Da Costa e Silva Luciano, Zeng Zhao-Bang
Department of Statistics, Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, USA.
J Biopharm Stat. 2010 Mar;20(2):454-81. doi: 10.1080/10543400903572845.
Tremendous progress has been made in recent years on developing statistical methods for mapping quantitative trait loci (QTL) from crosses of inbred lines. Most of the recent research is focused on strategies for mapping multiple-QTL and associated model selection procedures and criterion. We review the progress of research in this area on one trait and multiple traits by maximum likelihood and Bayesian methods.
近年来,在开发用于从近交系杂交中定位数量性状基因座(QTL)的统计方法方面取得了巨大进展。最近的大多数研究都集中在定位多个QTL的策略以及相关的模型选择程序和标准上。我们通过最大似然法和贝叶斯方法回顾了该领域在单性状和多性状研究方面的进展。