Literature DB >> 20703925

Benefits of pharmacogenomics in drug development-earlier launch of drugs and less adverse events.

Wataru Ohashi1, Hiroshi Tanaka.   

Abstract

Currently, pharmaceutical companies are reluctant to introduce pharmacogenomics (PGx) in their practice, since cost-benefit of PGx is obscure and methodology to use PGx in drug development has not been fully established yet. The purpose of this study is to investigate advantages obtained by introducing PGx in clinical trials. Particularly, taking Warfarin as an example, we investigate benefits of Enrichment effect that raises response rate of the drug by PGx. When response rate is raised by only 5%, cost of a clinical trial can be reduced to about 40% of a conventional clinical trial. Furthermore, since period necessary for a trial also can be reduced, development period can be shortened by about 750 days. In summary, PGx enables earlier launch of a drug with less cost, representing benefit to pharmaceutical companies, patients and public as a whole.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 20703925     DOI: 10.1007/s10916-009-9284-7

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  15 in total

1.  Assessing the cost-effectiveness of pharmacogenomics.

Authors:  D L Veenstra; M K Higashi; K A Phillips
Journal:  AAPS PharmSci       Date:  2000

Review 2.  Inheritance and drug response.

Authors:  Richard Weinshilboum
Journal:  N Engl J Med       Date:  2003-02-06       Impact factor: 91.245

3.  Association of VKORC1 and CYP2C9 polymorphisms with warfarin dose requirements in Japanese patients.

Authors:  Taisei Mushiroda; Yozo Ohnishi; Susumu Saito; Atsushi Takahashi; Yuka Kikuchi; Shigeru Saito; Hideki Shimomura; Yasuhiko Wanibuchi; Takao Suzuki; Naoyuki Kamatani; Yusuke Nakamura
Journal:  J Hum Genet       Date:  2006-01-24       Impact factor: 3.172

4.  Drug-related morbidity and mortality: updating the cost-of-illness model.

Authors:  F R Ernst; A J Grizzle
Journal:  J Am Pharm Assoc (Wash)       Date:  2001 Mar-Apr

5.  Pharmacogenomic effect of cytochrome P450 2C9 polymorphisms in different populations.

Authors:  Viroj Wiwanitkit
Journal:  Clin Appl Thromb Hemost       Date:  2006-04       Impact factor: 2.389

Review 6.  Clinical significance of the cytochrome P450 2C19 genetic polymorphism.

Authors:  Zeruesenay Desta; Xiaojiong Zhao; Jae-Gook Shin; David A Flockhart
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

7.  Warfarin, aspirin, or both after myocardial infarction.

Authors:  Mette Hurlen; Michael Abdelnoor; Pål Smith; Jan Erikssen; Harald Arnesen
Journal:  N Engl J Med       Date:  2002-09-26       Impact factor: 91.245

8.  Clinical trials in the new millennium.

Authors:  David L DeMets
Journal:  Stat Med       Date:  2002-10-15       Impact factor: 2.373

9.  Cost-effectiveness analysis of trastuzumab in the adjuvant setting for treatment of HER2-positive breast cancer.

Authors:  Louis P Garrison; Deborah Lubeck; Deepa Lalla; Virginia Paton; Amylou Dueck; Edith A Perez
Journal:  Cancer       Date:  2007-08-01       Impact factor: 6.860

Review 10.  Pharmacogenetics of warfarin: regulatory, scientific, and clinical issues.

Authors:  Brian F Gage; Lawrence J Lesko
Journal:  J Thromb Thrombolysis       Date:  2007-10-01       Impact factor: 2.300

View more
  4 in total

1.  Pharmacogenomic technologies: a necessary "luxury" for better global public health?

Authors:  Catherine Olivier; Bryn Williams-Jones
Journal:  Global Health       Date:  2011-08-24       Impact factor: 4.185

Review 2.  Pharmacogenomics in early-phase clinical development.

Authors:  Tal Burt; Savita Dhillon
Journal:  Pharmacogenomics       Date:  2013-07       Impact factor: 2.533

Review 3.  Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions.

Authors:  Ramón Cacabelos; Vinogran Naidoo; Lola Corzo; Natalia Cacabelos; Juan C Carril
Journal:  Int J Mol Sci       Date:  2021-12-10       Impact factor: 5.923

4.  Bioinformatics challenges for personalized medicine.

Authors:  Guy Haskin Fernald; Emidio Capriotti; Roxana Daneshjou; Konrad J Karczewski; Russ B Altman
Journal:  Bioinformatics       Date:  2011-05-19       Impact factor: 6.937

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.