A Human Wnt Diseasome
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Network among both diseases
Welcome to the Human Wnt Diseasome database
In the era of personalized and systems medicine, a network centric view of diseases and their comorbidity is important. Diseases may not always be independent of each other. Presence of more than one disease in a patient often complicates and jeopardizes the treatment, because they may share some common genes. More connected a disease is to other diseases, the higher is its prevalence and associated mortality rate (Lee et al. 2008). For example, certain diseases like Diabetes, Obesity, Gaucher disease and Parkinson disease often co-occur in the same individual. Diseasome-wise studies are needed to understand such situations.
A diseasome is a combined set of all known disorders and gene associations in a species. It is created by linking the complete set of genetic disorders (Phenome) with the complete list of disease genes (Genome) (Goh et al. 2007). In a human disease network, two disorders are linked with each other, if they share at least a common disease gene. On the other hand, in a disease gene network, disease genes are linked, if both of them are associated with single or multiple common disorder(s). Disease maps are potential knowledge bases that throw light on multiple disease related complicacies. For appropriate disease-specific diagnostic, prognostic and therapeutic approaches, gene-disease association studies provide valuable information (Tiffin et al. 2009).
In this respect, the Human Wnt Diseasome database is constructed to view gene-disease and disease-disease associations of genes involved in the human Wnt signaling pathway.
The database contains 57 genes of the Wnt signaling pathway. However, 9 of these genes (CAMK2A, CER1, CHD8, CHP, CSNK1A1L, MAPK8, NKD1, PRKACA, PRKCA) are not associated with any diseases. Hence, for these genes, no gene-disease and disease-disease associations are available. The database also lists 112 diseases associated with these genes along with 200 gene-disease associations and 1789 disease-disease associations including redundancy. The whole data is manually created based on existing literature. In most of the cases, the gene-disease associations are cited.
The data has been included in the article titled "Disease Comorbidity and the Human Wnt signaling Pathway: A network-wise Study" by Losiana Nayak, Harinandan Tunga and Rajat K. De. In this article, the data has been analyzed by L. Nayak and R. K. De, while H. Tunga has provided web support for designing the public webpage of the Human Wnt Diseasome database. The reserach article is temporarily unavailable as it is under review. However, the entire dataset can be Browsed here. The readers can also download unique gene-disease associations and disease-disease associations for two or more genes of their interest instead of the whole dataset.