PsyGeNET

PsyGeNET provides an integrated, expert-curated database of gene–psychiatric disorder associations by combining text-mined literature data and DisGeNET to support analysis of molecular mechanisms and comorbidities in psychiatric diseases.

Key Features:

• Data integration: Integrates DisGeNET and other comprehensive data sources to compile gene–disease association records.
• Text mining: Applies text-mining techniques to extract gene–disease associations from scientific literature.
• Expert curation: Domain experts curate and validate text-mined associations.
• Database content: Contains 2,642 associations between 1,271 genes and 37 psychiatric disease concepts.
• Disease focus: Provides focused coverage of major depression, alcohol use disorder, and cocaine use disorder.

Scientific Applications:

• Molecular mechanism elucidation: Elucidates molecular mechanisms underlying psychiatric disorders and their comorbidities.
• Genetic investigation: Supports investigation of potential genetic underpinnings and gene interactions relevant to psychiatric conditions.
• Exploratory analysis and hypothesis generation: Enables exploratory analysis of psychiatric diseases and associated genes, including targeted study of major depression, alcohol use disorder, and cocaine use disorder.

Methodology:

Text mining of scientific literature and integration with DisGeNET followed by domain expert curation of gene–disease associations.