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Approximate Genealogies Under Genetic Hitchhiking
Author(s) -
Peter Pfaffelhuber,
Bernhard Haubold,
Anton Wakolbinger
Publication year - 2006
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1534/genetics.106.061887
Subject(s) - coalescent theory , biology , fixation (population genetics) , selective sweep , allele frequency , identity by descent , path (computing) , locus (genetics) , selection (genetic algorithm) , tree (set theory) , binary number , mathematics , combinatorics , allele , statistical physics , genetics , haplotype , physics , computer science , phylogenetic tree , artificial intelligence , gene , programming language , arithmetic
The rapid fixation of an advantageous allele leads to a reduction in linked neutral variation around the target of selection. The genealogy at a neutral locus in such a selective sweep can be simulated by first generating a random path of the advantageous allele's frequency and then a structured coalescent in this background. Usually the frequency path is approximated by a logistic growth curve. We discuss an alternative method that approximates the genealogy by a random binary splitting tree, a so-called Yule tree that does not require first constructing a frequency path. Compared to the coalescent in a logistic background, this method gives a slightly better approximation for identity by descent during the selective phase and a much better approximation for the number of lineages that stem from the founder of the selective sweep. In applications such as the approximation of the distribution of Tajima's D, the two approximation methods perform equally well. For relevant parameter ranges, the Yule approximation is faster.

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