1/5 👅 Co-authored by Contributor Riccardo Marioni (@MarioniGroup), this recent preprint describes a novel framework for saliva-based DNA methylation biomarkers. Leveraging blood DNAm data and EpiScores, InflammAge is introduced, a clock quantifying systemic chronic inflammation.
ALT A novel framework to train biologically-interpretable and reproducible DNAm biomarkers in saliva. a Schematic showing the steps (1-7) and datasets (training, reliability, test) required in the framework to train novel DNAm biomarkers in saliva. EHR = electronic health records, IL-6 = Interleukin 6, CRP = C-reactive protein. b Reproducibility analysis for the CpG probes (left) and EpiScore (right) features considered during the training of InflammAge. The distributions of intraclass correlation coefficients (ICC) were calculated in the reliability dataset and displayed as box and violin plots for five different comparisons (including within and between blood and saliva tissues). The box plots show the interquartile range (IQR) as squares and the mean (black diamond). Grey vertical lines indicate ICC filtering thresholds at 0.75 for within tissues and 0.10 for between tissues. Read more in the preprint.