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Genetics of mitochondrial diseases: Identifying mutations to help diagnosis

Mitochondrial diseases are amongst the most genetically and phenotypically diverse groups of inherited diseases. The vast phenotypic overlap with other disease entities together with the absence of reliable biomarkers act as driving forces for the integration of unbiased methodologies early in the d...

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Detalles Bibliográficos
Autores principales: Stenton, Sarah L., Prokisch, Holger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248429/
https://www.ncbi.nlm.nih.gov/pubmed/32454403
http://dx.doi.org/10.1016/j.ebiom.2020.102784
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author Stenton, Sarah L.
Prokisch, Holger
author_facet Stenton, Sarah L.
Prokisch, Holger
author_sort Stenton, Sarah L.
collection PubMed
description Mitochondrial diseases are amongst the most genetically and phenotypically diverse groups of inherited diseases. The vast phenotypic overlap with other disease entities together with the absence of reliable biomarkers act as driving forces for the integration of unbiased methodologies early in the diagnostic algorithm, such as whole exome sequencing (WES) and whole genome sequencing (WGS). Such approaches are used in variant discovery and in combination with high-throughput functional assays such as transcriptomics in simultaneous variant discovery and validation. By capturing all genes, they not only increase the diagnostic rate in heterogenous mitochondrial disease patients, but accelerate novel disease gene discovery, and are valuable in side-stepping the risk of overlooking unexpected or even treatable genetic disease diagnoses.
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spelling pubmed-72484292020-05-29 Genetics of mitochondrial diseases: Identifying mutations to help diagnosis Stenton, Sarah L. Prokisch, Holger eBioMedicine Review Mitochondrial diseases are amongst the most genetically and phenotypically diverse groups of inherited diseases. The vast phenotypic overlap with other disease entities together with the absence of reliable biomarkers act as driving forces for the integration of unbiased methodologies early in the diagnostic algorithm, such as whole exome sequencing (WES) and whole genome sequencing (WGS). Such approaches are used in variant discovery and in combination with high-throughput functional assays such as transcriptomics in simultaneous variant discovery and validation. By capturing all genes, they not only increase the diagnostic rate in heterogenous mitochondrial disease patients, but accelerate novel disease gene discovery, and are valuable in side-stepping the risk of overlooking unexpected or even treatable genetic disease diagnoses. Elsevier 2020-05-23 /pmc/articles/PMC7248429/ /pubmed/32454403 http://dx.doi.org/10.1016/j.ebiom.2020.102784 Text en © 2020 Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review
Stenton, Sarah L.
Prokisch, Holger
Genetics of mitochondrial diseases: Identifying mutations to help diagnosis
title Genetics of mitochondrial diseases: Identifying mutations to help diagnosis
title_full Genetics of mitochondrial diseases: Identifying mutations to help diagnosis
title_fullStr Genetics of mitochondrial diseases: Identifying mutations to help diagnosis
title_full_unstemmed Genetics of mitochondrial diseases: Identifying mutations to help diagnosis
title_short Genetics of mitochondrial diseases: Identifying mutations to help diagnosis
title_sort genetics of mitochondrial diseases: identifying mutations to help diagnosis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248429/
https://www.ncbi.nlm.nih.gov/pubmed/32454403
http://dx.doi.org/10.1016/j.ebiom.2020.102784
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