Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA.
Heredity (Edinb). 2011 Feb;106(2):357-69. doi: 10.1038/hdy.2010.77. Epub 2010 Jun 16.
The MCMC procedure in SAS (called PROC MCMC) is particularly designed for Bayesian analysis using the Markov chain Monte Carlo (MCMC) algorithm. The program is sufficiently general to handle very complicated statistical models and arbitrary prior distributions. This study introduces the SAS/MCMC procedure and demonstrates the application of the program to quantitative trait locus (QTL) mapping. A real life QTL mapping experiment in wheat female fertility trait was used as an example for the demonstration. The fertility trait phenotypes were described under three different models: (1) the Poisson model, (2) the Bernoulli model and (3) the zero-truncated Poisson model. One QTL was identified on the second chromosome. This QTL appears to control the switch of seed-producing ability of female plants but does not affect the number of seeds produced once the switch is turned on.
SAS 中的 MCMC 过程（称为 PROC MCMC）是专门为使用马尔可夫链蒙特卡罗（MCMC）算法进行贝叶斯分析而设计的。该程序非常通用，可以处理非常复杂的统计模型和任意先验分布。本研究介绍了 SAS/MCMC 过程，并演示了该程序在数量性状基因座（QTL）作图中的应用。以小麦雌性育性性状的真实 QTL 作图实验为例进行了演示。使用三种不同模型描述了育性性状表型：（1）泊松模型，（2）伯努利模型和（3）零截断泊松模型。在第二号染色体上鉴定到一个 QTL。该 QTL 似乎控制了雌性植物产生种子能力的开关，但一旦开关打开，它不会影响产生的种子数量。
