Ethics and privacy considerations for systems biology applications in predictive and personalized medicine

Jake Y. Chen, Heng Xu, Pan Shi, Adam Culbertson, Eric M. Meslin

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationHandbook of Research on Computational and Systems Biology
Subtitle of host publicationInterdisciplinary Applications
PublisherIGI Global
Pages1-27
Number of pages27
ISBN (Print)9781609604912
DOIs
StatePublished - Dec 1 2011

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)

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    Chen, J. Y., Xu, H., Shi, P., Culbertson, A., & Meslin, E. M. (2011). Ethics and privacy considerations for systems biology applications in predictive and personalized medicine. In Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications (pp. 1-27). IGI Global. https://doi.org/10.4018/978-1-60960-491-2.ch001