Research Paper
EpiAge: A next-generation sequencing-based ELOVL2 epigenetic clock for biological age assessment in saliva and blood across health and disease
Figure 3. (A) Scatter plot analysis of epigenetic age acceleration (EAA) across individuals without COVID-19 (Neg, n=296) from GSE167202 and COVID-19 patients (Pos, n=407) from GSE168739. EAA is calculated by subtracting chronological age from EpiAge estimates. Median EAA values for each group are plotted. Non-parametric two-tailed Mann-Whitney U test reveals significant EAA in COVID-19 patients compared to non-COVID-19 individuals (P < 0.0001), with a median difference of 3.974 years, indicating accelerated biological aging in infected patients. (B) Scatter plot analysis comparing epigenetic age between healthy controls (GSE167202, n=296) and COVID-19 patients (GSE168739, n=407), utilizing clocks including EpiAge, DNAmAge, DNAmAgeHannum, DNAmPhenoAge, DNAmAgeSkinBloodClock, DNAGrimAge v1, and DNAGrimAge v2. Due to the non-normal distribution of data, a Mann-Whitney U test was employed. Significance levels are denoted as ns (not significant), * (p < 0.05), ** (p < 0.01), *** (p < 0.001), **** (p < 0.0001).