The coefficient of determination (R 2) is a well-established measure to indicate the predictive
ability of polygenic scores (PGSs). However, the sampling variance of R 2 is rarely …

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 (PGS) are estimated scores representing the genetic tendency of an
individual for a 2 disease or trait and have become an indispensible tool in a variety of …

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

There is growing interest in the clinical application of polygenic scores as their predictive
utility increases for a range of health-related phenotypes. However, providing polygenic …

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 …

Polygenic scores (PGS) have emerged as the tool of choice for genomic prediction in a wide
range of fields. We show that PGS performance varies broadly across contexts and …

Polygenic scores (PGS) are important tools for carrying out genetic prediction of common
diseases and disease related complex traits, facilitating the development of precision …

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 …

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 …