Edinburgh Research Explorer

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

Research output: Contribution to journalArticle

  • Olivera Story Jovanova
  • Ivana Nedeljkovic
  • Derek Spieler
  • Chunyu Liu
  • Jan Bressler
  • Jennifer Brody
  • Rahul Gondalia
  • Sonja Kunze
  • Brigitte Kuhnel
  • Jari Lahti
  • Rozenn N. Lemaitre
  • Brenton Swenson
  • Jayandra Jung Himali
  • Hongsheng Wu
  • Yun Li
  • Allan F. Mcrae
  • James Stewart
  • Zhiying Wang
  • Guosheng Zhang
  • Karl-heinz Ladwig
  • Andre G. Uitterlinden
  • Xiuqing Guo
  • Annette Peters
  • Katri Räikkönen
  • Melanie Waldenberger
  • Naomi R. Wray
  • Eric A. Whitsel
  • Nona Sotoodehnia
  • Sudha Seshadri
  • Joyce Van Meurs
  • Thomas H. Mosley
  • Michael M. Mendelson
  • Daniel Levy
  • Lifang Hou
  • Johan G. Eriksson
  • Myriam Fornage
  • Andrea Baccarelli
  • Henning Tiemeier
  • Najaf Amin

Related Edinburgh Organisations

Open Access permissions

Open

Documents

  • Download as Adobe PDF

    Rights statement: This is the author's peer-reviewed manuscript as accepted for publication.

    Accepted author manuscript, 4 MB, PDF document

http://archpsyc.jamanetwork.com/article.aspx?doi=10.1001/jamapsychiatry.2018.1725
Original languageEnglish
Pages (from-to)949-959
JournalJAMA Psychiatry
Volume75
Issue number9
Early online date11 Jul 2018
DOIs
Publication statusPublished - Sep 2018

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.

Download statistics

No data available

ID: 60080876