Evidence map›Paper›PMID 28387568›Full record

ArticleEpigenetics2017

Non-linear patterns in age-related DNA methylation may reflect CD4

Nicholas D Johnson, Howard W Wiener, Alicia K Smith, Shota Nishitani, Devin M Absher, Donna K Arnett, Stella Aslibekyan, Karen N Conneely

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

20 citing papers in PubMed, 41 citations in OpenAlex.

  1. Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Validation of biomarkers of aging.Nature medicine · 2024
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Epigenetic Clock: DNA Methylation in Aging.Stem cells international · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

8 authors at 4 institutions in 1 country.

Nicholas D Johnsona Department of Human Genetics , Emory University , Atlanta , GA , USA.
Howard W Wienerb Department of Epidemiology , University of Alabama at Birmingham , Birmingham , AL , USA.
Alicia K Smithc Department of Gynecology and Obstetrics , Emory University , Atlanta , GA , USA.
Shota Nishitanic Department of Gynecology and Obstetrics , Emory University , Atlanta , GA , USA.
Devin M Abshere HudsonAlpha Institute for Biotechnology , Huntsville , AL , USA.
Donna K Arnettf College of Public Health , University of Kentucky , Lexington , KY , USA.
Stella Aslibekyanb Department of Epidemiology , University of Alabama at Birmingham , Birmingham , AL , USA.
Karen N Conneelya Department of Human Genetics , Emory University , Atlanta , GA , USA.
Emory University · USUniversity of Alabama at Birmingham · USHudsonAlpha Institute for Biotechnology · USUniversity of Kentucky · US

Funding

Epigenetic Determinants of Lipid Response to Dietary Fat and FenofibrateR01HL104135 · NHLBI · UNIVERSITY OF KENTUCKY · PI ARNETT, DONNA K · 2010 to 2015
$5.5M
Genetic and estrogen-dependent regulation of the human PAC1R receptor and PTSDR01MH096764 · NIMH · MCLEAN HOSPITAL · PI RESSLER, KERRY J. · 2012 to 2016
$2.1M
Genetic & Environmental Risk Factors that Contribute to Childhood PsychopathologyK01MH085806 · NIMH · EMORY UNIVERSITY · PI SMITH, ALICIA K · 2010 to 2013
$522k
NHLBI NIH HHS R01 HL104135NIMH NIH HHS K01 MH085806NIMH NIH HHS R01 MH096764
6 · The paper itself

Abstract

DNA methylation (DNAm) is an important epigenetic process involved in the regulation of gene expression. While many studies have identified thousands of loci associated with age, few have differentiated between linear and non-linear DNAm trends with age. Non-linear trends could indicate early- or late-life gene regulatory processes. Using data from the Illumina 450K array on 336 human peripheral blood samples, we identified 21 CpG sites that associated with age (P<1.03E-7) and exhibited changing rates of DNAm change with age (P<1.94E-6). For 2 of these CpG sites (cg07955995 and cg22285878), DNAm increased with age at an increasing rate, indicating that differential DNAm was greatest among elderly individuals. We observed significant replication for both CpG sites (P<5.0E-8) in a second set of peripheral blood samples. In 8 of 9 additional data sets comprising samples of monocytes, T cell subtypes, and brain tissue, we observed a pattern directionally consistent with DNAm increasing with age at an increasing rate, which was nominally significant in the 3 largest data sets (4.3E-15<P<0.039). cg07955995 and cg22285878 reside in the promoter region of KLF14, which encodes a protein involved in immune cell differentiation via the repression of FOXP3. These findings may suggest a possible role for cg07955995 and cg22285878 in immunosenescence.

Indexed as

Epigenesis, GeneticAdolescentAdultAgedAgingCD4-Positive T-LymphocytesCell DifferentiationCpG IslandsDNA MethylationFemaleGene Expression ProfilingHumansMaleMiddle AgedPromoter Regions, GeneticAgingDNA methylationFOXP3, immunosenescenceKLF14

Identifiers

PMID28387568
PMCPMC5501198
OpenAlexW2605064045

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.