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. 2023 Jan 16;110(2):273–283. doi: 10.1016/j.ajhg.2022.12.014

Figure 2.

Figure 2

Epigenetic BMI accurately predicts BMI

(A) Receiver operating characteristic curve showing the performance of the DNA methylation prediction score identifying obesity. AUC denotes area under the curve. Y axis is the sensitivity (true positive rate) and the x axis is specificity (1-false positive rate).

(B) Scatterplot of predicted BMI from elastic net regression of 398 CpG sites by actual BMI. Individuals categorized based on the residual of predicted BMI regressed on actual BMI. MAD denotes median absolute deviation between predicted and actual BMI.

(C) Boxplot of the association between epigenetic prediction category and blood glucose (mg/dL), high-density lipoprotein (HDL-C, mg/dL), low-density lipoprotein (LDL-C, mg/dL), and triglycerides (mg/dL). Significance defined as ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001.