Google Research· ResearchResearch paper

Google Research evaluated transfer learning for cross-population genetic risk prediction using UK Biobank and Biobank Japan data. The study found that while transfer learning from European cohorts improves prediction in small underrepresented populations, it degrades accuracy once target cohort sample sizes grow beyond 15,000, especially for traits with population-specific genetic architectures.

From the source

We evaluate ways to improve cross-population genetic risk prediction and find that while transfer learning from European cohorts improves prediction in small underrepresented populations, it degrades accuracy once target cohort sample sizes grow, especially for traits with population-specific genetic architectures.

research.google

Announced