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 …

Despite advances in high-throughput sequencing that have revolutionized the discovery of
gene defects in rare Mendelian diseases, there are still gaps in translating individual …

During the past decade, findings of genome-wide association studies (GWAS) improved our
knowledge and understanding of disease genetics. To date, thousands of SNPs have been …

Over the last few years, main effect genetic association analysis has proven to be a
successful tool to unravel genetic risk components to a variety of complex diseases. In the …

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

Motivation: The existing methods for genetic-interaction detection in genome-wide
association studies are designed from different paradigms, and their performances vary …

Background Identifying epistasis or epistatic interactions, which refer to nonlinear interaction
effects of single nucleotide polymorphisms (SNPs), is essential to understand disease …

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

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 …

Genome-wide association study is especially challenging in detecting high-order disease-
causing models due to model diversity, possible low or even no marginal effect of the model …