Portability of 245 polygenic scores when derived from the UK Biobank and applied to 9 ancestry groups from the same cohort
Aarhus University · Harvard University · +3 more institutions
Abstract
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, prediction accuracy has been shown to decay as a function of the genetic distance between the training and test cohorts. However, such cohorts differ not only in their genetic distance but also in their geographical distance and their data collection and assaying, conflating multiple factors. In this study, we examine the extent to which PGSs are transferable between ancestries by deriving polygenic scores for 245 curated traits from the UK Biobank data and applying them in nine ancestry groups from the same cohort. By restricting both…
Citation impact
- FWCI
- 65.43
- Percentile
- 100%
- References
- 66
Authors
7Topics & keywords
- Biobank
- Software portability
- Confounding
- Cohort
- Demography
- Genotyping
- Genetic genealogy
- Statistics