Evidence map›Paper›PMID 36802439›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Epigenetic-based age acceleration in a representative sample of older Americans: Associations with aging-related morbidity and mortality.

Jessica D Faul, Jung Ki Kim, Morgan E Levine, Bharat Thyagarajan, David R Weir, Eileen M Crimmins

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 158 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
158citing papers in PubMed, 1 pooled it
29.2field-weighted citation impact, top 1% of its field
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

158 citing papers in PubMed, 1 synthesis or guideline pooled it, 188 citations in OpenAlex.

  1. Pooled it
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  13. Epigenetic aging and blood based neurodegeneration markers in LASI-DAD.The journal of prevention of Alzheimer's disease · 2026
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98 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

6 authors at 4 institutions in 1 country.

Jessica D FaulSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104.
Jung Ki KimDavis School of Gerontology, University of Southern California, Los Angeles, CA 90089.ORCID 0000-0002-4842-0579
Morgan E LevineDepartment of Pathology, Yale School of Medicine, New Haven, CT 06510.ORCID 0000-0001-9890-9324
Bharat ThyagarajanDepartment of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN 55455.
David R WeirSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104.
Eileen M CrimminsDavis School of Gerontology, University of Southern California, Los Angeles, CA 90089.ORCID 0000-0001-5459-5239
University of Michigan · USUniversity of Southern California · USUniversity of Minnesota Medical Center · USYale University · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
USC/UCLA Center on Biodemography &Population HealthP30AG017265 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, HIRAM BELTRAN-SANCHEZ · 1999 to 2026
$17.9M
Biological Aging Across the Life Course: Harmonizing Cohort Biospecimen ArchivesR01AG071071 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, Lauren M Gaydosh · 2021 to 2026
$3.0M
Social Circumstances and Epigenomics Promoting Health in Three CountriesR01AG068937 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CRIMMINS, EILEEN M, FAUL, JESSICA · 2020 to 2025
$2.9M
Biological Underpinnings of Socioeconomic Differentials in Health and MortalityR01AG060110 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CRIMMINS, EILEEN M · 2018 to 2022
$2.6M
Biological Risk Underlying Education Health DifferencesR01AG023347 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CRIMMINS, EILEEN M. · 2003 to 2006
$1.4M
NIA NIH HHS P30 AG017265NIA NIH HHS R01 AG023347NIA NIH HHS R01 AG060110NIA NIH HHS R01 AG068937NIA NIH HHS R01 AG071071NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

Biomarkers developed from DNA methylation (DNAm) data are of growing interest as predictors of health outcomes and mortality in older populations. However, it is unknown how epigenetic aging fits within the context of known socioeconomic and behavioral associations with aging-related health outcomes in a large, population-based, and diverse sample. This study uses data from a representative, panel study of US older adults to examine the relationship between DNAm-based age acceleration measures in the prediction of cross-sectional and longitudinal health outcomes and mortality. We examine whether recent improvements to these scores, using principal component (PC)-based measures designed to remove some of the technical noise and unreliability in measurement, improve the predictive capability of these measures. We also examine how well DNAm-based measures perform against well-known predictors of health outcomes such as demographics, SES, and health behaviors. In our sample, age acceleration calculated using "second and third generation clocks," PhenoAge, GrimAge, and DunedinPACE, is consistently a significant predictor of health outcomes including cross-sectional cognitive dysfunction, functional limitations and chronic conditions assessed 2 y after DNAm measurement, and 4-y mortality. PC-based epigenetic age acceleration measures do not significantly change the relationship of DNAm-based age acceleration measures to health outcomes or mortality compared to earlier versions of these measures. While the usefulness of DNAm-based age acceleration as a predictor of later life health outcomes is quite clear, other factors such as demographics, SES, mental health, and health behaviors remain equally, if not more robust, predictors of later life outcomes.

Indexed as

AgingEpigenesis, GeneticAccelerationAgedBiomarkersCross-Sectional StudiesDNA MethylationHumansBiomarkersagingbiological agingDNA methylationepigenetic clocksgeroscience

Identifiers

PMID36802439
PMCPMC9992763
OpenAlexW4321440558

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.