Where are we in the implementation of tissue-specific epigenetic clocks?

• DOI: 10.3389/fbinf.2024.1306244
• Publication Date: 2024-03-04T04:51:20Z
• Authors: Claudia Sala; Pietro Di Lena; Danielle Fernande...; Italo Faria do Valle; Maria Giulia Baca...; Daniele Dall’Olio; Claudio Franceschi; Gastone Castellani; Paolo Garagnani; Christine Nardini
• Keywords: Epigenomics

Introduction: DNA methylation clocks presents advantageous characteristics with respect to the ambitious goal of identifying very early markers disease, based on concept that accelerated ageing is a reliable predictor in this sense. Methods: Such tools, being epigenomic based, are expected be conditioned by sex and tissue specificities, work about quantifying dependency as well from regression model size training set. Results: Our quantitative results indicate elastic-net penalization best performing strategy, better so when—unsurprisingly—the data set bigger; does not appear condition performances specific perform than generic blood clocks. Finally, when considering all trained clocks, we identified subset genes that, our knowledge, have been presented yet might deserve further investigation: CPT1A, MMP15, SHROOM3, SLIT3, SYNGR. Conclusion: These factual starting points can useful for future medical translation particular debate between multi-tissue generally large majority samples, tissue-specific