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 …

… , polygenic scores are also afflicted by biases common to many genetic association studies,
… This can lead to false-positive findings, that is, polygenic scores predicting outcomes in the …

… association studies by covarying principal component scores for groups that differ in SNP
resemblance. Polygenic scores … components in analyses of their association with a phenotype. …

… studies, and neuroimaging studies. This gain in statistical power comes with a loss of granularity:
Associations with polygenic scores … However, much of biology is itself polygenic (Iacono…

… Accordingly, representation of non-European ancestry participants in genome-wide association
studies (GWAS) increased, from 4% in 2009 1 to 19% in 2016 3 . Most of the increase in …

… association studies have shown unequivocally that common complex disorders have a
polygenic … These variants can be combined into a polygenic risk score that captures part of an …

… of genome-wide association studies (GWAS) in the past decade, how far have we
reached this goal? In this study we explored the predictive ability of polygenic risk scores (PRSs) …

… It was an obvious possibility to extend the HLA and disease association studies to looking
for the association between any marker and a disease on the assumption that this could lead, …

… Together with our findings of an SNP-based heritability of approximately 15% and an
increase in explained variance in the polygenic risk score analysis when polygenic scores are …

… association studies (GWAS) and subsequently, calculation of polygenic scores (PGSs; also
called polygenic risk scores, … to generate comprehensive risk scores with greater accuracy. …