Simonsen K L, Churchill G A, Aquadro C F
Center for Applied Math, Cornell University, Ithaca, New York 14853, USA.
Genetics. 1995 Sep;141(1):413-29. doi: 10.1093/genetics/141.1.413.
A class of statistical tests based on molecular polymorphism data is studied to determine size and power properties. The class includes Tajima's D statistic as well as the D* and F* tests proposed by Fu and Li. A new method of constructing critical values for these tests is described. Simulations indicate that Tajima's test is generally most powerful against the alternative hypotheses of selective sweep, population bottleneck, and population subdivision, among tests within this class. However, even Tajima's test can detect a selective sweep or bottleneck only if it has occurred within a specific interval of time in the recent past or population subdivision only when it has persisted for a very long time. For greatest power against the particular alternatives studied here, it is better to sequence more alleles than more sites.
研究了一类基于分子多态性数据的统计检验，以确定其大小和功效特性。该类别包括田岛氏D统计量以及傅和李提出的D和F检验。描述了一种为这些检验构建临界值的新方法。模拟表明，在该类别中的检验中，田岛氏检验通常对选择性清除、种群瓶颈和种群细分的备择假设最具功效。然而，即使是田岛氏检验，也只有在近期特定时间间隔内发生了选择性清除或瓶颈，或者种群细分持续了很长时间时，才能检测到。为了在此处研究的特定备择假设下获得最大功效，对更多等位基因进行测序比对更多位点进行测序更好。
