...
首页> 外文期刊>Genetics, selection, evolution >A method for allocating low-coverage sequencing resources by targeting haplotypes rather than individuals
【24h】

A method for allocating low-coverage sequencing resources by targeting haplotypes rather than individuals

机译:通过针对单倍型而不是针对个体分配低覆盖率测序资源的方法

获取原文
           

摘要

This paper describes a heuristic method for allocating low-coverage sequencing resources by targeting haplotypes rather than individuals. Low-coverage sequencing assembles high-coverage sequence information for every individual by accumulating data from the genome segments that they share with many other individuals into consensus haplotypes. Deriving the consensus haplotypes accurately is critical for achieving a high phasing and imputation accuracy. In order to enable accurate phasing and imputation of sequence information for the whole population, we allocate the available sequencing resources among individuals with existing phased genomic data by targeting the sequencing coverage of their haplotypes. Our method, called AlphaSeqOpt, prioritizes haplotypes using a score function that is based on the frequency of the haplotypes in the sequencing set relative to the target coverage. AlphaSeqOpt has two steps: (1) selection of an initial set of individuals by iteratively choosing the individuals that have the maximum score conditional on the current set, and (2) refinement of the set through several rounds of exchanges of individuals. AlphaSeqOpt is very effective for distributing a fixed amount of sequencing resources evenly across haplotypes, which results in a reduction of the proportion of haplotypes that are sequenced below the target coverage. AlphaSeqOpt can provide a greater proportion of haplotypes sequenced at the target coverage by sequencing less individuals, as compared with other methods that use a score function based on haplotype frequencies in the population. A refinement of the initially selected set can provide a larger more diverse set with more unique individuals, which is beneficial in the context of low-coverage sequencing. We extend the method with an approach for filtering rare haplotypes based on their flanking haplotypes, so that only those that are likely to derive from a recombination event are targeted. We present a method for allocating sequencing resources so that a greater proportion of haplotypes are sequenced at a coverage that is sufficiently high for population-based imputation with low-coverage sequencing. The haplotype score function, the refinement step, and the new approach for filtering rare haplotypes make AlphaSeqOpt more effective for that purpose than previously reported methods for reducing sequencing redundancy.
机译:本文介绍了一种通过针对单倍型而不是针对个体来分配低覆盖率测序资源的启发式方法。低覆盖率测序通过将与许多其他个体共享的基因组片段中的数据累积为共有单倍型,从而为每个个体收集高覆盖率序列信息。准确得出共有单倍型对于实现高定相和插补精度至关重要。为了使整个人群能够准确地定相和估算序列信息,我们通过针对其单倍型的测序覆盖范围,在具有现有阶段化基因组数据的个体之间分配可用的测序资源。我们的方法称为AlphaSeqOpt,它使用得分函数对单倍型进行优先排序,该函数基于相对于目标覆盖范围的测序集中单倍型的频率。 AlphaSeqOpt有两个步骤:(1)通过迭代选择以当前集合为条件的最大分数的个体来选择初始个体集,以及(2)通过几轮个体交换来完善集合。 AlphaSeqOpt对于在单倍型之间平均分配固定数量的测序资源非常有效,这会导致测序的单倍型比例低于目标覆盖率。与使用基于群体中单倍型频率的得分函数的其他方法相比,AlphaSeqOpt可通过对较少的个体进行测序来提供更大比例的以目标覆盖率测序的单倍型。最初选择的集合的细化可以提供具有更多独特个体的更大更多样化的集合,这在低覆盖率测序的背景下是有益的。我们使用基于侧翼单倍型过滤稀有单倍型的方法扩展了该方法,以便仅针对那些可能来自重组事件的单倍型。我们提出了一种分配测序资源的方法,以便以足够高的覆盖率对更大比例的单倍型进行测序,以覆盖率较低的人群为基础进行归算。单体型评分功能,优化步骤以及用于过滤稀有单体型的新方法使AlphaSeqOpt可以比以前报道的减少测序冗余的方法更有效。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号