Abstract
Using the isolation-by-distance model as an example, we have examined several assumptions of spatial autocorrelation analysis applied to gene frequency surfaces. Gene frequency surfaces generated by a simulation of Wright's isolation-by-distance model were shown to exhibit spatial autocorrelation, except in the panmictic case. Identical stochastic generating processes result in surfaces with characteristics that are functions of the process parameters, such as parental vagility and neighborhood size. Differences in these parameters are detectable as differences in spatial autocorrelations after only a few generations of the simulations. Separate realizations of processes with identical parameters yield similar spatial correlograms. We have examined the inferences about population structure that could have been made from these observations if they had been real, rather than simulated, populations. From such inferences, we could have drawn conclusions about the presence of selection, migration and drift in given natural systems.
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Selected References
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- Mantel N. The detection of disease clustering and a generalized regression approach. Cancer Res. 1967 Feb;27(2):209–220. [PubMed] [Google Scholar]
- Morton N. E., Miki C., Yee S. Bioassay of population structure under isolation by distance. Am J Hum Genet. 1968 Sep;20(5):411–419. [PMC free article] [PubMed] [Google Scholar]
- Nei M., Imaizumi Y. Genetic structure of human populations. I. Local differentiation of blood group gene frequencies in Japan. Heredity (Edinb) 1966 Feb;21(1):9–35. doi: 10.1038/hdy.1966.2. [DOI] [PubMed] [Google Scholar]