SNPs and pharmacogenomics

Pharmacogenetic studies of response to risperidone and other newer atypical antipsychotics

Risperidone and other newer atypical antipsychotics are becoming the mainstay for schizophrenia treatment. Recent studies suggest that the 5-hydroxytryptamine receptor 2A (5-HT2A) gene (HTR2A) T102C and G-1438A polymorphisms may influence treatment response of risperidone or olanzapine for schizophrenia's negative symptoms (e.g., blunted affect and social withdrawal). In addition, the HTR6 T267C polymorphism has been linked to risperidone response for positive symptoms (delusions and hallucinations). The dopamine D2 receptor (DRD2) Ser311Cys polymorphism may also play a role in determining risperidone efficacy for positive, negative and cognitive symptoms, the DRD2 Ins-A2/Del-A1 diplotype may predict better risperidone response, and the DRD3 Ser311Cys variant may affect general treatment response of several atypical agents. Although investigators have started to explore genetic effects on cognitions of schizophrenia patients receiving antipsychotics, future larger sized pharmacogenetic studies on both psychotic symptoms and cognitive functions are warranted.

Pharmacogenomics and breast cancer

Germline variants can be used to study breast cancer susceptibility as well as the variable response to both drug and radiation therapy used in the treatment of breast cancer. In addition to germline high-penetrance mutations important in familial and hereditary breast cancer, a substantial component of breast cancer risk can be attributed to the combined effect of many low-risk germline polymorphisms involved in relevant pathways like those of DNA repair, adhesion, carcinogen and estrogen metabolism. Additionally, the identification of sequence variants in genes involved in response to chemotherapy and radiation treatment, has created the opportunity to apply genomics to individualized treatment. The continued insight into the molecular pathways involved in drug and radiation response has enabled progress in tailoring therapies in such a way as to both maximize efficacy and minimize toxicity. Polymorphisms in genes encoding drug-metabolizing enzymes, drug transporters and drug targets can be used to predict toxicity and response to pharmacologic agents used in breast cancer treatment. Similarly, germline variants in genes involved in DNA repair, radiation-induced fibrosis and reactive oxygen species may be used to predict response to radiation therapy. As a result, pharmacogenomics is rapidly evolving to affect the entire spectrum of breast cancer management, influencing both prevention and treatment choices.