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PsyGeNET: a knowledge platform on psychiatric disorders and their genes
Alba Gutiérrez-Sacristán1, Solène Grosdidier1, Olga Valverde1
1Research Group on Integrative Biomedical Informatics, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Department of Experimental and Health Sciences (DCEXS), Universitat Pompeu Fabra (UPF), Neurobiology of Behaviour Research Group (GReNeC), IMIM, DCEXS, UPF and Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Universitat Autònoma de Barcelona, Barcelona 08003, Spain.
PsyGeNET is a new open-access platform linking genes to psychiatric disorders. It aids researchers in exploring molecular mechanisms of major depression, alcohol, and cocaine use disorders.
Area of Science:
- Genetics and Bioinformatics
- Neuroscience and Psychiatry
Background:
- Psychiatric disorders have complex genetic underpinnings.
- Understanding gene-disease associations is crucial for developing targeted therapies.
Purpose of the Study:
- To introduce PsyGeNET, a comprehensive knowledge platform for psychiatric disorders and gene associations.
- To provide a resource for exploratory analysis of molecular mechanisms in psychiatric conditions.
Main Methods:
- Integration of data from DisGeNET and literature mining.
- Curation of gene-disease associations by domain experts.
- Development of a web interface for data search, visualization, and filtering.
Main Results:
- PsyGeNET database contains 2642 associations between 1271 genes and 37 psychiatric disease concepts.
- Initial focus on major depression, alcohol use disorder, and cocaine use disorder.
- A comprehensive, open-access resource is now available.
Conclusions:
- PsyGeNET facilitates the analysis of molecular mechanisms in psychiatric disorders.
- The platform supports research into gene associations and comorbidities.
- PsyGeNET is a valuable tool for the psychiatric research community.