Ontology highlight
ABSTRACT: Background
Genome-wide association studies provide important insights to the genetic component of disease risks. However, an existing challenge is how to incorporate collective effects of interactions beyond the level of independent single nucleotide polymorphism (SNP) tests. While methods considering each SNP pair separately have provided insights, a large portion of expected heritability may reside in higher-order interaction effects.Results
We describe an inference approach (discrete discriminant analysis; DDA) designed to probe collective interactions while treating both genotypes and phenotypes as random variables. The genotype distributions in case and control groups are modeled separately based on empirical allele frequency and covariance data, whose differences yiel
SUBMITTER: Woo HJ
PROVIDER: S-EPMC5006276 | biostudies-literature | 2016 Aug
REPOSITORIES: biostudies-literature