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Fig. 2 | Clinical Epigenetics

Fig. 2

From: Highly accurate skin-specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging

Fig. 2

Effects of aging on CpGs and genes associated with the skin-specific DNAm age predictor. a Heat map of DNA methylation levels of probes associated with the model across all samples. Only probes with a SD between the second and third quartile are plotted. Color codes represent beta DNAm values after row-wise z-score transformation. Probes (rows) were clustered using Pearson correlation. Samples were ordered according to age. Features regarding tissue of origin, sun exposure, sex, and age group (age 1: < 30 years old, age 2: between 30 and 60 years old, and age 3: > 60 years old) are also shown. b Heat map of CpG-related genes expression levels associated with the model across all samples. Only genes with a SD higher than the second quartile are plotted. Color-codes represent log(normalized expression + 1) values after row-wise z-score transformation. Genes (rows) were clustered using Pearson correlation. Samples were ordered as shown in (a). c Gene ontology (GO) enrichment summary for genes associated with probes in the model. d Over representation analysis using KEGG database genes associated with probes positively correlated with age and e genes associated with probes negatively correlated with age. Dark bars represent significantly enriched pathways after controlling for false discovery rate (FDR) using the Bonferroni method

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