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本文引用的文献

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A statin-dependent QTL for GATM expression is associated with statin-induced myopathy.一个依赖于他汀类药物的 GATM 表达的 QTL 与他汀类药物诱导的肌病有关。
Nature. 2013 Oct 17;502(7471):377-80. doi: 10.1038/nature12508. Epub 2013 Aug 28.
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Purine pathway implicated in mechanism of resistance to aspirin therapy: pharmacometabolomics-informed pharmacogenomics.嘌呤代谢途径参与阿司匹林抵抗的作用机制:基于药物代谢组学信息的药物基因组学研究。
Clin Pharmacol Ther. 2013 Oct;94(4):525-32. doi: 10.1038/clpt.2013.119. Epub 2013 Jun 11.
3
Institutional profile: University of Florida and Shands Hospital Personalized Medicine Program: clinical implementation of pharmacogenetics.机构简介:佛罗里达大学和 Shands 医院个性化医学计划:药物遗传学的临床实施。
Pharmacogenomics. 2013 May;14(7):723-6. doi: 10.2217/pgs.13.59.
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2012 ACCF/AHA focused update incorporated into the ACCF/AHA 2007 guidelines for the management of patients with unstable angina/non-ST-elevation myocardial infarction: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines.2012年美国心脏病学会基金会/美国心脏协会不稳定型心绞痛/非ST段抬高型心肌梗死患者管理指南重点更新纳入2007年美国心脏病学会基金会/美国心脏协会实践指南:美国心脏病学会基金会/美国心脏协会实践指南工作组报告
Circulation. 2013 Jun 11;127(23):e663-828. doi: 10.1161/CIR.0b013e31828478ac. Epub 2013 Apr 29.
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The Pharmacogenomics Research Network Translational Pharmacogenetics Program: overcoming challenges of real-world implementation.药物基因组学研究网络转化药物遗传学计划:克服真实世界实施的挑战。
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Social network analysis in healthcare settings: a systematic scoping review.医疗环境中的社交网络分析:系统范围界定综述。
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采用系统方法解决临床实施药物基因组学面临的挑战。

Using systems approaches to address challenges for clinical implementation of pharmacogenomics.

机构信息

Department of Medicine, Vanderbilt University, Nashville, TN, USA.

出版信息

Wiley Interdiscip Rev Syst Biol Med. 2014 Mar-Apr;6(2):125-35. doi: 10.1002/wsbm.1255. Epub 2013 Dec 6.

DOI:10.1002/wsbm.1255
PMID:24319008
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3944797/
Abstract

Many genetic variants have been shown to affect drug response through changes in drug efficacy and likelihood of adverse effects. Much of pharmacogenomic science has focused on discovering and clinically implementing single gene variants with large effect sizes. Given the increasing complexities of drug responses and their variability, a systems approach may be enabling for discovery of new biology in this area. Further, systems approaches may be useful in addressing challenges in moving these data to clinical implementation, including creation of predictive models of drug response phenotypes, improved clinical decision-making through complex biological models, improving strategies for integrating genomics into clinical practice, and evaluating the impact of implementation programs on public health.

摘要

许多遗传变异已被证明会通过改变药物疗效和不良反应的可能性来影响药物反应。 药物基因组学的大部分研究都集中在发现和临床实施具有较大效应的单基因变异上。 鉴于药物反应及其变异性日益复杂,系统方法可能有助于在该领域发现新的生物学。 此外,系统方法可能有助于解决将这些数据转化为临床应用的挑战,包括创建药物反应表型的预测模型,通过复杂的生物学模型改善临床决策,改进将基因组学纳入临床实践的策略以及评估实施计划对公共卫生的影响。