R/qtlDesign：近交系杂交实验设计。
R/qtlDesign: inbred line cross experimental design.
作者信息
Sen Saunak, Satagopan Jaya M, Broman Karl W, Churchill Gary A
机构信息
Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California 94143, USA.
出版信息
Mamm Genome. 2007 Feb;18(2):87-93. doi: 10.1007/s00335-006-0090-y. Epub 2007 Mar 8.
An investigator planning a QTL (quantitative trait locus) experiment has to choose which strains to cross, the type of cross, genotyping strategies, and the number of progeny to raise and phenotype. To help make such choices, we have developed an interactive program for power and sample size calculations for QTL experiments, R/qtlDesign. Our software includes support for selective genotyping strategies, variable marker spacing, and tools to optimize information content subject to cost constraints for backcross, intercross, and recombinant inbred lines from two parental strains. We review the impact of experimental design choices on the variance attributable to a segregating locus, the residual error variance, and the effective sample size. We give examples of software usage in real-life settings. The software is available at http://www.biostat.ucsf.edu/sen/software.html .
计划进行数量性状基因座（QTL）实验的研究人员必须选择要杂交的品系、杂交类型、基因分型策略，以及要培育和进行表型分析的后代数量。为了帮助做出此类选择，我们开发了一个用于QTL实验功效和样本量计算的交互式程序R/qtlDesign。我们的软件支持选择性基因分型策略、可变标记间距，以及在成本限制下优化回交、杂交和来自两个亲本品系的重组自交系的信息含量的工具。我们回顾了实验设计选择对可归因于分离位点的方差、残差误差方差和有效样本量的影响。我们给出了该软件在实际应用中的使用示例。该软件可在http://www.biostat.ucsf.edu/sen/software.html获取。
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