1. ncRNAVar: A Manually Curated Database for Identification of Noncoding RNA Variants Associated with Human Diseases
- Author
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Binghui Zeng, Huan Yang, Wenliang Zhang, Haiyue Zhang, Yongjie Deng, Guocai Yao, Weizhong Li, Minglei Yang, Song Wu, and Jianbo Wang
- Subjects
Prioritization ,Association score ,RNA, Untranslated ,Biology ,computer.software_genre ,Manual curation ,03 medical and health sciences ,Annotation ,Human health ,0302 clinical medicine ,Human disease ,Structural Biology ,Humans ,Disease ,Genetic Predisposition to Disease ,Molecular Biology ,030304 developmental biology ,Internet ,0303 health sciences ,Database ,Genetic Variation ,Non-coding RNA ,Phenotype ,Identification (biology) ,Databases, Nucleic Acid ,computer ,030217 neurology & neurosurgery - Abstract
While variants of noncoding RNAs (ncRNAs) have been experimentally validated as a new class of biomarkers and drug targets, the discovery and interpretation of relationships between ncRNA variants and human diseases become important and challenging. Here we present ncRNAVar (http://www.liwzlab.cn/ncrnavar/), the first database that provides association data between validated ncRNA variants and human diseases through manual curation on 2650 publications and computational annotation. ncRNAVar contains 4565 associations between 711 human disease phenotypes and 3112 variants from 2597 ncRNAs. Each association was reviewed by professional curators, incorporated with valuable annotation and cross references, and designated with an association score by our refined score model. ncRNAVar offers web applications including association prioritization, network visualization, and relationship mapping. ncRNAVar, presenting a landscape of ncRNA variants in human diseases and a useful resource for subsequent software development, will improve our insight of relationships between ncRNA variants and human health.
- Published
- 2021