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Open Access

Deciphering next-generation pharmacogenomics: an information technology perspective

George Potamias, Kleanthi Lakiotaki, Theodora Katsila, Ming Ta Michael Lee, Stavros Topouzis, David N. Cooper, George P. Patrinos
Published 16 July 2014.DOI: 10.1098/rsob.140071
George Potamias
Institute of Computer Science, Foundation for Research and Technology Hellas, Crete, Greece
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Kleanthi Lakiotaki
Institute of Computer Science, Foundation for Research and Technology Hellas, Crete, Greece
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Theodora Katsila
Department of Pharmacy, School of Health Sciences, University of Patras, University Campus, Rion, Patras, Greece
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Ming Ta Michael Lee
Laboratory for International Alliance on Genomic Medicine, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
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Stavros Topouzis
Department of Pharmacy, School of Health Sciences, University of Patras, University Campus, Rion, Patras, Greece
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David N. Cooper
Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, UK
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George P. Patrinos
Department of Pharmacy, School of Health Sciences, University of Patras, University Campus, Rion, Patras, Greece
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Article Information

DOI 
https://doi.org/10.1098/rsob.140071
PubMed 
25030607
Published By 
The Royal Society
Online ISSN 
2046-2441
History 
  • Received April 14, 2014
  • Accepted June 19, 2014
  • Published online July 16, 2014.
Copyright & Usage 
© 2014 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, provided the original author and source are credited.

Author Information

George Potamias, Kleanthi Lakiotaki, Theodora Katsila, Ming Ta Michael Lee, Stavros Topouzis, David N. Cooper, George P. Patrinos

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July 2014

Open Biology: 4 (7)
  • Table of Contents
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Keywords

whole-genome sequencing
personalized pharmacogenomics profile
informatics solutions
microattribution
drug metabolism
gene variants
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Deciphering next-generation pharmacogenomics: an information technology perspective
George Potamias, Kleanthi Lakiotaki, Theodora Katsila, Ming Ta Michael Lee, Stavros Topouzis, David N. Cooper, George P. Patrinos
Open Biol. 2014 4 140071; DOI: 10.1098/rsob.140071. Published 16 July 2014
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Perspective:

Deciphering next-generation pharmacogenomics: an information technology perspective

George Potamias, Kleanthi Lakiotaki, Theodora Katsila, Ming Ta Michael Lee, Stavros Topouzis, David N. Cooper, George P. Patrinos
Open Biol. 2014 4 140071; DOI: 10.1098/rsob.140071. Published 16 July 2014

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Article reuse

  • Article
    • Abstract
    • 2. Introduction
    • 3. Personalized PGx profiling using whole-genome sequencing
    • 4. Customized whole-pharmacogenome resequencing
    • 5. Towards pharmacogenomic data integration
    • 6. Integrated pharmacogenomic assistant services
    • 7. Personalized pharmacogenomic translation services
    • 8. Encouraging pharmacogenomic data sharing
    • 9. Translating PGx knowledge into clinical decision-making: the next great leap
    • 10. Conclusion and future perspectives
    • Funding statement
    • Acknowledgements
    • Footnotes
    • References
  • Figures & Data
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See related subject areas:

  • genomics
  • biophysics
  • biochemistry

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