Background The remarkable growth of genome-wide association studies (GWAS) has
created a critical need to experimentally validate the disease-associated variants, 90% of …

Reductions in genotyping costs and improvements in computational power have made
conducting genome-wide association studies (GWAS) standard practice for many complex …

Motivation Genome-wide association studies (GWAS) present several computational and
statistical challenges for their data analysis, including knowledge discovery, interpretability …

Recent advances in genome-wide association studies (GWAS) have enabled us to identify
thousands of genetic variants (GVs) that are associated with human diseases. As next …

Non-coding genetic variants outside of protein-coding genome regions play an important
role in genetic and epigenetic regulation. It has become increasingly important to …

Over the past two decades, biomedical research is moving toward a big-data-driven
approach. The underlying causes of this transition include the ability to gather genetic or …

Since their inception, genome-wide association studies (GWAS) have identified more than a
hundred thousand single nucleotide polymorphism (SNP) loci that are associated with …

Genome-wide association studies (GWAS) have revealed thousands of genetic loci that
underpin the complex biology of many human traits. However, the strength of GWAS–the …

The field of omics, driven by advances in high-throughput sequencing, faces a data
explosion. This abundance of data offers unprecedented opportunities for predictive …

Open Targets, a consortium among academic and industry partners, focuses on using
human genetics and genomics to provide insights to key questions that build therapeutic …