PsyGeNET (Psychiatric disorders Gene association NETwork) is a resource for the exploratory analysis of psychiatric diseases and their associated genes. PsyGeNET is composed of a database and a set of analysis tools, powered by Onexus (www.onexus.org). The database has been developed by automatic extraction of information from the literature using the text mining tool BeFree (http://ibi.imim.es/befree/), followed by curation by experts in the domain. A team of 22 experts participates as curators of the database (more information on our curation team here). This second release of PsyGeNET contains updated information on depression, bipolar disorder, alcohol use disorders and cocaine use disorders, and has been expanded to cover other psychiatric diseases of interest: bipolar disorder, schizophrenia, substance-induced depressive disorder and psychoses and cannabis use disorder. The current version of PsyGeNET (version 2.0) contains 3,771 associations between 1,549 genes and 117 psychiatric disease concepts (for more information see http://www.psygenet.org/web/PsyGeNET/v01/about). Due to its special focus on psychiatric diseases and comprehensiveness, PsyGeNET represents a valuable resource for the analysis of the molecular underpinning of psychiatric disorders and their comorbidities.



NEWS

  • January, 2018. Dear PsyGeNET users, we are working on improving PsyGeNET and we are collecting feedback from the users of PsyGeNET tools and data.

    The information will be collected via an online questionnaire accessible here

    We estimate it should take no more than 10 minutes to complete. We would be very grateful if you could complete it by January 31 2018. The results of the survey will be aggregated and all personal data will be treated as confidential. Thank you in advance for your participation.

  • September 14, 2016.psygenet2r R/Bioconductor package updated.
  • September 2, 2016. Second release of PsyGeNET available.
  • May 11, 2015.PsyGeNET: a knowledge platform on psychiatric disorders and their genes, published in Bioinformatics. See the paper here.
  • September 4, 2014. NOTE FOR R USERS: If you are using the R script for your queries, some problems could appear with the "rawToChar" function. In order to solve it just remove the function an execute it as follows: dataTsv <- getURLContent(url, readfunction =charToRaw(oql), upload = TRUE, customrequest = "POST").
  • August 24, 2014. First release of PsyGeNET available.