Journal of Applied Probability

On the height and length of the ancestral recombination graph

Pardoux Etienne and Salamat Majid

Source: J. Appl. Probab. Volume 46, Number 3 (2009), 669-689.

Abstract

The goal of this paper is to provide formulae for the expectation and variance of the height and length of the ancestral recombination graph (ARG). While the formula for the expectation of the height is known (see, e.g. Krone and Neuhauser (1997)), the other formulae seem to be new. We obtain in particular (see Theorem 4.1) a very simple formula which expresses the expectation of the length of the ARG as a linear combination of the expectations of both the length of the coalescent tree and the height of the ARG. Finally, we study the speed at which the ARG comes down from infinity.

Primary Subjects: 60J27
Secondary Subjects: 60G51, 92D10
Keywords: Wright--Fisher model; coalescent; recombination; ancestral recombination graph

Full-text: Access denied (no subscription detected)

We're sorry, but we are unable to provide you with the full text of this article because we are not able to identify you as a subscriber.
If you have a personal subscription to this journal, then please login. If you are already logged in, then you may need to update your profile to register your subscription. Read more about accessing full-text
Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.jap/1253279845
Digital Object Identifier: doi:10.1239/jap/1253279845
Zentralblatt MATH identifier: 05611411

References

Aldous, D. J. (1999). Deterministic and stochastic models for coalescence (aggregation and coagulation): a review of the mean-field theory for probabilists. Bernoulli 5, 3--48.
Mathematical Reviews (MathSciNet): MR1673235
Digital Object Identifier: doi:10.2307/3318611
Project Euclid: euclid.bj/1173707093
Cannings, C. (1974). The latent roots of certain Markov chains arising in genetics: a new approach. I. Haploid models. Adv. Appl. Prob. 6, 260--290.
Mathematical Reviews (MathSciNet): MR343949
Zentralblatt MATH: 0284.60064
Digital Object Identifier: doi:10.2307/1426293
Donnelly, P. (1991). Weak convergence to a Markov chain with an entrance boundary: ancestral processes in population genetics. Ann. Prob. 19, 1102--1117.
Mathematical Reviews (MathSciNet): MR1112408
Zentralblatt MATH: 0732.92014
Digital Object Identifier: doi:10.1214/aop/1176990336
Project Euclid: euclid.aop/1176990336
Griffiths, R. C. and Marjoram, P. (1996). Ancestral inference from samples of DNA sequences with recombination. J. Comput. Biol. 3, 479--502.
Griffiths, R. C. and Marjoram, P. (1997). An ancestral recombination graph. In Progress in Population Genetics and Human Evolution (IMA Vol. Math. Appl. 87), eds P. Donnelly and S. Tavaré, Springer, New York, pp. 257--270.
Mathematical Reviews (MathSciNet): MR1493031
Zentralblatt MATH: 0893.92020
Hein, J., Schierup, M. and Wiuf, C. (2004). Gene Genealogies, Variation and Evolution: A Primer in Coalescent Theory. Oxford University Press.
Mathematical Reviews (MathSciNet): MR2120677
Zentralblatt MATH: 1113.92048
Kingman, J. F. C. (1982). The coalescent. Stoch. Process. Appl. 13, 235--248.
Mathematical Reviews (MathSciNet): MR671034
Zentralblatt MATH: 0491.60076
Digital Object Identifier: doi:10.1016/0304-4149(82)90011-4
Krone, S. M. and Neuhauser, C. (1997). Ancestral processes with selection. Theoret. Pop. Biol. 51, 210--237.
Moran, P. A. (1958). A general theory of the distribution of gene frequencies. II. Non-overlapping generations. Proc. R. Soc. London B 149, 113--116.
Slater, L. J. (1966). Generalized Hypergeometric Functions. Cambridge University Press.
Mathematical Reviews (MathSciNet): MR201688
Zentralblatt MATH: 0135.28101
Stanley, R. P. (1999). Enumerative Combinatorics, Vol. 2. Cambridge University Press.
Mathematical Reviews (MathSciNet): MR1676282
Tavaré, S. (2004). Ancestral inference in population genetics. In Lectures on Probability Theory and Statistics (Lecture Notes Math. 1837), Springer, Berlin, pp. 1--188.
Mathematical Reviews (MathSciNet): MR2071630

2009 © Applied Probability Trust