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Whole exome sequencing of suspected mitochondrial patients in clinical practice

Mitochondrial disorders are characterized by a broad clinical spectrum. Identical clinical signs and symptoms can be caused by mutations in different mitochondrial or nuclear genes. Vice versa, the same mutation can lead to different phenotypes. Genetic syndromes and neuromuscular disorders mimickin...

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Autores principales: Wortmann, Saskia B., Koolen, David A., Smeitink, Jan A., van den Heuvel, Lambert, Rodenburg, Richard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4432107/
https://www.ncbi.nlm.nih.gov/pubmed/25735936
http://dx.doi.org/10.1007/s10545-015-9823-y
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author Wortmann, Saskia B.
Koolen, David A.
Smeitink, Jan A.
van den Heuvel, Lambert
Rodenburg, Richard J.
author_facet Wortmann, Saskia B.
Koolen, David A.
Smeitink, Jan A.
van den Heuvel, Lambert
Rodenburg, Richard J.
author_sort Wortmann, Saskia B.
collection PubMed
description Mitochondrial disorders are characterized by a broad clinical spectrum. Identical clinical signs and symptoms can be caused by mutations in different mitochondrial or nuclear genes. Vice versa, the same mutation can lead to different phenotypes. Genetic syndromes and neuromuscular disorders mimicking mitochondrial disorders further complicate the diagnostic process. Whole exome sequencing (WES) is the state of the art next generation sequencing technique to identify genetic defects in mitochondrial disorders. Until recently it has mainly been used as a research tool. In this study, the use of WES in routine diagnostics is described. The WES data of 109 patients, referred under the suspicion of a mitochondrial disorder, were examined in two steps. First, the data were filtered using a virtual gene panel of genes known to be associated with mitochondrial disease. If negative, the entire exome was examined. A molecular diagnosis was achieved in 39 % of the heterogeneous cohort, and in 57 % of the subgroup of 42 patients with the highest suspicion for a mitochondrial disease. In addition to mutations in genes known to be associated with mitochondrial disorders (e.g. TUFM, MTFMT, FBXL4), in the subgroup of patients with the lowest suspicion for a mitochondrial disorder we found mutations in several genes associated with neuromuscular disorders (e.g. SEPN1, ACTA1) and genetic syndrome (e.g. SETBP1, ARID1B). Our results show that WES technology has been successfully implemented as a state-of-the-art, molecular diagnostic test for mitochondrial disorders as well as for the mimicking disorders in daily clinical practice. It also illustrates that clinical and biochemical phenotyping is essential for successful application of WES to diagnose individual patients.
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spelling pubmed-44321072015-05-19 Whole exome sequencing of suspected mitochondrial patients in clinical practice Wortmann, Saskia B. Koolen, David A. Smeitink, Jan A. van den Heuvel, Lambert Rodenburg, Richard J. J Inherit Metab Dis Original Article Mitochondrial disorders are characterized by a broad clinical spectrum. Identical clinical signs and symptoms can be caused by mutations in different mitochondrial or nuclear genes. Vice versa, the same mutation can lead to different phenotypes. Genetic syndromes and neuromuscular disorders mimicking mitochondrial disorders further complicate the diagnostic process. Whole exome sequencing (WES) is the state of the art next generation sequencing technique to identify genetic defects in mitochondrial disorders. Until recently it has mainly been used as a research tool. In this study, the use of WES in routine diagnostics is described. The WES data of 109 patients, referred under the suspicion of a mitochondrial disorder, were examined in two steps. First, the data were filtered using a virtual gene panel of genes known to be associated with mitochondrial disease. If negative, the entire exome was examined. A molecular diagnosis was achieved in 39 % of the heterogeneous cohort, and in 57 % of the subgroup of 42 patients with the highest suspicion for a mitochondrial disease. In addition to mutations in genes known to be associated with mitochondrial disorders (e.g. TUFM, MTFMT, FBXL4), in the subgroup of patients with the lowest suspicion for a mitochondrial disorder we found mutations in several genes associated with neuromuscular disorders (e.g. SEPN1, ACTA1) and genetic syndrome (e.g. SETBP1, ARID1B). Our results show that WES technology has been successfully implemented as a state-of-the-art, molecular diagnostic test for mitochondrial disorders as well as for the mimicking disorders in daily clinical practice. It also illustrates that clinical and biochemical phenotyping is essential for successful application of WES to diagnose individual patients. Springer Netherlands 2015-03-04 2015 /pmc/articles/PMC4432107/ /pubmed/25735936 http://dx.doi.org/10.1007/s10545-015-9823-y Text en © The Author(s) 2015 https://creativecommons.org/licenses/by/4.0/ Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Article
Wortmann, Saskia B.
Koolen, David A.
Smeitink, Jan A.
van den Heuvel, Lambert
Rodenburg, Richard J.
Whole exome sequencing of suspected mitochondrial patients in clinical practice
title Whole exome sequencing of suspected mitochondrial patients in clinical practice
title_full Whole exome sequencing of suspected mitochondrial patients in clinical practice
title_fullStr Whole exome sequencing of suspected mitochondrial patients in clinical practice
title_full_unstemmed Whole exome sequencing of suspected mitochondrial patients in clinical practice
title_short Whole exome sequencing of suspected mitochondrial patients in clinical practice
title_sort whole exome sequencing of suspected mitochondrial patients in clinical practice
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4432107/
https://www.ncbi.nlm.nih.gov/pubmed/25735936
http://dx.doi.org/10.1007/s10545-015-9823-y
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