File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Analysis of genome-wide association data highlights candidates for drug repositioning in psychiatry

TitleAnalysis of genome-wide association data highlights candidates for drug repositioning in psychiatry
Authors
Issue Date2017
Citation
Nature Neuroscience, 2017, v. 20, p. 1342-1349 How to Cite?
AbstractKnowledge of psychiatric disease genetics has advanced rapidly during the past decade with the advent of genome-wide association studies (GWAS). However, less progress has been made in harnessing these data to reveal new therapies. Here we propose a framework for drug repositioning by comparing transcriptomes imputed from GWAS data with drug-induced gene expression profiles from the Connectivity Map database and apply this approach to seven psychiatric disorders. We found a number of repositioning candidates, many supported by preclinical or clinical evidence. Repositioning candidates for a number of disorders were also significantly enriched for known psychiatric medications or therapies considered in clinical trials. For example, candidates for schizophrenia were enriched for antipsychotics, while those for bipolar disorder were enriched for both antipsychotics and antidepressants. These findings provide support for the usefulness of GWAS data in guiding drug discovery.
Persistent Identifierhttp://hdl.handle.net/10722/248611
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorSo, HC-
dc.contributor.authorChau, CKL-
dc.contributor.authorChiu, WT-
dc.contributor.authorHo, KS-
dc.contributor.authorLo, CP-
dc.contributor.authorYim, SHY-
dc.contributor.authorSham, PC-
dc.date.accessioned2017-10-18T08:45:52Z-
dc.date.available2017-10-18T08:45:52Z-
dc.date.issued2017-
dc.identifier.citationNature Neuroscience, 2017, v. 20, p. 1342-1349-
dc.identifier.urihttp://hdl.handle.net/10722/248611-
dc.description.abstractKnowledge of psychiatric disease genetics has advanced rapidly during the past decade with the advent of genome-wide association studies (GWAS). However, less progress has been made in harnessing these data to reveal new therapies. Here we propose a framework for drug repositioning by comparing transcriptomes imputed from GWAS data with drug-induced gene expression profiles from the Connectivity Map database and apply this approach to seven psychiatric disorders. We found a number of repositioning candidates, many supported by preclinical or clinical evidence. Repositioning candidates for a number of disorders were also significantly enriched for known psychiatric medications or therapies considered in clinical trials. For example, candidates for schizophrenia were enriched for antipsychotics, while those for bipolar disorder were enriched for both antipsychotics and antidepressants. These findings provide support for the usefulness of GWAS data in guiding drug discovery.-
dc.languageeng-
dc.relation.ispartofNature Neuroscience-
dc.titleAnalysis of genome-wide association data highlights candidates for drug repositioning in psychiatry-
dc.typeArticle-
dc.identifier.emailSham, PC: pcsham@hku.hk-
dc.identifier.authoritySham, PC=rp00459-
dc.identifier.doi10.1038/nn.4618-
dc.identifier.hkuros281962-
dc.identifier.volume20-
dc.identifier.spage1342-
dc.identifier.epage1349-
dc.identifier.isiWOS:000411686400007-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats