Towards a gene expression biomarker set for human biological age

Alice C. Holly, David Melzer, Luke C. Pilling, William Henley, Dena G. Hernandez, Andrew B. Singleton, Stefania Bandinelli, Jack M. Guralnik, Luigi Ferrucci, Lorna W. Harries

Research output: Contribution to journalArticle

Abstract

We have previously described a statistical model capable of distinguishing young (age -2, 3.5 3 10-4, 1.8 3 10-2, 1.5 3 10-2, respectively). We conclude that our expression signature of age is robust across three populations and may have utility for estimation of biological age.

Original languageEnglish (US)
Pages (from-to)324-326
Number of pages3
JournalAging Cell
Volume12
Issue number2
DOIs
StatePublished - 2013
Externally publishedYes

Keywords

  • Biological aging
  • Cell senescence
  • Mrna expression
  • Predictive model.

ASJC Scopus subject areas

  • Cell Biology
  • Aging

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  • Cite this

    Holly, A. C., Melzer, D., Pilling, L. C., Henley, W., Hernandez, D. G., Singleton, A. B., Bandinelli, S., Guralnik, J. M., Ferrucci, L., & Harries, L. W. (2013). Towards a gene expression biomarker set for human biological age. Aging Cell, 12(2), 324-326. https://doi.org/10.1111/acel.12044