Stability of polygenic scores across discovery genome-wide association studies

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 precision medicine applications, they also need to be evaluated at the individual level when phenotypes are not necessar...

Full description

Saved in:
Bibliographic Details
Published in:HGG advances 2022-04, Vol.3 (2), p.100091, Article 100091
Main Authors: Schultz, Laura M., Merikangas, Alison K., Ruparel, Kosha, Jacquemont, Sébastien, Glahn, David C., Gur, Raquel E., Barzilay, Ran, Almasy, Laura
Format: Article
Language:English
Subjects:
Adolescent Brain Cognitive Development study
African American
ancestry
height
methods development
Philadelphia Neurodevelopmental Cohort
PRS-CS
PTSD
type 2 diabetes
UK Biobank
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 precision medicine applications, they also need to be evaluated at the individual level when phenotypes are not necessarily already known. We investigated the stability of PGS in European American (EUR) and African American (AFR)-ancestry individuals from the Philadelphia Neurodevelopmental Cohort and the Adolescent Brain Cognitive Development study using different discovery genome-wide association study (GWAS) results for post-traumatic stress disorder (PTSD), type 2 diabetes (T2D), and height. We found that pairs of EUR-ancestry GWAS for the same trait had genetic correlations >0.92. However, PGS calculated from pairs of same-ancestry and different-ancestry GWAS had correlations that ranged from
ISSN:2666-2477
2666-2477
DOI:10.1016/j.xhgg.2022.100091