The vast majority of genome-wide association studies (GWASs) are performed in
Europeans, and their transferability to other populations is dependent on many factors (eg …

The omnigenic model was proposed as a framework to understand the highly polygenic
architecture of complex traits revealed by genome-wide association studies (GWASs). I …

Abstract Individuals with South Asian ancestry have a higher risk of heart disease than other
groups but have been largely excluded from genetic research. Using data from 22,000 …

Population stratification continues to bias the results of genome-wide association studies
(GWAS). When these results are used to construct polygenic scores, even subtle biases can …

Polygenic risk scores (PRS) measure genetic disease susceptibility by combining risk effects
across the genome. For coronary artery disease (CAD), type 2 diabetes (T2D), and breast …

Lottery, luck, or legacy. A review of “The Genetic Lottery: Why DNA matters for social equality” -
PMC Back to Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI …

Since the publication of the first genome-wide association study for cancer in 2007,
thousands of common alleles that are associated with the risk of cancer have been …

Although the cohort-level accuracy of polygenic risk scores (PRSs)—estimates of genetic
value at the individual level—has been widely assessed, uncertainty in PRSs remains …

One goal of genomic medicine is to uncover an individual's genetic risk for disease, which
generally requires data connecting genotype to phenotype, as done in genome-wide …

The majority of polygenic risk scores (PRSs) have been developed and optimized in
individuals of European ancestry and may have limited generalizability across other …