Patterns of variation influencing antipsychotic treatment outcomes in South African first-episode schizophrenia patients

Author:

Drogemöller Britt I1,Niehaus Dana JH2,Chiliza Bonginkosi2,Merwe Lize van der34,Asmal Laila2,Malhotra Anil K5,Wright Galen EB6,Emsley Robin2,Warnich Louise7

Affiliation:

1. Department of Genetics, Stellenbosch University, Private Bag XI, Matieland, 7602, Western Cape, South Africa

2. Department of Psychiatry, Stikland Hospital, Stellenbosch University, Western Cape, South Africa

3. University of the Western Cape, Department of Statistics, Bellville, Western Cape, South Africa

4. Stellenbosch University, Department of Molecular Biology & Human Genetics, Tygerberg, Western Cape, South Africa

5. Department of Psychiatry, Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, USA

6. Department of Genetics, Stellenbosch University, Private Bag XI, Matieland, 7602, Western Cape, South Africa & Current address: South African National Bioinformatics Institute, University of the Western Cape, South Africa

7. Department of Genetics, Stellenbosch University, Private Bag XI, Matieland, 7602, Western Cape, South Africa.

Abstract

Aim: Many antipsychotic pharmacogenetics studies have been performed examining candidate genes or known variation; however, our understanding of the genetic factors involved in antipsychotic pharmacogenetic traits remains limited. Materials & methods: A well-characterized cohort of first-episode schizophrenia (FES) patients was used to identify a subset of nonresponders and responders to antipsychotic treatment for exome sequencing (n = 11). The variation observed in the responders and nonresponders was subsequently compared and a prioritization strategy was employed to identify variants for genotyping in the entire FES cohort (n = 103) as well as an additional Xhosa schizophrenia cohort (n = 222). Results: Examination of coding variation revealed a potential role for rare loss-of-function variants in treatment response outcomes. One variant, rs11368509, was found to be weakly associated with better treatment outcomes in the FES cohort (p = 0.057) and the Xhosa schizophrenia cohort (p = 0.016). In addition, the majority of the loss-of-function variation that was considered likely to be involved in antipsychotic treatment response was either novel or rare in Asian and European populations. Conclusion: This pilot study has highlighted the importance of exome sequencing for antipsychotic pharmacogenomics studies, particularly in African individuals. Furthermore, the results emphasize once again the complexity of antipsychotic pharmacogenomics and the need for future research. Original submitted 8 July 2013; Revision submitted 24 October 2013

Publisher

Future Medicine Ltd

Subject

Pharmacology,Genetics,Molecular Medicine

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