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An accurate clone-based haplotyping method by overlapping pool sequencing

机译:基于重叠池测序的基于克隆的准确单倍型方法

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Chromosome-long haplotyping of human genomes is important to identify genetic variants with differing gene expression, in human evolution studies, clinical diagnosis, and other biological and medical fields. Although several methods have realized haplotyping based on sequencing technologies or population statistics, accuracy and cost are factors that prohibit their wide use. Borrowing ideas from group testing theories, we proposed a clone-based haplotyping method by overlapping pool sequencing. The clones from a single individual were pooled combinatorially and then sequenced. According to the distinct pooling pattern for each clone in the overlapping pool sequencing, alleles for the recovered variants could be assigned to their original clones precisely. Subsequently, the clone sequences could be reconstructed by linking these alleles accordingly and assembling them into haplotypes with high accuracy. To verify the utility of our method, we constructed 130 110 clones in silico for the individual NA12878 and simulated the pooling and sequencing process. Ultimately, 99.9% of variants on chromosome 1 that were covered by clones from both parental chromosomes were recovered correctly, and 112 haplotype contigs were assembled with an N50 length of 3.4 Mb and no switch errors. A comparison with current clone-based haplotyping methods indicated our method was more accurate.
机译:在人类进化研究,临床诊断以及其他生物学和医学领域,人类基因组的染色体单倍型分析对于鉴定具有不同基因表达的遗传变异很重要。尽管有几种方法已经实现了基于测序技术或种群统计的单倍型,但准确性和成本是阻碍其广泛使用的因素。借鉴小组测试理论的想法,我们通过重叠池测序提出了一种基于克隆的单体型方法。合并合并来自单个个体的克隆,然后进行测序。根据重叠池测序中每个克隆的独特合并模式,可以将回收变异体的等位基因精确地分配给其原始克隆。随后,可以通过相应地连接这些等位基因并将它们高精度地组装成单倍型来重建克隆序列。为了验证我们方法的实用性,我们在计算机上为单个NA12878构建了130 110个克隆,并模拟了合并和测序过程。最终,正确地回收了两个亲代染色体克隆覆盖的9号染色体上99.9%的变体,并组装了112个单倍型重叠群,其N50长度为3.4 Mb,无切换错误。与当前基于克隆的单倍型方法的比较表明我们的方法更准确。

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