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The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

An Analysis of Human MicroRNA and Disease Associations

Open access
Lu, Ming, Zhang, Qipeng, Deng, Min, Miao, Jing, Guo, Yanhong, Gao, Wei, Cui, Qinghua·2008·PLoS ONE

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.

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Metadata

Authors
Lu, M., Zhang, Q., Deng, M., Miao, J., Guo, Y., Gao, W., & Cui, Q.
Venue
PLoS ONE
Published
2008-10-15
Volume
3
Issue
10
Pages
e3420
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2047967134
Cited by
902
References
7
FWCI
10.11
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: An Analysis of Human MicroRNA and Disease Associations. https://app.cochat.ai/papers/10.1371/journal.pone.0003420
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Lu, M., Zhang, Q., Deng, M., Miao, J., Guo, Y., Gao, W., & Cui, Q. (2008). An Analysis of Human MicroRNA and Disease Associations. PLoS ONE. https://doi.org/10.1371/journal.pone.0003420

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.