DiscoDivas: A genetic-distance framework for interpolating polygenic risk scores across admixed populations
By
Pradeep Natarajan1,2,3,6 Send email to [email protected]
Summary
This paper introduces DiscoDivas, a genetic-distance-assisted framework designed to improve polygenic risk score (PRS) prediction for admixed populations. The method leverages ancestry continuum information to interpolate PRS models across genetically diverse groups, addressing the underrepresentation of admixed individuals in GWAS summary statistics and individual-level datasets. By harmonizing multiple fine-tuned models without requiring ancestry-specific switching, DiscoDivas enhances predictive performance, particularly for individuals of mixed genetic ancestry, aiming to promote more equitable clinical translation of PRS.
Source
bskyDiscoDivas: A genetic-distance framework for interpolating polygenic risk scores across admixed populationscell.comKey quotes
· 3 pulledThe relatively low representation of admixed populations in both GWAS summary statistics and individual-level datasets hinders the development of PRSs and equitable clinical translation for admixed populations.
Prior work indicates that the most informative PRS model for a genetically homogeneous sample varies linearly in an ancestry continuum space.
By harmonizing multiple fine-tuned models without ancestry-specific switching, DiscoDivas improves PRS predictive performance, especially for admixed individuals.
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