Variable prediction accuracy of polygenic scores within an ancestry group
Columbia University · Princeton University · +2 more institutions
Abstract
Fields as diverse as human genetics and sociology are increasingly using polygenic scores based on genome-wide association studies (GWAS) for phenotypic prediction. However, recent work has shown that polygenic scores have limited portability across groups of different genetic ancestries, restricting the contexts in which they can be used reliably and potentially creating serious inequities in future clinical applications. Using the UK Biobank data, we demonstrate that even within a single ancestry group (i.e., when there are negligible differences in linkage disequilibrium or in causal alleles frequencies), the prediction accuracy of polygenic scores can depend on characteristics such as the socio-economic…
Citation impact
- FWCI
- 52.15
- Percentile
- 100%
- References
- 100
Authors
6Topics & keywords
- Genome-wide association study
- Linkage disequilibrium
- Biobank
- Genetic association
- Polygenic risk score
- Genetics
- Biology
- Multifactorial Inheritance