Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database information

HMDD (Human MicroRNA Disease Database)

General information

Description: HMDD (the Human microRNA Disease Database) is a database that curated experiment-supported evidence for human microRNA (miRNA) and disease associations.
Year founded: 2007
Last update: 2018-10-09
Version: v3.0
Accessibility:
Manual:
Accessible
Real time : Checking...
Country/Region: China
Data type:
RNA
Data object:
Database category:
Major organism:
Keywords:

Contact information

University/Institution: Peking University
Address: 38 Xueyuan Road,Beijing 100191,China
City: Beijing
Province/State:
Country/Region: China
Contact name (PI/Team): Qinghua Cui
Contact email (PI/Helpdesk): cuiqinghua@bjmu.edu.cn

Record metadata

Created on: 2015-06-20
Curated by:
[2018-11-27]
Lina Ma [2018-09-08]
Lina Ma [2018-06-11]
Chunlei Yu [2016-04-17]
Chunlei Yu [2016-03-31]
Chunlei Yu [2015-11-19]
Chunlei Yu [2015-06-28]

Ranking

All databases:
133/4549 (97.098%)
Health and medicine:
22/917 (97.71%)
133
Total Rank
695
Citations
57.917
z-index

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Publications

30364956
HMDD v3.0: a database for experimentally supported human microRNA-disease associations. [PMID: 30364956]
Huang Z, Shi J, Gao Y, Cui C, Zhang S, Li J, Zhou Y, Cui Q.

Comprehensive databases of microRNA-disease associations are continuously demanded in biomedical researches. The recently launched version 3.0 of Human MicroRNA Disease Database (HMDD v3.0) manually collects a significant number of miRNA-disease association entries from literature. Comparing to HMDD v2.0, this new version contains 2-fold more entries. Besides, the associations have been more accurately classified based on literature-derived evidence code, which results in six generalized categories (genetics, epigenetics, target, circulation, tissue and other) covering 20 types of detailed evidence code. Furthermore, we added new functionalities like network visualization on the web interface. To exemplify the utility of the database, we compared the disease spectrum width of miRNAs (DSW) and the miRNA spectrum width of human diseases (MSW) between version 3.0 and 2.0 of HMDD. HMDD is freely accessible at http://www.cuilab.cn/hmdd. With accumulating evidence of miRNA-disease associations, HMDD database will keep on growing in the future.

Nucleic Acids Res. 2019:47(D1) | 24 Citations (from Europe PMC, 2020-02-08)
24194601
HMDD v2.0: a database for experimentally supported human microRNA and disease associations. [PMID: 24194601]
Li Y, Qiu C, Tu J, Geng B, Yang J, Jiang T, Cui Q.

The Human microRNA Disease Database (HMDD; available via the Web site at http://cmbi.bjmu.edu.cn/hmdd and http://202.38.126.151/hmdd/tools/hmdd2.html) is a collection of experimentally supported human microRNA (miRNA) and disease associations. Here, we describe the HMDD v2.0 update that presented several novel options for users to facilitate exploration of the data in the database. In the updated database, miRNA-disease association data were annotated in more details. For example, miRNA-disease association data from genetics, epigenetics, circulating miRNAs and miRNA-target interactions were integrated into the database. In addition, HMDD v2.0 presented more data that were generated based on concepts derived from the miRNA-disease association data, including disease spectrum width of miRNAs and miRNA spectrum width of human diseases. Moreover, we provided users a link to download all the data in the HMDD v2.0 and a link to submit novel data into the database. Meanwhile, we also maintained the old version of HMDD. By keeping data sets up-to-date, HMDD should continue to serve as a valuable resource for investigating the roles of miRNAs in human disease.

Nucleic Acids Res. 2014:42(Database issue) | 247 Citations (from Europe PMC, 2020-02-15)
18923704
An analysis of human microRNA and disease associations. [PMID: 18923704]
Lu M, Zhang Q, Deng M, Miao J, Guo Y, Gao W, Cui Q.

It has been reported that increasingly microRNAs are associated with diseases. However, the patterns among the microRNA-disease associations remain largely unclear. In this study, in order to dissect the patterns of microRNA-disease associations, we performed a comprehensive analysis to the human microRNA-disease association data, which is manually collected from publications. We built a human microRNA associated disease network. Interestingly, microRNAs tend to show similar or different dysfunctional evidences for the similar or different disease clusters, respectively. A negative correlation between the tissue-specificity of a microRNA and the number of diseases it associated was uncovered. Furthermore, we observed an association between microRNA conservation and disease. Finally, we uncovered that microRNAs associated with the same disease tend to emerge as predefined microRNA groups. These findings can not only provide help in understanding the associations between microRNAs and human diseases but also suggest a new way to identify novel disease-associated microRNAs.

PLoS One. 2008:3(10) | 424 Citations (from Europe PMC, 2020-02-08)