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Association of 4 epigenetic clocks with measures of functional health, cognition, and all-cause mortality in The Irish Longitudinal Study on Ageing (TILDA)
Cathal McCrory, Giovanni Fiorito, Belinda Hernández, Silvia Polidoro, Aisling M O’Halloran, Ann M. Hever, Clíona Ní Cheallaigh, Ake Tzu-Hui Lu, Steve Horvath, Paolo Vineis, Rose Anne Kenny
bioRxiv (Cold Spring Harbor Laboratory) · 2020 · ▲ 10 citations
Abstract
ABSTRACT The aging process is characterized by the presence of high interindividual variation between individuals of the same chronical age prompting a search for biomarkers that capture this heterogeneity. The present study examines the associations of four epigenetic clocks - Horvath, Hannum, PhenoAge, GrimAge - with a wide range of clinical phenotypes, and with all-cause mortality at up to 10-year follow-up in a sample of 490 participants in the Irish Longitudinal Study on Ageing. Results indicate that the GrimAge clock represents a step-improvement in the predictive utility of the epigenetic clocks for identifying age-related decline in an array of clinical phenotypes.
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- 10.1101/2020.04.27.063164
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- 2026-10-16 MST
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APA
McCrory, C., Fiorito, G., Hernández, B., Polidoro, S., O’Halloran, A.M., Hever, A.M., Cheallaigh, C.N., Lu, A.T., Horvath, S., Vineis, P., & Kenny, R.A. (2020). Association of 4 epigenetic clocks with measures of functional health, cognition, and all-cause mortality in The Irish Longitudinal Study on Ageing (TILDA). <em>bioRxiv (Cold Spring Harbor Laboratory)</em>. https://doi.org/10.1101/2020.04.27.063164
Vancouver
McCrory C, Fiorito G, Hernández B, Polidoro S, O’Halloran AM, Hever AM, et al. Association of 4 epigenetic clocks with measures of functional health, cognition, and all-cause mortality in The Irish Longitudinal Study on Ageing (TILDA). bioRxiv (Cold Spring Harbor Laboratory). 2020. doi:10.1101/2020.04.27.063164.
BibTeX
@unpublished{cathal2020Associ,
title = {Association of 4 epigenetic clocks with measures of functional health, cognition, and all-cause mortality in The Irish Longitudinal Study on Ageing (TILDA)},
author = {Cathal McCrory and Giovanni Fiorito and Belinda Hernández and Silvia Polidoro and Aisling M O’Halloran and Ann M. Hever and Clíona Ní Cheallaigh and Ake Tzu-Hui Lu and Steve Horvath and Paolo Vineis and Rose Anne Kenny},
journal = {bioRxiv (Cold Spring Harbor Laboratory)},
year = {2020},
doi = {10.1101/2020.04.27.063164},
}
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