ArticleBioinformatics (Oxford, England)2015
PsyGeNET: a knowledge platform on psychiatric disorders and their genes.
Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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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.
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Who cites it
56 citing papers in PubMed.
- Molecular Characterization of the Progressive Landscape of Depression.bioRxiv : the preprint server for biology · 2026Article
- Multi-Network Co-expression Analysis Enhances Biological Insights from Single-Cell Gene Expression.Interdisciplinary sciences, computational life sciences · 2026Article
- Disrupted Estrogen Homeostasis Drives Female-Specific Depressive-Like and Anxiety-Like Behaviors via Convergent ERα Downregulation in the Ventral Hippocampus.International journal of biological sciences · 2026Article
- Environmental context modulates sociability in ube3a zebrafish mutants via alterations in sensory pathways.Molecular psychiatry · 2026Article
- NGS Approaches in Clinical Diagnostics: From Workflow to Disease-Specific Applications.International journal of molecular sciences · 2025Review
- Similar Normalizing Effect of HSP70 and YB-1 Stress Proteins on the Brain Transcription of a Mouse Model of Alzheimer's Disease.Molecular neurobiology · 2025Article
- Single-nucleus chromatin accessibility profiling identifies cell types and functional variants contributing to major depression.Nature genetics · 2025Article
- A Mouse Model of Sporadic Alzheimer's Disease with Elements of Major Depression.Molecular neurobiology · 2025Article
- Changes in RNA Splicing: A New Paradigm of Transcriptional Responses to Probiotic Action in the Mammalian Brain.Microorganisms · 2025Article
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- Shared Proteins and Pathways of Cardiovascular and Cognitive Diseases: Relation to Vascular Cognitive Impairment.Journal of proteome research · 2024Article
- Is There a Natural, Non-addictive, and Non-anti-reward, Safe, Gene-based Solution to Treat Reward Deficiency Syndrome? KB220 Variants vs GLP-1 Analogs.Journal of addiction psychiatry · 2024Article
- Baseline levels of miR-223-3p correlate with the effectiveness of electroconvulsive therapy in patients with major depression.Translational psychiatry · 2023Article
- XGDAG: explainable gene-disease associations via graph neural networks.Bioinformatics (Oxford, England) · 2023Article
- Integrating spatial and single-nucleus transcriptomic data elucidates microglial-specific responses in female cynomolgus macaques with depressive-like behaviors.Nature neuroscience · 2023Article
- Alzheimer's disease: using gene/protein network machine learning for molecule discovery in olive oil.Human genomics · 2023Article
- Genome-wide analyses reveal novel opioid use disorder loci and genetic overlap with schizophrenia, bipolar disorder, and major depression.Addiction biology · 2023Article
- Lacking mechanistic disease definitions and corresponding association data hamper progress in network medicine and beyond.Nature communications · 2023Article
- Depressive patient-derived GABA interneurons reveal abnormal neural activity associated with HTR2C.EMBO molecular medicine · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
unlabelledPsyGeNET (Psychiatric disorders and Genes association NETwork) is a knowledge platform for the exploratory analysis of psychiatric diseases and their associated genes. PsyGeNET is composed of a database and a web interface supporting data search, visualization, filtering and sharing. PsyGeNET integrates information from DisGeNET and data extracted from the literature by text mining, which has been curated by domain experts. It currently contains 2642 associations between 1271 genes and 37 psychiatric disease concepts. In its first release, PsyGeNET is focused on three psychiatric disorders: major depression, alcohol and cocaine use disorders. PsyGeNET represents a comprehensive, open access resource for the analysis of the molecular mechanisms underpinning psychiatric disorders and their comorbidities. AVAILABILITY AND IMPLEMENTATION: The PysGeNET platform is freely available at http://www.psygenet.org/. The PsyGeNET database is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/). CONTACT: lfurlong@imim.es SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.