| Chapter title |
Pharmacogenetics of antipsychotic treatment in schizophrenia.
|
|---|---|
| Chapter number | 14 |
| Book title |
Pharmacogenomics in Drug Discovery and Development
|
| Published in |
Methods in molecular biology, January 2014
|
| DOI | 10.1007/978-1-4939-0956-8_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-0955-1, 978-1-4939-0956-8
|
| Authors |
Jennie G Pouget, Daniel J Müller, Jennie G. Pouget, Daniel J. Müller, Pouget, Jennie G., Müller, Daniel J. |
| Abstract |
Antipsychotics are the mainstay treatment for schizophrenia. There is large variability between individuals in their response to antipsychotics, both in efficacy and adverse effects of treatment. While the source of interindividual variability in antipsychotic response is not completely understood, genetics is a major contributing factor. The identification of pharmacogenetic markers that predict antipsychotic efficacy and adverse reactions is a growing area of research, and holds the potential to replace the current trial-and-error approach to treatment selection in schizophrenia with a personalized medicine approach.In this chapter, we provide an overview of the current state of pharmacogenetics in schizophrenia treatment. The most promising pharmacogenetic findings are presented for both antipsychotic response and commonly studied adverse reactions. The application of pharmacogenetics to schizophrenia treatment is discussed, with an emphasis on the clinical utility of pharmacogenetic testing and directions for future research. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 17% |
| Other | 5 | 10% |
| Student > Master | 5 | 10% |
| Researcher | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Other | 9 | 19% |
| Unknown | 12 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 23% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Agricultural and Biological Sciences | 3 | 6% |
| Computer Science | 2 | 4% |
| Other | 9 | 19% |
| Unknown | 14 | 29% |