Literature DB >> 23288206

Comprehensive next-generation sequence analyses of the entire mitochondrial genome reveal new insights into the molecular diagnosis of mitochondrial DNA disorders.

Hong Cui1, Fangyuan Li, David Chen, Guoli Wang, Cavatina K Truong, Gregory M Enns, Brett Graham, Margherita Milone, Megan L Landsverk, Jing Wang, Wei Zhang, Lee-Jun C Wong.   

Abstract

PURPOSE: The application of massively parallel sequencing technology to the analysis of the mitochondrial genome has demonstrated great improvement in the molecular diagnosis of mitochondrial DNA-related disorders. The objective of this study was to investigate the performance characteristics and to gain new insights into the analysis of the mitochondrial genome.
METHODS: The entire mitochondrial genome was analyzed as a single amplicon using a long-range PCR-based enrichment approach coupled with massively parallel sequencing. The interference of the nuclear mitochondrial DNA homologs was distinguished from the actual mitochondrial DNA sequences by comparison with the results obtained from conventional PCR-based Sanger sequencing using multiple pairs of primers.
RESULTS: Our results demonstrated the uniform coverage of the entire mitochondrial genome. Massively parallel sequencing of the single amplicon revealed the presence of single-nucleotide polymorphisms and nuclear homologs of mtDNA sequences that cause the erroneous and inaccurate variant calls when PCR/Sanger sequencing approach was used. This single amplicon massively parallel sequencing strategy provides an accurate quantification of mutation heteroplasmy as well as the detection and mapping of mitochondrial DNA deletions.
CONCLUSION: The ability to quantitatively and qualitatively evaluate every single base of the entire mitochondrial genome is indispensible to the accurate molecular diagnosis and genetic counseling of mitochondrial DNA-related disorders. This new approach may be considered as first-line testing for comprehensive analysis of the mitochondrial genome.Genet Med 2013:15(5):388-394.

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Mesh:

Year:  2013        PMID: 23288206     DOI: 10.1038/gim.2012.144

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  45 in total

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Journal:  Mol Genet Metab       Date:  2019-01-25       Impact factor: 4.797

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Journal:  Methods Cell Biol       Date:  2019-12-02       Impact factor: 1.441

10.  Novel insights into the functional metabolic impact of an apparent de novo m.8993T>G variant in the MT-ATP6 gene associated with maternally inherited form of Leigh Syndrome.

Authors:  Martine Uittenbogaard; Christine A Brantner; ZiShui Fang; Lee-Jun C Wong; Andrea Gropman; Anne Chiaramello
Journal:  Mol Genet Metab       Date:  2018-03-27       Impact factor: 4.797

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