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RMVar: an updated database of functional variants involved in RNA modifications
Distinguishing the few disease-related variants from a massive number of passenger variants is a major challenge. Variants affecting RNA modifications that play critical roles in many aspects of RNA metabolism have recently been linked to many human diseases, such as cancers. Evaluating the effect o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779057/ https://www.ncbi.nlm.nih.gov/pubmed/33021671 http://dx.doi.org/10.1093/nar/gkaa811 |
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author | Luo, Xiaotong Li, Huiqin Liang, Jiaqi Zhao, Qi Xie, Yubin Ren, Jian Zuo, Zhixiang |
author_facet | Luo, Xiaotong Li, Huiqin Liang, Jiaqi Zhao, Qi Xie, Yubin Ren, Jian Zuo, Zhixiang |
author_sort | Luo, Xiaotong |
collection | PubMed |
description | Distinguishing the few disease-related variants from a massive number of passenger variants is a major challenge. Variants affecting RNA modifications that play critical roles in many aspects of RNA metabolism have recently been linked to many human diseases, such as cancers. Evaluating the effect of genetic variants on RNA modifications will provide a new perspective for understanding the pathogenic mechanism of human diseases. Previously, we developed a database called ‘m6AVar’ to host variants associated with m(6)A, one of the most prevalent RNA modifications in eukaryotes. To host all RNA modification (RM)-associated variants, here we present an updated version of m6AVar renamed RMVar (http://rmvar.renlab.org). In this update, RMVar contains 1 678 126 RM-associated variants for 9 kinds of RNA modifications, namely m(6)A, m(6)Am, m(1)A, pseudouridine, m(5)C, m(5)U, 2′-O-Me, A-to-I and m(7)G, at three confidence levels. Moreover, RBP binding regions, miRNA targets, splicing events and circRNAs were integrated to assist investigations of the effects of RM-associated variants on posttranscriptional regulation. In addition, disease-related information was integrated from ClinVar and other genome-wide association studies (GWAS) to investigate the relationship between RM-associated variants and diseases. We expect that RMVar may boost further functional studies on genetic variants affecting RNA modifications. |
format | Online Article Text |
id | pubmed-7779057 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77790572021-01-07 RMVar: an updated database of functional variants involved in RNA modifications Luo, Xiaotong Li, Huiqin Liang, Jiaqi Zhao, Qi Xie, Yubin Ren, Jian Zuo, Zhixiang Nucleic Acids Res Database Issue Distinguishing the few disease-related variants from a massive number of passenger variants is a major challenge. Variants affecting RNA modifications that play critical roles in many aspects of RNA metabolism have recently been linked to many human diseases, such as cancers. Evaluating the effect of genetic variants on RNA modifications will provide a new perspective for understanding the pathogenic mechanism of human diseases. Previously, we developed a database called ‘m6AVar’ to host variants associated with m(6)A, one of the most prevalent RNA modifications in eukaryotes. To host all RNA modification (RM)-associated variants, here we present an updated version of m6AVar renamed RMVar (http://rmvar.renlab.org). In this update, RMVar contains 1 678 126 RM-associated variants for 9 kinds of RNA modifications, namely m(6)A, m(6)Am, m(1)A, pseudouridine, m(5)C, m(5)U, 2′-O-Me, A-to-I and m(7)G, at three confidence levels. Moreover, RBP binding regions, miRNA targets, splicing events and circRNAs were integrated to assist investigations of the effects of RM-associated variants on posttranscriptional regulation. In addition, disease-related information was integrated from ClinVar and other genome-wide association studies (GWAS) to investigate the relationship between RM-associated variants and diseases. We expect that RMVar may boost further functional studies on genetic variants affecting RNA modifications. Oxford University Press 2020-10-06 /pmc/articles/PMC7779057/ /pubmed/33021671 http://dx.doi.org/10.1093/nar/gkaa811 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Luo, Xiaotong Li, Huiqin Liang, Jiaqi Zhao, Qi Xie, Yubin Ren, Jian Zuo, Zhixiang RMVar: an updated database of functional variants involved in RNA modifications |
title | RMVar: an updated database of functional variants involved in RNA modifications |
title_full | RMVar: an updated database of functional variants involved in RNA modifications |
title_fullStr | RMVar: an updated database of functional variants involved in RNA modifications |
title_full_unstemmed | RMVar: an updated database of functional variants involved in RNA modifications |
title_short | RMVar: an updated database of functional variants involved in RNA modifications |
title_sort | rmvar: an updated database of functional variants involved in rna modifications |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779057/ https://www.ncbi.nlm.nih.gov/pubmed/33021671 http://dx.doi.org/10.1093/nar/gkaa811 |
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