Transfer learning for genomic prediction in underrepresented populations

Google Research evaluates transfer learning for polygenic risk scores across populations. The study finds that borrowing data from European cohorts improves predictions for small groups but degrades accuracy as target sample sizes increase. The post provides empirical guidelines for optimizing model training in non-European populations using UK Biobank and Biobank Japan datasets.