Genome-wide association studies (GWASs) have become the focus of the statistical analysis
of complex traits in humans, successfully shedding light on several aspects of genetic …

As advances in life sciences and information technology bring profound influences on
bioinformatics due to its interdisciplinary nature, bioinformatics is experiencing a new leap …

With the recent explosion in high-throughput genotyping technology, the amount and quality
of single-nucleotide polymorphism (SNP) data has increased exponentially. Therefore, the …

High throughput platforms available in clinical settings or in research laboratories, such as
magnetic resonance imaging, microarray, mass spectrometry and next-generation …

In this era of genome-wide association studies (GWAS), the quest for understanding the
genetic architecture of complex diseases is rapidly increasing more than ever before. The …

Background It has been hypothesized that multivariate analysis and systematic detection of
epistatic interactions between explanatory genotyping variables may help resolve the …

It is becoming clear that most human diseases have a complex etiology that cannot be
explained by single nucleotide polymorphisms (SNPs) or simple additive combinations; the …

Motivation: Many new methods have recently been proposed for detecting epistatic
interactions in GWAS data. There is, however, no in-depth independent comparison of these …

A central challenge in systems biology and medical genetics is to understand how
interactions among genetic loci contribute to complex phenotypic traits and human diseases …

Genome-wide association studies (GWAS) are a common approach for systematic discovery
of single nucleotide polymorphisms (SNPs) which are associated with a given disease …