| Title |
Pharmacogenetics of antipsychotic adverse effects: Case studies and a literature review for clinicians
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, January 2008
|
| DOI | 10.2147/ndt.s1752 |
| Pubmed ID | |
| Authors |
Adriana Foster, Zixuan Wang, Manzoor Usman, Edna Stirewalt, Peter Buckley |
| Abstract |
There is a growing body of literature supporting the contribution of genetic variability to the mechanisms responsible for the adverse effects of antipsychotic medications particularly movement disorders and weight gain. Despite the current gap between research studies and the practical tools available to the clinician to identify such risks, it is hoped that in the foreseeable future, pharmacogenetics will become a critical aid to guide the development of personalized therapeutic regimes with fewer adverse effects. We provide a summary of two cases that are examples of using cytochrome P450 pharmacogenetics in an attempt to guide treatment in the context of recent literature concerning the role of pharmacogenetics in the manifestation of adverse effects of antipsychotic therapies. These examples and the review of recent literature on pharmacogenetics of antipsychotic adverse effects illustrate the potential for applying the principles of predictive, preventive, and personalized medicine to the therapy of psychotic disorders. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 2% |
| Unknown | 53 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 19% |
| Student > Ph. D. Student | 6 | 11% |
| Other | 5 | 9% |
| Student > Postgraduate | 5 | 9% |
| Professor > Associate Professor | 5 | 9% |
| Other | 15 | 28% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 35% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 11% |
| Agricultural and Biological Sciences | 4 | 7% |
| Psychology | 4 | 7% |
| Nursing and Health Professions | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 11 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 April 2023.
All research outputs
#3,261,035
of 25,371,288 outputs
Outputs from Neuropsychiatric Disease and Treatment
#445
of 3,132 outputs
Outputs of similar age
#12,936
of 168,384 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#4
of 18 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 85% of its peers.
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We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.