Large-scale epistasis studies can give new clues to system-level genetic mechanisms and a
better understanding of the underlying biology of human complex disease traits. Though …

Advances in high-throughput sequencing technologies have made it possible to access
millions of measurements from thousands of people. Single nucleotide polymorphisms …

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 …

Interest in discovering combinations of genetic markers from case–control studies, such as
Genome Wide Association Studies (GWAS), that are strongly associated to diseases has …

In this paper, we aim at discovering genetic factors of psoriasis through searching for
statistically significant SNP-SNP interactions exhaustively from two real psoriasis genome …

Genome-Wide Association Studies (GWASs), analyses that try to find a link between a given
phenotype (such as a disease) and genetic markers, have been growing in popularity in the …

Our knowledge of non-linear genetic effects on complex traits remains limited, in part, due to
the modest power to detect such effects. While kernel-based tests offer a versatile approach …

Epistasis, the interaction between genes, has become a major topic in molecular and
quantitative genetics. It is believed that these interactions play a significant role in genetic …

The substitution of nucleotides at specific positions in the genome of a population, known as
single-nucleotide polymorphisms (SNPs), has been correlated with a number of important …

Development of new methods to detect pairwise epistasis, such as SNP-SNP interactions, in
Genome-Wide Association Studies is an important task in bioinformatics as they can help to …