Nielsen R
Department of Integrative Biology, University of California, Berkeley 94720-3140, USA.
Genetics. 1997 Jun;146(2):711-6. doi: 10.1093/genetics/146.2.711.
This paper presents a likelihood approach to population samples of microsatellite alleles. A Markov chain recursion method previously published by GRIFFITHS and TAVARE is applied to estimate the likelihood function under different models of microsatellite evolution. The method presented can be applied to estimate a fundamental population genetics parameter theta as well as parameters of the mutational model. The new likelihood estimator provides a better estimator of theta in terms of the mean square error than previous approaches. Furthermore, it is demonstrated how the method may easily be applied to test models of microsatellite evolution. In particular it is shown how to compare a one-step model of microsatellite evolution to a multi-step model by a likelihood ratio test.
本文提出了一种针对微卫星等位基因群体样本的似然方法。应用GRIFFITHS和TAVARE之前发表的马尔可夫链递归方法来估计微卫星进化不同模型下的似然函数。所提出的方法可用于估计一个基本的群体遗传学参数θ以及突变模型的参数。新的似然估计器在均方误差方面比以前的方法能更好地估计θ。此外，还展示了该方法如何能够轻松应用于检验微卫星进化模型。特别是通过似然比检验展示了如何将微卫星进化的单步模型与多步模型进行比较。
