Turner Emily H, Ng Sarah B, Nickerson Deborah A, Shendure Jay
Department of Genome Sciences, University of Washington, Seattle, Washington 98195-5065, USA.
Annu Rev Genomics Hum Genet. 2009;10:263-84. doi: 10.1146/annurev-genom-082908-150112.
The emergence of massively parallel DNA sequencing platforms has made resequencing an affordable approach to study genetic variation. However, the cost of whole genome resequencing remains too high to apply to large numbers of human samples. Genomic partitioning methods allow enrichment for regions of interest at a scale that is matched to the throughput of the new sequencing platforms. We review general categories of methods for genomic partitioning including multiplex PCR, capture-by-circularization, and capture-by-hybridization. Parameters that are relevant to the performance of any given method include multiplexity, specificity, uniformity, input requirements, scalability, and cost. The successful development of genomic partitioning strategies will be key to taking full advantage of massively parallel sequencing, at least until resequencing of complete mammalian genomes becomes widely affordable.
大规模平行DNA测序平台的出现使重测序成为一种经济实惠的研究遗传变异的方法。然而,全基因组重测序的成本仍然过高,无法应用于大量人类样本。基因组分区方法能够在与新测序平台通量相匹配的规模上对感兴趣区域进行富集。我们综述了基因组分区方法的一般类别,包括多重PCR、环化捕获和杂交捕获。与任何给定方法的性能相关的参数包括多重性、特异性、均匀性、输入要求、可扩展性和成本。基因组分区策略的成功开发将是充分利用大规模平行测序的关键,至少在完整哺乳动物基因组重测序变得广泛可承受之前是这样。