Advances in gene sequencing technology and decreasing costs have resulted in a
proliferation of genomic data as an integral component of big data. The availability of vast …

The application of artificial intelligence/machine learning (AI/ML) to study and improve
health is generating tremendous interest throughout the biomedical research community …

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the
recent development of integrated genomic, epigenomic and imaging data analysis and …

Motivation Identification and interpretation of non-coding variations that affect disease risk
remain a paramount challenge in genome-wide association studies (GWAS) of complex …

Imagine a major primate core facility at a top-tier academic medical school. This primate
facility has studied 100,000 primates over the past decade, modeling over 8000 different …

While genome-wide association studies (GWAS) have unequivocally identified vast disease
susceptibility variants, a majority of them are situated in non-coding regions and are in high …

Genome-wide association studies (GWASs), now as a routine approach to study single-
nucleotide polymorphism (SNP)-trait association, have uncovered over ten thousand …

The GWAS Catalog delivers a high-quality curated collection of all published genome-wide
association studies enabling investigations to identify causal variants, understand disease …

Non-coding variants in the human genome significantly influence human traits and complex
diseases via their regulation and modification effects. Hence, an increasing number of …

The ambition of precision medicine is to design and optimize the pathway for diagnosis,
therapeutic intervention, and prognosis by using large multidimensional biological datasets …