ArticleFrontiers in genetics2019
Co-Expression Network Analysis Revealed That the
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- Analysis of Genomic and Transcriptomic Data Revealed Key Genes and Processes in the Development of Major Depressive Disorder.International journal of molecular sciences · 2025Article
- Integrative gene and isoform co-expression networks reveal regulatory rewiring in stress-related psychiatric disorders.iScience · 2025Article
- Evaluation of mRNA expression level of the ATP synthase membrane subunit c locus 1 (Biochemistry and biophysics reports · 2022Article
- Identification of differentially expressed and methylated genes and construction of a co-expression network in age-related macular degeneration.Annals of translational medicine · 2022Article
- Co-Expression Network Modeling Identifies Specific Inflammation and Neurological Disease-Related Genes mRNA Modules in Mood Disorder.Frontiers in genetics · 2022Article
- Biological, Psychological, and Social Determinants of Depression: A Review of Recent Literature.Brain sciences · 2021Review
- Transcriptomic signatures of psychomotor slowing in peripheral blood of depressed patients: evidence for immunometabolic reprogramming.Molecular psychiatry · 2021Article
- Genetic Association Between Schizophrenia and Cortical Brain Surface Area and Thickness.JAMA psychiatry · 2021Article
- Review
- Animal models for the study of depressive disorder.CNS neuroscience & therapeutics · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Major depressive disorder (MDD) is a leading cause of disability worldwide, although its etiology and mechanism remain unknown. The aim of our study was to identify hub genes associated with MDD and to illustrate the underlying mechanisms. A weighted gene co-expression network analysis (WGCNA) was performed to identify significant gene modules and hub genes associated with MDD in peripheral blood mononuclear cells (PBMCs) (
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What OpenQuestion holds
Registered trials
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.