A simple regression-based method to map quantitative trait loci underlying function-valued phenotypes.
Bottom Line: However, multiple phenotypes are commonly measured, and recent technological advances have greatly simplified the automated acquisition of numerous phenotypes, including function-valued phenotypes, such as growth measured over time.While methods exist for QTL mapping with function-valued phenotypes, they are generally computationally intensive and focus on single-QTL models.After identifying multiple QTL by these approaches, we can view the function-valued QTL effects to provide a deeper understanding of the underlying processes.
Affiliation: Department of Statistics, University of Wisconsin, Madison, Wisconsin 53706.Show MeSH
Related in: MedlinePlus
Mentions: To further characterize the effects of the QTL in the context of the inferred multiple-QTL models, we fitted the selected multiple-QTL models at each time point, individually. For the models derived by the penalized-SLOD and penalized-MLOD criteria, the estimated baseline function and the estimated QTL effects, as a function of time, are shown in Figure 4. The estimated QTL effects in Figure 4, B–D, are for the difference between the Cvi allele and the Ler allele.
Affiliation: Department of Statistics, University of Wisconsin, Madison, Wisconsin 53706.