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 …

Interindividual variability in genes encoding drug-metabolizing enzymes, transporters,
receptors, and human leukocyte antigens has a major impact on a patient's response to …

Large-scale sequencing has enabled unparalleled opportunities to investigate the role of
rare coding variation in human phenotypic variability. Here, we present a pan-ancestry …

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 …

Underrepresentation of non-European (EUR) populations hinders growth of global precision
medicine. Resources such as imputation reference panels that match the study population …

Polygenic scores (PGS) have emerged as the tool of choice for genomic prediction in a wide
range of fields. We show that PGS performance varies broadly across contexts and …

Genome-wide association studies (GWASs) have been mostly conducted in populations of
European ancestry, which currently limits the transferability of their findings to other …

Complex diseases are caused by a combination of genetic, lifestyle, and environmental
factors and comprise common noncommunicable diseases, including allergies …

A fundamental goal in evolutionary biology is to understand the genetic architecture of
adaptive traits. Using whole-genome data of 3955 of Darwin's finches on the Galápagos …

The integration of quantitative trait loci (QTLs) with disease genome-wide association
studies (GWASs) has proven successful in prioritizing candidate genes at disease …