PUMA
Istituto di Informatica e Telematica     
Russo F., Privitera A., Distefano R., Ferro A., Giugno R. OCDB: the first overall database collecting genes, miRNAs and drugs for Obsessive-Compulsive Disorder. In: Bioinformatics Italian Society (BITS) Annual Meeting 2014 (Roma, 26/02 2014). Abstract, pp. 1 - 1. -, 2014.
 
 
Abstract
(English)
Motivation: Obsessive-compulsive disorder (OCD) is a psychiatric condition characterized by intrusive and unwilling thoughts (obsessions) which give rise to anxiety. The patients feel forced to perform a behavior (compulsions) related to the obsession. They suffer very much since they struggle to resist to their compulsions while feel to be required to perform them. The World Health Organization ranks OCD as 1 of 10 most disabling medical conditions worldwide(1). The OCD is a pathology, among all anxiety disorders, for which hereditary component has been demonstrated. Consequently online resources collecting and integrating scientific discoveries and genetic evidences about OCD would be very helpful. Methods: Several studies supporting the existence of genetic susceptibility factors have been reported (2). The most studied genes are SLC1A1, SLC6A4, SLC6A2, HTR2A, HTR2C and, more recently, NTRK3 and SLITRK1. Very few studies reported the role of miRNAs downregulating disease candidate genes and drug targets in anxiety disorders and OCD(3)(4) . Here we propose a manually curated database, OCDB, which will be soon available on line showing relationship between OCD-associated genes, OCD-miRNAs and OCD-drugs with particular emphasis on drug targets and their polymorphisms. We maintain the therapeutical and side effects of the drugs, miRNA and drug targets polymorphisms, miRNA binding and information about the candidate disease genes (location, alias, their use as putative biomarkers, and so on). Relevant pathologies (OCD or associated disease such as social phobia and schizophrenia) and experimental conditions (i.e., number of samples, used softwares, and so on) will be also reported. The database has been created using MySQL, Apache and PHP. It contains relations among 45 genes, 24 miRNAs and 7 drugs. Several tools for advanced search and browsing have been integrated. An export function to download search results in various formats (CSV, XLS, TXT) will be available. Results: Our database is an essential resource to improve knowledge on this pathology and to support genome-wide analysis studies. For instance using our database the gene HTR2C results to be simultaneously a target of the Clomipramina drug and of miR-22(4), and contain polymorphisms. Such information was separately reported in 5 publications. Finally, genetic scientific results concerning OCD related to autism and other anxiety disorder are also reported. For all these reasons OCDB may represent an important knowledge base for researchers working on anxiety disorders.
Subject Bioinformatics, Computational Biology, non-coding RNAs
Bioinformatics & Computational biology


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