Welcome to MarkerDB Version 2.0
MarkerDB 2.0 is a freely available electronic database that attempts to consolidate information on all known clinical and pre-clinical biomarkers into a single resource. The database includes five major types of biomarkers (condition-specific, protein, chemical, karyotypic and genetic) and four biomarker categories (diagnostic, predictive, prognostic and exposure). MarkerDB provides information such as: biomarker names and synonyms, associated conditions or pathologies, detailed disease descriptions, detailed biomarker descriptions, biomarker specificity, sensitivity and ROC curves, standard reference values (for protein and chemical markers), variants (for SNP or genetic markers) , sequence information (for genetic and protein markers), static and interactive molecular structures (for protein and chemical markers), tissue or biofluid sources (for protein and chemical markers), chromosomal location and structure (for genetic and karyotype markers), clinical approval status and relevant literature references. Users can browse the data by conditions, condition categories, biomarker types, biomarker categories or search by sequence similarity through the advanced search function. Verision 2.0 contains 218 protein biomarkers, 1,664 chemical biomarkers, 154 karyotype biomarkers, and 32,447 genetic markers. These are categorized into 25,760 diagnostic biomarkers, 13 prognostic biomarkers, 635 monitoring biomarkers, 45 safety biomarkers, 25 response biomarkers, and 12,674 risk biomarkers. Collectively, these markers can be used to detect, monitor or predict 992 specific human conditions which are grouped into 22 broad condition categories. Citing MarkerDB:
- Jackson, H., Oler, E., Torres-Calzada, C., Kruger, R., Hira, A. S., Lรณpez-Hernรกndez, Y., Pandit, D., Wang, J., Yang, K., Fatokun, O., Berjanskii, M., MacKay, S., Sajed, T., Han, S., Woudstra, R., Sykes, G., Poelzer, J., Sivakumaran, A., Gautam, V., Wong, G., & Wishart, D. S. (2025). MarkerDB 2.0: a comprehensive molecular biomarker database for 2025. Nucleic acids research, 53(D1), D1415โD1426. 39535054
- Wishart, D. S., Bartok, B., Oler, E., Liang, K. Y. H., Budinski, Z., Berjanskii, M., Guo, A., Cao, X., & Wilson, M. (2021). MarkerDB: an online database of molecular biomarkers. Nucleic acids research, 49(D1), D1259โD1267. 33245771

