Literature DB >> 22214937

The impact of pharmacogenomics research on drug development.

Shyh-Yuh Liou1, Fran Stringer, Masashi Hirayama.   

Abstract

Over the last two decades, identification of polymorphisms that influence human diseases has begun to have an impact on the provision of medical care. The promise of genetics lies in its ability to provide insight into an individual's susceptibility to disease, the likely nature of the disease and the most appropriate therapy. For much of its history, pharmacogenomics (PGx) has been limited to relatively simple phenotypes such as plasma drug levels. Progress in genetic technologies has broadened the scope of exploratory PGx and its implementation into safety and efficacy studies, impacting a broad spectrum of drug discovery and development activities. Recent PGx data show the ability of this approach to generate information that can be applied to target selection, dose selection, efficacy determination and safety issues. This in turn will lead to significant opportunities to influence the approaches to drug discovery, clinical development and the probability of success. In particular, adverse drug reactions are critical issues for pharmaceutical companies and for the patients who will benefit from these new medicines. In this review, we outline current progress in PGx, using examples to highlight the influence of polymorphisms, and discuss contemporary challenges for both researchers and clinicians.

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Year:  2012        PMID: 22214937     DOI: 10.2133/dmpk.dmpk-11-rv-093

Source DB:  PubMed          Journal:  Drug Metab Pharmacokinet        ISSN: 1347-4367            Impact factor:   3.614


  8 in total

1.  Pharmacogenetic testing: Current Evidence of Clinical Utility.

Authors:  Jivan Moaddeb; Susanne B Haga
Journal:  Ther Adv Drug Saf       Date:  2013-08-01

Review 2.  Pharmacogenomics in early-phase clinical development.

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

Review 3.  Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review.

Authors:  Mubashir Hassan; Faryal Mehwish Awan; Anam Naz; Enrique J deAndrés-Galiana; Oscar Alvarez; Ana Cernea; Lucas Fernández-Brillet; Juan Luis Fernández-Martínez; Andrzej Kloczkowski
Journal:  Int J Mol Sci       Date:  2022-04-22       Impact factor: 6.208

Review 4.  Improving the translation of animal ischemic stroke studies to humans.

Authors:  Glen C Jickling; Frank R Sharp
Journal:  Metab Brain Dis       Date:  2014-02-15       Impact factor: 3.584

5.  Plurigon: three dimensional visualization and classification of high-dimensionality data.

Authors:  Bronwen Martin; Hongyu Chen; Caitlin M Daimon; Wayne Chadwick; Sana Siddiqui; Stuart Maudsley
Journal:  Front Physiol       Date:  2013-07-22       Impact factor: 4.566

6.  Pharmacogenomic knowledge representation, reasoning and genome-based clinical decision support based on OWL 2 DL ontologies.

Authors:  Matthias Samwald; Jose Antonio Miñarro Giménez; Richard D Boyce; Robert R Freimuth; Klaus-Peter Adlassnig; Michel Dumontier
Journal:  BMC Med Inform Decis Mak       Date:  2015-02-22       Impact factor: 2.796

Review 7.  Plant Antimicrobial Peptides as Potential Tool for Topic Treatment of Hidradenitis Suppurativa.

Authors:  Carlos André Dos Santos-Silva; Paola Maura Tricarico; Lívia Maria Batista Vilela; Ricardo Salas Roldan-Filho; Vinícius Costa Amador; Adamo Pio d'Adamo; Mireli de Santana Rêgo; Ana Maria Benko-Iseppon; Sergio Crovella
Journal:  Front Microbiol       Date:  2021-12-13       Impact factor: 5.640

8.  Utility of Integrated Analysis of Pharmacogenomics and Pharmacometabolomics in Early Phase Clinical Trial: A Case Study of a New Molecular Entity.

Authors:  Jaeseong Oh; Sojeong Yi; Namyi Gu; Dongseong Shin; Kyung-Sang Yu; Seo Hyun Yoon; Joo-Youn Cho; In-Jin Jang
Journal:  Genomics Inform       Date:  2018-09-30
  8 in total

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