The Value of Pharmacogenomic Information

John A. Graves (), Shawn Garbett (), Zilu Zhou () and Josh Peterson ()

Working Papers from eSocialSciences

Abstract: This paper studies of couple evidence from a real-world implementation of pharmacogenomic testing with a discrete event simulation model. It uses the framework to evaluate the cost-effectiveness of various genetic testing strategies. The paper finds that the cost-effectiveness of multiplexed genetic testing (e.g., whole genome sequencing) hinges on the ability of a health system to ensure that dense genotypic information is routinely utilized by physicians. Moreover, while much attention has been paid to lowering the cost of genetic tests, we demonstrate that in practice, other scientific and behavioral factors, focused on certain highyield drug-gene pairs, are key to implementing precision medicine in ways that maximize its value.

Keywords: Pharmacogenomic Information; simulation model; cost-effectiveness; genetic testing strategies; multiplexed genetic testing; physicians; genotypic information; cost of genetic tests; highyield drug-gene pairs; medicine. (search for similar items in EconPapers)
Date: 2017-12
Note: Institutional Papers
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