It has been 15 years since the advent of the genome-wide association study (GWAS) era.
Here, we review how this experimental design has realized its promise by facilitating an …

Cardiovascular disease is the leading contributor to years lost due to disability or premature
death among adults. Current efforts focus on risk prediction and risk factor mitigation ‚which …

Most signals in genome-wide association studies (GWAS) of complex traits implicate
noncoding genetic variants with putative gene regulatory effects. However, currently …

Both common and rare genetic variants influence complex traits and common diseases.
Genome-wide association studies have identified thousands of common-variant …

Genome-wide association studies (GWAS) test hundreds of thousands of genetic variants
across many genomes to find those statistically associated with a specific trait or disease …

Individuals of admixed ancestries (for example, African Americans) inherit a mosaic of
ancestry segments (local ancestry) originating from multiple continental ancestral …

Functional genomics data has the potential to increase GWAS power by identifying SNPs
that have a higher prior probability of association. Here, we introduce a method that …

The sequencing of the human genome has allowed the study of the genetic architecture of
common diseases: the number of genomic variants that contribute to risk of disease and …

One of the justifiable criticisms of human genetic studies is the underrepresentation of
participants from diverse populations. Lack of inclusion must be addressed at-scale to …

Early genome-wide association studies (GWASs) led to the surprising discovery that, for
typical complex traits, most of the heritability is due to huge numbers of common variants …