利用混合测序数据评估等位基因频率估计的准确性。

Q4 Pharmacology, Toxicology and Pharmaceutics
Yan Guo, Qiuyin Cai, Chun Li, Jiang Li, Regina Courtney, Wei Zheng, Jirong Long
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引用次数: 8

摘要

下一代测序技术已经成熟,并且以其目前的可负担性,将取代SNP芯片成为首选的基因分型工具。即使以目前的可负担性,大规模的研究也需要仔细的研究设计来降低成本。在这项研究中,我们设计了一个实验来评估从汇总测序数据估计的等位基因频率的准确性。我们将测序数据估计的等位基因频率与单个SNP芯片数据估计的等位基因频率进行了比较,发现它们之间存在很高的相关性。然而,通过计算错误率,我们发现许多SNP的测序数据估计的等位基因频率与SNP芯片数据估计的等位基因频率存在显著差异。总之,我们发现相关性不是比较等位基因频率的理想测量方法。为了估计等位基因频率,我们不建议使用NGS池作为单独对每个样本进行基因分型的更便宜的替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An evaluation of allele frequency estimation accuracy using pooled sequencing data.

Next generation sequencing technology has matured, and with its current affordability, will replace the SNP chip as the genotyping tool of choice. Even with the current affordability of NGS, large scale studies will require careful study design to reduce cost. In this study, we designed an experiment to assess the accuracy of allele frequency estimated from pooled sequencing data. We compared the allele frequency estimated from sequencing data with the allele frequency estimated from individual SNP chip data and observed high correlations between them. However, by calculating error rate, we found that many SNPs had their allele frequency estimated from sequencing data significantly different from allele frequency estimated from SNP chip data. In conclusion, we found correlation is not an ideal measurement for comparing allele frequencies. And for the purpose of estimating allele frequency, we do not recommend using pooling with NGS as a cheaper alternative to genotype each sample individually.

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来源期刊
International Journal of Computational Biology and Drug Design
International Journal of Computational Biology and Drug Design Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
1.00
自引率
0.00%
发文量
8
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