RMDisease

RMDisease integrates computational predictions and experimental data to identify human SNPs that affect RNA modifications and associate them with disease-related epitranscriptomic alterations.

Key Features:

• Integrated Modification Prediction: Aggregates results from 18 RNA modification prediction tools and 303,426 experimentally validated RNA modification sites.
• Comprehensive SNP Annotation: Catalogs 202,307 human SNPs affecting eight RNA modifications: N6-methyladenosine (m6A), 5-methylcytosine (m5C), N1-methyladenosine (m1A), 5-methyluridine (m5U), pseudouridine (Ψ), N6,N6-dimethyladenosine (m6Am), 7-methylguanosine (m7G), and 2'-O-methylation (Nm), including 4,289 disease-associated variants.
• Post-Transcriptional Regulation Annotations: Annotates affected sites with miRNA binding, RNA-binding protein interactions, and alternative splicing information.

Scientific Applications:

• Epitranscriptomic Disease Mechanism Analysis: Links genetic variants to RNA modification changes to investigate disease mechanisms, including cancer-related pathogenesis.

Methodology:

RMDisease integrates multi-tool computational predictions with experimentally validated RNA modification datasets to systematically map SNP-associated alterations in RNA modifications and annotate their regulatory and disease associations.