Mortality Associations With DNA Methylation-Based Biological Aging and Physical Functioning Measures Across a 20-Year Follow-up Period

Author:

Föhr Tiina1ORCID,Waller Katja2ORCID,Viljanen Anne1,Rantanen Taina1ORCID,Kaprio Jaakko3,Ollikainen Miina34,Sillanpää Elina135ORCID

Affiliation:

1. Faculty of Sport and Health Sciences, Gerontology Research Center (GEREC), University of Jyväskylä , Jyväskylä , Finland

2. Faculty of Sport and Health Sciences, University of Jyväskylä , Jyväskylä , Finland

3. Institute for Molecular Medicine Finland (FIMM), University of Helsinki , Helsinki , Finland

4. Minerva Foundation Institute for Medical Research , Helsinki , Finland

5. Central Finland Wellbeing Services County , Jyväskylä , Finland

Abstract

AbstractBackgroundMeasures of biological aging range from DNA methylation (DNAm)-based estimates to measures of physical abilities. The purpose of this study was to compare DNAm- and physical functioning-based measures of biological aging in predicting mortality.MethodsWe studied 63- to 76-year-old women (N = 395) from the Finnish Twin Study on Aging (FITSA). Participants’ biological age (epigenetic clocks DNAm GrimAge and DunedinPACE) was estimated using blood DNAm data. Tests of physical functioning conducted under standardized laboratory conditions included the Timed Up and Go (TUG) test and 10-m walk test. Mortality hazard ratios were calculated per every 1 standard deviation (SD) increase in the predictor. Cox regression models were conducted for individuals and twin pairs, the latter controlling for underlying genetic effects. The models were adjusted for known lifestyle predictors of mortality.ResultsDuring the follow-up period (mean 17.0 years, range 0.2–20.3), 187 participants died. In both the individual-based and pairwise analyses, GrimAge and both functional biomarkers of aging were associated with mortality independent of family relatedness, chronological age, physical activity, body mass index, smoking, education, or chronic diseases. In a model including both the DNAm-based measures and functional biomarkers of aging, GrimAge and TUG remained predictive.ConclusionsThe findings suggest that DNAm GrimAge and the TUG test are strong predictors of mortality independent of each others and genetic influences. DNAm-based measures and functional tests capture different aspects of the aging process and thus complement each other as measures of biological aging in predicting mortality.

Funder

Academy of Finland

EPITRAIN

University of Helsinki Research Funds

Sigrid Juselius Foundation

Juho Vainio Foundation

Päivikki and Sakari Sohlberg Foundation

Yrjö Jahnsson Foundation

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Aging

Reference49 articles.

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