A review of databases predicting the effects of SNPs in miRNA genes or miRNA-binding sites. (27th November 2017)

• Record Type: Journal Article
• Authors: Fehlmann, Tobias; Sahay, Shashwat; Keller, Andreas; Backes, Christina
• Is Part Of: Briefings in bioinformatics. Volume 20:Number 3(2019)
• Page Start: 1011
• Page End: 1020
• Publication Date: 2017-11-27
• Subjects: miRNAs -- SNPs -- databases -- target sites; Genetics -- Data processing -- Periodicals; Molecular biology -- Data processing -- Periodicals; Genomes -- Data processing -- Periodicals; 572.80285
• DOI: 10.1093/bib/bbx155
• Languages: English
• ISSNs: 1467-5463

Abstract

Abstract: Modern precision medicine comprises the knowledge and understanding of individual differences in the genomic sequence of patients to provide tailor-made treatments. Regularly, such variants are considered in coding regions only, and their effects are predicted based on their impact on the amino acid sequence of expressed proteins. However, assessing the effects of variants in noncoding elements, in particular microRNAs (miRNAs) and their binding sites, is important as well, as a single miRNA can influence the expression patterns of many genes at the same time. To analyze the effects of variants in miRNAs and their target sites, several databases storing variant impact predictions have been published. In this review, we will compare the core functionalities and features of these databases and discuss the importance of up-to-date data resources in the context of web applications. Finally, we will outline some recommendations for future developments in the field.