Open AccessCharacterization of mitochondrial DNA heteroplasmy using a parallel sequencing system
Author(s) -
Sha Tang,
Taosheng Huang
Publication year - 2010
Publication title -
biotechniques/biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/000113389
Subject(s) - heteroplasmy , mitochondrial dna , dna sequencing , biology , genetics , dna , massive parallel sequencing , polymerase chain reaction , computational biology , microbiology and biotechnology , gene
Characterization of human mitochondrial genome sequences is important for the molecular diagnosis of mitochondrial diseases, especially in samples with a low level of mitochondrial DNA (mtDNA) heteroplasmy (≥5%). Currently, no single methodology can simultaneously determine complete mtDNA sequences, identify mitochondrial genome–wide heteroplasmies, and quantify mtDNA heteroplasmy levels. The deep sampling inherent in “next-generation” sequencing approaches should enable the efficient detection of low-level DNA heteroplasmies and address this need. Herein, we used the Illumina Genome Analyzer to re-sequence human mtDNA samples from two subjects that were combined at five different ratios (1:99, 5:95, 10:90, 20:80, and 50:50). We assessed the sensitivity, specificity, and accuracy of this system, and our results show that mtDNA heteroplasmies ≥5% were detected 100% of the time with virtually no false positives and that the estimates of mtDNA heteroplasmy levels were remarkably close to the theoretical values (correlation coefficient = 0.96). Therefore, parallel sequencing provides a simple, high-throughput, and cost-effective platform for mitochondrial genome sequencing with sensitivity and specificity for mtDNA heteroplasmy detection.