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 …

Many gene expression quantitative trait locus (eQTL) studies have published their summary
statistics, which can be used to gain insight into complex human traits by downstream …

Polygenic risk scores (PRS) have attenuated cross-population predictive performance. As
existing genome-wide association studies (GWAS) have been conducted predominantly in …

Importance Polygenic risk scores (PRS) are predictors of the genetic susceptibilities of
individuals to diseases. All individuals have DNA risk variants for all common diseases, but …

Genome-wide association studies have shown unequivocally that common complex
disorders have a polygenic genetic architecture and have enabled researchers to identify …

The genetic dissection of major depressive disorder (MDD) ranks as one of the success
stories of psychiatric genetics, with genome-wide association studies (GWAS) identifying …

Background Variation in liability to cannabis use disorder has a strong genetic component
(estimated twin and family heritability about 50–70%) and is associated with negative …

The molecular processes underlying human health and disease are highly complex. Often,
genetic and environmental factors contribute to a given disease or phenotype in a non …

Admixed populations are routinely excluded from genomic studies due to concerns over
population structure. Here, we present a statistical framework and software package, Tractor …