Explaining Missing Heritability Using Gaussian Process Regression

@inproceedings{Sharp2015ExplainingMH,
  title={Explaining Missing Heritability Using Gaussian Process Regression},
  author={Kevin Sharp and Wim Wiegerinck and Alejandro Arias-Vasquez and Barbara Franke and Jonathan Marchini and Cornelis A. Albers and Hilbert J. Kappen},
  year={2015}
}
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 nonadditive 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 model, for identifying associated loci in the presence of interactions of arbitrary… CONTINUE READING

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