Literature DB >> 11424988

Symptom dimensions in obsessive-compulsive disorder: toward quantitative phenotypes.

J F Leckman1, H Zhang, J P Alsobrook, D L Pauls.   

Abstract

The authors review evidence of symptom dimensions in obsessive-compulsive disorder (OCD) and their potential value as quantitative phenotypes in genetic studies of OCD and related conditions. Preliminary evidence supports the existence of four separate symptom dimensions. A small series of clinical and family genetic studies support the validity of one or more of these dimensions. However, critical data concerning the distribution of these dimensions in the general population are lacking, and the hereditability of these traits has yet to be established.

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Year:  2001        PMID: 11424988

Source DB:  PubMed          Journal:  Am J Med Genet        ISSN: 0148-7299


  13 in total

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Review 2.  Genetics of early-onset obsessive-compulsive disorder.

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3.  Alternative factor models and heritability of the Short Leyton Obsessional Inventory-Children's Version.

Authors:  Janette Moore; Gillian W Smith; Mark Shevlin; Francis A O'Neill
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4.  Association of a glutamate (NMDA) subunit receptor gene (GRIN2B) with obsessive-compulsive disorder: a preliminary study.

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6.  Dimensional predictors of response to SRI pharmacotherapy in obsessive-compulsive disorder.

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Review 7.  Glutamate-modulating drugs as novel pharmacotherapeutic agents in the treatment of obsessive-compulsive disorder.

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Review 8.  Invasive circuitry-based neurotherapeutics: stereotactic ablation and deep brain stimulation for OCD.

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Journal:  Neuropsychopharmacology       Date:  2010-01       Impact factor: 7.853

Review 9.  The relationship between impulse-control disorders and obsessive-compulsive disorder: a current understanding and future research directions.

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Journal:  Psychiatry Res       Date:  2009-10-06       Impact factor: 3.222

10.  A common haplotype of the nicotine acetylcholine receptor alpha 4 subunit gene is associated with vulnerability to nicotine addiction in men.

Authors:  Yan Feng; Tianhua Niu; Houxun Xing; Xin Xu; Changzhong Chen; Shaojie Peng; Lihua Wang; Nan Laird; Xiping Xu
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