Evidence map›Paper›PMID 29998287›Full record

SynthesisJAMA psychiatry2018

DNA Methylation Signatures of Depressive Symptoms in Middle-aged and Elderly Persons: Meta-analysis of Multiethnic Epigenome-wide Studies.

Olivera Story Jovanova, Ivana Nedeljkovic, Derek Spieler, Rosie M Walker, Chunyu Liu, Michelle Luciano, Jan Bressler, Jennifer Brody, Amanda J Drake, Kathryn L Evans and 39 more

Erratum issuedOpen access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in JAMA psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 72 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 7 pooled it
4.9field-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

72 citing papers in PubMed, 7 syntheses or guidelines pooled it, 106 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Trial
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Genome-wide methylome-based molecular pathologies associated with depression and suicide.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
    Article
  18. Review
  19. Article
  20. Article

12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

49 authors at 19 institutions in 6 countries.

Olivera Story JovanovaDepartment of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands.
Ivana NedeljkovicDepartment of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands.
Derek SpielerInstitute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany.
Rosie M WalkerCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom.
Chunyu LiuThe Framingham Heart Study, Framingham, Massachusetts.
Michelle LucianoCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom.
Jan BresslerHuman Genetics Center, University of Texas Health Science Center at Houston.
Jennifer BrodyCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle.
Amanda J DrakeUniversity/British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom.
Kathryn L EvansCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom.
Rahul GondaliaDepartment of Epidemiology, University of North Carolina at Chapel Hill.
Sonja KunzeInstitute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany.
Brigitte KuhnelInstitute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany.
Jari LahtiDepartment of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Rozenn N LemaitreCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle.
Riccardo E MarioniCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom.
Brenton SwensonCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle.
Jayandra Jung HimaliThe Framingham Heart Study, Framingham, Massachusetts.
Hongsheng WuComputer Science and Networking, Wentworth Institute of Technology, Boston, Massachusetts.
Yun LiDepartment of Genetics, University of North Carolina at Chapel Hill.
Allan F McRaeInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
Tom C RussCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom.
James StewartDepartment of Epidemiology, University of North Carolina at Chapel Hill.
Zhiying WangHuman Genetics Center, University of Texas Health Science Center at Houston.
Guosheng ZhangDepartment of Genetics, University of North Carolina at Chapel Hill.
Karl-Heinz LadwigInstitute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany.
Andre G UitterlindenDepartment of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands.
Xiuqing GuoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Harbor-University of California Los Angeles (UCLA) Medical Center.
Annette PetersInstitute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany.
Katri RäikkönenDepartment of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
John M StarrCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom.
Melanie WaldenbergerInstitute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany.
Naomi R WrayInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
Eric A WhitselDepartment of Epidemiology, University of North Carolina at Chapel Hill.
Nona SotoodehniaCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle.
Sudha SeshadriThe Framingham Heart Study, Framingham, Massachusetts.
David J PorteousCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom.
Joyce van MeursDepartment of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands.
Thomas H MosleyMIND Center, University of Mississippi Medical Center, Jackson.
Andrew M McIntoshCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom.
Michael M MendelsonThe Framingham Heart Study, Framingham, Massachusetts.
Daniel LevyThe Framingham Heart Study, Framingham, Massachusetts.
Lifang HouFeinberg School of Medicine, Northwestern University, Chicago, Illinois.
Johan G ErikssonDepartment of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland.
Myriam FornageHuman Genetics Center, University of Texas Health Science Center at Houston.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom.
Andrea BaccarelliDepartment of Environmental Health Sciences, Harvard T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
Henning TiemeierDepartment of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands.
Najaf AminDepartment of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands.
British Heart Foundation · GBErasmus MC · NLUniversity of North Carolina at Chapel Hill · USHelmholtz Zentrum München · DEUniversity of Edinburgh · GBUniversity of Washington · USMRC Institute of Genetics and Molecular Medicine · GBThe University of Texas Health Science Center at Houston · USFramingham Heart Study · USKlinik und Poliklinik für Psychosomatische Medizin und Psychotherapie · DEUniversity of Helsinki · FIUniversity of Queensland · AUAlzheimer Scotland · GBHarvard University · USJackson Memorial Hospital · USNational Heart Lung and Blood Institute · USRoyal Edinburgh Hospital · GBUniversity of California, Los Angeles · USWentworth Institute of Technology · US

