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MalaCards: an integrated compendium for diseases and their annotation.

Noa Rappaport1, Noam Nativ, Gil Stelzer

  • 1Department of Molecular Genetics, Weizmann Institute of Science, 234 Hertzel St. Rehovot, 76100, Israel. noa.rappaport@weizmann.ac.il

Database : the Journal of Biological Databases and Curation
|April 16, 2013
PubMed
Summary

MalaCards is a new integrated database that compiles and annotates 16,919 human diseases from 44 sources. This comprehensive resource aids biomedical discovery by providing disease information and connections.

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Area of Science:

  • Biomedical Informatics
  • Genomics
  • Disease Databases

Background:

  • Comprehensive disease classification and annotation are vital for biomedical discovery.
  • Current disease compilations are often incomplete, heterogeneous, and lack systematic inquiry mechanisms.

Purpose of the Study:

  • To introduce MalaCards, an integrated database of human maladies and their annotations.
  • To provide a systematic and comprehensive resource for exploring disease information and inter-disease connections.

Main Methods:

  • MalaCards integrates data from 44 sources, creating a computerized card for each of 16,919 human diseases.
  • Utilizes GeneCards and GeneDecks for disease-specific annotations, gene associations, pathways, and phenotype analysis.
  • Constructs a disease network based on shared annotations, revealing associations in etiology, clinical features, and conditions.

Main Results:

  • MalaCards provides prioritized annotations and inter-disease connections for a vast number of human diseases.
  • The database links diseases to genes, publications, pathways, phenotypes, and compounds.
  • A disease network with a power-law degree distribution was constructed, suggesting inherent network properties.

Conclusions:

  • MalaCards serves as a powerful, integrated tool for biomedical research, enhancing disease understanding.
  • Future work aims to improve hierarchical classification, ontological mapping, and disease set analyses.
  • The database is accessible at http://www.malacards.org/.