Figure 4: Prediction accuracy of schizophrenia risk in EAS cohorts.

a, Prediction accuracy, measured as variance explained (R²) on the liability scale, of single-discovery (trained on EAS or EUR GWAS) and multi-discovery polygenic prediction methods (trained on both EAS and EUR GWAS: EAS+EUR) across 6 EAS schizophrenia cohorts. Each dot represents one testing cohort, with the size of the dot being proportional to its effective sample size, calculated as 4/(1/Ncase+1/Ncontrol), and the shape of the dot representing the country where the sample was collected. Crossbar indicates the median R² on the liability scale. b, The center of the error bar shows the proportion of schizophrenia cases of the bottom 2%, 5%, 10% and top 2%, 5%, 10% of the PRS distribution, constructed by LDpred2 trained on EAS GWAS (the best-performing single-discovery method) and PRS-CSx (the best-performing multi-discovery method), across 6 EAS schizophrenia cohorts (9,416 cases, 8,708 controls). Error bar indicates 95% confidence intervals.