A tutorial of the poisson random field model in population genetics.
A tutorial of the poisson random field model in population genetics.
复制标题
人口遗传学中泊松随机场模型的教程。
DOI：
10.1155/2008/257864
复制
发表时间：
2008
影响因子：
--
通讯作者：
Hannenhalli S
中科院分区：
文献类型：
--
作者：
Sethupathy P;Hannenhalli S
群体遗传学是研究由各种进化力量驱动的等位基因频率变化，如突变，自然选择和随机遗传漂变。虽然自然选择被广泛认为是一种真实的现象，但它在多大程度上推动了进化仍然不清楚，也存在争议。各种定性技术，或所谓的“中性测试”，已被引入到检测自然选择的签名。15年前，Stanley索耶和丹尼尔·哈特尔（Daniel Hartl）提出了一个数学框架，称为泊松随机场（Poisson random field，PRF），用它来定量确定特定基因或基因组区域的选择强度。最近大规模的遗传多态性数据的可用性引发了广泛的兴趣，在全基因组的自然选择调查。为此，原始的PRF模型对遗传学家和进化基因组学家特别感兴趣。在这篇文章中，我们将提供原始索耶和Hartl PRF模型的数学推导教程。
Population genetics is the study of allele frequency changes driven by various evolutionary forces such as mutation, natural selection, and random genetic drift. Although natural selection is widely recognized as a bona-fide phenomenon, the extent to which it drives evolution continues to remain unclear and controversial. Various qualitative techniques, or so-called “tests of neutrality”, have been introduced to detect signatures of natural selection. A decade and a half ago, Stanley Sawyer and Daniel Hartl provided a mathematical framework, referred to as the Poisson random field (PRF), with which to determine quantitatively the intensity of selection on a particular gene or genomic region. The recent availability of large-scale genetic polymorphism data has sparked widespread interest in genome-wide investigations of natural selection. To that end, the original PRF model is of particular interest for geneticists and evolutionary genomicists. In this article, we will provide a tutorial of the mathematical derivation of the original Sawyer and Hartl PRF model.