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Outcome definitions and clinical predictors influence pharmacogenetic associations between HTR3A gene polymorphisms and response to clozapine in patients with schizophrenia

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Abstract

Rationale

Pharmacogenetics of schizophrenia has not yet delivered anticipated clinical dividends. Clinical heterogeneity of schizophrenia contributes to the poor replication of the findings of pharmacogenetic association studies. Functionally important HTR3A gene single-nucleotide polymorphisms (SNPs) were reported to be associated with response to clozapine.

Objective

The aim of this study was to investigate how the association between HTR3A gene SNP and response to clozapine is influenced by various clinical predictors and by differing outcome definitions in patients with treatment-resistant schizophrenia (TRS).

Methods

We recruited 101 consecutive patients with TRS, on stable doses of clozapine, and evaluated their HTR3A gene SNP (rs1062613 and rs2276302), psychopathology, and serum clozapine levels. We assessed their socio-demographic and clinical profiles, premorbid adjustment, traumatic events, cognition, and disability using standard assessment schedules. We evaluated their response to clozapine, by employing six differing outcome definitions. We employed appropriate multivariate statistics to calculate allelic and genotypic association, accounting for the effects of various clinical variables.

Results

T allele of rs1062613 and G allele of rs2276302 were significantly associated with good clinical response to clozapine (p = 0.02). However, varying outcome definitions make these associations inconsistent. rs1062613 and rs2276302 could explain only 13.8 % variability in the responses to clozapine, while combined clinical predictors and HTR3A pharmacogenetic association model could explain 38 % variability.

Conclusions

We demonstrated that the results of pharmacogenetic studies in schizophrenia depend heavily on their outcome definitions and that combined clinical and pharmacogenetic models have better predictive values. Future pharmacogenetic studies should employ multiple outcome definitions and should evaluate associated clinical variables.

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Acknowledgments

This study was funded by a fluid research grant (22 X 356) by the Christian Medical College, Vellore, India. The funding source had no further role in study design in the collection, analysis and interpretation of data, in the writing of the report, and in the decision to submit the paper for publication. We are grateful to Dr. S. Bhuvaneshwari, Ms. C. Chitra, Dr. P. Thangadurai, Ms. Vaidegi, Ms. Senthamizh selvi, Dr. S.D. Manoranjitham, Dr. Binu Susan Mathew, Mr. K. Saravanakumar, and Mrs. S. Velvizhi, Christian Medical College, Vellore, for their help and support. We thank all participants and their families.

Conflict of interests

This study was funded by a fluid research grant (22 X 356) by the Christian Medical College, Vellore, India. None of the authors have any competing interests to declare.

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Correspondence to K. S. Jacob.

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Rajkumar, A.P., Poonkuzhali, B., Kuruvilla, A. et al. Outcome definitions and clinical predictors influence pharmacogenetic associations between HTR3A gene polymorphisms and response to clozapine in patients with schizophrenia. Psychopharmacology 224, 441–449 (2012). https://doi.org/10.1007/s00213-012-2773-2

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