Funding

UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
PRECURSORS OF STROKE INCIDENCE AND PROGNOSISR01NS017950 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Hugo Javier Aparicio, Jose Rafael Romero · 1985 to 2026
$22.9M
Temporal Trends, Novel Imaging and Molecular Characterization of Preclinical and Clinical Alzheimer's Disease in the Framingham CohortsR01AG054076 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DECARLI, CHARLES, SESHADRI, SUDHA · 2016 to 2020
$12.3M
CHARGE: Identifying Risk & Protective SNV for AD in ADSP Case-control SampleU01AG049505 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SESHADRI, SUDHA · 2014 to 2017
$3.0M
An Integrated Genetic and Epigenetic Approach to Cerebral Small Vessel DiseaseR01NS087541 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A., FORNAGE, MYRIAM · 2014 to 2017
$2.5M
ADSP Follow-up in Multi-Ethnic Cohorts via Endophenotypes, Omics & Model SystemsU01AG052409 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FORNAGE, MYRIAM, SESHADRI, SUDHA · 2016 to 2020
$1.6M
Circulating Epigenetic Biomarkers for Personalized Cardiovascular Disease PreventionK99HL136875 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI MENDELSON, MICHAEL MAXWELL · 2017 to 2018
$330k
Medical Research Council MR/K026992/1NHLBI NIH HHS K99 HL136875NIA NIH HHS P30 AG010129NIA NIH HHS R01 AG054076NIA NIH HHS U01 AG049505NIA NIH HHS U01 AG052409NINDS NIH HHS R01 NS017950NINDS NIH HHS R01 NS087541
6 · The paper itself

Abstract

Importance: Depressive disorders arise from a combination of genetic and environmental risk factors. Epigenetic disruption provides a plausible mechanism through which gene-environment interactions lead to depression. Large-scale, epigenome-wide studies on depression are missing, hampering the identification of potentially modifiable biomarkers. Objective: To identify epigenetic mechanisms underlying depression in middle-aged and elderly persons, using DNA methylation in blood. Design, Setting, and Participants: To date, the first cross-ethnic meta-analysis of epigenome-wide association studies (EWAS) within the framework of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium was conducted. The discovery EWAS included 7948 individuals of European origin from 9 population-based cohorts. Participants who were assessed for both depressive symptoms and whole-blood DNA methylation were included in the study. Results of EWAS were pooled using sample-size weighted meta-analysis. Replication of the top epigenetic sites was performed in 3308 individuals of African American and European origin from 2 population-based cohorts. Main Outcomes and Measures: Whole-blood DNA methylation levels were assayed with Illumina-Infinium Human Methylation 450K BeadChip and depressive symptoms were assessed by questionnaire. Results: The discovery cohorts consisted of 7948 individuals (4104 [51.6%] women) with a mean (SD) age of 65.4 (5.8) years. The replication cohort consisted of 3308 individuals (2456 [74.2%] women) with a mean (SD) age of 60.3 (6.4) years. The EWAS identified methylation of 3 CpG sites to be significantly associated with increased depressive symptoms: cg04987734 (P = 1.57 × 10-08; n = 11 256; CDC42BPB gene), cg12325605 (P = 5.24 × 10-09; n = 11 256; ARHGEF3 gene), and an intergenic CpG site cg14023999 (P = 5.99 × 10-08; n = 11 256; chromosome = 15q26.1). The predicted expression of the CDC42BPB gene in the brain (basal ganglia) (effect, 0.14; P = 2.7 × 10-03) and of ARHGEF3 in fibroblasts (effect, -0.48; P = 9.8 × 10-04) was associated with major depression. Conclusions and Relevance: This study identifies 3 methylated sites associated with depressive symptoms. All 3 findings point toward axon guidance as the common disrupted pathway in depression. The findings provide new insights into the molecular mechanisms underlying the complex pathophysiology of depression. Further research is warranted to determine the utility of these findings as biomarkers of depression and evaluate any potential role in the pathophysiology of depression and their downstream clinical effects.

Indexed as

DepressionDNA MethylationAgedEpigenesis, GeneticGene-Environment InteractionGenome-Wide Association StudyHumansMiddle Aged

Identifiers

PMID29998287
PMCPMC6142917
OpenAlexW2817495207

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.