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© 2015

Preventive and Predictive Genetics: Towards Personalised Medicine

  • Godfrey Grech
  • Iris Grossman

Benefits

  • Current knowledge on Pharmacogenetics and its central role to Personalised Medicine

  • Part of EPMA Book Series on PPPM aspects

  • Well recognised authors contribute to the book

  • Can be used as textbook for Masters classes

  • Recommendations and future outlook is included

Book

Part of the Advances in Predictive, Preventive and Personalised Medicine book series (APPPM, volume 9)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Godfrey Grech, Iris Grossman
    Pages 1-6
  3. Godfrey Grech, Christian Scerri, Jeanesse Scerri, Tomris Cesuroglu
    Pages 7-41
  4. James P. Bishop, Sonal B. Halburnt, Patrick A. Akkari, Scott Sundseth, Iris Grossman
    Pages 43-67
  5. Aiden Flynn, Craig Ledgerwood, Caroline O’Hare
    Pages 69-89
  6. Richard Myles Turner, Munir Pirmohamed
    Pages 109-156
  7. Aikaterini Gravia, Vasiliki Chondrou, Theodora Katsila, George P. Patrinos
    Pages 157-171
  8. Ramón Cacabelos, Clara Torrellas, Pablo Cacabelos, María J. Villanueva, Sergio Piñeiro, Cristina Solveira
    Pages 173-240
  9. Anthony G. Fenech, Ian Sayers, Michael A. Portelli
    Pages 241-274
  10. Jai N. Patel, Christine M. Walko, Federico Innocenti
    Pages 275-305
  11. Rianne M.F. van Schie, Talitha I. Verhoef, Anthonius de Boer, Felix J.M. van der Meer, William K. Redekop, Tom Schalekamp et al.
    Pages 307-328
  12. Godfrey Grech, Ron van Schaik, Joseph Borg
    Pages 329-347
  13. Bridget Ellul
    Pages 349-375
  14. Back Matter
    Pages 377-378

About this book

Introduction

Traditionally, medical research comprised of the identification of the pathological causes of a disease, its epidemiology and empirical investigation of treatment response. Intensive genetic research, marked by the completion of the human genome project in 2003, heralded a new era in medical research. While epidemiology and gross pathology are still mainstay useful tools, genetics and genomics have gradually been shown to increase the resolution of drug response research, showing great potential in also informing and identifying the role of genes and their encoded products in the pathophysiology of diseases. This information is already being applied in the prevention of illness, effective early diagnosis, better risk assessment (prognosis), as well as targeted effective and safe treatment allocation (prediction and monitoring).

Genetic testing and genomics support personalised medicine by translating genome-based knowledge into clinical practice, offering enhanced benefit for patients and health-care systems at large. Current routine practice for diagnosing and treating patients is conducted by correlating parameters such as age, gender and weight with risks and expected treatment outcomes. In the new era of personalised medicine the healthcare provider is equipped with improved ability to prevent, diagnose, treat and predict outcomes on the basis of complex information sources, including genetic and genomic data. Targeted therapy and reliable prediction of expected outcomes offer patients access to better healthcare management, by way of identifying the therapies effective for the relevant patient group, avoiding prescription of unnecessary treatment and reducing the likelihood of developing adverse drug reactions.

Keywords

Biomarkers Drug development Drug metabolism Personalised Medicine Pharmacogenetics / Pharmacogenomics

Editors and affiliations

  • Godfrey Grech
    • 1
  • Iris Grossman
    • 2
  1. 1.Pathology DepartmentUniversity of MaltaMsidaMalta
  2. 2.IsraGeneYakirIsrael

Bibliographic information

  • Book Title Preventive and Predictive Genetics: Towards Personalised Medicine
  • Editors Godfrey Grech
    Iris Grossman
  • Series Title Advances in Predictive, Preventive and Personalised Medicine
  • Series Abbreviated Title Advances in Predictive, Preventive
  • DOI https://doi.org/10.1007/978-3-319-15344-5
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Medicine Medicine (R0)
  • Hardcover ISBN 978-3-319-15343-8
  • Softcover ISBN 978-3-319-38057-5
  • eBook ISBN 978-3-319-15344-5
  • Series ISSN 2211-3495
  • Series E-ISSN 2211-3509
  • Edition Number 1
  • Number of Pages XX, 378
  • Number of Illustrations 10 b/w illustrations, 8 illustrations in colour
  • Topics Molecular Medicine
    Medical Education
    Systems Biology
    Human Genetics
    Pharmacology/Toxicology
    Drug Resistance
  • Buy this book on publisher's site
Industry Sectors
Biomedicine
Biotechnology
Health & Hospitals
Pharma