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Literature DB >> 19300459

The microeconomics of personalized medicine: today's challenge and tomorrow's promise.

Jerel C Davis¹, Laura Furstenthal, Amar A Desai, Troy Norris, Saumya Sutaria, Edd Fleming, Philip Ma.

Abstract

'Personalized medicine' promises to increase the quality of clinical care and, in some cases, decrease health-care costs. Despite this, only a handful of diagnostic tests have made it to market, with mixed success. Historically, the challenges in this field were scientific. However, as discussed in this article, with the maturation of the '-omics' sciences, it now seems that the major barriers are increasingly related to economics. Overcoming the poor microeconomic alignment of incentives among key stakeholders is therefore crucial to catalysing the further development and adoption of personalized medicine, and we propose several actions that could help achieve this goal.

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Year: 2009 PMID： 19300459 DOI： 10.1038/nrd2825

Source DB: PubMed Journal: Nat Rev Drug Discov ISSN： 1474-1776 Impact factor: 84.694

4 in total

1. Association of the Trp719Arg polymorphism in kinesin-like protein 6 with myocardial infarction and coronary heart disease in 2 prospective trials: the CARE and WOSCOPS trials.

Authors: Olga A Iakoubova; Carmen H Tong; Charles M Rowland; Todd G Kirchgessner; Bradford A Young; Andre R Arellano; Dov Shiffman; Marc S Sabatine; Hannia Campos; Christopher J Packard; Marc A Pfeffer; Thomas J White; Eugene Braunwald; James Shepherd; James J Devlin; Frank M Sacks
Journal: J Am Coll Cardiol Date: 2008-01-29 Impact factor: 24.094

2. Increasing incidence of thyroid cancer in the United States, 1973-2002.

Authors: Louise Davies; H Gilbert Welch
Journal: JAMA Date: 2006-05-10 Impact factor: 56.272

3. A kinesin family member 6 variant is associated with coronary heart disease in the Women's Health Study.

Authors: Dov Shiffman; Daniel I Chasman; Robert Y L Zee; Olga A Iakoubova; Judy Z Louie; James J Devlin; Paul M Ridker
Journal: J Am Coll Cardiol Date: 2008-01-29 Impact factor: 24.094

4. Polymorphism in KIF6 gene and benefit from statins after acute coronary syndromes: results from the PROVE IT-TIMI 22 study.

Authors: Olga A Iakoubova; Marc S Sabatine; Charles M Rowland; Carmen H Tong; Joseph J Catanese; Koustubh Ranade; Katy L Simonsen; Todd G Kirchgessner; Christopher P Cannon; James J Devlin; Eugene Braunwald
Journal: J Am Coll Cardiol Date: 2008-01-29 Impact factor: 24.094

4 in total

42 in total

Review 1. Quantifying factors for the success of stratified medicine.

Authors: Mark R Trusheim; Breon Burgess; Sean Xinghua Hu; Theresa Long; Steven D Averbuch; Aiden A Flynn; Alfons Lieftucht; Abhijit Mazumder; Judy Milloy; Peter M Shaw; David Swank; Jian Wang; Ernst R Berndt; Federico Goodsaid; Michael C Palmer
Journal: Nat Rev Drug Discov Date: 2011-10-31 Impact factor: 84.694

2. Personalized medicine in oncology: next generation.

Authors: Alex Chiang; Ryan P Million
Journal: Nat Rev Drug Discov Date: 2011-12-01 Impact factor: 84.694

3. Perspectives on personalized cancer care.

Authors: Garrett M Dancika; Dan Theodorescu
Journal: Urol Oncol Date: 2012 Mar-Apr Impact factor: 3.498

4. Determining conserved metabolic biomarkers from a million database queries.

Authors: Michael E Kurczy; Julijana Ivanisevic; Caroline H Johnson; Winnie Uritboonthai; Linh Hoang; Mingliang Fang; Matthew Hicks; Anthony Aldebot; Duane Rinehart; Lisa J Mellander; Ralf Tautenhahn; Gary J Patti; Mary E Spilker; H Paul Benton; Gary Siuzdak
Journal: Bioinformatics Date: 2015-08-13 Impact factor: 6.937

The microeconomics of personalized medicine: today's challenge and tomorrow's promise.

1. Association of the Trp719Arg polymorphism in kinesin-like protein 6 with myocardial infarction and coronary heart disease in 2 prospective trials: the CARE and WOSCOPS trials.

2. Increasing incidence of thyroid cancer in the United States, 1973-2002.

3. A kinesin family member 6 variant is associated with coronary heart disease in the Women's Health Study.

4. Polymorphism in KIF6 gene and benefit from statins after acute coronary syndromes: results from the PROVE IT-TIMI 22 study.

Review 1. Quantifying factors for the success of stratified medicine.

2. Personalized medicine in oncology: next generation.

3. Perspectives on personalized cancer care.

4. Determining conserved metabolic biomarkers from a million database queries.

5. Integrating molecular, histopathological, neuroimaging and clinical neuroscience data with NeuroPM-box.

6. A knowledge-driven conditional approach to extract pharmacogenomics specific drug-gene relationships from free text.

7. Bring on the biomarkers.

8. Improving the prediction of pharmacogenes using text-derived drug-gene relationships.

9. An iterative searching and ranking algorithm for prioritising pharmacogenomics genes.

Review 10. Relating human genetic variation to variation in drug responses.