Genome-wide association studies have succeeded in identifying genetic variants associated
with complex diseases, but the findings have not been well interpreted biologically. Although …

There are many algorithms for detecting epistatic interactions in GWAS. However, most of
these algorithms are applicable only for detecting two-locus interactions. Some algorithms …

Background A central question for disease studies and crop improvements is how genetics
variants drive phenotypes. Genome Wide Association Study (GWAS) provides a powerful …

Logistic regression as implemented in PLINK is a powerful and commonly used framework
for assessing gene-gene interactions. However, fitting regression models for each pair of …

With the development of high-throughput genoty** technology, single nucleotide
polymorphism (SNP)–SNP interactions (SSIs) detection has become an essential way for …