Tang H K, Siegmund D
Department of Statistics, 390 Serra Mall, Sequoia Hall, Stanford University, Stanford, CA 94305-4065, USA.
Biostatistics. 2001 Jun;2(2):147-62. doi: 10.1093/biostatistics/2.2.147.
We discuss strategies for mapping quantitative trait loci with emphasis on certain issues of study design that have recently received attention: e.g. genotyping only selected pedigrees and the comparative value of large pedigrees versus sib pairs. We use a standard variance components model and a parametrization of the genetic effects in which the 'segregation' parameters are locally orthogonal to the 'linkage' parameters. This permits simple explicit expressions for the expectation of the score statistic, which we use to compare the power of different strategies. We also discuss robustness of the score statistic.
我们讨论了用于定位数量性状基因座的策略，重点关注近期受到关注的某些研究设计问题：例如，仅对选定的家系进行基因分型，以及大型家系与同胞对的比较价值。我们使用标准方差成分模型和遗传效应的一种参数化方法，其中“分离”参数与“连锁”参数局部正交。这使得得分统计量的期望值有简单明确的表达式，我们用它来比较不同策略的功效。我们还讨论了得分统计量的稳健性。
