MalaCards Edit

Citations: 84

z-index: 14

Basic information
Short name MalaCards
Full name The Human Disease Database
Description MalaCards is an integrated database of human maladies and their annotations, modeled on the architecture and richness of the popular GeneCards database of human genes.
Year founded 2013
Last update & version 2018-08-05 v4.8.0.3
Accessibility Accessible
Contact information

The contact information is provided to facilitate update of database information, and it is curated based on the contact details in the database or the related publications. To ensure effective contact with database constructors, we give priority to the contact details in the database.

University/Institution Weizmann Institute of Science
Address 234 Hertzel St. Rehovot,76100,Israel
City Rehovot
Country/Region Israel
Contact name (PI/Team) Doron Lancet
Contact email (PI/Helpdesk)
Data information
Data object
Data type
Database category
Major organism
  • MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search. [PMID: 27899610]
    Noa Rappaport, Michal Twik, Inbar Plaschkes, Ron Nudel, Tsippi Iny Stein, Jacob Levitt, Moran Gershoni, C Paul Morrey, Marilyn Safran, Doron Lancet

    The MalaCards human disease database ( is an integrated compendium of annotated diseases mined from 68 data sources. MalaCards has a web card for each of ?20 000 disease entries, in six global categories. It portrays a broad array of annotation topics in 15 sections, including Summaries, Symptoms, Anatomical Context, Drugs, Genetic Tests, Variations and Publications. The Aliases and Classifications section reflects an algorithm for disease name integration across often-conflicting sources, providing effective annotation consolidation. A central feature is a balanced Genes section, with scores reflecting the strength of disease-gene associations. This is accompanied by other gene-related disease information such as pathways, mouse phenotypes and GO-terms, stemming from MalaCards' affiliation with the GeneCards Suite of databases. MalaCards' capacity to inter-link information from complementary sources, along with its elaborate search function, relational database infrastructure and convenient data dumps, allows it to tackle its rich disease annotation landscape, and facilitates systems analyses and genome sequence interpretation. MalaCards adopts a 'flat' disease-card approach, but each card is mapped to popular hierarchical ontologies (e.g. International Classification of Diseases, Human Phenotype Ontology and Unified Medical Language System) and also contains information about multi-level relations among diseases, thereby providing an optimal tool for disease representation and scrutiny. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

    Nucleic Acids Res 2017:45(D1)

    31 Citations (from Europe PMC, 2019-08-03)

  • MalaCards: an integrated compendium for diseases and their annotation. [PMID: 23584832]
    Noa Rappaport, Noam Nativ, Gil Stelzer, Michal Twik, Yaron Guan-Golan, Tsippi Iny Stein, Iris Bahir, Frida Belinky, C Paul Morrey, Marilyn Safran, Doron Lancet

    Comprehensive disease classification, integration and annotation are crucial for biomedical discovery. At present, disease compilation is incomplete, heterogeneous and often lacking systematic inquiry mechanisms. We introduce MalaCards, an integrated database of human maladies and their annotations, modeled on the architecture and strategy of the GeneCards database of human genes. MalaCards mines and merges 44 data sources to generate a computerized card for each of 16 919 human diseases. Each MalaCard contains disease-specific prioritized annotations, as well as inter-disease connections, empowered by the GeneCards relational database, its searches and GeneDecks set analyses. First, we generate a disease list from 15 ranked sources, using disease-name unification heuristics. Next, we use four schemes to populate MalaCards sections: (i) directly interrogating disease resources, to establish integrated disease names, synonyms, summaries, drugs/therapeutics, clinical features, genetic tests and anatomical context; (ii) searching GeneCards for related publications, and for associated genes with corresponding relevance scores; (iii) analyzing disease-associated gene sets in GeneDecks to yield affiliated pathways, phenotypes, compounds and GO terms, sorted by a composite relevance score and presented with GeneCards links; and (iv) searching within MalaCards itself, e.g. for additional related diseases and anatomical context. The latter forms the basis for the construction of a disease network, based on shared MalaCards annotations, embodying associations based on etiology, clinical features and clinical conditions. This broadly disposed network has a power-law degree distribution, suggesting that this might be an inherent property of such networks. Work in progress includes hierarchical malady classification, ontological mapping and disease set analyses, striving to make MalaCards an even more effective tool for biomedical research. Database URL:

    Database (Oxford) 2013:2013()

    53 Citations (from Europe PMC, 2019-08-03)


  • Ranking in all databases: No. 497
  • Ranking in category/categories:
    • Health and medicine: No. 90
The box plots depict Z-index distribution for all databases in Database Commons and for specific database category/categories. The red line indicates log2(Z-index) of MalaCards.

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Record metadata

  • Created on: 2015-06-20
    • ***ina@*** [2019-03-15]
    • ***on.lancet@*** [2018-12-06]
    • ***shx@*** [2017-02-20]
    • ***lin@*** [2016-03-29]
    • ***lin@*** [2016-03-26]
    • ***ang@*** [2015-06-26]

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