Identification and replication of RNA-Seq gene network modules associated with depression severity

Trang T. Le, Jonathan Savitz, Hideo Suzuki, Masaya Misaki, T. Kent Teague, Bill C. White, Julie H. Marino, Graham Wiley, Patrick M. Gaffney, Wayne C. Drevets, Brett A. McKinney, Jerzy Bodurka

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Genomic variation underlying major depressive disorder (MDD) likely involves the interaction and regulation of multiple genes in a network. Data-driven co-expression network module inference has the potential to account for variation within regulatory networks, reduce the dimensionality of RNA-Seq data, and detect significant gene-expression modules associated with depression severity. We performed an RNA-Seq gene co-expression network analysis of mRNA data obtained from the peripheral blood mononuclear cells of unmedicated MDD (n = 78) and healthy control (n = 79) subjects. Across the combined MDD and HC groups, we assigned genes into modules using hierarchical clustering with a dynamic tree cut method and projected the expression data onto a lower-dimensional module space by computing the single-sample gene set enrichment score of each module. We tested the single-sample scores of each module for association with levels of depression severity measured by the Montgomery-Åsberg Depression Scale (MADRS). Independent of MDD status, we identified 23 gene modules from the co-expression network. Two modules were significantly associated with the MADRS score after multiple comparison adjustment (adjusted p = 0.009, 0.028 at 0.05 FDR threshold), and one of these modules replicated in a previous RNA-Seq study of MDD (p = 0.03). The two MADRS-associated modules contain genes previously implicated in mood disorders and show enrichment of apoptosis and B cell receptor signaling. The genes in these modules show a correlation between network centrality and univariate association with depression, suggesting that intramodular hub genes are more likely to be related to MDD compared to other genes in a module.

Original languageEnglish (US)
Article number180
JournalTranslational Psychiatry
Volume8
Issue number1
DOIs
StatePublished - Dec 1 2018

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Gene Regulatory Networks
Major Depressive Disorder
RNA
Depression
Genes
Gene Expression
Social Adjustment
Mood Disorders
Cluster Analysis
Blood Cells
B-Lymphocytes
Apoptosis
Messenger RNA

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience
  • Biological Psychiatry

Cite this

Identification and replication of RNA-Seq gene network modules associated with depression severity. / Le, Trang T.; Savitz, Jonathan; Suzuki, Hideo; Misaki, Masaya; Teague, T. Kent; White, Bill C.; Marino, Julie H.; Wiley, Graham; Gaffney, Patrick M.; Drevets, Wayne C.; McKinney, Brett A.; Bodurka, Jerzy.

In: Translational Psychiatry, Vol. 8, No. 1, 180, 01.12.2018.

Research output: Contribution to journalArticle

Le, TT, Savitz, J, Suzuki, H, Misaki, M, Teague, TK, White, BC, Marino, JH, Wiley, G, Gaffney, PM, Drevets, WC, McKinney, BA & Bodurka, J 2018, 'Identification and replication of RNA-Seq gene network modules associated with depression severity', Translational Psychiatry, vol. 8, no. 1, 180. https://doi.org/10.1038/s41398-018-0234-3
Le, Trang T. ; Savitz, Jonathan ; Suzuki, Hideo ; Misaki, Masaya ; Teague, T. Kent ; White, Bill C. ; Marino, Julie H. ; Wiley, Graham ; Gaffney, Patrick M. ; Drevets, Wayne C. ; McKinney, Brett A. ; Bodurka, Jerzy. / Identification and replication of RNA-Seq gene network modules associated with depression severity. In: Translational Psychiatry. 2018 ; Vol. 8, No. 1.
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