Whole genome variation analysis using single molecule sequencing

Tony Smith
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引用次数: 5

Abstract

Discovering the genetic factors associated with common diseases and drug response has proved a daunting challenge. Genotyping has been preferred over DNA sequencing, despite its lower information content, because the latter has been prohibitively expensive. Even accepting this compromise, the scale of whole genome scans has proved unaffordable, despite advances in genotyping technology. This challenge is being addressed by technologies that seek to analyse genomic DNA at the single molecule level, as this offers the potential to re-sequence the genome of an individual human at a cost and throughput that represents five orders of magnitude improvement over conventional sequencing.

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单分子测序全基因组变异分析
发现与常见疾病和药物反应相关的遗传因素已被证明是一项艰巨的挑战。基因分型比DNA测序更受青睐,尽管其信息含量较低,因为后者过于昂贵。即使接受这一妥协,尽管基因分型技术取得了进步,但事实证明,全基因组扫描的规模是负担不起的。这一挑战正在通过寻求在单分子水平上分析基因组DNA的技术来解决,因为这提供了对个体基因组进行重测序的潜力,其成本和通量比传统测序提高了五个数量级。
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