ReviewGenes, brain, and behavior2014
Beyond modules and hubs: the potential of gene coexpression networks for investigating molecular mechanisms of complex brain disorders.
Review in Genes, brain, and behavior, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 papers, 5 of them syntheses that pooled it.
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Who cites it
167 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- A Systematic Review of Genetics- and Molecular-Pathway-Based Machine Learning Models for Neurological Disorder Diagnosis.International journal of molecular sciences · 2024Pooled it
- Gene expression profiles in sporadic ALS fibroblasts define disease subtypes and the metabolic effects of the investigational drug EH301.Human molecular genetics · 2022Pooled it
- Co-expression of calcium and hERG potassium channels reduces the incidence of proarrhythmic events.Cardiovascular research · 2021Pooled it
- MetaDCN: meta-analysis framework for differential co-expression network detection with an application in breast cancer.Bioinformatics (Oxford, England) · 2017Pooled it
- Gene Network Rewiring to Study Melanoma Stage Progression and Elements Essential for Driving Melanoma.PloS one · 2015Pooled it
- Predicting functions of uncharacterized gene products from microbial communities.Nature biotechnology · 2026Article
- Systems genetic dissection of brain gene expression reveals excitotoxic mechanisms of Alzheimer's disease.Molecular psychiatry · 2026Article
- Article
- Copula modeling of gene coexpression in single-cell RNA sequencing data.bioRxiv : the preprint server for biology · 2025Article
- Sex-dependent relationships between PFAS and placental transcriptomics identified by weighted gene co-expression analysis.Environmental research · 2025Article
- Identification of Ageing-related Hub Genes in Humans, Mouse and Rat Based on Bioinformatics Analysis.Annals of neurosciences · 2025Article
- Gene module-trait network analysis uncovers cell type specific systems and genes relevant to Alzheimer's Disease.Acta neuropathologica communications · 2025Article
- Exposure to early-life stress uncovers shared biological signatures underlying vulnerability in the habenula and insular cortex of male and female adult rats.Neurobiology of stress · 2025Article
- Integrated systems biology reveals an 8-gene signature predicting early-stage lung adenocarcinoma progression and patient survival.Scientific reports · 2025Article
- Telomere-Related Gene Networks in the Ovary Shift Across Environmental Factors.Journal of experimental zoology. Part A, Ecological and integrative physiology · 2025Article
- Multi-omics integration at cell type resolution uncovers gene-metabolite mechanisms underlying osteoarthritis heterogeneity.bioRxiv : the preprint server for biology · 2025Article
- Introduction to correlation networks: Interdisciplinary approaches beyond thresholding.Physics reports · 2025Article
- 3D IntelliGenes: AI/ML application using multi-omics data for biomarker discovery and disease prediction with multi-dimensional visualization.BMC medical research methodology · 2025Article
- A spectral framework to map QTLs affecting joint differential networks of gene co-expression.PLoS computational biology · 2025Article
- Alzheimer's disease-related cortical proteins modify the association of brain insulin signaling with cognitive decline.Journal of Alzheimer's disease : JAD · 2025Article
107 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
Funding
Abstract
In a research environment dominated by reductionist approaches to brain disease mechanisms, gene network analysis provides a complementary framework in which to tackle the complex dysregulations that occur in neuropsychiatric and other neurological disorders. Gene-gene expression correlations are a common source of molecular networks because they can be extracted from high-dimensional disease data and encapsulate the activity of multiple regulatory systems. However, the analysis of gene coexpression patterns is often treated as a mechanistic black box, in which looming 'hub genes' direct cellular networks, and where other features are obscured. By examining the biophysical bases of coexpression and gene regulatory changes that occur in disease, recent studies suggest it is possible to use coexpression networks as a multi-omic screening procedure to generate novel hypotheses for disease mechanisms. Because technical processing steps can affect the outcome and interpretation of coexpression networks, we examine the assumptions and alternatives to common patterns of coexpression analysis and discuss additional topics such as acceptable datasets for coexpression analysis, the robust identification of modules, disease-related prioritization of genes and molecular systems and network meta-analysis. To accelerate coexpression research beyond modules and hubs, we highlight some emerging directions for coexpression network research that are especially relevant to complex brain disease, including the centrality-lethality relationship, integration with machine learning approaches and network pharmacology.
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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.