Polygenic risk scores (PRS) were computed using LDpred66, which accounts for linkage disequilibrium between variants. Since we do not know the variance-covariance matrix of the effects in the training sample (here, the GWAS results), we replace this matrix with a block diagonal matrix estimated using LD patterns from the prediction cohorts, after dropping cryptically-related individuals and ancestry outliers.
