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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
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RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome
Kunqi Chen1,2, Bowen Song3,4, Yujiao Tang1,3
1Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Nucleic Acids Research
|October 3, 2020
Summary
RMDisease is a new database linking genetic variants to RNA modifications. It identifies disease-associated single nucleotide polymorphisms (SNPs) impacting the epitranscriptome, aiding research into disease mechanisms.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Single nucleotide variants (SNVs) pose challenges in understanding biological impacts.
- RNA modifications are crucial in biological processes and disease, including cancer.
- Epitranscriptomic alterations are increasingly linked to disease pathogenesis.
Purpose of the Study:
- To build RMDisease, a comprehensive database of genetic variants affecting RNA modifications.
- To investigate the association between disease-associated variants and epitranscriptome disturbance.
- To provide a resource for studying the epitranscriptome impact of genetic variants.
Main Methods:
- Integrated predictions from 18 RNA modification tools and 303,426 validated modification sites.
- Identified 202,307 human SNPs potentially affecting eight types of RNA modifications (m6A, m5C, m1A, m5U, Ψ, m6Am, m7G, Nm).
- Annotated SNPs with post-transcriptional regulatory information (miRNA binding, RNA-binding protein interactions, alternative splicing).
Main Results:
- Discovered 4,289 disease-associated variants potentially linked to epitranscriptomic pathogenesis.
- Cataloged 202,307 SNPs affecting RNA modification sites, including common and rare variants.
- Provided functional annotations for SNPs, revealing potential regulatory circuits.
Conclusions:
- RMDisease offers a valuable resource for exploring the epitranscriptome's role in disease.
- The database facilitates the study of how genetic variants influence RNA modifications and disease.
- RMDisease supports research into epitranscriptomic mechanisms underlying disease pathogenesis.
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