545-017-0133-4
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author Kremer, Laura S.
Wortmann, Saskia B.
Prokisch, Holger
author_facet Kremer, Laura S.
Wortmann, Saskia B.
Prokisch, Holger
author_sort Kremer, Laura S.
collection PubMed
description Exome wide sequencing techniques have revolutionized molecular diagnostics in patients with suspected inborn errors of metabolism or neuromuscular disorders. However, the diagnostic yield of 25–60% still leaves a large fraction of individuals without a diagnosis. This indicates a causative role for non-exonic regulatory variants not covered by whole exome sequencing. Here we review how systematic RNA-sequencing analysis (RNA-seq, “transcriptomics”) lead to a molecular diagnosis in 10–35% of patients in whom whole exome sequencing failed to do so. Importantly, RNA-sequencing based discoveries cannot only guide molecular diagnosis but might also unravel therapeutic intervention points such as antisense oligonucleotide treatment for splicing defects as recently reported for spinal muscular atrophy.
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spelling pubmed-59599602018-05-24 “Transcriptomics”: molecular diagnosis of inborn errors of metabolism via RNA-sequencing Kremer, Laura S. Wortmann, Saskia B. Prokisch, Holger J Inherit Metab Dis Transcriptomics Exome wide sequencing techniques have revolutionized molecular diagnostics in patients with suspected inborn errors of metabolism or neuromuscular disorders. However, the diagnostic yield of 25–60% still leaves a large fraction of individuals without a diagnosis. This indicates a causative role for non-exonic regulatory variants not covered by whole exome sequencing. Here we review how systematic RNA-sequencing analysis (RNA-seq, “transcriptomics”) lead to a molecular diagnosis in 10–35% of patients in whom whole exome sequencing failed to do so. Importantly, RNA-sequencing based discoveries cannot only guide molecular diagnosis but might also unravel therapeutic intervention points such as antisense oligonucleotide treatment for splicing defects as recently reported for spinal muscular atrophy. Springer Netherlands 2018-01-25 2018 /pmc/articles/PMC5959960/ /pubmed/29372369 http://dx.doi.org/10.1007/s10545-017-0133-4 Text en © The Author(s) 2018 Open Access This 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.
spellingShingle Transcriptomics
Kremer, Laura S.
Wortmann, Saskia B.
Prokisch, Holger
“Transcriptomics”: molecular diagnosis of inborn errors of metabolism via RNA-sequencing
title “Transcriptomics”: molecular diagnosis of inborn errors of metabolism via RNA-sequencing
title_full “Transcriptomics”: molecular diagnosis of inborn errors of metabolism via RNA-sequencing
title_fullStr “Transcriptomics”: molecular diagnosis of inborn errors of metabolism via RNA-sequencing
title_full_unstemmed “Transcriptomics”: molecular diagnosis of inborn errors of metabolism via RNA-sequencing
title_short “Transcriptomics”: molecular diagnosis of inborn errors of metabolism via RNA-sequencing
title_sort “transcriptomics”: molecular diagnosis of inborn errors of metabolism via rna-sequencing
topic Transcriptomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5959960/
https://www.ncbi.nlm.nih.gov/pubmed/29372369
http://dx.doi.org/10.1007/s10545-017-0133-4
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