Improving Treatment Response
Genetic variation can influence treatment outcome. Our researchers are working to generate new knowledge, and to develop tools and algorithms that can help in personalizing medicine utilizing a patient’s genetic profile and other factors to achieve maximum therapeutic benefit with minimum toxicity.
Our Pharmacogenomic Projects
- Identification of predictive markers of chemotherapeutic responses in lymphoid malignancies and solid tumors
- Identifying markers of treatment response in cardiovascular diseases, renal transplant patients and epilepsy
- Integrating pharmacogenomic, pharmacokinetic and pharmacodynamic approaches to build algorithms for prediction of drug response
- The impact of carboxylesterase 1 variants on clinical response and adverse effect frequency in children taking methylphenidate
- Understanding the combinatorial regulation network of pharmacogenes through microRNAs and transcription factors
- Identifying additional factors influencing drug metabolism such as gender and obesity
- Understanding molecular mechanisms of drug resistance using various models
- Pharmacogenomic research in special populations
What Is Pharmacogenomics?
Pharmacogenomics aims at understanding how variations in the human genome affect the response to medications.
No drug is safe and effective in the same way in everyone. Pharmacogenomics is being used to learn ahead of time what the best drug or the best dose of a drug will be for a person.