2004/11/03 by Jason Schweinsberg, Rick Durrett, Schweinsberg, Jason +1
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #92D10 #Algorithms and Data Compression #Evolution and Genetic Dynamics #FOS: Biological sciences #FOS: Mathematics #Gene expression and cancer classification #Populations and Evolution (q-bio.PE) #Probability (math.PR) #math.PR #msc:92D10 #q-bio.PE
paper · pdf · doi:10.48550/arxiv.math/0411069
openalex publication_date 2004/11/03 · arxiv created 2005/05/03 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
When a beneficial mutation occurs in a population, the new, favored allele may spread to the entire population. This process is known as a selective sweep. Suppose we sample n individuals at the end of a selective sweep. If we focus on a site on the chromosome that is close to the location of the beneficial mutation, then many of the lineages will likely be descended from the individual that had the beneficial mutation, while others will be descended from a different individual because of recombination between the two sites. We introduce two approximations for the effect of a selective sweep. The first one is simple but not very accurate: flip n independent coins with probability p of heads and say that the lineages whose coins come up heads are those that are descended from the individual with the beneficial mutation. A second approximation, which is related to Kingman's paintbox construction, replaces the coin flips by integer-valued random variables and leads to very accurate results.