Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
PLoS One. 2008;3(10):e3420. doi: 10.1371/journal.pone.0003420. Epub 2008 Oct 15.

An analysis of human microRNA and disease associations.

Author information

  • 1Department of Medical Informatics, Peking University Health Science Center, Beijing, China.

Abstract

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.

PMID:
18923704
[PubMed - indexed for MEDLINE]
PMCID:
PMC2559869
Free PMC Article

Images from this publication.See all images (3)Free text

Figure 1
Figure 2
Figure 3
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Public Library of Science Icon for PubMed Central
    Write to the Help Desk