Cui Yuehua, Wu Rongling
Department of Statistics, University of Florida, Gainesville, FL 32611, USA.
Genet Res. 2005 Aug;86(1):65-75. doi: 10.1017/S0016672305007615.
To study the effects of maternal and endosperm quantitative trait locus (QTL) interaction on endosperm development, we derive a two-stage hierarchical statistical model within the maximum-likelihood context, implemented with an expectation-maximization algorithm. A model incorporating both maternal and offspring marker information can improve the accuracy and precision of genetic mapping. Extensive simulations under different sampling strategies, heritability levels and gene action modes were performed to investigate the statistical properties of the model. The QTL location and parameters are better estimated when two QTLs are located at different intervals than when they are located at the same interval. Also, the additive effect of the offspring QTLs is better estimated than the additive effect of the maternal QTLs. The implications of our model for agricultural and evolutionary genetic research are discussed.
为了研究母体和胚乳数量性状基因座（QTL）相互作用对胚乳发育的影响，我们在最大似然框架内推导了一个两阶段分层统计模型，并通过期望最大化算法实现。一个同时纳入母体和后代标记信息的模型可以提高基因定位的准确性和精度。我们进行了不同抽样策略、遗传力水平和基因作用模式下的广泛模拟，以研究该模型的统计特性。当两个QTL位于不同区间时，比它们位于相同区间时，QTL的定位和参数能得到更好的估计。此外，后代QTL的加性效应比母体QTL的加性效应能得到更好的估计。我们还讨论了该模型对农业和进化遗传学研究的意义。
