大规模并行测序
巨量平行
计算生物学
生物
DNA测序
计算机科学
遗传学
DNA
并行计算
作者
Victor Wei Zhang,Hong Cui,Lee‐Jun C. Wong
出处
期刊:Clinical Chemistry
[American Association for Clinical Chemistry]
日期:2012-07-10
卷期号:58 (9): 1322-1331
被引量:151
标识
DOI:10.1373/clinchem.2011.181438
摘要
Mitochondrial diseases are clinically and genetically heterogeneous, with variable penetrance, expressivity, and differing age of onset. Disease-causing point mutations and large deletions in the mitochondrial genome often exist in a heteroplasmic state. Current molecular analyses require multiple different and complementary methods for the detection and quantification of mitochondrial DNA (mtDNA) mutations. We developed a novel approach to analyze the mtDNA in 1 step.The entire human mitochondrial genome was enriched by a single amplicon long-range PCR followed by massively parallel sequencing to simultaneously detect mtDNA point mutations and large deletions with heteroplasmic levels of the mutations and variants quantified. QC samples were designed and analyzed along with each sample. A total of 45 samples were analyzed for the evaluation of analytic sensitivity and specificity.Our analysis demonstrated 100% diagnostic sensitivity and specificity of base calls compared to the results from Sanger sequencing. The deep coverage allowed the detection and quantification of heteroplasmy at every single nucleotide position of the 16 569-bp mitochondrial genome. Moreover, the method also detected large deletions with the breakpoints mapped.This "deep" sequencing approach provides a 1-step comprehensive molecular analysis of the whole mitochondrial genome for patients in whom a mitochondrial disease is suspected.
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