1. Epidemiology and Global Health
Download icon

Aging and Geroscience: Putting epigenetic biomarkers to the test for clinical trials

  1. Jamie N Justice  Is a corresponding author
  2. Stephen B Kritchevsky
  1. Internal Medicine Section on Gerontology and Geriatrics, Wake Forest School of Medicine, United States
  2. Sticht Center for Healthy Aging and Alzheimer’s Prevention, Wake Forest School of Medicine, United States
Insight
Cite this article as: eLife 2020;9:e58592 doi: 10.7554/eLife.58592
1 figure

Figures

Assessing DNA methylation biomarkers for use in clinical trials in geroscience.

How do five DNA methylation-based biomarkers (listed in row 1) fare when assessed against four biomarker criteria for clinical trials targeting aging (listed in column 1)? All five biomarkers meet the first three criteria, but none as yet satisfy the fourth criterion. Row 2 lists how each biomarker was calibrated. Horvath and Hannum are both epigenetic age estimators (Horvath, 2013; Hannum et al., 2013); GrimAge is a mortality estimator (Lu et al., 2019); PhenoAge is a health and lifespan biomarker (Levine et al., 2018); and DunedinPoAm is an estimator of change in aging phenotype over time (Belsky et al., 2020).

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Download citations (links to download the citations from this article in formats compatible with various reference manager tools)

Open citations (links to open the citations from this article in various online reference manager services)