In healthcare, the development and deployment of insufficiently fair systems of artificial
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …

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 …

Abstract The NHGRI-EBI GWAS Catalog (www. ebi. ac. uk/gwas) is a FAIR knowledgebase
providing detailed, structured, standardised and interoperable genome-wide association …

Polygenic risk scores (PRSs) summarize the genetic predisposition of a complex human trait
or disease and may become a valuable tool for advancing precision medicine. However …

We assembled an ancestrally diverse collection of genome-wide association studies
(GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls …

We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a
sample of~ 3 million individuals and identify 3,952 approximately uncorrelated genome …

Despite increasing numbers of regulatory approvals, deep learning-based computational
pathology systems often overlook the impact of demographic factors on performance …

Mendelian randomization (MR) is a term that applies to the use of genetic variation to
address causal questions about how modifiable exposures influence different outcomes …

We report a genome-wide association study (GWAS) of coronary artery disease (CAD)
incorporating nearly a quarter of a million cases, in which existing studies are integrated with …

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 …