title: A tutorial of the poisson random field model in population genetics.
abstract: 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.
authors.affiliation: Department of Genetics, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
authors.forename: Praveen
authors.initials: P
authors.lastname: Sethupathy
authors.forename: Sridhar
authors.initials: S
authors.lastname: Hannenhalli