THE POISSON-SKIP MODEL OF CROSSING-OVER
成果类型：
Article
署名作者：
Lange, Kenneth; Zhao, Hongyu; Speed, Terence P.
署名单位：
University of Michigan System; University of Michigan; Yale University; University of California System; University of California Berkeley
刊物名称：
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN：
1050-5164
发表日期：
1997
页码：
299-313
关键词：
摘要：
The Poisson-skip model introduced in this paper generalizes the chi-quare model of crossover interference. Both models are constructed from the random points of a Poisson process occurring along a meiotic bundle of four chromatids. The points of the Poisson process are divided into X points and o points, with X points corresponding to crossovers. In the chi-square model, a fixed number of o points intervene between every adjacent pair of X points; in the Poisson-skip model, a random number of o points intervene. Both of these renewal models permit reasonably straightforward calculation of gamete and tetrad probabilities for multiple linked markers. We illustrate the data analysis possibilities of the Poisson-skip model by fitting it to classical recombination data on Drosophila, the mouse, and Neurospora. We also describe conditions on the discrete skip distribution that guarantee positive interference.