Identifying a predictive model for response to atypical antipsychotic monotherapy treatment in south Indian schizophrenia patients.

Abstract

Atypical antipsychotic (AAP) drugs are the preferred choice of treatment for schizophrenia patients. Patients who do not show favorable response to AAP monotherapy are subjected to random prolonged therapeutic treatment with AAP multitherapy, typical antipsychotics or a combination of both. Therefore, prior identification of patients' response to drugs can be an important step in providing efficacious and safe therapeutic treatment. We thus attempted to elucidate a genetic signature which could predict patients' response to AAP monotherapy. Our logistic regression analyses indicated the probability that 76% patients carrying combination of four SNPs will not show favorable response to AAP therapy. The robustness of this prediction model was assessed using repeated 10-fold cross validation method, and the results across n-fold cross-validations (mean accuracy=71.91%; 95%CI=71.47-72.35) suggest high accuracy and reliability of the prediction model. Further validations of these results in large sample sets are likely to establish their clinical applicability.

• Authors: Meenal Gupta, Nagaraj S Moily, Harpreet Kaur, Ajay Jajodia, Sanjeev Jain, Ritushree Kukreti
• Journal: Genomics (Genomics) Vol. 102 Issue 2 Pg. 131-5 (Aug 2013) ISSN: 1089-8646 [Electronic] United States
• PMID: 23402766 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
• Copyright: Copyright © 2013 Elsevier Inc. All rights reserved.

Chemical References

• Antipsychotic Agents

Topics

• Adult
• Antipsychotic Agents (adverse effects, therapeutic use)
• Female
• Humans
• India (epidemiology)
• Male
• Polymorphism, Single Nucleotide
• Regression Analysis
• Reproducibility of Results
• Schizophrenia (drug therapy, ethnology, genetics)