Comparison of Two Statistical Methods for Detecting Quantitative Trait Genes

摘要：

Methods based on classical linear regression models and maximum likelihood principles have been well studied in the detection of quantitative trait genes or loci (QTL). Recently,Bayesian models have gained some popularity among theoreticians, which result in publication of many papers. Empirical Bayesian (E-Bayes) method is one of the latest Bayesian models. In this paper, we compare by extensive simulations the E-Bayes method with inclusive composite interval mapping (ICIM), which was proposed to improve the algorithm of traditional composite interval mapping. The results indicated that E-Bayes have no significant advantages,compared with ICIM,although E-Bayes saved a lot of computation time compared with the classic Bayesian model.

关键词： quantitative trait locus or loci (QTL) inclusive composite interval mapping (ICIM) empirical Bayesian mapping (E-Bayes), power analysis

作者: Huihui Li Zhonglai Li Jiankang Wang

作者单位: School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China;Institute of Crop School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China, Institute of Crop Science,CIMMYT China Office,and The National Key Facility for Crop Gene Resources

会议类型: 国际会议

会议名称: The 1st International ELID-Grinding Conference(第一届镜面磨削技术国际会议)

会议地点: 长沙

会议语种:英文

页码: 212-218

在线出版日期: 2008-06-12（万方平台首次上网日期，不代表论文的发表时间）