Skip to main content
Fig. 3 | Breast Cancer Research

Fig. 3

From: Accelerated aging in normal breast tissue of women with breast cancer

Fig. 3

DNA methylation outliers are identified through age-dependent sites. a Distribution of the outlier scores (x-axis) calculated by the local outlier factor algorithm on 427 patients from six DNA methylation datasets. The dashed line represents the cutoff for outlier designation based on LOF outlier scores of ≥ Q3 + 1.5 × IQR (red line) across all patients. b A Lasso regression model was built on the DNA methylation values of 146 aging sites in all non-outlier samples (gray) from 6 datasets to predict the ages of the samples. The chronological ages and the predicted ages for 427 patients are shown in the scatter plot with outlier samples in red. c The difference between the predicted age and the chronological age (y-axis) is shown in the bar plot for 427 patients (x-axis). The 39 outlier patients are in red while the not-outliers are in gray. d Comparison of the absolute difference between the predicted age and the chronological age on the y-axis for not-outlier (gray) and outlier (red) samples on the x-axis. Significance was tested by the Wilcoxon test

Back to article page