Literature DB >> 15449405

Tailored medicine: whom will it fit? The ethics of patient and disease stratification.

Andrew Smart1, Paul Martin, Michael Parker.   

Abstract

A key selling point of pharmacogenetics is the genetic stratification of either patients or diseases in order to target the prescribing of medicine. The hope is that genetically 'tailored' medicines will replace the current 'one-size-fits-all' paradigm of drug development and usage. This paper is concerned with the relationship between difference and justice in the use of pharmacogenetics. This new technology, which facilitates the identification and use of difference, has, we shall argue, the potential to lead to injustice either by the inappropriate use of difference or through the inappropriate failure to use difference. We build on empirical data from a detailed study of the range of options for the development of pharmacogenetics to present a consideration of the ethical issues that surround patient and disease stratification. In it we explore the ways in which the use of pharmacogenetics may lead to the creation of new, genetically stratified, forms of difference and new forms of injustice based on these divisions. We also examine the ways in which existing forms of difference and social stratification may interact with the use of pharmacogenetics. In conclusion, we suggest how an understanding of these ethical issues could usefully inform future policy discussions.

Entities:  

Keywords:  Analytical Approach; Biomedical and Behavioral Research; Genetics and Reproduction

Mesh:

Substances:

Year:  2004        PMID: 15449405     DOI: 10.1111/j.1467-8519.2004.00400.x

Source DB:  PubMed          Journal:  Bioethics        ISSN: 0269-9702            Impact factor:   1.898


  15 in total

Review 1.  Therapeutic drug monitoring and pharmacogenetic tests as tools in pharmacovigilance.

Authors:  Eveline Jaquenoud Sirot; Jan Willem van der Velden; Katharina Rentsch; Chin B Eap; Pierre Baumann
Journal:  Drug Saf       Date:  2006       Impact factor: 5.606

2.  Scanning the human genome and the horizon: the potential and pitfalls of pharmacogenetics and stratified medicine.

Authors:  Barbara A Jennings; Tom Shakespeare; Yoon K Loke
Journal:  Br J Gen Pract       Date:  2015-06       Impact factor: 5.386

Review 3.  Precisely Where Are We Going? Charting the New Terrain of Precision Prevention.

Authors:  Karen M Meagher; Michelle L McGowan; Richard A Settersten; Jennifer R Fishman; Eric T Juengst
Journal:  Annu Rev Genomics Hum Genet       Date:  2017-04-24       Impact factor: 8.929

4.  Personalised medicine: a critique on the future of health care.

Authors:  Jacqueline Savard
Journal:  J Bioeth Inq       Date:  2013-03-21       Impact factor: 1.352

Review 5.  Within and beyond the communal turn to informed consent in industry-sponsored pharmacogenetics research: merits and challenges of community advisory boards.

Authors:  Hojjat Soofi; Evert van Leeuwen
Journal:  J Community Genet       Date:  2016-08-05

6.  Between hype and hope: What is really at stake with personalized medicine?

Authors:  Camille Abettan
Journal:  Med Health Care Philos       Date:  2016-09

Review 7.  Review: Pharmacogenetics of alcoholism treatment: Implications of ethnic diversity.

Authors:  Anita Cservenka; Megan M Yardley; Lara A Ray
Journal:  Am J Addict       Date:  2016-11-04

Review 8.  Attitudes of health care professionals toward pharmacogenetic testing.

Authors:  Nathalie K Zgheib; Thalia Arawi; Rami A Mahfouz; Ramzi Sabra
Journal:  Mol Diagn Ther       Date:  2011-04-01       Impact factor: 4.074

9.  Views on personalized medicine: do the attitudes of African American and white prescription drug consumers differ?

Authors:  M De Marco; S Cykert; N Coad; K Doost; J Schaal; B White; D Young; M R Isler; G Corbie-Smith
Journal:  Public Health Genomics       Date:  2009-09-23       Impact factor: 2.000

Review 10.  Influence of pharmacogenomic profiling prior to pharmaceutical treatment in metastatic colorectal cancer on cost effectiveness : a systematic review.

Authors:  Martin Frank; Thomas Mittendorf
Journal:  Pharmacoeconomics       Date:  2013-03       Impact factor: 4.981

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