Application of a mathematical model to clarify the statistical characteristics of a pan-tissue DNA methylation clock

HANDLE

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.

収録刊行物

  • GeroScience

    GeroScience 46 (2), 2001-2015, 2024-04

    Springer Nature

キーワード

詳細情報 詳細情報について

  • CRID
    1050580561477629824
  • ISSN
    25092723
  • HANDLE
    2433/286854
  • 本文言語コード
    en
  • 資料種別
    journal article
  • データソース種別
    • IRDB

問題の指摘

ページトップへ