ArticleNucleic acids research2016
miRVaS: a tool to predict the impact of genetic variants on miRNAs.
Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Disease-related miRNA mutations are associated with mature miRNA secondary structure changes.Biophysical journal · 2025Article
- Investigation of the role of miRNA variants in neurodegenerative brain diseases.Frontiers in genetics · 2025Article
- Genetic Variants Identified by Whole Exome Sequencing in a Large Italian Family with High Plasma Levels of Factor VIII and Von Willebrand Factor.International journal of molecular sciences · 2023Article
- In silico prioritisation of microRNA-associated common variants in multiple sclerosis.Human genomics · 2023Article
- MiRLog and dbmiR: Prioritization and functional annotation tools to study human microRNA sequence variants.Human mutation · 2022Article
- Analysis of miRNA rare variants in amyotrophic lateral sclerosis andFrontiers in genetics · 2022Article
- Role of SNPs in the Biogenesis of Mature miRNAs.BioMed research international · 2021Article
- Non-coding RNAs in retinal development and function.Human genetics · 2019Review
- An Approach to Identify Individual Functional Single Nucleotide Polymorphisms and Isoform MicroRNAs.BioMed research international · 2019Article
- Framework for microRNA variant annotation and prioritization using human population and disease datasets.Human mutation · 2019Article
- Review
- Associations between genetic variants located in mature microRNAs and risk of lung cancer.Oncotarget · 2016Article
- Schizophrenia-Associated MIR204 Regulates Noncoding RNAs and Affects Neurotransmitter and Ion Channel Gene Sets.PloS one · 2015Article
- Assessment of MIR200B Polymorphisms Association with Sight-Threatening Diabetic Retinopathy.Journal of current ophthalmologyArticle
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic variants in or near miRNA genes can have profound effects on miRNA expression and targeting. As user-friendly software for the impact prediction of miRNA variants on a large scale is still lacking, we created a tool called miRVaS. miRVaS automates this prediction by annotating the location of the variant relative to functional regions within the miRNA hairpin (seed, mature, loop, hairpin arm, flanks) and by annotating all predicted structural changes within the miRNA due to the variant. In addition, the tool defines the most important region that is predicted to have structural changes and calculates a conservation score that is indicative of the reliability of the structure prediction. The output is presented in a tab-separated file, which enables fast screening, and in an html file, which allows visual comparison between wild-type and variant structures. All separate images are provided for downstream use. Finally, we tested two different approaches on a small test set of published functionally validated genetic variants for their capacity to predict the impact of variants on miRNA expression.
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