International Journal of Molecular Sciences · 2021 · 14 citations · 47 references
Life SciencesGeneticsMolecular BiologyAgingEpigeneticsPathway AnalysisDna Methylation ProfilingEpigenetic Biomarker AnalysisEpigenetic BiomarkersEpigenetics Of AgingGenetics Of AgingMacular DegenerationAge-associated Dna Methylation ChangesAge-related Macular Degeneration BiomarkersAging-associated Epigenetic ChangesDifferential Methylation AnalysisEpigenetic Age EstimationEpigenetic Aging MarkersEpigenetic ClocksGenome-wide Methylation Analysis
DNA methylation age (DNAm age) estimation is a powerful biomarker of human ageing. To date, epigenetic clocks have not been evaluated in age-related macular degeneration (AMD). Here, we perform genome-wide DNA methylation analyses in blood of AMD patients with a documented smoking history (14 AMD, 16 Normal), identifying loci of differential methylation (DML) with a relaxed p-value criterion (p ≤ 10−4). We conduct DNAm age analyses using the Horvath-multi tissue, Hannum and Skin & Blood epigenetic clocks in both blood and retinal pigment epithelium (RPE). We perform Ingenuity Pathway Analysis Causal Network Analysis (IPA CNA) on the topmost significantly differentially methylated CpG probes in blood and RPE. Results show poor performance of epigenetic clocks in RPE. Epigenetic age acceleration (EAA) was not observed in AMD. However, we observe positive EAA in blood of smokers, and in smokers with AMD. DML analysis revealed hypomethylation at cg04953735 within RPTOR (p = 6.51 × 10−5; Δβ = −11.95%). IPA CNA in the RPE also identified RPTOR as the putative master regulator, predicted to be inhibited in AMD. In conclusion, this is the first study evaluating an association of epigenetic ageing in AMD. We posit a role for RPTOR as a common master regulator of methylation changes in the RPE in AMD.
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DNA methylation age of human tissues and cell types
Steve Horvath · Genome biology · 2013 · 7.3K citations · Full text
Causal analysis approaches in Ingenuity Pathway Analysis
A. Krämer, Jeff Green, Jack Pollard et al. · Bioinformatics · 2013 · 6.1K citations · Full text