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 …

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 …

Estimates from genome-wide association studies (GWAS) of unrelated individuals capture
effects of inherited variation (direct effects), demography (population stratification …

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

Machine learning (ML) systems often exhibit unexpectedly poor behavior when they are
deployed in real-world domains. We identify underspecification in ML pipelines as a key …

The observation of genetic correlations between disparate human traits has been
interpreted as evidence of widespread pleiotropy. Here, we introduce cross-trait assortative …

Most adaption processes have a polygenic genetic basis, but even with the recent explosive
growth of genomic data we are still lacking a unified framework describing the dynamics of …

Polygenic risk scores (PRS) estimate an individual's genetic likelihood of complex traits and
diseases by aggregating information across multiple genetic variants identified from genome …

Polygenic risk scores (PRS) are poised to improve biomedical outcomes via precision
medicine. However, the major ethical and scientific challenge surrounding clinical …

Estimates from Mendelian randomization studies of unrelated individuals can be biased due
to uncontrolled confounding from familial effects. Here we describe methods for within-family …