Clocks out of sync: Increased epigenetic aging variability in multiple sclerosis

Epigenetic clocks are composite measures of DNA methylation used as markers of biological age. This study found that epigenetic age acceleration (EAA) exhibits greater variability in individuals with multiple sclerosis (MS) compared to sex- and age-matched healthy controls (HC). Specifically, the standard deviation for PhenoAge in the secondary progressive (SP) MS group was 12.7, which is 1.5 times that of controls. A likelihood ratio test confirmed a significant difference in variance across relapsing remitting (RR) MS, SPMS, and HC groups, with a p-value of 0.017. This heterogeneity suggests future epigenetic aging studies in MS will require larger sample sizes and underscore the need for variance-aware sample size planning.

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Publication Details

Journal
Journal of the Neurological Sciences
Published
2026-03-31
DOI
https://doi.org/10.1016/j.jns.2026.125904
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.00

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article

Clocks out of sync: Increased epigenetic aging variability in multiple sclerosis

Christin E. Burd, Fernanda L. Schumacher, Kellie J. Archer, Yinan Zhang et al.
Journal of the Neurological Sciences
Epigenetics and DNA Methylation
article

Clocks out of sync: Increased epigenetic aging variability in multiple sclerosis

Christin E. Burd, Fernanda L. Schumacher, Kellie J. Archer, Yinan Zhang, Gary Cutter
article en

Abstract

Epigenetic clocks are composite measures of DNA methylation used as markers of biological age. This study found that epigenetic age acceleration (EAA) exhibits greater variability in individuals with multiple sclerosis (MS) compared to sex- and age-matched healthy controls (HC). Specifically, the standard deviation for PhenoAge in the secondary progressive (SP) MS group was 12.7, which is 1.5 times that of controls. A likelihood ratio test confirmed a significant difference in variance across relapsing remitting (RR) MS, SPMS, and HC groups, with a p-value of 0.017. This heterogeneity suggests future epigenetic aging studies in MS will require larger sample sizes and underscore the need for variance-aware sample size planning.

Journal of the Neurological SciencesVol. 485
University of Alabama at Birmingham (US), Institute of Neuroimmunology of the Slovak Academy of Sciences (SK), Cancer Genetics (United States) (US), The Ohio State University (US)
National Multiple Sclerosis Society, National Institute on Aging
Zero hunger
Openalex Percentile: Top 39%
Epigenetics and DNA Methylation
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