【2h】

High-throughput high-accuracy array-based resequencing

机译:高吞吐量高精度的基于阵列的重新排序

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摘要

Although genomewide association studies have successfully identified associations of many common single-nucleotide polymorphisms (SNPs) with common diseases, the SNPs implicated so far account for only a small proportion of the genetic variability of tested diseases. It has been suggested that common diseases may often be caused by rare alleles missed by genomewide association studies. To identify these rare alleles we need high-throughput, high-accuracy resequencing technologies. Although array-based genotyping has allowed genomewide association studies of common SNPs in tens of thousands of samples, array-based resequencing has been limited for 2 main reasons: the lack of a fully multiplexed pipeline for high-throughput sample processing, and failure to achieve sufficient performance. We have recently solved both of these problems and created a fully multiplexed high-throughput pipeline that results in high-quality data. The pipeline consists of target amplification from genomic DNA, followed by allele enrichment to generate pools of purified variant (or nonvariant) DNA and ends with interrogation of purified DNA on resequencing arrays. We have used this pipeline to resequence ≈5 Mb of DNA (on 3 arrays) corresponding to the exons of 1,500 genes in >473 samples; in total >2,350 Mb were sequenced. In the context of this large-scale study we obtained a false positive rate of ≈1 in 500,000 bp and a false negative rate of ≈10%.
机译:尽管全基因组关联研究已成功鉴定出许多常见的单核苷酸多态性(SNP)与常见疾病的关联,但到目前为止,涉及的SNP仅占被测疾病遗传变异的一小部分。已经提出,常见疾病通常可能是由全基因组关联研究遗漏的罕见等位基因引起的。为了鉴定这些稀有等位基因,我们需要高通量,高精度的重测序技术。尽管基于阵列的基因分型已允许成千上万的样品进行全基因组SNP的全基因组关联研究,但基于阵列的重测序受到限制的主要原因有两个:缺乏用于高通量样品处理的完全多路复用管线以及无法实现足够的性能。我们最近解决了这两个问题,并创建了完全多路复用的高吞吐量管道,从而产生了高质量的数据。管道包括从基因组DNA扩增靶标,然后进行等位基因富集以生成纯化的变异(或非变异)DNA库,并在重测序阵列上以纯化的DNA进行询问结束。我们已经使用该管道对大约473个样本中的1,500个基因的外显子对应的≈5Mb DNA(在3个阵列上)进行重测序。总共测序了> 2,350 Mb。在这项大规模研究的背景下,我们在500,000 bp中获得了≈1的假阳性率和≈10%的假阴性率。

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