检测二倍体群体中的分化。
Testing differentiation in diploid populations.
作者信息
Goudet J, Raymond M, de Meeüs T, Rousset F
机构信息
Institute de Zoologie et d'Ecologie Animale, Université de Lausanne, Switzerland.
出版信息
Genetics. 1996 Dec;144(4):1933-40. doi: 10.1093/genetics/144.4.1933.
Abstract
We examine the power of different exact tests of differentiation for diploid populations. Since there is not necessarily random mating within populations, the appropriate hypothesis to construct exact tests is that of independent sampling of genotypes. There are two categories of tests, FST-estimator tests and goodness of fit tests. In this latter category, we distinguish "allelic statistics", which account for the nature of alleles within genotypes, from "genotypic statistics" that do not. We show that the power of FST-estimator tests and of allelic goodness of fit tests are similar when sampling is balanced, and higher than the power of genotypic goodness of fit tests. When sampling is unbalanced, the most powerful tests are shown to belong to the allelic goodness of fit group.
摘要
我们研究了针对二倍体群体的不同精确分化检验的效能。由于群体内部不一定存在随机交配，构建精确检验的合适假设是基因型的独立抽样。检验分为两类，即FST估计量检验和拟合优度检验。在后一类检验中，我们区分了考虑基因型内等位基因性质的“等位基因统计量”和不考虑的“基因型统计量”。我们表明，在抽样平衡时，FST估计量检验和等位基因拟合优度检验的效能相似，且高于基因型拟合优度检验的效能。当抽样不平衡时，最具效能的检验被证明属于等位基因拟合优度组。
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