Statistical Methods for Pharamacogenetics

药物遗传学统计方法

• 批准号: G0901388/1
• 负责人: David Balding
• 金额: $ 69.14万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=G0901388%2F1
• 关键词: Statistical; Methods; Pharamacogenetics

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.

药物遗传学是利用遗传信息来改善药物的处方，或者通过根据他/她的遗传类型快速预测患者的正确剂量，或者通过避免将药物处方给那些具有不合适遗传类型的人。直到最近，药物遗传学的重点是已知参与药物转运或作用的少数基因，但越来越多的来自整个基因组的遗传数据被考虑在内。虽然所谓的个性化医疗已经谈论了很多年，但迄今为止在这一领域取得的成就仍然局限于少数疾病和药物。该过程中的一个瓶颈是对数据集进行有效的统计分析，这些数据集通常相对较小，但在对患者进行的结果测量以及患者及其治疗的多样性方面都很复杂。该提案的目标是开发和提供更好的统计方法，有助于使药物遗传学更有成效。