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 …

We describe the CoMet application for large-scale epistatic Genome-Wide Association
Studies (eGWAS) and pleiotropy studies. High performance is attained by transforming the …

Detecting genome-wide SNP-SNP interactions (epistasis) efficiently is essential to
harnessing the vast data now available from modern biobanks. With millions of SNPs and …

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 …

Motivation Epistasis, which is the phenomenon of genetic interactions, plays a central role in
many scientific discoveries. However, due to the combinatorial nature of the problem, it is …

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 …

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 …

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 …

Detecting epistasis, such as 2-SNP interactions, in genome-wide association studies
(GWAS) is an important but time consuming operation. Consequently, GPUs have already …