A statistical test for detecting geographic subdivision.
A statistical test for detecting geographic subdivision.
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DOI：
10.1093/oxfordjournals.molbev.a040703
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发表时间：
1992
影响因子：
10.7
通讯作者：
R. Hudson;D. Boos;N. Kaplan
中科院分区：
文献类型：
--
作者：
R. Hudson;D. Boos;N. Kaplan
描述了一种利用来自两个或多个地点的DNA序列样本的分子变异来检测子群体的遗传分化的统计检验。通过蒙特卡罗模拟确定了测试的统计意义。在选择性中性的Wright-Fisher岛模型中，检测遗传分化的测试能力取决于样本大小和迁移、突变和重组的速度。结果发现，当样本大小为50，当4 nm小于10时，检验的能力是显著的，其中N是子总体大小，m是每一代每个子总体中的迁徙比例。有重组的基因比没有重组的基因获得了更有效的测试。
A statistical test for detecting genetic differentiation of subpopulations is described that uses molecular variation in samples of DNA sequences from two or more localities. The statistical significance of the test is determined with Monte Carlo simulations. The power of the test to detect genetic differentiation in a selectively neutral Wright-Fisher island model depends on both sample size and the rates of migration, mutation, and recombination. It is found that the power of the test is substantial with samples of size 50, when 4Nm less than 10, where N is the subpopulation size and m is the fraction of migrants in each subpopulation each generation. More powerful tests are obtained with genes with recombination than with genes without recombination.