Statistical Methods for Pharamacogenetics

药物遗传学是利用遗传信息来改进药物处方的方法，方法是根据患者的基因类型快速预测患者的正确剂量，或避免向基因类型不合适的患者开药。直到最近，药物遗传学一直集中在少数已知参与药物运输或作用的基因上，但越来越多地考虑到来自整个基因组的遗传数据。尽管所谓的个人化医学已经被谈论了很多年，但到目前为止，这一领域的成就仍然局限于少数几种疾病和药物。这一过程中的一个瓶颈是对数据集进行有效的统计分析，这些数据集往往相对较小，但就对患者的结果衡量以及患者及其治疗的多样性而言，这些数据集都很复杂。这项提议的目标是开发和提供更好的统计方法，帮助提高药物遗传学的生产力。

Pharmacogenetics is the use of genetic information to improve the prescribing of drugs, either through rapid prediction of the correct dose for a patient according to his/her genetic type, or by avoiding the prescription of drugs to those with unsuitable genetic types. Until recently pharmacogenetics was focussed on a small number of genes known to be involved in drug transport or action, but increasingly genetic data from the whole genome is taken into account. Although so-called personalised medicine has been talked about for many years now, the achievements to date in this area remain limited to a few diseases and drugs. One bottleneck in the process is efficient statistical analysis of datasets that are often relatively small, but complex in terms of both the outcome measures made on patients and the diversity of patients and their treatments. The goal of this proposal is to develop and make available better statistical methods that can help make pharmacogenetics more productive.