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 estimated power to detect the QTL as a function of heritability due to the QTL, for n = 100, 200, 400 and for the three different covariance structures, is shown in Figure 5. With the autocorrelated variance structure, all methods other than the parametric approach gave similar power. With the equicorrelated variance structure, EE(Wald) had higher power than the other four methods, and the parametric approach was second best. In the unstructured variance setting, the EE(Wald) and MLOD methods worked better than the other three methods. EE(Residual) did not work well in this setting.
Affiliation: Department of Statistics, University of Wisconsin, Madison, Wisconsin 53706.