修正

IF 1.7 Q2 POLITICAL SCIENCE
B. Kushner
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引用次数: 0

摘要

在我第一次提交这封决定信后,我意识到我在以下第7和第8项中犯了一个错误。我在开头部分纠正了这个错误,然后继续原来提交的决定书,错误等等。先前的版本声称基因型的可能性是二项式的。但由于误差()随测序读数的不同而不同,观察到参考等位基因的概率(p)也不同,而且可能性不是二项式的。要在没有近似的情况下计算它,需要在每个杂合基因型的两个等位基因之间划分C读数的所有方法中求和。即使在二倍体的情况下,避免这个总和也需要近似值。例如,考虑李等人的模型。[2008,第1节和补充材料的方程9-11]。他们的方法与当前手稿的方法相似,因为它通过单个核苷酸位点的测序读数来估计每个基因型,而不是从几个连接位点来估计。它的不同之处在于它只处理二倍体。为了避免跨分区求和,这些作者使用完全忽略测序误差的二项式公式来近似杂合基因型的可能性。在Sorragi等人的手稿中,核心问题是补充材料第1.2节在文本和方程中都缺乏清晰度。除了我在下面提出的几点之外,我还要补充一点,我们需要讨论一些用于避免分区上的和的近似值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correction
After my initial submission of this decision letter, I realized I had made a mistake in items 7 and 8 below. I correct this mistake in this opening section and then continue with the decision letter as originally submitted, mistakes and all. The previous version claimed that the genotype likelihood is binomial. But because error ( ) varies among sequencing reads, the probability (p) of observing the reference allele also varies, and the likelihood is not binomial. To calculate it without approximations, one would need to sum across all ways of partitioning the C reads among the two alleles of each heterozygous genotype. Avoiding this sum requires approximations, even in the diploid case. For example, consider the model of Li et al. [2008, sec 1 and Eqns. 9–11 of Supplementary Materials]. Their approach is similar to that of the current manuscript in that it estimates each genotype from sequencing reads at an individual nucleotide site, rather than from several linked sites. It differs in that it deals only with diploids. To avoid summing across partitions, those authors approximate the likelihood of heterozygote genotypes using a binomial formula that ignores sequencing error altogether. In the manuscript of Sorragi et al, the central problem is a lack of clarity in section 1.2 of Supplementary Materials, both in the text and in the equations. In addition to the points I make below, I would add that we need some discussion of the approximations used to avoid the sum over partitions.
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来源期刊
Regional and Federal Studies
Regional and Federal Studies POLITICAL SCIENCE-
CiteScore
3.80
自引率
21.40%
发文量
33
期刊介绍: The upsurge of academic and political interest in regional and federal questions since the 1980s has been stimulated by the salience of regions in EU policy-making and the Structural Funds but also by regionalization and federalization processes in many Western states. The most striking example is the devolution occurring in the UK, but the process is at work all over Europe and in other parts of the world. These developments have led to many important research programmes and projects. Regional and Federal Studies is a refereed social science journal which provides an academic forum for the publication of international research on these issues. It is essential reading for both academics and practitioners in politics, administration and the business world.
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