A diploid population model for copy number variation of genetic elements

IF 1.3 3区 数学 Q2 STATISTICS & PROBABILITY Electronic Journal of Probability Pub Date : 2022-04-23 DOI:10.1214/23-ejp934
P. Pfaffelhuber, A. Wakolbinger
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引用次数: 0

Abstract

We study the following model for a diploid population of constant size $N$: Every individual carries a random number of (genetic) elements. Upon a reproduction event each of the two parents passes each element independently with probability $\tfrac 12$ on to the offspring. We study the process $X^N = (X^N(1), X^N(2),...)$, where $X_t^N(k)$ is the frequency of individuals at time $t$ that carry $k$ elements, and prove convergence (in some weak sense) of $X^N$ jointly with its empirical first moment $Z^N$ to the ``slow-fast'' system $(Z,X)$, where $X_t = \text{Poi}(Z_t)$ and $Z$ evolves according to a critical Feller branching process. We discuss heuristics explaining this finding and some extensions and limitations.
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遗传元件拷贝数变异的二倍体群体模型
我们研究了以下恒定大小$N$的二倍体种群的模型:每个个体都携带随机数目的(遗传)元素。在繁殖事件中,两个亲本中的每一个都以概率$\trac 12$独立地将每个元素传递给后代。我们研究了过程$X^N=(X^N(1),X^N(2),…)$,其中$X_t^N(k)$是在时间$t$携带$k$元素的个体的频率,并证明$X^N$与其经验第一矩$Z^N$联合收敛于“慢-快”系统$(Z,X)$,其中$X_t=\text{Poi}(Z_t)$和$Z$根据关键的Feller分支过程演化。我们讨论了解释这一发现的启发式方法以及一些扩展和限制。
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来源期刊
Electronic Journal of Probability
Electronic Journal of Probability 数学-统计学与概率论
CiteScore
1.80
自引率
7.10%
发文量
119
审稿时长
4-8 weeks
期刊介绍: The Electronic Journal of Probability publishes full-size research articles in probability theory. The Electronic Communications in Probability (ECP), a sister journal of EJP, publishes short notes and research announcements in probability theory. Both ECP and EJP are official journals of the Institute of Mathematical Statistics and the Bernoulli society.
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