Publication type
Journal Article
Authors
- Daniel W. Belsky
- Avshalom Caspi
- David L. Corcoran
- Karen Sugden
- Richie Poulton
- Louise Arseneault
- Andrea Baccarelli
- Kartik Chamarti
- Xu Gao
- Eiliss Hannon
- Hona Lee Harrington
- Renate Houts
- Meeraj Kothari
- Dayoon Kwon
- Jonathan Mill
- Joel Schwartz
- Pantel Vokonas
- Cuicui Wang
- Benjamin S. Williams
- Terrie E. Moffitt
Publication date
January 14, 2022
Summary:
Background:
Measures to quantify changes in the pace of biological aging in response to intervention are needed to evaluate geroprotective interventions for humans. Previously, we showed that quantification of the pace of biological aging from a DNA-methylation blood test was possible (Belsky et al., 2020). Here, we report a next-generation DNA-methylation biomarker of Pace of Aging, DunedinPACE (for Pace of Aging Calculated from the Epigenome).
Methods:
We used data from the Dunedin Study 1972–1973 birth cohort tracking within-individual decline in 19 indicators of organ-system integrity across four time points spanning two decades to model Pace of Aging. We distilled this two-decade Pace of Aging into a single-time-point DNA-methylation blood-test using elastic-net regression and a DNA-methylation dataset restricted to exclude probes with low test-retest reliability. We evaluated the resulting measure, named DunedinPACE, in five additional datasets.
Results:
DunedinPACE showed high test-retest reliability, was associated with morbidity, disability, and mortality, and indicated faster aging in young adults with childhood adversity. DunedinPACE effect-sizes were similar to GrimAge Clock effect-sizes. In analysis of incident morbidity, disability, and mortality, DunedinPACE and added incremental prediction beyond GrimAge.
Conclusions:
DunedinPACE is a novel blood biomarker of the pace of aging for gerontology and geroscience.
Published in
eLife
Volume
Volume: 11:e73420
DOI
https://doi.org/10.7554/eLife.73420
ISSN
2050084
Subjects
Notes
Open Access
This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0
#547601