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Tailoring psychiatric treatment using genetic information: pharmacogenetic prediction of treatment response

Published on October 1, 2007 Updated on December 2, 2014   29 min

A selection of talks on Genetics & Epigenetics

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The content of this talk will focus on the pharmacogenetic prediction of treatment response in psychiatry and will include information on the most significant findings in the area and their clinical applications.
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The talk will be divided into five chapters. The first part will deal with the causes of treatment variability. The second part will explain the contribution of genetic variance in the metabolic enzymes to treatment variability. The third part will summarize genetic findings related to treatment response, followed by a summary of genetic factors related to side effects induced by psychotropic drugs. And finally, we will talk about existing genetic tests and their application for the prediction of response to psychotropic drugs.
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We will start by talking on the causes of treatment variability.
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The mainstay treatment of severe mental disorders such as schizophrenia and bipolar disorder is the use of psychotropic drugs. However, not all patients respond to treatment. 30% to 50% of treated patients fail to respond. And about 60% to 70% percent develop long-lasting and severe side effects, which can be become life threatening. These side effects include extrapyramidal side effects, weight gain and other phenotypes contributing to metabolic syndrome, sexual dysfunction, and suicidal ideation. Psychotropic drugs have a complex pharmacological profile. They target a variety of neurotransmitter systems. However, it is not clear which targets are important for the therapeutic action, and the mechanism of action of psychotropic drops remains unclear. Pharmacogenetic studies try to identify genetic variance that influence treatment response and contribute to the development of side effects. The identification of response-related variance will help to discern targets of therapeutic value. This information might help to predict treatment response based on the genetic predisposition of the patient.

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Tailoring psychiatric treatment using genetic information: pharmacogenetic prediction of treatment response

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