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タイトル: | Application of a mathematical model to clarify the statistical characteristics of a pan-tissue DNA methylation clock |
著者: | Okada, Daigo |
著者名の別形: | 岡田, 大瑚 |
キーワード: | Bioinformatics Computational biology DNA methylation Epigenetic clock Epigenomics Mathematical model Machine learning |
発行日: | Apr-2024 |
出版者: | Springer Nature |
誌名: | GeroScience |
巻: | 46 |
号: | 2 |
開始ページ: | 2001 |
終了ページ: | 2015 |
抄録: | DNA methylation clocks estimate biological age based on DNA methylation profiles. This study developed a mathematical model to describe DNA methylation aging and the establishment of a pan-tissue DNA methylation clock. The model simulates the aging dynamics of DNA methylation profiles based on passive demethylation as well as the process of cross-sectional bulk data acquisition. As a result, this study identified two conditions under which the pan-tissue DNA methylation clock can successfully predict biological age: one condition is that the target tissues are sufficiently well represented in the training dataset, and the other condition is that the target sample contains cell subsets that are common among different tissues. When either of these conditions is met, the clock performs well. It is also suggested that the epigenetic age of all samples in the target tissue tends to be either over or underestimated when biological age prediction fails. The model can reveal the statistical characteristics of DNA methylation clocks. |
著作権等: | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11357-023-00949-5 The full-text file will be made open to the public on 03 October 2024 in accordance with publisher's 'Terms and Conditions for Self-Archiving'. This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 |
URI: | http://hdl.handle.net/2433/286854 |
DOI(出版社版): | 10.1007/s11357-023-00949-5 |
PubMed ID: | 37787856 |
出現コレクション: | 学術雑誌掲載論文等 |
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