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- Title
Polygenic risk scores: a biased prediction?
- Authors
De La Vega, Francisco M.; Bustamante, Carlos D.
- Abstract
A new study highlights the biases and inaccuracies of polygenic risk scores (PRS) when predicting disease risk in individuals from populations other than those used in their derivation. The design bias of workhorse tools used for research, particularly genotyping arrays, contributes to these distortions. To avoid further inequities in health outcomes, the inclusion of diverse populations in research, unbiased genotyping, and methods of bias reduction in PRS are critical.
- Subjects
GENETIC disorders; HEALTH risk assessment; STATISTICAL bias; STATISTICAL accuracy; DATA analysis; STATISTICAL methods in genetics
- Publication
Genome Medicine, 2018, Vol 10, Issue 1, pN.PAG
- ISSN
1756-994X
- Publication type
Article
- DOI
10.1186/s13073-018-0610-x