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Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel

机译:使用UK10K单倍型参考面板改进了低频和稀有变异的插补

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Imputing genotypes from reference panels created by whole-genome sequencing (WGS) provides a cost-effective strategy for augmenting the single-nucleotide polymorphism (SNP) content of genome-wide arrays. The UK10K Cohorts project has generated a data set of 3,781 whole genomes sequenced at low depth (average 7x), aiming to exhaustively characterize genetic variation down to 0.1% minor allele frequency in the British population. Here we demonstrate the value of this resource for improving imputation accuracy at rare and low-frequency variants in both a UK and an Italian population. We show that large increases in imputation accuracy can be achieved by re-phasing WGS reference panels after initial genotype calling. We also present a method for combining WGS panels to improve variant coverage and downstream imputation accuracy, which we illustrate by integrating 7,562 WGS haplotypes from the UK10K project with 2,184 haplotypes from the 1000 Genomes Project. Finally, we introduce a novel approximation that maintains speed without sacrificing imputation accuracy for rare variants.
机译:从全基因组测序(WGS)创建的参考面板中估算基因型为增加全基因组阵列的单核苷酸多态性(SNP)含量提供了一种经济高效的策略。 UK10K队列研究项目已经生成了3,781个全基因组的数据集,这些数据集以低深度(平均7倍)进行测序,旨在详尽地描述低至英国人口中0.1%的次要等位基因频率的遗传变异。在这里,我们证明了该资源对于提高英国和意大利人口中稀有和低频变体的插补精度的价值。我们显示,通过在初始基因型调用后重新定相WGS参考面板,可以实现估算精度的大幅提高。我们还提出了一种结合WGS面板以提高变异覆盖率和下游插补准确性的方法,通过将UK10K项目中的7,562个WGS单倍型与1000个基因组项目中的2,184个单倍型进行整合来说明。最后,我们介绍了一种新颖的近似算法,该算法可在不牺牲稀有变量的插补精度的情况下保持速度。

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