Zou F, Yandell B S, Fine J P
Department of Statistics, University of Wisconsin, Madison, Wisconsin 53706, USA.
Genetics. 2001 Jul;158(3):1339-46. doi: 10.1093/genetics/158.3.1339.
We consider some practical statistical issues in QTL analysis where several crosses originate in multiple inbred parents. Our results show that ignoring background polygenic variation in different crosses may lead to biased interval mapping estimates of QTL effects or loss of efficiency. Threshold and power approximations are derived by extending earlier results based on the Ornstein-Uhlenbeck diffusion process. The results are useful in the design and analysis of genome screen experiments. Several common designs are evaluated in terms of their power to detect QTL.
我们考虑了数量性状基因座（QTL）分析中的一些实际统计问题，其中多个杂交组合源自多个近交亲本。我们的结果表明，忽略不同杂交组合中的背景多基因变异可能导致QTL效应的区间定位估计出现偏差或效率损失。通过扩展基于奥恩斯坦-乌伦贝克扩散过程的早期结果，得出了阈值和功效近似值。这些结果对基因组筛选实验的设计和分析很有用。根据检测QTL的能力对几种常见设计进行了评估。
