Transfer learning for genomic prediction in underrepresented populations
Google Research evaluated transfer learning from European GWAS to improve polygenic risk scores in underrepresented populations. Using UK Biobank and Biobank Japan data across eight traits, they found transfer learning boosts prediction in small cohorts but degrades accuracy as target sample sizes grow, especially for traits with population-specific genetic architectures.
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