Finding epistatic interactions among loci when expressing a phenotype is a widely
employed strategy to understand the genetic architecture of complex traits in GWAS. 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 …

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

We describe the experience of converting a CUDA implementation of a high-order epistasis
detection algorithm to SYCL. The goals are for our work to be useful to application and …

Background Numerous approaches have been proposed for the detection of epistatic
interactions within GWAS datasets in order to better understand the drivers of disease and …

To elucidate the genetic basis of complex diseases, it is crucial to discover the single-
nucleotide polymorphisms (SNPs) contributing to disease susceptibility. This is particularly …

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 …

Complex genetic diseases may be modulated by a large number of epistatic interactions
affecting a polygenic phenotype. Identifying these interactions is difficult due to …

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 …

The investigation of highly-efficient parallel algorithms targeting modern heterogeneous
systems can provide bioinformaticians new mechanisms to find relations between genetics …