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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Epigenetic changes alter the physical structure of the DNA without changing the genetic sequence and often regulate whether genes are turned on or off. This regulation ensures that each cell produces only proteins necessary for its function. For example, proteins that promote bone growth are not produced in muscle cells. Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
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A Semiautomated ChIP-Seq Procedure for Large-scale Epigenetic Studies
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Longitudinal changes in epigenetic measures over 2 years: methodological implications.

Rikuta Hamaya1, Sidong Li2, Brian H Chen3

  • 1Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 900 Commonwealth Ave, Boston, MA, USA. rhamaya@bwh.harvard.edu.

Geroscience
|November 11, 2025
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Summary
This summary is machine-generated.

Epigenetic clocks show stability in healthy older adults over two years. Principal component versions offer greater measurement stability, suggesting they are reliable for aging research and clinical trials.

Keywords:
DNA methylationEpigenetic clockLongitudinal analysis

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Area of Science:

  • Epigenetics and Aging Research
  • Biomarker Development for Gerontology

Background:

  • Epigenetic clocks are proposed as surrogate endpoints in aging clinical trials.
  • Their short-term behavior in healthy older adults requires further characterization.

Purpose of the Study:

  • To evaluate the short-term behavior and stability of various epigenetic clocks in older adults.
  • To assess the suitability of epigenetic clocks as surrogate endpoints in aging interventions.

Main Methods:

  • Analyzed DNA methylation data from 899 participants (mean age 70) at baseline, year 1, and year 2.
  • Derived Horvath, Hannum, PhenoAge, and GrimAge clocks (original and principal component versions) and DunedinPACE.
  • Computed epigenetic age acceleration and analyzed stability using linear mixed-effects models and correlation analyses.

Main Results:

  • Principal component (PC) clocks demonstrated greater measurement stability with smaller 2-year change variance compared to original clocks.
  • Statistically detectable but numerically small annual increases in epigenetic age acceleration were observed for some PC clocks.
  • Baseline epigenetic clock values strongly predicted future measures (R² ≈ 0.71-0.88 for PC clocks), indicating high predictability.

Conclusions:

  • Current epigenetic measures, especially PC clocks, are stable and highly predictable over 2 years in healthy older adults.
  • These findings suggest limited sensitivity to short-term changes, supporting their use in aging trials.
  • Empirical standard deviations and correlations support ANCOVA-based methods for future trial analysis and power calculations.