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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7248429 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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