期刊
STOCHASTIC PROCESSES AND THEIR APPLICATIONS
卷 115, 期 10, 页码 1628-1657出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.spa.2005.04.009
关键词
coalescence; selective sweep; genealogy; Tajima's D-statistic
When an advantageous mutation occurs in a population, the favorable allele may spread to the entire population in a short time, an event known as a selective sweep. As a result, when we sample n individuals from a population and trace their ancestral lines backwards in time, many lineages may coalesce almost instantaneously at the time of a selective sweep. We show that as the population size goes to infinity, this process converges to a coalescent process called a coalescent with multiple collisions. A better approximation for finite populations can be obtained using a coalescent with simultaneous multiple collisions. We also show how these coalescent approximations can be used to get insight into how beneficial mutations affect the behavior of statistics that have been used to detect departures from the usual Kingman's coalescent. (c) 2005 Elsevier B.V. All rights reserved.
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