Kernel machine SNP-set testing under multiple candidate kernels.

ABSTRACT: Joint testing for the cumulative effect of multiple single-nucleotide polymorphisms grouped on the basis of prior biological knowledge has become a popular and powerful strategy for the analysis of large-scale genetic association studies. The kernel machine (KM)-testing framework is a useful approach that has been proposed for testing associations between multiple genetic variants and many different types of complex traits by comparing pairwise similarity in phenotype between subjects to pairwise similarity in genotype, with similarity in genotype defined via a kernel function. An advantage of the KM framework is its flexibility: choosing different kernel functions allows for different assumptions concerning the underlying model and can allow for improved power. In practice, it is difficul

SUBMITTER: Wu MC 

PROVIDER: S-EPMC3769109 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature