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Open AccessJournal ArticleDOI

Genotypic variation in the SV2C gene impacts response to atypical antipsychotics the CATIE Study

Timothy Lynn Ramsey, +3 more
- 01 Sep 2013 - 
- Vol. 149, Iss: 1, pp 21-25
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TLDR
An association study for 106 SNPs in the synaptic vesicle protein 2C (SV2C) gene using genetic and treatment response data from the Clinical Trial of Antipsychotic Intervention Effectiveness (CATIE) suggests that further evaluation ofSNPs in this gene as PGx predictors of antipsychotic response is warranted.
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This article is published in Schizophrenia Research.The article was published on 2013-09-01 and is currently open access. It has received 24 citations till now. The article focuses on the topics: Quetiapine & Olanzapine.

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Second-Generation Antipsychotics and Dysregulation of Glucose Metabolism: Beyond Weight Gain.

TL;DR: An outlook on current research about the metabolic disturbances provoked by SGAs is given, with a particular focus on whole-body glucose homeostasis disturbances induced independently of AIWG, lipid dysregulation or adipose tissue disturbances.
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Investigating the Lived Experience of Recovery in People Who Hear Voices

TL;DR: Narrative inquiry was used to investigate voice-hearers’ lived experience of recovery, and results indicated the importance of services being sensitive and responsive to a person’s recovery style at any given time and their readiness for change.
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The Synaptic Vesicle Glycoprotein 2: Structure, Function, and Disease Relevance.

TL;DR: The structure and function of SV2 proteins are reviewed as well as their relevance to disease and therapeutic development, and several recent developments have enhanced understanding and appreciation of the protein family.
References
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Statistical methods

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Haploview: analysis and visualization of LD and haplotype maps

TL;DR: Haploview is a software package that provides computation of linkage disequilibrium statistics and population haplotype patterns from primary genotype data in a visually appealing and interactive interface.
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Controlling the false discovery rate in behavior genetics research

TL;DR: The False Discovery Rate (FDR) is the expected proportion of false discoveries among the discoveries, and controlling the FDR goes a long way towards controlling the increased error from multiplicity while losing less in the ability to discover real differences.
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