Polygenic scores (PGS) have been widely used to predict disease risk using variants
identified from genome-wide association studies (GWAS). To date, most GWAS have been …

Fields as diverse as human genetics and sociology are increasingly using polygenic scores
based on genome-wide association studies (GWAS) for phenotypic prediction. However …

Genome-wide association studies (GWASs) have been mostly conducted in populations of
European ancestry, which currently limits the transferability of their findings to other …

Polygenic risk scores (PRS) calculated from genome-wide association studies (GWAS) of
Europeans are known to have substantially reduced predictive accuracy in non-European …

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

Polygenic risk scores (PRS) use the results of genome-wide association studies (GWAS) to
predict quantitative phenotypes or disease risk at an individual level, and provide a potential …

A historical tendency to use European ancestry samples hinders medical genetics research,
including the use of polygenic scores, which are individual-level metrics of genetic risk. We …

Background Polygenic risk scores (PRS) are valuable to translate the results of genome-
wide association studies (GWAS) into clinical practice. To date, most GWAS have been …

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 …