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Pharmacogenomics in Drug Discovery and Development

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Cover of 'Pharmacogenomics in Drug Discovery and Development'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 From Pharmacogenomics and Systems Biology to Personalized Care: A Framework of Systems and Dynamical Medicine
  3. Altmetric Badge
    Chapter 2 Translational Bioinformatics Approaches for Systems and Dynamical Medicine
  4. Altmetric Badge
    Chapter 3 Whole Blood Transcriptomic Analysis to Identify Clinical Biomarkers of Drug Response
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    Chapter 4 Diagnostic Procedures for Paraffin-Embedded Tissues Analysis in Pharmacogenomic Studies
  6. Altmetric Badge
    Chapter 5 Approach to Clinical and Genetic Characterization of Statin-Induced Myopathy
  7. Altmetric Badge
    Chapter 6 Pharmacogenetics of membrane transporters: a review of current approaches.
  8. Altmetric Badge
    Chapter 7 G protein-coupled receptor accessory proteins and signaling: pharmacogenomic insights.
  9. Altmetric Badge
    Chapter 8 G protein-coupled receptor mutations and human genetic disease.
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    Chapter 9 Pharmacogenetics of the g protein-coupled receptors.
  11. Altmetric Badge
    Chapter 10 Pharmacogenomics of Heart Failure
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    Chapter 11 Pharmacogenomics in the Development and Characterization of Atheroprotective Drugs
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    Chapter 12 Management of Side Effects in the Personalized Medicine Era: Chemotherapy-Induced Peripheral Neuropathy
  14. Altmetric Badge
    Chapter 13 Pharmacogenomics of Alzheimer's disease: novel therapeutic strategies for drug development.
  15. Altmetric Badge
    Chapter 14 Pharmacogenetics of antipsychotic treatment in schizophrenia.
  16. Altmetric Badge
    Chapter 15 Pharmacogenetics of addiction therapy.
  17. Altmetric Badge
    Chapter 16 Pharmacogenetics in Rheumatoid Arthritis
  18. Altmetric Badge
    Chapter 17 Pharmacogenomics of Osteoporotic Fractures
  19. Altmetric Badge
    Chapter 18 Pharmacogenomics and Pharmacoepigenomics in Pediatric Medicine
  20. Altmetric Badge
    Chapter 19 Pharmacogenomics in Children
Attention for Chapter 18: Pharmacogenomics and Pharmacoepigenomics in Pediatric Medicine
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Chapter title
Pharmacogenomics and Pharmacoepigenomics in Pediatric Medicine
Chapter number 18
Book title
Pharmacogenomics in Drug Discovery and Development
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-0956-8_18
Pubmed ID
Book ISBNs
978-1-4939-0955-1, 978-1-4939-0956-8
Authors

Barkur S Shastry, Barkur S. Shastry, Shastry, Barkur S.

Abstract

In the past several years, human genetics studies have progressed from monogenic to complex and common diseases because of the advancement in technologies. There is increased knowledge of the pharmacokinetics and pharmacogenomics of the drugs in adults as well as in children. These technological developments provided new diagnostic, prognostic, and therapeutic opportunities. We are now in a position to address many additional ambitious questions. For instance, in clinical medicine, interindividual variation in drug response is a major problem. Some of the heterogeneity of drug safety and efficacy among individuals can be explained by pharmacogenomics. It has also the potential to improve the treatment in both adults and children. In pediatrics however, there is ontogeny and metabolic capacity in children is different compared to adults. Several specific developmental changes may underlie some of the variability in drug response seen in children. They may also be responsible for adverse drug reactions (ADRs). Therefore, much of the diversity in drug effects cannot be explained by studying the genomic diversity alone. It is necessary to include the effect of growth (involves variations in gene expression) along with genetic differences when explaining the variability in treatment response. In this respect epigenomics may expand the scope of pharmacogenomics towards optimization of drug therapy. Future studies must focus on periods of maturation of the drug-metabolizing enzymes and polymorphisms in their genes by using candidate gene approach, gene expression analysis, genome-wide haplotype mapping, and proteomics. The integration of genetic data and clinical phenotypes along with the role of other factors is necessary to evaluate both efficacy and ADRs of any drug. It may require extensive genetic epidemiological studies spanning over many years.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 25%
Researcher 5 16%
Student > Ph. D. Student 3 9%
Other 2 6%
Student > Bachelor 1 3%
Other 3 9%
Unknown 10 31%
Readers by discipline Count As %
Medicine and Dentistry 7 22%
Biochemistry, Genetics and Molecular Biology 6 19%
Pharmacology, Toxicology and Pharmaceutical Science 5 16%
Computer Science 2 6%
Nursing and Health Professions 1 3%
Other 2 6%
Unknown 9 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 August 2014.
All research outputs
#20,235,415
of 22,761,738 outputs
Outputs from Methods in molecular biology
#9,864
of 13,088 outputs
Outputs of similar age
#264,835
of 305,286 outputs
Outputs of similar age from Methods in molecular biology
#404
of 596 outputs
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