Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-26T08:23:27.382Z Has data issue: false hasContentIssue false
  • English
  • Français

The age of an allele in a finite population*

Published online by Cambridge University Press:  14 April 2009

Takeo Maruyama
Takeo Maruyama
Affiliation:
National Institute of Genetics, Mishima, Japan
Rights & Permissions [Opens in a new window]

Summary

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The age of an allele segregating in a finite population may be defined in two ways. They are (1) the age of a mutant gene that has never reached fixation in the population, and (2) the age including any fixation period in the past. Theoretical expressions for these are derived on the assumption that every mutant is unique.

Type
Research Article
Information
Genetics Research , Volume 23 , Issue 2 , April 1974 , pp. 137 - 143
Copyright
Copyright © Cambridge University Press 1974

References

REFERENCES

Ewens, W. J. (1969). Population Genetics. London: Methuen.CrossRefGoogle Scholar
Kimura, M. (1964). Diffusion models in population genetics. Journal of Applied Probability 1 177–232.Google Scholar
Kimura, M. (1969). The number of heterozygous nucleotide sites maintained in a finite population due to steady flux of mutations. Genetics 61, 893–903.Google Scholar
Kimura, M. & Ohta, T. (1969). The average number of generations until fixation of a mutant gene in a finite population. Genetics 61, 763–771.Google Scholar
Kimura, M. & Ohta, T. (1971). Theoretical Aspects of Population Genetics. Princeton, New Jersey: Princeton University Press.Google Scholar
Kimura, M. & Ohta, T. (1973). The age of a neutral mutant persisting in a finite population. Genetics 75, 199–212.CrossRefGoogle Scholar
Wright, S. (1938). The distribution of gene frequencies under irreversible mutation. Proceedings of the National Academy of Sciences, U.S.A. 24, 253–259.Google Scholar