dbMTS

dbMTS catalogs and annotates single nucleotide variants (SNVs) within microRNA (miRNA) seed regions in human 3' untranslated regions (3' UTRs) and provides functional predictions of their impacts on miRNA-mediated gene regulation.

Key Features:

• Comprehensive Collection: catalogs all potential SNVs within miRNA seed regions across human 3' UTRs.
• Functional Predictions and Annotations: provides computational predictions of variant effects on miRNA binding and annotations describing potential biological impacts and disease relevance.
• Variant Filtering and Prioritization for WES: integrates predictions and annotations to support filtering and prioritization of SNVs from whole exome sequencing (WES) datasets.

Scientific Applications:

• Identification of Functional SNVs: identification of SNVs that may alter miRNA targeting and modulate gene expression.
• Prioritization of Genetic Variants: prioritization and ranking of SNVs by predicted functional impact for studies of genetic contributions to disease and phenotype.
• miRNA Regulatory Research: support for investigations into miRNA–mRNA interactions and noncoding RNA regulatory roles.

Methodology:

Systematically identifies SNVs within miRNA seed regions by analyzing human 3' UTR sequences and applies computational tools to predict effects on miRNA binding and gene regulation, with annotations indicating potential biological impact and disease relevance.