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Effect of the Dysbindin Gene on Antimanic Agents in Patients with Bipolar I Disorder

Overview of attention for article published in Psychiatry Investigation, June 2008
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Title
Effect of the Dysbindin Gene on Antimanic Agents in Patients with Bipolar I Disorder
Published in
Psychiatry Investigation, June 2008
DOI 10.4306/pi.2008.5.2.102
Pubmed ID
Authors

Dong-Hwan Yun, Chi-Un Pae, Antonio Drago, Laura Mandelli, Diana De Ronchi, Ashwin A. Patkar, In Ho Paik, Alessandro Serretti, Jung-Jin Kim

Abstract

We previously reported an association between dysbindin gene (DTNBP1) variants and bipolar I disorder (BID). This paper expands upon previous findings suggesting that DTNBP1 variants may play a role in the response to acute mood stabilizer treatment. A total of 45 BID patients were treated with antimanic agents (lithium, valproate, or carbamazepine) for an average of 36.52 (+/-19.87) days. After treatment, the patients were evaluated using the Clinical Global Impression (CGI) scale and the Young Mania Rating Scale (YMRS) and genotyped for their DTNBP1 variants (rs3213207 A/G, rs1011313 C/T, rs2005976 G/A, rs760761 C/T and rs2619522 A/C). There was no association between the variants investigated and response to mood stabilizer treatment, even after considering possible stratification factors. Although the small number of subjects is an important limitation in our study, DTNBP1 does not seem to be involved in acute antimanic efficacy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 33%
Other 2 13%
Student > Bachelor 1 7%
Student > Master 1 7%
Unknown 6 40%
Readers by discipline Count As %
Neuroscience 2 13%
Medicine and Dentistry 2 13%
Biochemistry, Genetics and Molecular Biology 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Computer Science 1 7%
Other 0 0%
Unknown 8 53%