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Quantifying the stochastic component of epigenetic aging.

Huige Tong1, Varun B Dwaraka2, Qingwen Chen3

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|May 9, 2024
PubMed
Summary

Epigenetic clocks

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Area of Science:

  • Epigenetics
  • Aging Research
  • Computational Biology

Background:

  • DNA methylation (DNAm) clocks estimate chronological and biological age.
  • The acquisition of age-associated DNAm changes appears quasi-stochastic.
  • Understanding the stochastic component is crucial for interpreting epigenetic clock accuracy.

Purpose of the Study:

  • To quantify the proportion of epigenetic clock accuracy attributable to stochastic DNAm changes.
  • To investigate whether biological aging reflects nonstochastic processes.
  • To differentiate stochastic from nonstochastic drivers of age acceleration.

Main Methods:

  • Development of realistic simulation models using DNAm data from sorted immune cells.
  • Analysis of over 22,770 sorted and whole-blood samples across 25 independent cohorts.
  • Statistical modeling to assess the contribution of stochastic processes to clock accuracy and age acceleration.

Main Results:

  • 66-75% of Horvath's clock accuracy, 90% of Zhang's clock accuracy, and 63% of PhenoAge clock accuracy can be driven by stochastic processes.
  • Age acceleration in males (Horvath's clock) and in severe COVID-19 cases/smokers (PhenoAge clock) are driven by nonstochastic processes.
  • The proportion of stochasticity varies significantly across different epigenetic clocks.

Conclusions:

  • A substantial portion of epigenetic clock accuracy is explained by stochastic DNAm changes.
  • Nonstochastic processes are key drivers of biological aging and specific age acceleration phenomena.
  • These findings refine the interpretation of epigenetic clocks and their relationship to aging.