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

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

Research output: Chapter in Book/Report/Conference proceedingChapter

12 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 publicationBioinformatics
Subtitle of host publicationConcepts, Methodologies, Tools, and Applications
PublisherIGI Global
Pages1378-1404
Number of pages27
Volume3
ISBN (Electronic)9781466636057
ISBN (Print)1466636041, 9781466636040
DOIs
StatePublished - Mar 31 2013

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Medicine

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