An Analysis of Human MicroRNA and Disease Associations
2008
Analysis of MicroRNA and Disease Associations
publication
Evidence: high
Author Information
Author(s): Lu Ming, Zhang Qipeng, Deng Min, Miao Jing, Guo Yanhong, Gao Wei, Cui Qinghua
Primary Institution: Peking University
Hypothesis
The study aims to dissect the patterns of microRNA-disease associations.
Conclusion
The study uncovers significant patterns between microRNAs and human diseases, suggesting new ways to identify disease-associated microRNAs.
Supporting Evidence
- MicroRNAs are associated with various diseases, but the patterns of these associations are not well understood.
- The study built a human microRNA-associated disease network from data collected from approximately 100 papers.
- A negative correlation was found between the tissue specificity of a microRNA and the number of diseases it is associated with.
- The study suggests that miRNAs associated with the same disease tend to form predefined groups.
Takeaway
MicroRNAs are tiny molecules that help control genes, and this study looks at how they are linked to different diseases.
Methodology
The study involved a comprehensive analysis of human microRNA-disease association data collected from publications.
Limitations
The current data on microRNA-disease associations is incomplete, which may affect the findings.
Statistical Information
P-Value
5.97×10−13
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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