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However, most network-based approaches ignore interactions mediated by noncoding RNAs (ncRNAs) and most databases only focus on the association between genes and diseases. Based on the mentioned questions, we have developed DisGeNet, a database focuses not only on the disease-associated genes but also on the interactions among genes. Here, the associations between diseases and various genes, as well as the interactions among these genes are integrated into a disease-centric network. As a result, there are a total of 502\u2009688 interactions\/associations involving 6697 diseases, 5780 lncRNAs (long noncoding RNAs), 16\u2009135 protein-coding genes, and 2610 microRNAs stored in DisGeNet. These interactions\/associations can be categorized as protein\u2013protein, lncRNA\u2013disease, microRNA\u2013gene, microRNA\u2013disease, gene\u2013disease, and microRNA\u2013lncRNA. Furthermore, as users input name\/ID of diseases\/genes for search, the interactions\/associations about the search content can be browsed as a list or viewed in a local network-view.<\/jats:p>\n               <jats:p>Database URL: https:\/\/disgenet.cn\/<\/jats:p>","DOI":"10.1093\/database\/baae122","type":"journal-article","created":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T03:06:57Z","timestamp":1736564817000},"source":"Crossref","is-referenced-by-count":33,"title":["DisGeNet: a disease-centric interaction database among diseases and various associated genes"],"prefix":"10.1093","volume":"2025","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-5372-6191","authenticated-orcid":false,"given":"Yaxuan","family":"Hu","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Xidian University , 266 Xinglong Section of Xifeng Road, Xi\u2019an, Shaanxi 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