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. 2021 Jul 23;12:4506. doi: 10.1038/s41467-021-24082-z

Fig. 2. Prediction accuracy across different PRS methods (PRS(C + T), PRSice, LDpred-Inf, PRS-CS, LDAK and SBayesR) for ORS.full, ORS.no.APOE, PRS.full, PRS.no.APOE and PRS.AD.

Fig. 2

Bar plot for prediction accuracy (AUC and R2) across 6 PRS approaches: PRS(C + T), PRSice, LDpred-Inf, PRS-CS, LDAK and SBayesR (red, yellow, green, teal, blue, pink bars respectively). The colour of each PRS method is consistent across all plots. Upper figures represent ORS and lower figures represent PRS and PRS.AD models in the case-control dataset (271 cases and 278 controls). ORS.full includes SNPs with pT ≤ 1e-5 and PRS.full includes SNPs with pT ≤ 0.1, ORS.no.APOE and PRS.no.APOE exclude SNPs in the APOE region and PRS.AD models APOE separately and subsequently adds this to PRS.no.APOE. AUC Area Under the Curve, ORS Oligogenic risk score, PRS Polygenic risk score, AD Alzheimer’s Disease, SNP Single nucleotide polymorphism.