Epistasis refers to nonallelic interaction between genes that cause bias in estimates of
genetic parameters for a phenotype with interactions of two or more genes affecting the …

Motivation Linear or nonlinear interactions of multiple single-nucleotide polymorphisms
(SNPs) play an important role in understanding the genetic basis of complex human …

Abstract Background Detecting epistatic interactions (EIs) involves the exploration of
associations among single nucleotide polymorphisms (SNPs) and complex diseases, which …

Detecting single nucleotide polymorphisms (SNPs) interactions is crucial to identify
susceptibility genes associated with complex human diseases in genome-wide association …

In genome-wide association studies, epistasis detection is of great significance for the
occurrence and diagnosis of complex human diseases, but it also faces challenges such as …

Epistasis is a phenomenon in which a phenotype outcome is determined by the interaction
of genetic variation at two or more loci and it cannot be attributed to the additive combination …

Genome-wide association studies (GWAS) have proven that thousands of single nucleotide
polymorphisms (SNP) are closely related to complex disease. As a neurodegenerative …

Epistasis detection is a fundamental application in the areas of bioinformatics and
biomedicine, providing important insights regarding the relationship between the human …

Single-nucleotide polymorphisms (SNPs), as disease-related biogenetic markers, are
crucial in elucidating complex disease susceptibility and pathogenesis. Due to …

Epistasis can be defined as the statistical interaction of genes during the expression of a
phenotype. It is believed that it plays a fundamental role in gene expression, as individual …