ArticleFrontiers in psychiatry2021
Weighted Gene Coexpression Network Analysis Reveals Essential Genes and Pathways in Bipolar Disorder.
Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Article
- Investigation of Genetic Changes in Three Families with Bipolar Disease.Molecular syndromology · 2024Article
- Brain proteomic analysis implicates actin filament processes and injury response in resilience to Alzheimer's disease.Nature communications · 2023Article
- Prediction Model for Sensory Perception Abnormality in Autism Spectrum Disorder.International journal of molecular sciences · 2023Article
- Association between DRD2/ANKK1 rs1800497 C > T polymorphism and post-traumatic stress disorder susceptibility: a multivariate meta-analysis.Frontiers in neuroscience · 2023Article
- Prenatal and postnatal challenges affect the hypothalamic molecular pathways that regulate hormonal levels.PloS one · 2023Article
- Differential expression of gene co-expression networks related to the mTOR signaling pathway in bipolar disorder.Translational psychiatry · 2022Article
- Identification of Key Genes as Early Warning Signals of Acute Myocardial Infarction Based on Weighted Gene Correlation Network Analysis and Dynamic Network Biomarker Algorithm.Frontiers in immunology · 2022Article
- Identification of Signature Genes and Construction of an Artificial Neural Network Model of Prostate Cancer.Journal of healthcare engineering · 2022Article
- Co-Expression Networks Unveiled Long Non-Coding RNAs as Molecular Targets of Drugs Used to Treat Bipolar Disorder.Frontiers in pharmacology · 2022Article
- Network Analysis Reveals Different Cellulose Degradation Strategies AcrossFrontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bipolar disorder (BD) is a major and highly heritable mental illness with severe psychosocial impairment, but its etiology and pathogenesis remains unclear. This study aimed to identify the essential pathways and genes involved in BD using weighted gene coexpression network analysis (WGCNA), a bioinformatic method studying the relationships between genes and phenotypes. Using two available BD gene expression datasets (GSE5388, GSE5389), we constructed a gene coexpression network and identified modules related to BD. The analyses of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways were performed to explore functional enrichment of the candidate modules. A protein-protein interaction (PPI) network was further constructed to identify the potential hub genes. Ten coexpression modules were identified from the top 5,000 genes in 77 samples and three modules were significantly associated with BD, which were involved in several biological processes (e.g., the actin filament-based process) and pathways (e.g., MAPK signaling). Four genes (
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Registered trials
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