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Genetic determinants of variable metabolism have little impact on the clinical use of leading antipsychotics in the CATIE study

  • Iris Grossman(corresponding author)
    ,
  • Patrick F. Sullivan
    ,
  • Nicole Walley
    ,
  • Youfang Liu
    ,
  • Jeffrey R. Dawson
    ,
  • Curtis Gumbs
*Corresponding author for this work
  • Duke University
    ,
  • GlaxoSmithKline
    ,
  • University of North Carolina at Chapel Hill
    ,
  • North Carolina State University
    ,
  • Children's Mercy Hospitals and Clinics
    ,
  • North Carolina Department of Health and Human Services
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

Purpose: To evaluate systematically in real clinical settings whether functional genetic variations in drug metabolizing enzymes influence optimized doses, efficacy, and safety of antipsychotic medications. Methods: DNA was collected from 750 patients with chronic schizophrenia treated with five antipsychotic drugs (olanzapine, quetiapine, risperidone, ziprasidone, and perphenazine) as part of the Clinical Antipsychotic Trials of Intervention Effectiveness study. Doses for each of the medicines were optimized to 1, 2, 3, or 4x units in identically appearing capsules in a double-blind design. We analyzed 25 known functional genetic variants in the major and minor metabolizing enzymes for each medication. These variants were tested for association with optimized dose and other relevant clinical outcomes. Results: None of the tested variants showed a nominally significant main effect in association with any of the tested phenotypes in European-Americans, African-Americans, or all patients. Even after accounting for potential covariates, no genetic variant was found to be associated with dosing, efficacy, overall tolerability, or tardive dyskinesia. Conclusion: There are no strong associations between common functional genetic variants in drug metabolizing enzymes and dosing, safety, or efficacy of leading antipsychotics, strongly suggesting merely modest effects on the use of these medicines in most patients in typical clinical settings.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 720-729 (10 pages)

Journal (Volume, Issue Number)

Genetics in Medicine (Volume 10, Issue 10)

Publication milestones

  • Published - 10/2008

Publication status

Published - 10/2008

ISSN

1098-3600

Publication IDs

  • Scopus: 56049107653
  • PubMed: 18813134

Publication metrics

Metrics

Scopus
citations
Fractional count
1
Fractional count
0.09
Fractional count
10
Fractional count
0.91
Fractional count
1
Fractional count
1
SciVal
citations
40
SciVal
FWCI
1.84
SciVal
Author count
11
SciVal
Paper percentile
86

PlumX, opens in new tab

Captures
45
Citation count
52

Funding Details

FunderFunding number
NIMH
R01MH074027