Stochastic theory of population genetics

  • Takeo Maruyama
Article

Abstract

Stochastic models of population genetics are studied with special reference to the biological interest. Mathematical methods are described for treating some simple models and their modifications aimed at the problems of the molecular evolution. Unified theory for treating different quantities is extensively developed and applied to some typical problems of current interest in genetics. Mathematical methods for treating geographically structured populations are given. Approximation formulae and their accuracy are discussed. Some criteria are given for a structured population to behave almost like a panmictic population of the same total size. Some quantities are shown to be independent of the geographical structure and their dynamics are described.

Keywords

Population Genetic Sickle Cell Anemia Stochastic Differential Equation Gene Frequency Sample Path 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Society for Mathematical Biology 1983

Authors and Affiliations

  • Takeo Maruyama
    • 1
  1. 1.National Institute of GeneticsShizuokakenJapan

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