Rogers A R, Eriksson A W
Department of Anthropology, University of Utah, Salt Lake City 84112.
Am J Phys Anthropol. 1988 Dec;77(4):451-7. doi: 10.1002/ajpa.1330770406.
Statistical methods are introduced for analysis of the migration component of genetic drift, i.e., of the stochastic changes that affect allele frequencies during migration between local groups. Attention focuses on alpha M, a parameter that measures the extent to which this component of drift departs from the ideal of independent random sampling, and which can be interpreted as a measure of the extent to which migration is kin-structured. It is shown that alpha M can be estimated from genetic data, even in the absence of information about the genealogical relationships of migrants, and Monte-Carlo simulations are used to approximate the sampling distribution of the estimator under the null hypothesis of independent random sampling. Application of these methods to data from the Aland Islands, Finland, shows that the migration pattern there is consistent with the hypothesis of independent random sampling.
本文介绍了用于分析基因漂变中迁移成分的统计方法，即分析局部群体间迁移过程中影响等位基因频率的随机变化。重点关注αM，它是一个参数，用于衡量这种漂变成分偏离独立随机抽样理想状态的程度，并且可以解释为衡量迁移中亲缘结构程度的指标。结果表明，即使在没有关于移民谱系关系信息的情况下，也可以从遗传数据中估计αM，并且使用蒙特卡罗模拟来近似在独立随机抽样零假设下估计量的抽样分布。将这些方法应用于芬兰奥兰群岛的数据表明，那里的迁移模式与独立随机抽样假设一致。
