A

A computational solution for bolstering reliability of epigenetic clocks: Implications for clinical trials and longitudinal tracking

bioRxiv (Cold Spring Harbor Laboratory)

Abstract

Abstract Epigenetic clocks are widely used aging biomarkers calculated from DNA methylation data. Unfortunately, measurements for individual CpGs can be surprisingly unreliable due to technical noise, and this may limit the utility of epigenetic clocks. We report that noise produces deviations up to 3 to 9 years between technical replicates for six major epigenetic clocks. The elimination of low-reliability CpGs does not ameliorate this issue. Here, we present a novel computational multi-step solution to address this noise, involving performing principal component analysis on the CpG-level data followed by biological age prediction using principal components as input. This method extracts shared systematic variation in DNAm while minimizing random noise from individual CpGs. Our novel principal-component versions of six clocks show agreement between most technical replicates within 0 to 1.5 years, equivalent or improved prediction of outcomes, and more stable trajectories in longitudinal studies and cell culture. This method entails only one additional step compared to traditional clocks, does not require prior knowledge of CpG reliabilities, and can improve the reliability of any existing or future epigenetic biomarker. The high reliability of principal component-based epigenetic clocks will make them particularly useful for applications in personalized medicine and clinical trials evaluating novel aging interventions.

Authors 23

  1. Albert Higgins‐Chen corresponding

    Yale University

    Affiliation as printed

    Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA

  2. Yale University

    Affiliation as printed

    Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA

  3. Karolinska Institutet

    Affiliation as printed

    Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden

  4. National Institute on Aging

    Affiliation as printed

    Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA

  5. Yale University

    Affiliation as printed

    Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA

  6. Yale University

    Affiliation as printed

    Department of Pathology, Yale University School of Medicine, New Haven, CT, USA

  7. National Institute on Aging

    Affiliation as printed

    Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA

  8. Affiliation as printed

    Geriatric Unit, Azienda Sanitaria Toscana Centro, Florence, Italy

  9. Amsterdam UMC Location University of Amsterdam · Amsterdam University Medical Centers

    Affiliation as printed

    Department of Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands

  10. Leiden University Medical Center

    Affiliation as printed

    Department Psychiatry, Leiden University Medical Center, Leiden, The Netherlands

  11. Maastricht University Medical Centre

    Affiliation as printed

    School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Maastricht University Medical Centre, Maastricht, The Netherlands

  12. Utrecht University · University Medical Center Utrecht · Ministry of Defence

    Affiliation as printed

    Brain Research & Innovation Centre, Ministry of Defence, Utrecht, the Netherlands

    Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, The Netherlands

  13. Utrecht University · University Medical Center Utrecht

    Affiliation as printed

    Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, The Netherlands

  14. Utrecht University · University Medical Center Utrecht

    Affiliation as printed

    Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, The Netherlands

  15. Humboldt-Universität zu Berlin · Charité - Universitätsmedizin Berlin

    Affiliation as printed

    Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany

  16. Humboldt-Universität zu Berlin · Charité - Universitätsmedizin Berlin

    Affiliation as printed

    Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany

  17. Utrecht University · University Medical Center Utrecht

    Affiliation as printed

    Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, The Netherlands

  18. National Institute on Aging

    Affiliation as printed

    Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA

  19. University of Southern California

    Affiliation as printed

    Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA

  20. Utrecht University · University Medical Center Utrecht

    Affiliation as printed

    Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, The Netherlands

  21. Karolinska Institutet

    Affiliation as printed

    Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden

  22. Elysium Health, Inc. (United States)

    Affiliation as printed

    Elysium Health, Inc, New York, NY, USA

  23. Morgan E. Levine corresponding

    Yale University

    Affiliation as printed

    Department of Pathology, Yale University School of Medicine, New Haven, CT, USA

Cited by 41 stored of 43

No patents citing this paper on Lens.org (checked 2026-10-11).

References 58