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首页> 外文期刊>Genomics >Applying polynomial standard curve method to correct bias encountered in estimating allele frequencies using DNA pooling strategy.
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Applying polynomial standard curve method to correct bias encountered in estimating allele frequencies using DNA pooling strategy.

机译：应用多项式标准曲线方法来校正使用DNA合并策略估算等位基因频率时遇到的偏差。

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摘要

DNA pooling approach is a cost-saving strategy which is crucial for multiple-SNP association study and particularly for laboratories with limited budget. However, the biased allele frequency estimates cannot be completely abolished by kappa correction. Using the SNaPshottrade mark, we systematically examined the relations between actual minor allele frequencies (AMiAFs) levels and estimates obtained from the pooling process for all six types of SNPs. We applied principle of polynomial standard curves method (PSCM) to produce allele frequency estimates in pooled DNA samples and compared it with the kappa method. The results showed that estimates derived from the PSCM were in general closer to AMiAFs than those from the kappa method, particularly for C/G and G/T polymorphisms at the range of AMiAF between 20-40%. We demonstrated that applying PSCM in the SNaPshottrade mark platform is suitable for multiple-SNP association study using pooling strategy, due to its cost effectiveness and estimation accuracy.
机译：DNA合并方法是一种节省成本的策略，对于多重SNP关联研究，尤其是对于预算有限的实验室而言，至关重要。但是，有偏差的等位基因频率估计不能通过kappa校正完全消除。使用SNaPshottrade标记，我们系统地检查了实际的次要等位基因频率（AMiAFs）水平与从所有六种SNP的合并过程中获得的估计值之间的关系。我们应用多项式标准曲线法（PSCM）的原理在合并的DNA样本中产生等位基因频率估计值，并将其与kappa方法进行比较。结果表明，从PSCM得出的估计值通常比从kappa方法得到的估计值更接近AMiAF，尤其是对于C / G和G / T多态性，在AMiAF范围为20％至40％之间。我们证明将PSCM应用到SNaPshottrade标记平台中由于其成本效益和估计准确性而适合使用合并策略进行多SNP关联研究。

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