Zou Fei, Xu Zongli, Vision Todd
Department of Biostatistics, University of North Carolina, North Carolina 27599, USA.
Genetics. 2006 Oct;174(2):1063-8. doi: 10.1534/genetics.106.059469. Epub 2006 Aug 3.
Replicable populations, such as panels of recombinant inbred or doubled haploid lines, are convenient resources for the mapping of QTL. To increase mapping power, replications are often collected within each RI line and a common way to analyze such data is to include in the QTL model only a single measurement from each line that represents the average among the replicates (a line means model). An obvious, but seldom explored, alternative, is to include every replicate in the model (a full data model). Here, we use simulations to compare these two approaches. Further, we propose an extension of the standard permutation procedure that is required to correctly control the type I error in mapping populations with nested structure.
可复制群体，如重组自交系或加倍单倍体系，是用于数量性状基因座（QTL）定位的便捷资源。为了提高定位能力，通常会在每个重组自交系内收集重复数据，分析此类数据的常用方法是在QTL模型中仅包含来自每个系的单个测量值，该测量值代表重复测量的平均值（系均值模型）。一种明显但很少被探索的替代方法是在模型中包含每个重复测量值（全数据模型）。在此，我们通过模拟来比较这两种方法。此外，我们提出了标准置换程序的一种扩展方法，该方法对于正确控制具有嵌套结构的定位群体中的I型错误是必需的。
