Evidence map›Paper›PMID 36812475›Full record

ArticleAging2023

DNAmFitAge: biological age indicator incorporating physical fitness.

Kristen M McGreevy, Zsolt Radak, Ferenc Torma, Matyas Jokai, Ake T Lu, Daniel W Belsky, Alexandra Binder, Riccardo E Marioni, Luigi Ferrucci, Ewelina Pośpiech and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

68 citing papers in PubMed.

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8 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Kristen M McGreevyDepartment of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA.
Zsolt RadakResearch Institute of Sport Science, University of Physical Education, Budapest, Hungary.
Ferenc TormaResearch Institute of Sport Science, University of Physical Education, Budapest, Hungary.
Matyas JokaiResearch Institute of Sport Science, University of Physical Education, Budapest, Hungary.
Ake T LuSan Diego Institute of Science, Altos Labs, San Diego, CA 92121, USA.
Daniel W BelskyDepartment of Epidemiology and Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, NY 10032, USA.
Alexandra BinderDepartment of Cancer Epidemiology, University of Hawaii, Honolulu, HI 96813, USA.
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK.
Luigi FerrucciLongitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
Ewelina PośpiechMałopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland.
Wojciech BranickiInstitute of Zoology and Biomedical Research, Faculty of Biology, Jagiellonian University, Kraków, Poland.
Andrzej OssowskiDepartment of Forensic Genetics, Pomeranian Medical University in Szczecin, Szczecin, Poland.
Aneta SitekDepartment of Anthropology, Faculty of Biology and Environmental Protection, University of Łódź, Łódź, Poland.
Magdalena SpólnickaCentral Forensic Laboratory of the Police, Warsaw, Poland.
Laura M RaffieldDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Alex P ReinerDepartment of Epidemiology, University of Washington, Seattle, WA 98195, USA.
Simon CoxLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
Michael KoborDepartment of Medical Genetics, University of British Columbia, Vancouver, Canada.
David L CorcoranLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Steve HorvathDepartment of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA.

Funding

ENHANCING THE CALERIE NETWORK TO ADVANCE AGING BIOLOGYR33AG070455 · NIA · DUKE UNIVERSITY · PI KIM M. HUFFMAN, WILLIAM E KRAUS · 2021 to 2026
$4.0M
Validation and optimization of epigenetic clocksU01AG060908 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2018 to 2022
$3.4M
Long-term multi-omics follow-up of the CALERIE Trial to generate new knowledge for geroscienceR01AG061378 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Daniel Walker Belsky · 2019 to 2026
$2.9M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
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Medical Research Council G0701120Medical Research Council G1001245Medical Research Council MR/M013111/1Medical Research Council MR/R024065/1NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018CNHLBI NIH HHS HHSN268201800010INHLBI NIH HHS HHSN268201800011CNHLBI NIH HHS HHSN268201800011INHLBI NIH HHS HHSN268201800012CNHLBI NIH HHS HHSN268201800012INHLBI NIH HHS HHSN268201800014CNHLBI NIH HHS HHSN268201800014INHLBI NIH HHS HHSN268201800015INHLBI NIH HHS N01 HC025195NIA NIH HHS R01 AG061378NIA NIH HHS R33 AG070455NIA NIH HHS U01 AG060908NIMHD NIH HHS HHSN268201800013IWellcome Trust
6 · The paper itself

Abstract

Physical fitness is a well-known correlate of health and the aging process and DNA methylation (DNAm) data can capture aging via epigenetic clocks. However, current epigenetic clocks did not yet use measures of mobility, strength, lung, or endurance fitness in their construction. We develop blood-based DNAm biomarkers for fitness parameters gait speed (walking speed), maximum handgrip strength, forced expiratory volume in one second (FEV1), and maximal oxygen uptake (VO2max) which have modest correlation with fitness parameters in five large-scale validation datasets (average r between 0.16-0.48). We then use these DNAm fitness parameter biomarkers with DNAmGrimAge, a DNAm mortality risk estimate, to construct DNAmFitAge, a new biological age indicator that incorporates physical fitness. DNAmFitAge is associated with low-intermediate physical activity levels across validation datasets (

Indexed as

Environmental BiomarkersHand StrengthAgingBiomarkersDNA MethylationEpigenesis, GeneticFemaleHumansMalePhysical FitnessBiomarkersEnvironmental Biomarkersagingbiological ageDNA methylationepigeneticsphysical fitness

Identifiers

PMID36812475
PMCPMC10258016

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.