panel that does not match a GWAS discovery population for SNP clumping. However, more flexible approaches for computing PRS weights are useful. We provide files with SNP selections and weights for our optimal PRSs validated in WHI HA and AA for the 12 traits investigated here, but also recommend that future investigators who construct PRSs for traits with relatively low sample sizes, attempt to follow our approach of training and testing on an independent dataset to select an optimal PRS. When computational resources are limited, we recommend to clump SNPs based on EA GWAS results and compare multiple weighting schemes.