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
Mentions: The SLOD and MLOD statistics combine the results across time points, by taking the average or the maximum LOD, respectively, at each genomic location. The results are in Figure 2, A and B. Horizontal lines indicate the 5% genome-wide significance thresholds, derived by a permutation test.
Affiliation: Department of Statistics, University of Wisconsin, Madison, Wisconsin 53706.