Genetic determinants of polygenic prediction accuracy within a population

Full summary statistics of genome-wide discovery of prediction variability quantitative loci using Levene's test, for 15 quantitative biomarkers Scripts pipeline.sh: command line codes used for analyses dominance_interaction.R: R script for identifying dominance and interaction effects dominance_PRS.R: R script for incorporating dominance effects into polygenic risk scores Supplementary Tables Table S1: Cohort characteristics of unrelated UK Biobank European ancestry participants. Table S2: Summary of environmental and lifestyle exposures in the UK Biobank discovery set (N = 254,376). Table S3: Proportion of phenotypic variance explained by polygenic risk scores in the UK Biobank. Proportion of variance explained (adjusted R2) was assessed by linear regression. Table S4: Summary of all COJO-independent SNPs used for constructing polygenic risk scores. Results of COJO analyses are included. Table S5: Summary of all COJO-independent PVL SNPs. Results of COJO analyses are included. Table S6: Annotation of PVLs. Table S7: Summary statistics of genetic correlation estimates based on GWAS-identified risk loci and PVLs respectively. Table S8: Summary of dominance effects and SNP-exposure interaction effects tested for COJO-independent SNPs, and GWAS risk loci-PVL colocalization. Table S9: Summary of dominance effects and SNP-exposure interaction effects tested for COJO-independent PVL SNPs. Table S10: Additional dominance effects with an FDR Table S11: Additional dominance effects with Bonferroni-corrected p-value