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A Simple Regression-Based Method to Map Quantitative Trait Loci Underlying Function-Valued Phenotypes
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DOI：10.1534/genetics.114.166306.png)
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摘要
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Most statistical methods for quantitative trait loci (QTL) mapping focus on a single phenotype. 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. We propose two simple, fast methods that maintain high power and precision and are amenable to extensions with multiple-QTL models using a penalized likelihood approach. After identifying multiple QTL by these approaches, we can view the function-valued QTL effects to provide a deeper understanding of the underlying processes. Our methods have been implemented as a package for R, funqtl.
Keyword:
MODEL SELECTION APPROACH
GENETIC ARCHITECTURE
IDENTIFICATION
CROSSES
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