The low portability of polygenic scores (PGSs) across global populations is a major concern
that must be addressed before PGSs can be used for everyone in the clinic. Indeed …

Polygenic scores (PGSs) have limited portability across different groupings of individuals (for
example, by genetic ancestries and/or social determinants of health), preventing their …

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

Polygenic scores (PGS) are commonly evaluated in terms of their predictive accuracy at the
population level by the proportion of phenotypic variance they explain. To be useful for …

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 …

African populations are vastly underrepresented in genetic studies but have the most
genetic variation and face wide-ranging environmental exposures globally. Because …

As most existing genome-wide association studies (GWASs) were conducted in European-
ancestry cohorts, and as the existing polygenic risk score (PRS) models have limited …

This study investigates the creation of polygenic scores (PGS) s for human population
research. PGSs are a linear, usually weighted, combination of risk alleles that estimate the …

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

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 …