A systematic review and meta-analysis of environmental, lifestyle and health factors associated with DNA methylation age

Joanne Ryan, Jo Wrigglesworth, Jun Loong, Peter D Fransquet, Robyn Woods

Research output: Contribution to journalReview ArticleResearchpeer-review

Abstract

DNA methylation (DNAm) algorithms of biological age provide a robust estimate of an individual’s chronological age, and can predict of their risk of age-related disease and mortality. This study reviewed the evidence that environmental, lifestyle and health factors are associated with the Horvath and Hannum epigenetic clocks. A systematic search identified 61 studies. Chronological age was correlated with DNAm age in blood (median 0.83, range 0.13-0.99). DNAm age was positively associated with frailty (three studies, n=3,093), and education was negatively associated with the Hannum estimate of DNAm age specifically (four studies, n=13,955). For most other exposures, findings were too inconsistent to draw conclusions. In a meta-analysis BMI was associated with increased DNAm age (Hannum β: 0.07, 95%CI 0.04 to 0.10; Horvath β:0.06, 95%CI 0.02 to 0.10), but there was no association with smoking (Hannum β:0.12, 95%CI -0.50 to 0.73; Horvath β:0.18, 95%CI -0.10 to 0.46). In conclusion, BMI were positively associated with biological ageing measured using DNAm, with some evidence that frailty also increased ageing. More research is needed to provide conclusive evidence regarding other exposures. This field of research has the potential to provide further insights into how to promote slower biological aging and ultimately prolong healthy life.
Original languageEnglish
Number of pages60
JournalJournal of Gerontology Series A: Biological Sciences and Medical Sciences
DOIs
Publication statusAccepted/In press - 17 Apr 2019

Cite this

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title = "A systematic review and meta-analysis of environmental, lifestyle and health factors associated with DNA methylation age",
abstract = "DNA methylation (DNAm) algorithms of biological age provide a robust estimate of an individual’s chronological age, and can predict of their risk of age-related disease and mortality. This study reviewed the evidence that environmental, lifestyle and health factors are associated with the Horvath and Hannum epigenetic clocks. A systematic search identified 61 studies. Chronological age was correlated with DNAm age in blood (median 0.83, range 0.13-0.99). DNAm age was positively associated with frailty (three studies, n=3,093), and education was negatively associated with the Hannum estimate of DNAm age specifically (four studies, n=13,955). For most other exposures, findings were too inconsistent to draw conclusions. In a meta-analysis BMI was associated with increased DNAm age (Hannum β: 0.07, 95{\%}CI 0.04 to 0.10; Horvath β:0.06, 95{\%}CI 0.02 to 0.10), but there was no association with smoking (Hannum β:0.12, 95{\%}CI -0.50 to 0.73; Horvath β:0.18, 95{\%}CI -0.10 to 0.46). In conclusion, BMI were positively associated with biological ageing measured using DNAm, with some evidence that frailty also increased ageing. More research is needed to provide conclusive evidence regarding other exposures. This field of research has the potential to provide further insights into how to promote slower biological aging and ultimately prolong healthy life.",
author = "Joanne Ryan and Jo Wrigglesworth and Jun Loong and Fransquet, {Peter D} and Robyn Woods",
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doi = "10.1093/gerona/glz099",
language = "English",
journal = "Journal of Gerontology Series A: Biological Sciences and Medical Sciences",
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A systematic review and meta-analysis of environmental, lifestyle and health factors associated with DNA methylation age. / Ryan, Joanne; Wrigglesworth, Jo; Loong, Jun; Fransquet, Peter D; Woods, Robyn.

In: Journal of Gerontology Series A: Biological Sciences and Medical Sciences, 17.04.2019.

Research output: Contribution to journalReview ArticleResearchpeer-review

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AU - Woods, Robyn

PY - 2019/4/17

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N2 - DNA methylation (DNAm) algorithms of biological age provide a robust estimate of an individual’s chronological age, and can predict of their risk of age-related disease and mortality. This study reviewed the evidence that environmental, lifestyle and health factors are associated with the Horvath and Hannum epigenetic clocks. A systematic search identified 61 studies. Chronological age was correlated with DNAm age in blood (median 0.83, range 0.13-0.99). DNAm age was positively associated with frailty (three studies, n=3,093), and education was negatively associated with the Hannum estimate of DNAm age specifically (four studies, n=13,955). For most other exposures, findings were too inconsistent to draw conclusions. In a meta-analysis BMI was associated with increased DNAm age (Hannum β: 0.07, 95%CI 0.04 to 0.10; Horvath β:0.06, 95%CI 0.02 to 0.10), but there was no association with smoking (Hannum β:0.12, 95%CI -0.50 to 0.73; Horvath β:0.18, 95%CI -0.10 to 0.46). In conclusion, BMI were positively associated with biological ageing measured using DNAm, with some evidence that frailty also increased ageing. More research is needed to provide conclusive evidence regarding other exposures. This field of research has the potential to provide further insights into how to promote slower biological aging and ultimately prolong healthy life.

AB - DNA methylation (DNAm) algorithms of biological age provide a robust estimate of an individual’s chronological age, and can predict of their risk of age-related disease and mortality. This study reviewed the evidence that environmental, lifestyle and health factors are associated with the Horvath and Hannum epigenetic clocks. A systematic search identified 61 studies. Chronological age was correlated with DNAm age in blood (median 0.83, range 0.13-0.99). DNAm age was positively associated with frailty (three studies, n=3,093), and education was negatively associated with the Hannum estimate of DNAm age specifically (four studies, n=13,955). For most other exposures, findings were too inconsistent to draw conclusions. In a meta-analysis BMI was associated with increased DNAm age (Hannum β: 0.07, 95%CI 0.04 to 0.10; Horvath β:0.06, 95%CI 0.02 to 0.10), but there was no association with smoking (Hannum β:0.12, 95%CI -0.50 to 0.73; Horvath β:0.18, 95%CI -0.10 to 0.46). In conclusion, BMI were positively associated with biological ageing measured using DNAm, with some evidence that frailty also increased ageing. More research is needed to provide conclusive evidence regarding other exposures. This field of research has the potential to provide further insights into how to promote slower biological aging and ultimately prolong healthy life.

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