Using maximum likelihood to estimate population size from temporal changes in allele frequencies.
Using maximum likelihood to estimate population size from temporal changes in allele frequencies.
复制标题
使用最大似然根据等位基因频率的时间变化来估计种群大小。
DOI：
10.1093/genetics/152.2.755
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发表时间：
1999
期刊：
影响因子：
3.3
通讯作者：
Slatkin,M
中科院分区：
文献类型：
--
作者：
Williamson,EG;Slatkin,M
我们开发了一个最大似然框架，利用等位基因频率的时间变化来估计种群中育种个体的数量。我们使用模拟的方差有效人口规模的F-统计量估计的性能进行比较。最大似然估计量具有较低的方差和较小的偏差。利用似然框架，我们扩展了模型，包括指数增长，并表明，时间等位基因频率数据从三个或更多的采样事件可以用来测试人口增长。
We develop a maximum-likelihood framework for using temporal changes in allele frequencies to estimate the number of breeding individuals in a population. We use simulations to compare the performance of this estimator to an F-statistic estimator of variance effective population size. The maximum-likelihood estimator had a lower variance and smaller bias. Taking advantage of the likelihood framework, we extend the model to include exponential growth and show that temporal allele frequency data from three or more sampling events can be used to test for population growth.