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Genome-enabled Prediction of Complex Traits with Kernel Methods: What Have We Learned?
Genome-enabled Prediction of Complex Traits with Kernel Methods: What Have We Learned?
Tuesday, August 19, 2014: 4:30 PM
Bayshore Grand Ballroom E-F (The Westin Bayshore)
Abstract Text:
Complex traits are presumably affected by several genomic regions acting in some concerted manner (epistasis), by non-linearity between genome and phenotypes stemming from enzyme kinetics, and by interactions with environmental forces. Prompted by these considerations, non-parametric approaches entered into quantitative genetics early in the 21st century, and a decade of experience has been accumulated, mostly in animals and plants. Some developments are reviewed in this paper, and areas for additional investigation are discussed.
Keywords:
Complex Traits
Genome-enabled Prediction
Non-parametric Regression