title: [Maximum likelihood analysis for mapping dynamic trait QTL in outbred population II. Simulation].
abstract: Based on the maximum likelihood analysis principle for dynamic trait QTL mapping, selecting three orders Legendre polynomial as sub-model,the effects of the individual number, the frequency of test day,the marker density and heritability on detecting power are investigated by Monte-Carlo simulation. Each factor is divided into three levels such as the high,middle and low,the combinations of which are arranged by using orthologal design. The simulating result shows that the high heritability needs less number of individuals and frequency of test day than the low one, but the number of individuals of more than 300 and the frequency of test day of 5% above can guarantee sufficient detecting power no matter what the heritability is like. The number of individuals has almost the same effect as the frequency of test day in dynamic traits QTL mapping and the number of individuals and the frequency of test day compensate each other under the same size of samples. As to the QTL detection for a dynamic point,simulation indicates that the presented dynamic trait QTL mapping method that focuses on the whole dynamic process is significantly superior to the classical mapping methods on each individual dynamic point.
authors.affiliation: School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 201101, China. runqingyang@sjtu.edu.cn
authors.forename: Run-Qing
authors.initials: RQ
authors.lastname: Yang
authors.forename: Hui-Jiang
authors.initials: HJ
authors.lastname: Gao
authors.forename: Hua
authors.initials: H
authors.lastname: Sun
authors.forename: Xu
authors.initials: X
authors.lastname: Shizhong
mesh_terms: D006801:Humans; D016013:Likelihood Functions; D009010:Monte Carlo Method; D040641:Quantitative Trait Loci