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MSDD: a manually curated database of experimentally supported associations among miRNAs, SNPs and human diseases
Ming Yue1, Dianshuang Zhou1, Hui Zhi1
1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Abstract:
The MiRNA SNP Disease Database (MSDD, http://www.bio-bigdata.com/msdd/) is a manually curated database that provides comprehensive experimentally supported associations among microRNAs (miRNAs), single nucleotide polymorphisms (SNPs) and human diseases. SNPs in miRNA-related functional regions such as mature miRNAs, promoter regions, pri-miRNAs, pre-miRNAs and target gene 3'-UTRs, collectively called 'miRSNPs', represent a novel category of functional molecules. miRSNPs can lead to miRNA and its target gene dysregulation, and resulting in susceptibility to or onset of human diseases. A curated collection and summary of miRSNP-associated diseases is essential for a thorough understanding of the mechanisms and functions of miRSNPs. Here, we describe MSDD, which currently documents 525 associations among 182 human miRNAs, 197 SNPs, 153 genes and 164 human diseases through a review of more than 2000 published papers. Each association incorporates information on the miRNAs, SNPs, miRNA target genes and disease names, SNP locations and alleles, the miRNA dysfunctional pattern, experimental techniques, a brief functional description, the original reference and additional annotation. MSDD provides a user-friendly interface to conveniently browse, retrieve, download and submit novel data. MSDD will significantly improve our understanding of miRNA dysfunction in disease, and thus, MSDD has the potential to serve as a timely and valuable resource.
Insights
The MiRNA SNP Disease Database (MSDD) is a new resource detailing links between microRNAs (miRNAs), genetic variations called single nucleotide polymorphisms (SNPs), and human diseases. This database aids in understanding how these genetic changes impact disease development.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Single nucleotide polymorphisms (SNPs) in microRNA (miRNA)-related regions, termed miRSNPs, can disrupt miRNA function and gene regulation.
- This dysregulation is implicated in the susceptibility to and onset of various human diseases.
- A comprehensive resource is needed to consolidate known miRSNP-disease associations.
Purpose of the Study:
- To describe the MiRNA SNP Disease Database (MSDD).
- To provide a manually curated collection of experimentally supported associations between miRNAs, SNPs, and human diseases.
- To facilitate research into the role of miRSNPs in disease.
Main Methods:
- Manual curation of over 2000 published papers.
- Systematic collection of data on miRNA, SNP, gene, and disease associations.
- Inclusion of details on SNP location, alleles, miRNA dysfunction, experimental methods, and functional descriptions.
Main Results:
- The MSDD currently documents 525 associations involving 182 miRNAs, 197 SNPs, 153 genes, and 164 diseases.
- Each record includes comprehensive information on the molecular players, genetic variations, and disease context.
- The database offers a user-friendly interface for data browsing, retrieval, download, and submission.
Conclusions:
- MSDD serves as a valuable resource for understanding miRNA dysfunction in human diseases.
- The database aids in elucidating the mechanisms by which miRSNPs contribute to disease pathogenesis.
- MSDD has the potential to advance research in miRNA-related disease and personalized medicine.
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