Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-27T06:20:41.215Z Has data issue: false hasContentIssue false

On the genealogy of large populations

Published online by Cambridge University Press:  14 July 2016

Abstract

A new Markov chain is introduced which can be used to describe the family relationships among n individuals drawn from a particular generation of a large haploid population. The properties of this process can be studied, simultaneously for all n, by coupling techniques. Recent results in neutral mutation theory are seen as consequences of the genealogy described by the chain.

Type
Part 1 — Genetics
Copyright
Copyright © 1982 Applied Probability Trust 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ewens, W. J. (1972) The sampling theory of selectively neutral alleles. Theoret. Popn Biol. 3, 87112 and 376.CrossRefGoogle ScholarPubMed
Ewens, W. J. (1979) Mathematical Population Genetics. Springer-Verlag, Berlin.Google Scholar
Felsenstein, J. (1975) A pain in the torus: some difficulties with models of isolation by distance. Amer. Naturalist 109, 359368.Google Scholar
Fleischmann, K. and Siegmund-Schultze, R. (1978) An invariance principle for reduced family trees of critical spatially homogeneous branching processes. Serdica 4, 111134.Google Scholar
Kallenberg, O. (1977) Stability of critical cluster fields. Math. Nachr. 77, 743.CrossRefGoogle Scholar
Kendall, D. G. (1975) Some problems in mathematical genealogy. In Perspectives in Probability and Statistics , ed. Gani, J., Distributed by Academic Press, London for the Applied Probability Trust, Sheffield, 325345.Google Scholar
Kerstan, J., Matthes, K. and Mecke, J. (1978) Infinitely Divisible Point Processes. Wiley, Chichester.Google Scholar
Kesten, H. (1980) The number of distinguishable alleles according to the Ohta-Kimura model of neutral mutation. J. Math. Biol. 10, 167187.Google Scholar
Kimura, M. and Ohta, T. (1978) Stepwise mutation model and distribution of allelic frequencies in a finite population. Proc. Nat. Acad. Sci. 75, 28682872.CrossRefGoogle Scholar
Kingman, J. F. C. (1976) Coherent random walks arising in some genetical models. Proc. R. Soc. London A 351, 1931.Google Scholar
Kingman, J. F. C. (1978a) Random partitions in population genetics. Proc. R. Soc. London A 361, 120.Google Scholar
Kingman, J. F. C. (1978b) The representation of partition structures. J. Lond. Math. Soc. 18, 374380.CrossRefGoogle Scholar
Kingman, J. F. C. (1978c) The dynamics of neutral mutation. Proc. R. Soc. London A 363, 135146.Google Scholar
Kingman, J. F. C. (1980) Mathematics of Genetic Diversity. Society for Industrial and Applied Mathematics, Washington.Google Scholar
Malecot, G. (1969) The Mathematics of Heredity. Freeman, San Francisco.Google Scholar
Meyer, P. A. (1966) Probabilités et Potentiel. Hermann, Paris.Google Scholar
Moran, P. A. P. (1958) Random processes in genetics. Proc. Camb. Phil. Soc. 54, 6072.CrossRefGoogle Scholar
Moran, P. A. P. (1975) Wandering distributions and the electrophoretic profile. Theoret. Popn Biol. 8, 318330.CrossRefGoogle ScholarPubMed
Nelson, E. (1959) Regular probability measures on function space. Ann. Math. 69, 630643.CrossRefGoogle Scholar
Ohta, T. and Kimura, M. (1973) A model of mutation appropriate to estimate the number of electrophoretically detectable alleles in a finite population. Genet. Res. 22, 201204.CrossRefGoogle Scholar
Rosenblatt, M. (1974) Random Processes. Springer-Verlag, New York.CrossRefGoogle Scholar
Sawyer, S. (1977) Asymptotic properties of the equilibrium probability of identity in a geographically structured population. Adv. Appl. Prob. 9, 268282.Google Scholar
Singh, K. S., Lewontin, R. C. and Felton, A. A. (1976) Genetic heterogeneity within electrophoretic ‘alleles’ of xanthine dehydrogenase in Drosophila pseudoobscura. Genetics 84, 609629.CrossRefGoogle ScholarPubMed
Wachter, K. W., Hammel, ?. A. and Laslett, P. (1978) Statistical Studies of Historical Social Structure. Academic Press, New York.Google Scholar