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

接受丙型肝炎治疗的患者必须忍受以不可预测的治疗副作用和治愈可能性的不确定性为特征的治疗。该项目将研究治疗相关副作用的遗传预测因素和预测治疗反应的蛋白质标记物。更好地定义治疗的风险和好处，可能有助于患者和临床医生做出更明智的治疗决定，从而使治疗个体化，并有可能提高治疗的安全性和有效性。

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.