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Systematic underestimation of the epigenetic clock and age acceleration in older subjects

Louis Y. El Khoury, T.J. Gorrie-Stone, Melissa Smart, Amanda Hughes, Yanchun Bao, Alexandria Andrayas, Joe Burrage, Eilís Hannon, Meena Kumari, Jonathan Mill, Leonard C. Schalkwyk

Genome biology · 2019 · ▲ 153 citations

Abstract

BACKGROUND: The Horvath epigenetic clock(definition) is widely used. It predicts age quite well from 353 CpG sites in the DNA methylation profile in unknown samples and has been used to calculate "age acceleration" in various tissues and environments. RESULTS: The model systematically underestimates age in tissues from older people. This is seen in all examined tissues but most strongly in the cerebellum and is consistently observed in multiple datasets. Age acceleration is thus age-dependent, and this can lead to spurious associations. The current literature includes examples of association tests with age acceleration calculated in a wide variety of ways. CONCLUSIONS: The concept of an epigenetic clock is compelling, but caution should be taken in interpreting associations with age acceleration. Association tests of age acceleration should include age as a covariate.

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Provenance

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OpenAlex
DOI
10.1186/s13059-019-1810-4
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2026-07-22 MST

Cite this

APA
Khoury, L.Y.E., Gorrie-Stone, T., Smart, M., Hughes, A., Bao, Y., Andrayas, A., Burrage, J., Hannon, E., Kumari, M., Mill, J., &amp; Schalkwyk, L.C. (2019). Systematic underestimation of the epigenetic clock and age acceleration in older subjects. <em>Genome biology</em>. https://doi.org/10.1186/s13059-019-1810-4
Vancouver
Khoury LYE, Gorrie-Stone T, Smart M, Hughes A, Bao Y, Andrayas A, et al. Systematic underestimation of the epigenetic clock and age acceleration in older subjects. Genome biology. 2019. doi:10.1186/s13059-019-1810-4.
BibTeX
@article{louis2019System, title = {Systematic underestimation of the epigenetic clock and age acceleration in older subjects}, author = {Louis Y. El Khoury and T.J. Gorrie-Stone and Melissa Smart and Amanda Hughes and Yanchun Bao and Alexandria Andrayas and Joe Burrage and Eilís Hannon and Meena Kumari and Jonathan Mill and Leonard C. Schalkwyk}, journal = {Genome biology}, year = {2019}, doi = {10.1186/s13059-019-1810-4}, }

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