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  • The diagnostic utility of genome sequencing in a pediatric cohort with suspected mitochondrial disease

    Author(s)
    Riley, Lisa G
    Cowley, Mark J
    Gayevskiy, Velimir
    Minoche, Andre E
    Puttick, Clare
    Thorburn, David R
    Rius, Rocio
    Compton, Alison G
    Menezes, Minal J
    Bhattacharya, Kaustuv
    Coman, David
    Ellaway, Carolyn
    Alexander, Ian E
    Adams, Louisa
    et al.
    Griffith University Author(s)
    Coman, Dave J.
    Year published
    2020
    Metadata
    Show full item record
    Abstract
    Purpose: The utility of genome sequencing (GS) in the diagnosis of suspected pediatric mitochondrial disease (MD) was investigated. Methods: An Australian cohort of 40 pediatric patients with clinical features suggestive of MD were classified using the modified Nijmegen mitochondrial disease severity scoring into definite (17), probable (17), and possible (6) MD groups. Trio GS was performed using DNA extracted from patient and parent blood. Data were analyzed for single-nucleotide variants, indels, mitochondrial DNA variants, and structural variants. Results: A definitive MD gene molecular diagnosis was made in 15 cases and ...
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    Purpose: The utility of genome sequencing (GS) in the diagnosis of suspected pediatric mitochondrial disease (MD) was investigated. Methods: An Australian cohort of 40 pediatric patients with clinical features suggestive of MD were classified using the modified Nijmegen mitochondrial disease severity scoring into definite (17), probable (17), and possible (6) MD groups. Trio GS was performed using DNA extracted from patient and parent blood. Data were analyzed for single-nucleotide variants, indels, mitochondrial DNA variants, and structural variants. Results: A definitive MD gene molecular diagnosis was made in 15 cases and a likely MD molecular diagnosis in a further five cases. Causative mitochondrial DNA (mtDNA) variants were identified in four of these cases. Three potential novel MD genes were identified. In seven cases, causative variants were identified in known disease genes with no previous evidence of causing a primary MD. Diagnostic rates were higher in patients classified as having definite MD. Conclusion: GS efficiently identifies variants in MD genes of both nuclear and mitochondrial origin. A likely molecular diagnosis was identified in 67% of cases and a definitive molecular diagnosis achieved in 55% of cases. This study highlights the value of GS for a phenotypically and genetically heterogeneous disorder like MD.
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    Journal Title
    Genetics in Medicine
    Volume
    22
    Issue
    7
    DOI
    https://doi.org/10.1038/s41436-020-0793-6
    Subject
    Genetics
    Clinical sciences
    Science & Technology
    Life Sciences & Biomedicine
    Genetics & Heredity
    genome sequencing
    mitochondrial disease
    Publication URI
    http://hdl.handle.net/10072/397406
    Collection
    • Journal articles

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