Explaining Missing Heritability Using Gaussian Process Regression

Abstract excerpt

For many traits and common human diseases, causal loci uncovered by genetic association studies account for little of the known heritable variation. Such ‘missing heritability’ may be due to the effect of non-additive interactions between multiple loci, but this has been little explored and difficult to test using existing parametric approaches. We propose a Bayesian non-parametric Gaussian Process Regression mode...

Topics

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• Alleles
• Epigenomics
• Gene-Environment Interaction
• Gene Frequency
• Genetic Predisposition to Disease
• Genetic Variation
• Genome-Wide Association Study
• Phenotype

Identifiers and source

Literature Corpus work

6af3096a-5559-5826-b7b0-e7a877cc66b5

DOI

10.1101/040576