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 added noise with SD = 0, 1, 2 and the three different covariance structures, is shown in Figure 6. (Corresponding estimates of QTL mapping precision are displayed in Figure S6.) The power of the SLOD, MLOD, and EE(Residual) methods is greatly affected by the introduction of noise. EE(Wald) and the parametric methods are relatively robust to the introduction of noise. Overall, the EE(Wald) method continued to perform best.
Affiliation: Department of Statistics, University of Wisconsin, Madison, Wisconsin 53706.