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The impact of library preparation protocols on the consistency of allele frequency estimates in Pool‐Seq data

机译:文库制备方案对Pool-Seq数据中等位基因频率估计值一致性的影响

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摘要

Sequencing pools of individuals (Pool‐Seq) is a cost‐effective method to determine genome‐wide allele frequency estimates. Given the importance of meta‐analyses combining data sets, we determined the influence of different genomic library preparation protocols on the consistency of allele frequency estimates. We found that typically no more than 1% of the variation in allele frequency estimates could be attributed to differences in library preparation. Also read length had only a minor effect on the consistency of allele frequency estimates. By far, the most pronounced influence could be attributed to sequence coverage. Increasing the coverage from 30‐ to 50‐fold improved the consistency of allele frequency estimates by at least 27%. We conclude that Pool‐Seq data can be easily combined across different library preparation methods, but sufficient sequence coverage is key to reliable results.
机译:个体测序池(Pool-Seq)是确定全基因组等位基因频率估计值的经济有效的方法。考虑到荟萃分析结合数据集的重要性,我们确定了不同基因组文库制备方案对等位基因频率估计值一致性的影响。我们发现等位基因频率估计值的变异通常不会超过1%,这可归因于文库制备的差异。同样,读取长度对等位基因频率估计的一致性只有很小的影响。到目前为止,最明显的影响可以归因于序列覆盖率。将覆盖范围从30倍增加到50倍,等位基因频率估计的一致性至少提高了27%。我们得出的结论是,可以在不同的文库制备方法之间轻松组合Pool-Seq数据,但是足够的序列覆盖范围是获得可靠结果的关键。

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