Cited by 235Genomics and Rare DiseasesMitochondrial Function and PathologyMetabolism and Genetic Disorders

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Whole exome sequencing of suspected mitochondrial patients in clinical practice

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Abstract

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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Metadata

Authors
Wortmann, S. B., Koolen, D. A., Smeitink, J. A., den van Heuvel, L., & Rodenburg, R. J.
Affiliations
  • Radboud University Nijmegen (NL)
  • Radboud University Medical Center (NL)
Corresponding author
Rodenburg, Richard J.
Venue
Journal of Inherited Metabolic Disease
Publisher
Wiley
Published
2015-03-04
Volume
38
Issue
3
Pages
437-443
ISSN
  • 0141-8955 (ISSN-L)
  • 1573-2665
OpenAlex
W1980589014
Cited by
233
References
39
Citations by year
2026: 11 · 2025: 11 · 2024: 21 · 2023: 17 · 2022: 17 · 2021: 33 · 2020: 28 · 2019: 21 · 2018: 28 · 2017: 24 · 2016: 17 · 2015: 5
FWCI
16.95
Type
journal article
Language
en
Open access
Locations
  • Journal of Inherited Metabolic Disease (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Radboud Repository (Radboud University) (submittedVersion)
  • Radboud Repository (Radboud University) (submittedVersion, other-oa)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Mitochondrial Function and Pathology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Metabolism and Genetic Disorders
Keywords
mitochondrial disease, exome sequencing, molecular diagnosis, diagnostic yield, neuromuscular disorders, genetic syndromes, phenotyping, TUFM, FBXL4, SEPN1, ACTA1, SETBP1, ARID1B
MeSH terms
Adolescent, Adult, Child, Child, Preschool, Female, Humans, Infant, Male, Mitochondria, Mutation, Phenotype, Sequence Analysis, DNA, Mitochondrial Diseases, Young Adult, High-Throughput Nucleotide Sequencing, Exome

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