Barbujani G
Department of Ecology and Evolution, State University of New York, Stony Brook 11794.
Genetics. 1987 Dec;117(4):777-82. doi: 10.1093/genetics/117.4.777.
Spatial autocorrelation statistics are used for description of geographic variation of gene frequencies, but the relationship of these indices with the parameters describing the genetic structure of populations is not established. A simple relation is derived here between kinship coefficient and a measure of spatial autocorrelation, Moran's I. The autocorrelation coefficient of gene frequencies at a given distance is a direct function of the kinship at that distance, and an inverse function of the standardized gene frequency variance, Fst. Under isolation by distance, the expected values of Moran's I for any allele may be calculated by means of Malécot-Morton function, which predicts an exponential decline of genetic similarity in space. This allows comparison of observed gene frequency patterns with the patterns that should be caused by interaction of short range migration and random genetic drift.
空间自相关统计用于描述基因频率的地理变异,但这些指标与描述种群遗传结构的参数之间的关系尚未确立。本文推导了亲缘系数与一种空间自相关度量指标——莫兰指数(Moran's I)之间的简单关系。给定距离处基因频率的自相关系数是该距离处亲缘关系的直接函数,也是标准化基因频率方差Fst的反函数。在距离隔离的情况下,任何等位基因的莫兰指数期望值可通过马勒科特 - 莫顿函数计算,该函数预测遗传相似性在空间上呈指数下降。这使得能够将观察到的基因频率模式与由短程迁移和随机遗传漂变相互作用所应导致的模式进行比较。