Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseases.

ABSTRACT:

Background

Large-scale genetic studies of common human diseases have focused almost exclusively on the independent main effects of single-nucleotide polymorphisms (SNPs) on disease susceptibility. These studies have had some success, but much of the genetic architecture of common disease remains unexplained. Attention is now turning to detecting SNPs that impact disease susceptibility in the context of other genetic factors and environmental exposures. These context-dependent genetic effects can manifest themselves as non-additive interactions, which are more challenging to model using parametric statistical approaches. The dimensionality that results from a multitude of genotype combinations, which results from considering many SNPs simultaneously, renders these approaches underpo

SUBMITTER: Moore JH 

PROVIDER: S-EPMC5450417 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature