Advances on Statistic Model for Functional Mapping of Quantitative Trait Loci
Functional mapping of quantitative trait loci (QTL) has embedded the biological mechanisms and processes of dynamic traits in the statistical method of QTL mapping. A maximum likelihood approach based on a Von Bertalanfrys growth equation mixture model, implemented with EM algorithm, was developed to provide the estimates of QTL positions, QTL effects, and other model parameters responsible for growth trajectories. According to the results of a large number of simulations by Monta Carlo method, we can infer that the estimation precision of the QTL effects and position is dependent on dimensions of measured variable, sample size and heritability. At last we use an example to demonstrate the validation of our functional mapping method.
Quantitative Trait Loci Maximum likelihood EM Algorithm simulation
SHEN Jing LIN Zhen-Shan
College of geography science, Nanjing Normal University, Nanjing 210046 Nanjing Forestry University College of geography science, Nanjing Normal University, Nanjing 210046
国际会议
The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)
无锡
英文
415-418
2010-06-04（万方平台首次上网日期，不代表论文的发表时间）