Science News

Ethnicity Predicts How Gene Variations Affect Response to Schizophrenia Medications

ScienceDaily (Jan. 9, 2008) — Different variations in the same gene influence how well different ethnic groups, and people within the same ethnic group, respond to various antipsychotic medications, report NIMH-funded researchers. If confirmed, their findings could one day help clinicians predict which medication is most likely to help a patient, based on his or her genetic makeup.

A medication that works well for one person with schizophrenia often doesn’t work well for another. Genetic variations are thought to play a key role in this difference in response. While patients search for the right medications, their illnesses may worsen. Studies such as this one are aimed at discovering how specific gene variations affect patients’ responses to specific medications, to better match patients to treatments.

The gene containing the variations, RGS4, had been implicated in schizophrenia in previous studies. It makes a protein that is thought to regulate the effects of receptors found on brain cells. The receptors, called G-protein coupled receptors, are known to be targets of antipsychotic medications.

In this study, researchers compared how people of different ancestry responded to five different medications, then looked at which variations they had in their RGS4 genes. The 678 patients had taken part in the NIMH-funded Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE). They included 198 people of African descent, 397 people of European descent, and 83 people of other ancestries.

Highlights of the findings are shown below.

  • Perphenazine and the newer medication olanzapine were particularly effective in African-descent patients with certain variations in the gene.
  • Patients of African ancestry with a certain variation responded better to the medication perphenazine than to the newer medications quetiapine and ziprasidone.
  • Variations in the gene predicted how well patients of European ancestry responded to the newer medication risperidone.

Differences in response to ziprasidone were striking. During treatment with ziprasidone, schizophrenia symptoms actually worsened in patients of African descent with certain variations of the gene. However, in those with a different variation, ziprasidone was as effective as other treatments. The same genetic variations did not have the same predictive value for ziprasidone in European-ancestry patients.

The authors importantly note that their results will require replication, but the findings indicate that RGS4 contributes to both the severity of schizophrenia symptoms and the response to antipsychotic treatment. Dr. Krystal adds, "While this type of information is not yet ready to guide clinical practice, since the RGS4 variants explain only a small component of overall patterns of treatment response, these data provide an example of "pharmacogenomics", the approach that will very likely ultimately guide treatment."

Journal reference: Campbell DB, Ebert PJ, Skelly T, Stroup TS, Lieberman J, Levitt P, Sullivan PF. Ethnic Stratification of the Association of RGS4 Variants with Antipsychotic Treatment Response in Schizophrenia. Biological Psychiatry. 2008 Jan 1;63(1):32-41. Epub 2007 Jun 22. PMID: 17588543


Adapted from materials provided by National Institute Of Mental Health.
Email or share this story:
| More
APA

MLA

Search ScienceDaily

Number of stories in archives: 77,048

Find with keyword(s):
 
Enter a keyword or phrase to search ScienceDaily's archives for related news topics,
the latest news stories, reference articles, science videos, images, and books.
 

Science Video News


Gene Chip for Personalized Meds

The first in a new generation of gene microarrays, computer chips that chemically or electrically express DNA, can predict how a person's body will. ...  > full story

Breaking News

... from NewsDaily.com

In Other News ...

Copyright Reuters 2008. See Restrictions.

Free Subscriptions

... from ScienceDaily

Get the latest science news with our free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Feedback

... we want to hear from you!

Tell us what you think of the new ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Post this page to your favorite social bookmarking site:
close
Include this item in your blog or web site:
close
Cite this article in your essay, paper, or report:
close
Email this page's link to a friend or colleague:
close