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Model R2 from different machine learning models across cohorts and ancestries using age and gender as covariates (along with PGSBMI and PCs 1–5). Across all cohorts and ancestries, LASSO with PGS-age and PGS-gender interaction terms had better average 10-fold cross-validation R2 than LASSO without interaction terms, while neural networks outperformed LASSO models.
