Development of a novel transcriptomic measure of aging: Transcriptomic Mortality-risk Age (TraMA)

Increasingly, research suggests that aging is a coordinated multi-system decline in functioning that occurs at multiple biological levels. We developed and validated a transcriptomic (RNA-based) aging measure we call Transcriptomic Mortality-risk Age (TraMA) using RNA-seq data from the 2016 Health and Retirement Study using elastic net Cox regression analyses to predict 4-year mortality hazard. In a holdout test sample, TraMA was associated with earlier mortality, more chronic conditions, poorer cognitive functioning, and more limitations in activities of daily living. TraMA was also externally validated in the Long Life Family Study and several publicly available datasets. Results suggest that TraMA is a robust, portable RNAseq-based aging measure that is comparable, but independent from past biological aging measures (e.g., GrimAge). TraMA is likely to be of particular value to researchers interested in understanding the biological processes underlying health and aging, and for social, psychological, epidemiological, and demographic studies of health and aging.

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Publication Details

Journal
Aging
Published
2025-06-13
DOI
https://doi.org/10.18632/aging.206272
Citations
2
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
1.61

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article

Development of a novel transcriptomic measure of aging: Transcriptomic Mortality-risk Age (TraMA)

Eileen M. Crimmins, Gokul Seshadri, Thalida Em Arpawong, Steve Cole et al.
2 citations
Aging
Epigenetics and DNA Methylation
1.61
article

Development of a novel transcriptomic measure of aging: Transcriptomic Mortality-risk Age (TraMA)

Eileen M. Crimmins, Gokul Seshadri, Thalida Em Arpawong, Steve Cole, Eric T. Klopack, Bharat Thyagarajan
article en
2 citations

Abstract

Increasingly, research suggests that aging is a coordinated multi-system decline in functioning that occurs at multiple biological levels. We developed and validated a transcriptomic (RNA-based) aging measure we call Transcriptomic Mortality-risk Age (TraMA) using RNA-seq data from the 2016 Health and Retirement Study using elastic net Cox regression analyses to predict 4-year mortality hazard. In a holdout test sample, TraMA was associated with earlier mortality, more chronic conditions, poorer cognitive functioning, and more limitations in activities of daily living. TraMA was also externally validated in the Long Life Family Study and several publicly available datasets. Results suggest that TraMA is a robust, portable RNAseq-based aging measure that is comparable, but independent from past biological aging measures (e.g., GrimAge). TraMA is likely to be of particular value to researchers interested in understanding the biological processes underlying health and aging, and for social, psychological, epidemiological, and demographic studies of health and aging.

AgingVol. 17(6)
University of Southern California (US), University of Minnesota (US), University of California, Los Angeles (US)
University of Southern California, National Institutes of Health
Good health and well-being
Openalex Percentile: Top 17%
Epigenetics and DNA Methylation
1.61
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Development of a novel transcriptomic measure of aging: Transcriptomic Mortality-risk Age (TraMA) — Eileen M. Crimmins, Gokul Seshadri, et al. · Aging (2025) | TGRS Research Map | TGRS