The Sequence Manipulation Suite. DisGeNET - a database of gene-disease associations. One of the most challenging problems in biomedical research is to understand the underlying mechanisms of complex diseases. Great effort has been spent on finding the genes associated to diseases (Botstein and Risch, 2003 ; Kann, 2009). However, more and more evidences indicate that most human diseases cannot be attributed to a single gene but arise due to complex interactions among multiple genetic variants and environmental risk factors (Hirschhorn and Daly, 2005). Several databases have been developed storing associations between genes and diseases such as CTDTM (Mattingly et al., 2006), OMIM® (Hamosh et al.,2005) and GAD (Becker et al., 2004). Each of these databases focuses on different aspects of the phenotype-genotype relationship, and due to the nature of the database curation process, they are not complete.
DisGeNET is a gene-disease database integrating gene-disease associations from several public, expert, curated data sources and text mining derived associations. Genetic Association Database. National Center for Biotechnology Information. The NCBI Handbook - NCBI Bookshelf. NCBI YouTube Channel.
NCBI Blast Tutorial.