F_(2:3)设计全基因组标记的Bayesian分析

Bayesian Analysis of All Markers on the Entire Genome in the F_(2:3) Design

数量性状的遗传率低时,常采用F2:3设计进行遗传分析,但往往忽略异质家系内QTL的混合分布特性。同时,用多QTL模型检测QTL会提高QTL检测的功效。因此,本文在利用F2:3设计异质F2:3家系内QTL混合分布特性基础上,提出F2:3设计全基因组多标记联合分析新方法。该方法充分利用了异质F2:3家系内的QTL混合分布,并采用多QTL遗传模型。Monte Carlo模拟研究表明,新方法能获得精确的QTL效应和位置的估计。此外,还比较了QTL效应抽样的两种策略。研究表明,新策略能显著提高QTL检测的功效。

In the inheritance analysis of quantitative traits with relatively low heritability, the precision is relatively low. In this situation, an F2：3 design, which is genotyped in F2 plants and phenotyped in the F2：3 progeny, is applied to increase the precision in the detection of quantitative trait loci （QTL） . However, there are two issues needed to he further considered. One is to take full advantage of the mixture distribution for F2：3 families of heterozygous F2 plants, and the other to adopt muhi-QTL genetic model. In this article, therefore, we extended our previous method from a single-QTL genetic analysis to joint analysis of all markers on the entire genome in the F2：3 design. The proposed method here is on the basis of multi-QTL genetic model, and also takes full advantage of the mixture distribution mentioned above. Results of simulated studies showed that the new method provides accurate estimates for both the effects and the positions of QTL. Moreover, two strategies for sampling QTL effects were compared and the new one is better than the old one. In conclusion, the new method may he more suitable for mapping QTL for complex traits with low heritahility.