PreMedKB
PreMedKB integrates data on diseases, genes, genetic variants, and drugs to support interpretation of genetic variation and inform therapeutic decision-making in precision medicine.
Key Features:
- Comprehensive Data Integration: Integrates data on diseases, genes, genetic variants, and drugs to represent their interrelationships.
- Interpretation of Genetic Variants: Interprets clinical significance of genetic variants for disease susceptibility and drug response.
- Therapeutic Recommendations: Provides associations between genetic variants and therapeutic options to inform treatment selection.
- Genetic Testing Panel Design: Supports selection of relevant genes and variants for design of genetic testing panels based on clinical relevance.
- Clinical Trial Matching: Matches patients to clinical trials using disease and genetic profile associations.
Scientific Applications:
- Researchers: Investigate relationships among genes, variants, diseases, and drugs to support discovery and variant interpretation.
- Clinicians: Use variant interpretations and variant–drug associations to inform personalized treatment decisions.
- Patients: Use interpreted genetic-profile information to inform health decisions and potential clinical trial participation.
Methodology:
Integrates and links data on diseases, genes, genetic variants, and drugs into a unified knowledgebase.
Topics
Collections
Details
- Tool Type:
- web application
- Added:
- 1/20/2021
- Last Updated:
- 5/18/2021
Operations
Publications
Yu Y, Wang Y, Xia Z, Zhang X, Jin K, Yang J, Ren L, Zhou Z, Yu D, Qing T, Zhang C, Jin L, Zheng Y, Guo L, Shi L. PreMedKB: an integrated precision medicine knowledgebase for interpreting relationships between diseases, genes, variants and drugs. Nucleic Acids Research. 2018;47(D1):D1090-D1101. doi:10.1093/nar/gky1042. PMID:30407536. PMCID:PMC6324052.
DOI: 10.1093/NAR/GKY1042
PMID: 30407536
PMCID: PMC6324052
Funding: - National Natural Science Foundation of China: 31471239, 31601085, 31671368, 31720103909
- National Key R&D Project of China: 2016YFC0901704, 2017YFC0907000, 2017YFC0907502, 2017YFF0204600
- Shanghai Municipal Science and Technology: 2017SHZDZX01