Pollak E
Am J Hum Genet. 1986 Feb;38(2):209-27.
Methods for estimating a mutation rate mu has been proposed by Kimura and Ohta; Nei; and Rothman and Adams. It is shown here that all three methods are best applied to rare alleles and that they are all based upon the assumption that all alleles ultimately become extinct. If there is a neutral allele in a growing population, there is conditioning on ultimate extinction, which implies that the underlying stochastic process can be approximated by a branching process for which the mean number of offspring is less than 1. The low numerical values of t0, the mean time to extinction of a line descended from a single mutant, found in two simulation studies, can be attributed to two features. First, the data on which these studies were based came from a fairly rapidly growing population. In such a population, we would expect that extinction, if it does occur, takes place quickly. A second factor is that the effective population size is somewhat lower than the actual number of adults. Population subdivision and migration does not seem to play a significant role. Conservative high and low estimates of mutation rates are computed, and an estimate is obtained for the standard deviation of the estimate of mu. These allow a rough estimate of a 95% confidence interval, which contains estimates of mu found by Neel and Rothman.
木村资生和太田朋子、内村有国以及罗斯曼和亚当斯都提出了估计突变率μ的方法。本文表明,这三种方法都最适用于稀有等位基因,并且它们都基于所有等位基因最终都会灭绝的假设。如果在一个不断增长的种群中有一个中性等位基因,那么就存在对最终灭绝的条件设定,这意味着潜在的随机过程可以用一个平均后代数量小于1的分支过程来近似。在两项模拟研究中发现的t0(即从单个突变体衍生而来的一条线的平均灭绝时间)的低数值可归因于两个特征。首先,这些研究所依据的数据来自一个增长相当迅速的种群。在这样的种群中,如果确实发生灭绝,我们会预期其发生得很快。第二个因素是有效种群大小略低于实际成年个体数量。种群细分和迁移似乎没有起到显著作用。计算了突变率的保守高估值和低估值,并得到了μ估计值的标准差估计。这些使得能够粗略估计一个95%的置信区间,该区间包含了尼尔和罗斯曼发现的μ估计值。