期刊
MAMMALIAN GENOME
卷 18, 期 2, 页码 87-93出版社
SPRINGER
DOI: 10.1007/s00335-006-0090-y
关键词
-
资金
- NIGMS NIH HHS [GM070683, GM060457, GM074244, R01 GM074244-04, R01 GM074244] Funding Source: Medline
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.
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