Genome-wide association studies (GWAS) involve testing genetic variants across the
genomes of many individuals to identify genotype–phenotype associations. GWAS have …

Prediction of disease risk is an essential part of preventative medicine, often guiding clinical
management. Risk prediction typically includes risk factors such as age, sex, family history of …

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 …

Tobacco and alcohol use are heritable behaviours associated with 15% and 5.3% of
worldwide deaths, respectively, due largely to broad increased risk for disease and injury …

Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40–
50% of phenotypic variation in human height, but identifying the specific variants and …

Summary The 1000 Genomes Project (1kGP) is the largest fully open resource of whole-
genome sequencing (WGS) data consented for public distribution without access or use …

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

Behaviors and disorders related to self-regulation, such as substance use, antisocial
behavior and attention-deficit/hyperactivity disorder, are collectively referred to as …

Polygenic risk scores (PRSs) increasingly predict complex traits; however, suboptimal
performance in non-European populations raise concerns about clinical applications and …

Data generated by genome-wide association studies (GWAS) are growing fast with the
linkage of biobank samples to health records, and expanding capture of high-dimensional …