Literature DB >> 17854232

Clinical translation of genotyping and haplotyping data: implementation of in vivo pharmacology experience leading drug prescription to pharmacotyping.

Ioannis S Vizirianakis1.   

Abstract

The completion of the Human Genome Project has raised expectations for the translation of genomic knowledge into clinical forms that would lead to improved diagnosis of diseases and identification of new drug targets. Such an opportunity is quite challenging within science and society, although there is still uncertainty regarding its outcomes in new drug development and healthcare. Undoubtedly, however, the recent approval by the US FDA of the first two pharmacogenomic tests for genotyping drug-metabolising enzymes is expected to empower and eventually lead to general applicability of various genetic diagnostic tools to improve pharmacotherapy outcomes in the post-genomic era. To this end, the application of genomic knowledge and technologies in everyday clinical practice leads personalised medicine concepts towards the achievement of individualised drug selection and dosage profiling (i.e. pharmacotyping) for ensuring maximum drug effectiveness and safety. Within this framework, pharmacogenomic information can implement the existing clinical pharmacology experience in clinical diagnosis and drug delivery. The latter can be further advanced through the development of workflow information-based operating systems in healthcare to support the utilisation, assessment and outcome of engaged clinical and genomic information. Such a direction may help to suitably revise and adjust clinical regulatory guidelines as well as clinical pharmacology guidelines. This will further facilitate better designing of clinical trials for new drug development as well as pharmacovigilance registries and evaluation of these data. To critically describe the existing environment, this article comprehensively discusses scientific efforts aimed at making clinical translation of genotyping and haplotyping data more efficient and productive in forms that are readily applicable in everyday healthcare. In addition, specific and systematic pharmacogenomic and clinical attempts related to the development of new molecularly targeted drugs, as well as improvement of the efficacy and safety of commonly prescribed drugs, are presented. To this end, the clinical pharmacogenomic experience gained thus far in the use of tyrosine kinase inhibitors in oncology, as well as the process of empowerment through the use of genomic knowledge of the cardiac safety of drugs modulating the function of the human ether-à-go-go-related gene (HERG) potassium channel, represent examples of how the implementation of clinical experience with genomic information guides the development of new drugs and the improvement of pharmacotherapy outcomes.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17854232     DOI: 10.2165/00003088-200746100-00001

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  83 in total

Review 1.  Mitochondria and apoptosis: new therapeutic targets.

Authors:  David M Hockenbery; Christopher D Giedt; Jason W O'Neill; Michael K Manion; Deborah E Banker
Journal:  Adv Cancer Res       Date:  2002       Impact factor: 6.242

Review 2.  Ethical perspectives on pharmacogenomic profiling in the drug development process.

Authors:  Amalia M Issa
Journal:  Nat Rev Drug Discov       Date:  2002-04       Impact factor: 84.694

3.  Pharmacogenetics and ethnicity: more complexities of personalized prescribing.

Authors:  Ian P Hall
Journal:  Am J Respir Crit Care Med       Date:  2005-03-15       Impact factor: 21.405

Review 4.  Ontologies and semantic data integration.

Authors:  Stephen P Gardner
Journal:  Drug Discov Today       Date:  2005-07-15       Impact factor: 7.851

Review 5.  Epigenetic therapy of cancer: past, present and future.

Authors:  Christine B Yoo; Peter A Jones
Journal:  Nat Rev Drug Discov       Date:  2006-01       Impact factor: 84.694

6.  Challenges facing pharmacology--the in vivo situation.

Authors:  Michael J A Walker; Michelle L M Soh
Journal:  Trends Pharmacol Sci       Date:  2006-02-15       Impact factor: 14.819

7.  Using genotyping to predict responses to anti-hypertensive treatment.

Authors:  Lisa Kurland; Lars Lind; Håkan Melhus
Journal:  Trends Pharmacol Sci       Date:  2005-09       Impact factor: 14.819

Review 8.  Will tomorrow's medicines work for everyone?

Authors:  Sarah K Tate; David B Goldstein
Journal:  Nat Genet       Date:  2004-11       Impact factor: 38.330

Review 9.  Tyrosine kinases as targets in cancer therapy - successes and failures.

Authors:  Peter Traxler
Journal:  Expert Opin Ther Targets       Date:  2003-04       Impact factor: 6.902

Review 10.  Genetics and arrhythmias.

Authors:  Robert Roberts; Ramon Brugada
Journal:  Annu Rev Med       Date:  2002-08-19       Impact factor: 13.739

View more
  2 in total

Review 1.  Nursing Personnel in the Era of Personalized Healthcare in Clinical Practice.

Authors:  Marios Spanakis; Athina E Patelarou; Evridiki Patelarou
Journal:  J Pers Med       Date:  2020-06-29

2.  The Coriell personalized medicine collaborative pharmacogenomics appraisal, evidence scoring and interpretation system.

Authors:  Neda Gharani; Margaret A Keller; Catharine B Stack; Laura M Hodges; Tara J Schmidlen; Daniel E Lynch; Erynn S Gordon; Michael F Christman
Journal:  Genome Med       Date:  2013-10-18       Impact factor: 11.117

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.