Annotation and curation of the causality information in LncRNADisease. (15th January 2020)

• Record Type: Journal Article
• Authors: Jia, Kaiwen; Gao, Yuanxu; Shi, Jiangcheng; Zhou, Yuan; Zhou, Yong; Cui, Qinghua
• Is Part Of: Database. Volume 2020(2020)
• Publication Date: 2020-01-15
• Subjects: Biology -- Databases -- Periodicals; Bioinformatics -- Periodicals; 570.285
• DOI: 10.1093/database/baz150
• Languages: English
• ISSNs: 1758-0463

Abstract

Abstract: Disease causative non-coding RNAs (ncRNAs) are of great importance in understanding a disease, for they directly contribute to the development or progress of a disease. Identifying the causative ncRNAs can provide vital implications for biomedical researches. In this work, we updated the long non-coding RNA disease database (LncRNADisease) with long non-coding RNA (lncRNA) causality information with manual annotations of the causal associations between lncRNAs/circular RNAs (circRNAs) and diseases by reviewing related publications. Of the total 11 568 experimental associations, 2297 out of 10 564 lncRNA-disease associations and 198 out of 1004 circRNA-disease associations were identified to be causal, whereas 635 lncRNAs and 126 circRNAs were identified to be causative for the development or progress of at least one disease. The updated information and functions of the database can offer great help to future researches involving lncRNA/circRNA-disease relationship. The latest LncRNADisease database is available at http://www.rnanut.net/lncrnadisease .