Open access · OA
via OpenAlex
Biological Age Predictors
Juulia Jylhävä, Nancy L. Pedersen, Sara Hägg
EBioMedicine · 2017 · ▲ 1,283 citations
Abstract
The search for reliable indicators of biological age, rather than chronological age, has been ongoing for over three decades, and until recently, largely without success. Advances in the fields of molecular biology have increased the variety of potential candidate biomarkers that may be considered as biological age predictors. In this review, we summarize current state-of-the-art findings considering six potential types of biological age predictors: epigenetic clocks, telomere(definition) length, transcriptomic predictors, proteomic predictors, metabolomics-based predictors, and composite biomarker predictors. Promising developments consider multiple combinations of these various types of predictors, which may shed light on the aging process and provide further understanding of what contributes to healthy aging. Thus far, the most promising, new biological age predictor is the epigenetic clock(definition); however its true value as a biomarker of aging requires longitudinal confirmation.
◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:
Provenance
- Source
- OpenAlex
- DOI
- 10.1016/j.ebiom.2017.03.046
- Canonical
- link ↗
- Fetched
- 2026-07-22 MST
Cite this
APA
Jylhävä, J., Pedersen, N.L., & Hägg, S. (2017). Biological Age Predictors. <em>EBioMedicine</em>. https://doi.org/10.1016/j.ebiom.2017.03.046
Vancouver
Jylhävä J, Pedersen NL, Hägg S. Biological Age Predictors. EBioMedicine. 2017. doi:10.1016/j.ebiom.2017.03.046.
BibTeX
@article{juulia2017Biolog,
title = {Biological Age Predictors},
author = {Juulia Jylhävä and Nancy L. Pedersen and Sara Hägg},
journal = {EBioMedicine},
year = {2017},
doi = {10.1016/j.ebiom.2017.03.046},
}
Research neighborhood
References, citing works, and semantically nearest findings. Click a node to open it.
Related findings
The Journals of Gerontology Series A 2019
Preprint · CC-BY
A Systematic Review and Meta-analysis of Environmental, Lifestyle, and Health Factors Associated With DNA Methylation Age
Clinical Epigenetics 2023
Open access · CC-BY
Evaluation of pediatric epigenetic clocks across multiple tissues
Aging cell 2026
Open access · OA
Associations Between 40-Year Trajectories of BMI and Proteomic and Epigenetic Aging Clocks: Deciphering Nonlinearity and Interactions.
EBioMedicine 2016
Open access · OA
Blood Epigenetic Age may Predict Cancer Incidence and Mortality
Clinical Epigenetics 2023
Open access · CC-BY
DNA methylation age at birth and childhood: performance of epigenetic clocks and characteristics associated with epigenetic age acceleration in the Project Viva cohort
Genome biology 2014
Open access · CC-BY