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Methods of lowering the error rate of massively parallel DNA sequencing using duplex consensus sequencing

机译:使用双面 共识 测序 降低 大规模并行 DNA测序 的错误率 的 方法

摘要

Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand. This method uniquely capitalizes on the redundant information stored in double-stranded DNA, thus overcoming technical limitations of prior methods utilizing data from only one of the two strands.
机译:下一代DNA测序承诺彻底改变临床医学和基础研究。然而,虽然该技术在单一实验中具有生成数百十亿个DNA序列的核苷酸的能力,但是大约1%的错误率导致数百千万个测序错误。在某些应用中可以容忍这些散射误差,但是当“深度测序”遗传异质混合物(例如肿瘤或混合微生物种群)时变得非常有问题。为了克服测序精度的限制,提供了方法双工共识测序(DCS)。这种方法通过独立标记和测序DNA双链链的两条链中的每一种来大大减少误差。随着两条链是互补的,真正的突变在两个股线中发现在相同的位置。相反,PCR或测序误差将仅在一条股线中导致误差。该方法独特地利用存储在双链DNA中的冗余信息上,从而克服了利用来自两个股线中的一个数据的现有方法的技术限制。

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