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Quantification of the pace of biological aging in humans through a blood test, the DunedinPoAm DNA methylation algorithm.

Publication ,  Journal Article
Belsky, DW; Caspi, A; Arseneault, L; Baccarelli, A; Corcoran, DL; Gao, X; Hannon, E; Harrington, HL; Rasmussen, LJ; Houts, R; Huffman, K ...
Published in: Elife
May 5, 2020

Biological aging is the gradual, progressive decline in system integrity that occurs with advancing chronological age, causing morbidity and disability. Measurements of the pace of aging are needed as surrogate endpoints in trials of therapies designed to prevent disease by slowing biological aging. We report a blood-DNA-methylation measure that is sensitive to variation in pace of biological aging among individuals born the same year. We first modeled change-over-time in 18 biomarkers tracking organ-system integrity across 12 years of follow-up in n = 954 members of the Dunedin Study born in 1972-1973. Rates of change in each biomarker over ages 26-38 years were composited to form a measure of aging-related decline, termed Pace-of-Aging. Elastic-net regression was used to develop a DNA-methylation predictor of Pace-of-Aging, called DunedinPoAm for Dunedin(P)ace(o)f(A)ging(m)ethylation. Validation analysis in cohort studies and the CALERIE trial provide proof-of-principle for DunedinPoAm as a single-time-point measure of a person's pace of biological aging.

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Published In

Elife

DOI

EISSN

2050-084X

Publication Date

May 5, 2020

Volume

9

Location

England

Related Subject Headings

  • Risk Factors
  • Middle Aged
  • Male
  • Humans
  • Female
  • DNA Methylation
  • Cognitive Dysfunction
  • Cognition
  • Chronic Disease
  • Algorithms
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Belsky, D. W., Caspi, A., Arseneault, L., Baccarelli, A., Corcoran, D. L., Gao, X., … Moffitt, T. E. (2020). Quantification of the pace of biological aging in humans through a blood test, the DunedinPoAm DNA methylation algorithm. Elife, 9. https://doi.org/10.7554/eLife.54870
Belsky, Daniel W., Avshalom Caspi, Louise Arseneault, Andrea Baccarelli, David L. Corcoran, Xu Gao, Eiliss Hannon, et al. “Quantification of the pace of biological aging in humans through a blood test, the DunedinPoAm DNA methylation algorithm.Elife 9 (May 5, 2020). https://doi.org/10.7554/eLife.54870.
Belsky DW, Caspi A, Arseneault L, Baccarelli A, Corcoran DL, Gao X, et al. Quantification of the pace of biological aging in humans through a blood test, the DunedinPoAm DNA methylation algorithm. Elife. 2020 May 5;9.
Belsky, Daniel W., et al. “Quantification of the pace of biological aging in humans through a blood test, the DunedinPoAm DNA methylation algorithm.Elife, vol. 9, May 2020. Pubmed, doi:10.7554/eLife.54870.
Belsky DW, Caspi A, Arseneault L, Baccarelli A, Corcoran DL, Gao X, Hannon E, Harrington HL, Rasmussen LJ, Houts R, Huffman K, Kraus WE, Kwon D, Mill J, Pieper CF, Prinz JA, Poulton R, Schwartz J, Sugden K, Vokonas P, Williams BS, Moffitt TE. Quantification of the pace of biological aging in humans through a blood test, the DunedinPoAm DNA methylation algorithm. Elife. 2020 May 5;9.

Published In

Elife

DOI

EISSN

2050-084X

Publication Date

May 5, 2020

Volume

9

Location

England

Related Subject Headings

  • Risk Factors
  • Middle Aged
  • Male
  • Humans
  • Female
  • DNA Methylation
  • Cognitive Dysfunction
  • Cognition
  • Chronic Disease
  • Algorithms