Evidence map›Paper›PMID 42828354›Full record

ArticleNeurology open access2026

Epigenetic Age and Resilience in the Framingham Heart Study.

Ryan Dacey, Shruti Durape, Mengyao Wang, Phillip H Hwang, Ashita S Gurnani, Ting Fang Alvin Ang, Sherral A Devine, Seo-Eun Choi, Michael Lee, Phoebe Scollard and 16 more

Abstract read
In one paragraph

Article in Neurology open access, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

26 authors.

Ryan DaceyFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine.
Shruti DurapeFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine.
Mengyao WangDepartment of Biostatistics, Boston University School of Public Health.
Phillip H HwangFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine.
Ashita S GurnaniFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine.
Ting Fang Alvin AngFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine.
Sherral A DevineFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine.
Seo-Eun ChoiDepartment of Medicine, University of Washington School of Medicine.
Michael LeeDepartment of Medicine, University of Washington School of Medicine.
Phoebe ScollardDepartment of Medicine, University of Washington School of Medicine.
Shubhabrata MukherjeeDepartment of Medicine, University of Washington School of Medicine.
Emily TrittschuhGeriatric Research, Education, and Clinical Center, Veterans Affairs Puget Sound Health Care System.
Richard ShervaFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine.
Logan DumitrescuVanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center.
Timothy J HohmanVanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center.
Michael L CuccaroThe John P. Hussman Institute for Human Genomics, University of Miami.
Andrew J SaykinIndiana Alzheimer's Disease Research Center, Indiana University School of Medicine.
Paul K CraneDepartment of Medicine, University of Washington School of Medicine.
Yi LiDepartment of Biostatistics, Boston University School of Public Health.
Daniel LevyFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine.
Jiantao MaNutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University.
Chunyu LiuFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine.
Kathryn L LunettaFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine.
Rhoda AuFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine.
Lindsay A FarrerFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine.
Jesse MezFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine.

Funding

TBDU19AG068753 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Thor Stein · 2020 to 2026
$42.4M
MVP Data Integration into the ADSP Phenotype Harmonization ConsortiumU24AG074855 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CUCCARO, MICHAEL L, HOHMAN, TIMOTHY J · 2021 to 2025
$37.5M
RL5: Research Education CoreP30AG072978 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Yorghos Tripodis · 2021 to 2026
$25.6M
The Alzheimer Disease Sequence Analysis CollaborativeU01AG058654 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI BUSH, WILLIAM S, FARRER, LINDSAY A. · 2018 to 2022
$14.6M
EPIDEMIOLOGY OF DEMENTIA IN THE FRAMINGHAM STUDYR01AG008122 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA, SESHADRI, SUDHA · 1989 to 2015
$14.4M
MRI, Genetics &Cognitive Precursors of AD &DementiaR01AG016495 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA · 1999 to 2016
$12.5M
MRI, Cognitive, Genetic & Biomarker Precursors of AD & Dementia in Young AdultsR01AG033040 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA, SESHADRI, SUDHA · 2009 to 2019
$11.2M
Genetic Studies of Alzheimer's Disease in Jewish PopulationsU01AG081230 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Lindsay A. Farrer, Richard Sherva · 2023 to 2026
$10.1M
Genetic Studies of Alzheimer Disease in KoreansU01AG062602 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FARRER, LINDSAY A. · 2019 to 2023
$9.5M
Alzheimer Disease Genetic Architecture in African AmericansR01AG048927 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Lindsay A. Farrer · 2015 to 2026
$8.4M
Leveraging Existing Aging Research Networks to investigate TBI and AD/ADRD risk (LEARN TBI & AD)R01AG061028 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DAMS-O'CONNOR, KRISTEN, MEZ, JESSE BENJAMIN · 2019 to 2023
$5.9M
Epigenetic changes in synaptic and inflammatory genes involved in the age-dependent development of Alzheimer's disease pathologies andcognitive declineRF1AG054156 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA, RYU, HOON · 2016 to 2018
$3.4M
NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01 HC025195NIAAA NIH HHS R01 AA028263NIA NIH HHS P30 AG072978NIA NIH HHS R01 AG008122NIA NIH HHS R01 AG016495NIA NIH HHS R01 AG033040NIA NIH HHS R01 AG048927NIA NIH HHS R01 AG061028NIA NIH HHS RF1 AG054156NIA NIH HHS RF1 AG062109NIA NIH HHS U01 AG058654NIA NIH HHS U01 AG062602NIA NIH HHS U01 AG081230NIA NIH HHS U19 AG068753NIA NIH HHS U24 AG074855
6 · The paper itself

Abstract

Background and Objectives: Growing evidence suggests that decreased epigenetic age relative to chronological age may be protective against late-life cognitive decline and dementia, but the mechanism leading to this resilience is unknown. Methods: DNA methylation (DNAm), plasma total tau (t-tau), MRI total cerebral brain volume (TCBV), and neuropsychological (NP) data were obtained from Framingham Heart Study Offspring cohort participants. Three epigenetic age measures, DunedinPACE, PCPhenoAge, and PCGrimAge, were estimated from DNAm data. DunedinPACE and residuals from regressing PCPhenoAge and PCGrimAge on chronological age were standardized for analysis. Longitudinal NP factor scores were previously derived for memory, language, and executive function (EF) using confirmatory factor analysis. We tested the association of epigenetic age with cognitive trajectories using linear mixed-effects models and with time to mild cognitive impairment (MCI), Alzheimer disease dementia (AD), and all-cause dementia using Cox proportional hazard models and whether t-tau and TCBV moderated the observed relationships. Results: At baseline (Exam 8, 2005-2008), the sample included 2,606 participants [mean age: 66 (SD = 9) years, 55% female, mean education: 16 (SD = 3) years]. Epigenetic age measures were weakly but significantly ( Discussion: Independent of t-tau and TCBV, epigenetic age measures were associated with time to MCI, AD, and all-cause dementia and baseline cognition, but not with cognitive trajectories. The results support epigenetic age measures as markers of resilience through brain reserve. The findings may have important implications regarding use of epigenetic age measures as biomarkers to track the success of interventions targeting resilience.

Identifiers

PMID42828354
PMCPMC13632704

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