Human epigenetic ageing is logarithmic with time across the entire lifespan

Epigenetic changes during ageing have been characterized by multiple epigenetic clocks that allow the prediction of chronological age based on methylation status. Despite their accuracy and utility, epigenetic age biomarkers leave many questions about epigenetic ageing unanswered. Specifically, they...

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Main Authors: Sagi Snir, Colin Farrell, Matteo Pellegrini
Format: Article
Language:English
Published: Taylor & Francis Group 2019-09-01
Series:Epigenetics
Subjects:
Online Access:http://dx.doi.org/10.1080/15592294.2019.1623634
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author Sagi Snir
Colin Farrell
Matteo Pellegrini
author_facet Sagi Snir
Colin Farrell
Matteo Pellegrini
author_sort Sagi Snir
collection DOAJ
description Epigenetic changes during ageing have been characterized by multiple epigenetic clocks that allow the prediction of chronological age based on methylation status. Despite their accuracy and utility, epigenetic age biomarkers leave many questions about epigenetic ageing unanswered. Specifically, they do not permit the unbiased characterization of non-linear epigenetic ageing trends across entire life spans, a critical question underlying this field of research. Here we provide an integrated framework to address this question. Our model, inspired from evolutionary models, is able to account for acceleration/deceleration in epigenetic changes by fitting an individual’s model age, the epigenetic age, which is related to chronological age in a non-linear fashion. Application of this model to DNA methylation data measured across broad age ranges, from before birth to old age, and from two tissue types, suggests a universal logarithmic trend characterizes epigenetic ageing across entire lifespans.
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spelling doaj.art-5103be5003e44ac1a90857f7eaf860c02023-09-21T13:09:22ZengTaylor & Francis GroupEpigenetics1559-22941559-23082019-09-0114991292610.1080/15592294.2019.16236341623634Human epigenetic ageing is logarithmic with time across the entire lifespanSagi Snir0Colin Farrell1Matteo Pellegrini2University of HaifaUniversity of CaliforniaUniversity of CaliforniaEpigenetic changes during ageing have been characterized by multiple epigenetic clocks that allow the prediction of chronological age based on methylation status. Despite their accuracy and utility, epigenetic age biomarkers leave many questions about epigenetic ageing unanswered. Specifically, they do not permit the unbiased characterization of non-linear epigenetic ageing trends across entire life spans, a critical question underlying this field of research. Here we provide an integrated framework to address this question. Our model, inspired from evolutionary models, is able to account for acceleration/deceleration in epigenetic changes by fitting an individual’s model age, the epigenetic age, which is related to chronological age in a non-linear fashion. Application of this model to DNA methylation data measured across broad age ranges, from before birth to old age, and from two tissue types, suggests a universal logarithmic trend characterizes epigenetic ageing across entire lifespans.http://dx.doi.org/10.1080/15592294.2019.1623634agingdna methylation
spellingShingle Sagi Snir
Colin Farrell
Matteo Pellegrini
Human epigenetic ageing is logarithmic with time across the entire lifespan
Epigenetics
aging
dna methylation
title Human epigenetic ageing is logarithmic with time across the entire lifespan
title_full Human epigenetic ageing is logarithmic with time across the entire lifespan
title_fullStr Human epigenetic ageing is logarithmic with time across the entire lifespan
title_full_unstemmed Human epigenetic ageing is logarithmic with time across the entire lifespan
title_short Human epigenetic ageing is logarithmic with time across the entire lifespan
title_sort human epigenetic ageing is logarithmic with time across the entire lifespan
topic aging
dna methylation
url http://dx.doi.org/10.1080/15592294.2019.1623634
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