SIDD: A Semantically Integrated Database towards a Global View of Human Disease

• Published in: PloS one Vol. 8; no. 10; p. e75504
• Main Authors: Cheng, Liang, Wang, Guohua, Li, Jie, Zhang, Tianjiao, Xu, Peigang, Wang, Yadong
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 11.10.2013; Public Library of Science (PLoS)
• Subjects: Acids; Annotations; Bioinformatics; Brain cancer; Browsing; Computational Biology; Computer science; Data bases; Databases, Bibliographic; Databases, Factual; Disease - genetics; Diseases; Environmental factors; Enzymes; Genes; Genetic diversity; Genomes; Genomics; Heredity; Humans; Internet; Knowledge management; Medical research; Medical Subject Headings - statistics & numerical data; MicroRNAs; Molecular chains; Navigation; Ontology; Phenotypic variations; Redundancy; Software; Web site management software; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0075504

A number of databases have been developed to collect disease-related molecular, phenotypic and environmental features (DR-MPEs), such as genes, non-coding RNAs, genetic variations, drugs, phenotypes and environmental factors. However, each of current databases focused on only one or two DR-MPEs. There is an urgent demand to develop an integrated database, which can establish semantic associations among disease-related databases and link them to provide a global view of human disease at the biological level. This database, once developed, will facilitate researchers to query various DR-MPEs through disease, and investigate disease mechanisms from different types of data. To establish an integrated disease-associated database, disease vocabularies used in different databases are mapped to Disease Ontology (DO) through semantic match. 4,284 and 4,186 disease terms from Medical Subject Headings (MeSH) and Online Mendelian Inheritance in Man (OMIM) respectively are mapped to DO. Then, the relationships between DR-MPEs and diseases are extracted and merged from different source databases for reducing the data redundancy. A semantically integrated disease-associated database (SIDD) is developed, which integrates 18 disease-associated databases, for researchers to browse multiple types of DR-MPEs in a view. A web interface allows easy navigation for querying information through browsing a disease ontology tree or searching a disease term. Furthermore, a network visualization tool using Cytoscape Web plugin has been implemented in SIDD. It enhances the SIDD usage when viewing the relationships between diseases and DR-MPEs. The current version of SIDD (Jul 2013) documents 4,465,131 entries relating to 139,365 DR-MPEs, and to 3,824 human diseases. The database can be freely accessed from: http://mlg.hit.edu.cn/SIDD.