A review of databases predicting the effects of SNPs in miRNA genes or miRNA-binding sites.

Tobias Fehlmann, Shashwat Sahay, Andreas Keller, Christina Backes

Journal: Briefings in bioinformatics 2020;20(3):1011-1020

PMID: 29186316

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.

© The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: [email protected].

Address: Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.

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