Evidence map›Paper›PMID 28385874›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2017

Epigenetic Age Acceleration Assessed with Human White-Matter Images.

Karen Hodgson, Melanie A Carless, Hemant Kulkarni, Joanne E Curran, Emma Sprooten, Emma E Knowles, Samuel Mathias, Harald H H Göring, Nailin Yao, Rene L Olvera and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 15% 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. A Systematic Review and Meta-analysis of Environmental, Lifestyle, and Health Factors Associated With DNA Methylation Age.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Pooled it
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Aging biomarkers and the brain.Seminars in cell & developmental biology · 2021
    Review
  15. Article
  16. Alteration of the brain methylation landscape following postnatal inflammatory injury in rat pups.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
    Article
  17. Article
  18. Article
  19. Review
  20. Observational
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

15 authors at 6 institutions in 1 country.

Karen HodgsonDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06511, hodgson.karen@gmail.com.ORCID 0000-0002-9433-7071
Melanie A CarlessDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, Texas 78227.
Hemant KulkarniSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas 78530.
Joanne E CurranSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas 78530.
Emma SprootenDepartment of Psychiatry, Icahn Medical Institute, New York, New York 10029.
Emma E KnowlesDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06511.
Samuel MathiasDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06511.ORCID 0000-0002-9332-288X
Harald H H GöringSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas 78530.
Nailin YaoDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06511.
Rene L OlveraDepartment of Psychiatry, University of Texas Health Science Center San Antonio, San Antonio, Texas 78229.ORCID 0000-0003-2112-9463
Peter T FoxResearch Imaging Institute, University of Texas Health Science Center San Antonio, San Antonio, Texas 78229, and.
Laura AlmasySouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas 78530.
Ravi DuggiralaSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas 78530.
John BlangeroSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas 78530.ORCID 0000-0001-6250-5723
David C GlahnDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06511.ORCID 0000-0002-4749-6977
The University of Texas Rio Grande Valley · USYale University · USThe University of Texas Health Science Center at San Antonio · USHartford Hospital · USIcahn Enterprises (United States) · USTexas Biomedical Research Institute · US

Funding

Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
Genetics of Brain Structure and FunctionR01MH078143 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2006 to 2014
$4.3M
Genetics of Brain Structure and Function: Genome-Wide AssociationR01MH083824 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2013
$3.3M
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
NIBIB NIH HHS R01 EB015611NIMH NIH HHS R01 MH059490NIMH NIH HHS R01 MH078111NIMH NIH HHS R01 MH078143NIMH NIH HHS R01 MH083824NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

The accurate estimation of age using methylation data has proved a useful and heritable biomarker, with acceleration in epigenetic age predicting a number of age-related phenotypes. Measures of white matter integrity in the brain are also heritable and highly sensitive to both normal and pathological aging processes across adulthood. We consider the phenotypic and genetic interrelationships between epigenetic age acceleration and white matter integrity in humans. Our goal was to investigate processes that underlie interindividual variability in age-related changes in the brain. Using blood taken from a Mexican-American extended pedigree sample (

Indexed as

AdultAgedAged, 80 and overAgingComputer SimulationConnectomeDiffusion Tensor ImagingEpigenesis, GeneticFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedModels, GeneticWhite MatterYoung Adultagingepigeneticsgeneticswhite matter integrity

Identifiers

PMID28385874
PMCPMC5426566
OpenAlexW2605348966

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.