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Google analyzes limits of genetic disease tests for non-Europeans

Google researchers looked at how well genetic risk models—used to forecast disease risk—work for Japanese populations when originally based on European genetic data. They ran experiments mixing UK Biobank (mostly European) and Biobank Japan samples to predict eight health traits. The study found that models built mostly on European data performed worse in Japanese individuals. Larger ancestry-specific data helped, but didn’t fully close the gap.

Why it mattersGenetic disease prediction tools can fail for people of non-European ancestry if built mostly on European data. This shapes who gets accurate results in health apps and clinical settings, raising fairness and accessibility issues.

Sources covering this

Google ResearchPrimaryTransfer learning for genomic prediction in underrepresented populations6:20 PM
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