Evidence map›Paper›PMID 31426852›Full record

ArticleClinical epigenetics2019

Novel age-associated DNA methylation changes and epigenetic age acceleration in middle-aged African Americans and whites.

Salman M Tajuddin, Dena G Hernandez, Brian H Chen, Nicole Noren Hooten, Nicolle A Mode, Mike A Nalls, Andrew B Singleton, Ngozi Ejiogu, Kumaraswamy Naidu Chitrala, Alan B Zonderman and 1 more

Open access · goldAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 5 pooled it
4.8field-weighted citation impact, top 4% 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

62 citing papers in PubMed, 5 syntheses or guidelines pooled it, 97 citations in OpenAlex.

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  13. Racial/ethnic differences in the association of lifestyle factors with biological aging in NHANES, 1999-2018.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
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2 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

11 authors at 2 institutions in 1 country.

Salman M TajuddinLaboratory of Epidemiology and Population Science, National Institute on Aging, NIH Biomedical Research Center, 251 Bayview Boulevard Suite 100 Room 4C-222, Baltimore, MD, 21224, USA.
Dena G HernandezLaboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA.
Brian H ChenTranslational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.
Nicole Noren HootenLaboratory of Epidemiology and Population Science, National Institute on Aging, NIH Biomedical Research Center, 251 Bayview Boulevard Suite 100 Room 4C-222, Baltimore, MD, 21224, USA.
Nicolle A ModeLaboratory of Epidemiology and Population Science, National Institute on Aging, NIH Biomedical Research Center, 251 Bayview Boulevard Suite 100 Room 4C-222, Baltimore, MD, 21224, USA.
Mike A NallsLaboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA.
Andrew B SingletonLaboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA.
Ngozi EjioguLaboratory of Epidemiology and Population Science, National Institute on Aging, NIH Biomedical Research Center, 251 Bayview Boulevard Suite 100 Room 4C-222, Baltimore, MD, 21224, USA.
Kumaraswamy Naidu ChitralaLaboratory of Epidemiology and Population Science, National Institute on Aging, NIH Biomedical Research Center, 251 Bayview Boulevard Suite 100 Room 4C-222, Baltimore, MD, 21224, USA.
Alan B ZondermanLaboratory of Epidemiology and Population Science, National Institute on Aging, NIH Biomedical Research Center, 251 Bayview Boulevard Suite 100 Room 4C-222, Baltimore, MD, 21224, USA.
Michele K EvansLaboratory of Epidemiology and Population Science, National Institute on Aging, NIH Biomedical Research Center, 251 Bayview Boulevard Suite 100 Room 4C-222, Baltimore, MD, 21224, USA. me42v@nih.gov.ORCID 0000-0002-8546-2831
National Institute on Aging · USData Tecnica International (United States) · US

Funding

Characterization of Normal Genomic VariabilityZIAAG000932 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW · 2009 to 2024
$11.3M
Vascular Biology: Aging and Endothelial DysfunctionK01AG000988 · NIA · UNIVERSITY OF MISSOURI-COLUMBIA · PI WOODMAN, CHRISTOPHER R · 2001 to 2005
$486k
NIA NIH HHS K01 AG000988
6 · The paper itself

Abstract

backgroundAfrican Americans (AAs) experience premature chronic health outcomes and longevity disparities consistent with an accelerated aging phenotype. DNA methylation (DNAm) levels at specific CpG positions are hallmarks of aging evidenced by the presence of age-associated differentially methylated CpG positions (aDMPs) that are the basis for the epigenetic clock for measuring biological age acceleration. Since DNAm has not been widely studied among non-European populations, we examined the association between DNAm and chronological age in AAs and whites, and the association between race, poverty, sex, and epigenetic age acceleration.

resultsWe measured genome-wide DNA methylation (866,836 CpGs) using the Illumina MethylationEPIC BeadChip in blood DNA extracted from 487 middle-aged AA (N = 244) and white (N = 243), men (N = 248), and women (N = 239). The mean (sd) age was 48.4 (8.8) in AA and 49.0 (8.7) in whites (p = 0.48). We identified 4930 significantly associated aDMPs in AAs and 469 in whites. Of these, 75.6% and 53.1% were novel, largely driven by the increased number of measured CpGs in the EPIC array, in AA and whites, respectively. AAs had more age-associated DNAm changes than whites in genes implicated in age-related diseases and cellular pathways involved in growth and development. We assessed three epigenetic age acceleration measures (universal, intrinsic, and extrinsic). AAs had a significantly slower extrinsic aging compared to whites. Furthermore, compared to AA women, both AA and white men had faster aging in the universal age acceleration measure (+ 2.04 and + 1.24 years, respectively, p < 0.05).

conclusionsAAs have more wide-spread methylation changes than whites. Race and sex interact to underlie biological age acceleration suggesting altered DNA methylation patterns may be important in age-associated health disparities.

Indexed as

DNA MethylationAdultAgedAgingBlack or African AmericanCpG IslandsEpigenesis, GeneticFemaleGene Regulatory NetworksGenome-Wide Association StudyHumansMaleMiddle AgedSocioeconomic FactorsWhite PeopleAfrican AmericansAgingBiological ageDNA methylationEpigenetic clockEpigeneticsEpigenome-wide association studyEuropean ancestryHealth disparitiesRace

Identifiers

PMID31426852
PMCPMC6700815
OpenAlexW2969599391

What OpenQuestion holds

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Registered trials

None linked

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.