Ethics and Privacy Considerations for Systems Biology Applications in Predictive and Personalized Medicine

Handbook of Research on Computational and Systems Biology Pub Date : 2011-12-01 DOI:10.4018/978-1-60960-491-2.ch001

J. Chen, Heng Xu, Pan Shi, Adam Culbertson, E. Meslin

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引用次数: 7

Abstract

Integrative analysis and modeling of the omics data using systems biology have led to growing interests in the development of predictive and personalized medicine. Personalized medicine enables future physicians to prescribe the right drug to the right patient at the right dosage, by helping them link each patient’s genotype to their specific disease conditions. This chapter shares technological, ethical, and social perspectives on emerging personalized medicine applications. First, it examines the history and research trends of pharmacogenomics, systems biology, and personalized medicine. Next, it presents bioethical concerns that arise from dealing with the increasing accumulation of biological samples in many biobanking projects today. Lastly, the chapter describes growing concerns over patient privacy when large amount of individuals’ genetic data and clinical data are managed electronically and accessible online. Eric M. Meslin Indiana University Center for Bioethics, USA & Indiana University, USA DOI: 10.4018/978-1-4666-3604-0.ch071

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在预测性和个性化医学中系统生物学应用的伦理和隐私考虑

使用系统生物学对组学数据进行综合分析和建模，导致对预测和个性化医学发展的兴趣日益浓厚。个性化医疗使未来的医生能够通过帮助他们将每个病人的基因型与其特定的疾病状况联系起来，以正确的剂量为正确的病人开出正确的药物。本章分享了新兴个体化医疗应用的技术、伦理和社会观点。首先，它考察了药物基因组学、系统生物学和个性化医学的历史和研究趋势。接下来，它提出了生物伦理问题，从处理越来越多的生物样本积累在许多生物银行项目今天。最后，本章描述了当大量个人遗传数据和临床数据以电子方式管理并在线访问时，对患者隐私的担忧日益增加。Eric M. Meslin印第安纳大学生物伦理学中心，美国和印第安纳大学，美国DOI: 10.4018/978-1-4666-3604-0.ch071

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Handbook of Research on Computational and Systems Biology

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