Individualising care for patients with chronic hepatitis C: predicting side effects and treatment response using genomic and proteomic approaches.

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Patients undergoing treatment for hepatitis C must endure a treatment characterized by unpredictable treatment side effects and uncertainty about the likelihood of cure. This project will investigate genetic predictors of treatment related side-effects and protein markers to predict treatment response. Better definition of the risks and benefits of therapy, may facilitate patients and clinicians to make more informed decisions about treatment, thus individualising treatment and potentially improving the safety and efficacy of therapy.