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赖特-费希尔扩散桥

Wright-Fisher diffusion bridges.

作者信息

Griffiths Robert C, Jenkins Paul A, Spanò Dario

机构信息

Department of Statistics, University of Oxford, United Kingdom.

Department of Statistics, University of Warwick, United Kingdom; Department of Computer Science, University of Warwick, United Kingdom.

出版信息

Theor Popul Biol. 2018 Jul;122:67-77. doi: 10.1016/j.tpb.2017.09.005. Epub 2017 Oct 6.

Abstract

The trajectory of the frequency of an allele which begins at x at time 0 and is known to have frequency z at time T can be modelled by the bridge process of the Wright-Fisher diffusion. Bridges when x=z=0 are particularly interesting because they model the trajectory of the frequency of an allele which appears at a time, then is lost by random drift or mutation after a time T. The coalescent genealogy back in time of a population in a neutral Wright-Fisher diffusion process is well understood. In this paper we obtain a new interpretation of the coalescent genealogy of the population in a bridge from a time t∈(0,T). In a bridge with allele frequencies of 0 at times 0 and T the coalescence structure is that the population coalesces in two directions from t to 0 and t to T such that there is just one lineage of the allele under consideration at times 0 and T. The genealogy in Wright-Fisher diffusion bridges with selection is more complex than in the neutral model, but still with the property of the population branching and coalescing in two directions from time t∈(0,T). The density of the frequency of an allele at time t is expressed in a way that shows coalescence in the two directions. A new algorithm for exact simulation of a neutral Wright-Fisher bridge is derived. This follows from knowing the density of the frequency in a bridge and exact simulation from the Wright-Fisher diffusion. The genealogy of the neutral Wright-Fisher bridge is also modelled by branching Pólya urns, extending a representation in a Wright-Fisher diffusion. This is a new very interesting representation that relates Wright-Fisher bridges to classical urn models in a Bayesian setting.

摘要

一个等位基因在时间0时频率为x,在时间T时频率为z,其频率轨迹可以用赖特 - 费希尔扩散的桥过程来建模。当x = z = 0时的桥特别有趣,因为它们模拟了一个等位基因的频率轨迹,该等位基因在某一时刻出现,然后在时间T后因随机漂变或突变而消失。在中性赖特 - 费希尔扩散过程中,种群随时间回溯的合并谱系是广为人知的。在本文中,我们从时间t∈(0,T)对种群在桥中的合并谱系获得了一种新的解释。在时间0和T时等位基因频率为0的桥中,合并结构是种群从t到0和从t到T两个方向合并,使得在时间0和T时所考虑的等位基因只有一个谱系。具有选择的赖特 - 费希尔扩散桥中的谱系比中性模型更复杂,但仍然具有种群从时间t∈(0,T)向两个方向分支和合并的性质。等位基因在时间t的频率密度以一种显示在两个方向合并的方式表达。推导了一种用于精确模拟中性赖特 - 费希尔桥的新算法。这是通过知道桥中频率的密度以及从赖特 - 费希尔扩散进行精确模拟得出的。中性赖特 - 费希尔桥的谱系也由分支波利亚瓮建模,扩展了赖特 - 费希尔扩散中的一种表示。这是一种新的非常有趣的表示,它在贝叶斯框架下将赖特 - 费希尔桥与经典瓮模型联系起来。

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