Random partitions approximating the coalescence of lineages during a selective sweep
Random partitions approximating the coalescence of lineages during a selective sweep
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在选择性扫描过程中随机分区近似谱系的合并
DOI：
10.1214/105051605000000430
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发表时间：
2004
影响因子：
1.8
通讯作者：
R. Durrett
中科院分区：
文献类型：
--
作者：
Jason Schweinsberg;R. Durrett
当一个群体中发生有益的突变时，新的、受欢迎的等位基因可能会传播到整个群体。这一过程被称为选择性扫荡。假设我们在选择性扫描结束时对n个个体进行抽样。如果我们专注于染色体上靠近有益突变位置的位置，那么许多谱系很可能是具有有益突变的个体的后代，而另一些则会因为这两个位点之间的重组而来自不同的个体。我们介绍了选择性扫描的两种近似。第一个方法很简单，但不是很准确：抛出n个独立的硬币，概率为p个头，并说那些头朝上的硬币是那些带有有益突变的个体的后代。第二种近似法与Kingman的颜料盒结构有关，它用整数值随机变量来代替硬币的抛出，从而产生非常准确的结果。
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 dierent individual because of recombination between the two sites. We introduce two approximations for the eect 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.
影响因子：
3.3
作者：
K. Simonsen;G. Churchill;C. Aquadro
通讯作者：
K. Simonsen;G. Churchill;C. Aquadro