PGx medication risk prediction model

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This algorithm predicts those who are going to be exposed to warfarin, simvastatin, or clopidogrel as three medications that have known pharmacogenomic influences.  This algorithm was used to select individuals for the Vanderbilt PREDICT (Pharmacogenomic Resource for Enhanced Decisions in Care & Treatment) program, which prospectively tests individuals at risk of needing medications whose efficacy is effected by genetic variants.  

 

For more information on PREDICT, see http://mydruggenome.org.

Phenotype ID: 
66
Status: 
Final
Do Not List on the Collaboration Phenotypes List
Type of Phenotype: 
Drug Response - adverse effect or efficacy
Other Trait
Phenotype Attributes: 
CPT Codes
ICD 9 Codes
Authors: 
Jonathan Schildcrout and Josh Denny
Contact Author: 
Josh Denny
Files: 
Overview of prognostic survival model and variables
PDF describing the prognositic model and results
Institution: 
Vanderbilt University
Date Created: 
Thursday, March 1, 2012
Age: 
Adult
Geriatric
Race: 
Black (African American, West African, Ethiopian, etc.)
Caucasian (European)
Caucasian (North African, Middle East, Other)
Gender: 
Female
Male
Network Associations: 
eMERGE
Owner Phenotyping Groups: 
eMERGE Vanderbilt Group
View Phenotyping Groups: 
Denny’s Group at Vandy
eMERGE Phenotype WG
 
 

Suggested Citation

Jonathan Schildcrout and Josh Denny. Vanderbilt University. PGx medication risk prediction model. PheKB; 2012 Available from: https://phekb.org/phenotype/66

PubMed References

26628336