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Fig. 5 | Alzheimer's Research & Therapy

Fig. 5

From: Distinct sex-specific DNA methylation differences in Alzheimer’s disease

Fig. 5

Receiver Operating Characteristic curves (ROCs) for out-of-sample validation of logistic regression models predicting AD diagnosis in males and females. The training and testing samples included sex-specific samples from AIBL and AddNeuroMed datasets, respectively. In males, the best-performing logistic regression model included age and methylation risk score (MRS) (AUC = 0.70), compared to the model with age alone (AUC = 0.64), or the model with age and estimated immune cell-type proportions (AUC = 0.57). In females, the best-performing model included age, MRS, and estimated immune cell-type proportions (AUC = 0.74), compared to the model with age and estimated immune cell-type proportions (AUC = 0.68). MRS was computed as the sum of methylation beta values for significant CpGs weighted by their estimated effect sizes from sex-specific meta-analysis of AIBL and ADNI datasets. In males, significant CpGs for the MRS included 2 CpGs with P-value < 10−5 identified in the interaction analysis that are also available in the AddNeuroMed dataset; in females, significant CpGs for MRS included 9 CpGs with P-value < 10−5 identified in AD vs. CN comparison that are also available in AddNeuroMed dataset. Abbreviations: AUC = Area Under ROC curve, AD = Alzheimer's disease, CN = cognitive normal

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