The regulatory role of microRNAs (miRNAs) has been well studied in a wide variety of biological processes but there have been litle systematic efforts to understand and analyze the genetic variations in miRNA loci and study its functional consequences.
Vinod Scaria’s group at the Institute of Genomics and Integrative Biology (CSIR) in Delhi comprehensively curated genetic variations in miRNA loci in the human genome and established a computational pipeline to assess potential functional consequences of these variants along with methods for systematic curation and reporting of variations in these loci. The resulting database miRvar is a community curation resource, a starting point for systematic curation and analysis of genetic variants in miRNA loci.
The data is made available on the Leiden Open (source) Variation Database (LOVD) platform at http://genome.igib.res.in/mirlovd to provide ease of aggregation and analysis. It is open for community curation efforts. miRvar allows to search variants in different miRNAs and has information about the variant position and the allele change in the respective miRNA, in addition to making it easy to browse for information through linkouts like miRBase, UCSC Genome Browser, miR2Disease, 1000 Genomes Project and miRecords. Currently, the database comprises of a total 108 unique entries including 85 miRNAs from UCSC-dbSNP mapping and 25 from published literature. The database also allows to search for miRNAs using their names, disease associations, location of SNP on the hairpin structure and chromosome.
Bhartiya, D., Laddha, S. V., Mukhopadhyay, A. and Scaria, V. (2011),
miRvar: A comprehensive database for genomic variations in microRNAs.
Human Mutation, 32: E2226–E2245.
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