Is microsatellite mutational asymmetry detectable in allele frequency distributions?

J. Swinton, B. Amos
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引用次数: 2

Abstract

We explore the mutational processes giving rise to microsatellite diversity by analysing allele lengths in 6045 human microsatellite markers drawn from the CEPH panel. Assuming a general mutation-drift process generating this diversity, the bias of the mutation distribution cannot be directly estimated from such data. However, inferences can still be made about the degree and sign of the asymmetry of the mutation distribution. We consider statistics based on moments of the observed length distribution, and derive their relevant analytical properties, showing that they have a high sampling variance. We conclude that moment estimators applied to allele length frequencies within the CEPH database could not be used to reject a null hypothesis of no bias even if bias was present. However, an order parameter does provide evidence of asymmetrically biased mutation: there is an unambiguous preponderance of alleles in which the shortest locus is the most frequent. It will be important to further characterize the sampling properties of such order parameters to estimate the magnitude of any mutation bias and the sensitivity of this estimation to the mutation model assumed.
微卫星突变不对称在等位基因频率分布中可检测到吗?
我们通过分析从CEPH面板中提取的6045个人类微卫星标记的等位基因长度来探索引起微卫星多样性的突变过程。假设产生这种多样性的一般突变漂移过程,突变分布的偏差不能直接从这些数据中估计出来。然而,仍然可以推断出突变分布的不对称程度和符号。我们考虑了基于观测长度分布矩的统计量,并推导了它们的相关解析性质,表明它们具有很高的抽样方差。我们的结论是,即使存在偏倚,应用于CEPH数据库中等位基因长度频率的矩估计器也不能用于拒绝无偏倚的零假设。然而,顺序参数确实提供了不对称偏倚突变的证据:在最短位点最常见的等位基因中存在明确的优势。进一步表征这些序参数的采样特性,以估计任何突变偏差的大小以及该估计对假设的突变模型的敏感性,将是很重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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