Literature DB >> 15091314

Polymorphisms in glutamate decarboxylase genes: analysis in schizophrenia.

Vincenzo De Luca1, Pierandrea Muglia, Mario Masellis, E Jane Dalton, Greg W H Wong, James L Kennedy.   

Abstract

The decrease of glutamic acid decarboxylase (GAD) has been reported as an important neurochemical alteration of the inhibitory GABAergic interneurons in schizophrenia. To our knowledge no studies have investigated the genetic variants influencing GAD expression. To search for markers contributing to the genetic susceptibility of schizophrenia, we typed two polymorphisms by polymerase chain reaction-restriction fragment length polymorphism in both GAD1 and GAD2 genes in 112 triad families and 46 case-controls. We used the Transmission Disequilibrium Test to perform the qualitative family-based analyses and found negative results (GAD1, chi2 = 0.273, 1 degree of freedom, P = 0.60; GAD2, chi2 = 0, 1 degree of freedom, P = 1). In addition there were no associations with GAD1 and GAD2 and quantitative measures of suicide behaviour in this sample. Although our results are negative, this was the first study to investigate GAD genes in schizophrenia, and further studies of these genes, particularly with schizophrenia subtypes, may prove valuable.

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Year:  2004        PMID: 15091314     DOI: 10.1097/00041444-200403000-00006

Source DB:  PubMed          Journal:  Psychiatr Genet        ISSN: 0955-8829            Impact factor:   2.458


  6 in total

1.  Comprehensive analysis of polymorphisms throughout GAD1 gene: a family-based association study in schizophrenia.

Authors:  J Du; S Duan; H Wang; W Chen; X Zhao; A Zhang; L Wang; J Xuan; L Yu; S Wu; W Tang; X Li; H Li; G Feng; Q Xing; L He
Journal:  J Neural Transm (Vienna)       Date:  2008-03-12       Impact factor: 3.575

Review 2.  Region-specific changes in gamma and beta2 rhythms in NMDA receptor dysfunction models of schizophrenia.

Authors:  Anita K Roopun; Mark O Cunningham; Claudia Racca; Kai Alter; Roger D Traub; Miles A Whittington
Journal:  Schizophr Bull       Date:  2008-06-09       Impact factor: 9.306

3.  A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia.

Authors:  Honghui Yang; Jingyu Liu; Jing Sui; Godfrey Pearlson; Vince D Calhoun
Journal:  Front Hum Neurosci       Date:  2010-10-25       Impact factor: 3.169

4.  GAD67 deficiency in parvalbumin interneurons produces deficits in inhibitory transmission and network disinhibition in mouse prefrontal cortex.

Authors:  Matthew S Lazarus; Keerthi Krishnan; Z Josh Huang
Journal:  Cereb Cortex       Date:  2013-11-24       Impact factor: 5.357

Review 5.  Molecular targets for treating cognitive dysfunction in schizophrenia.

Authors:  John A Gray; Bryan L Roth
Journal:  Schizophr Bull       Date:  2007-07-07       Impact factor: 7.348

6.  MicroRNA-derived network analysis of differentially methylated genes in schizophrenia, implicating GABA receptor B1 [GABBR1] and protein kinase B [AKT1].

Authors:  Vadim Gumerov; Hedi Hegyi
Journal:  Biol Direct       Date:  2015-10-08       Impact factor: 4.540

  6 in total

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