TY - JOUR
T1 - Prediction of atorvastatin plasmatic concentrations in healthy volunteers using integrated pharmacogenetics sequencing
AU - Cruz-Correa, Omar Fernando
AU - León-Cachón, Rafael Baltazar Reyes
AU - Barrera-Saldaña, Hugo Alberto
AU - Soberón, Xavier
N1 - Publisher Copyright:
© 2017 Future Medicine Ltd.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Aim: To use variants found by next-generation sequencing to predict atorvastatin plasmatic concentration profiles (AUC) in healthy volunteers. Subjects & methods: A total of 60 healthy Mexican volunteers were enrolled in this study. We used variants with a predicted functional effect across 20 genes involved in atorvastatin metabolism to construct a regression model using a support vector approach with a radial basis function kernel to predict AUC refining it afterwards in order to explain a greater extent of the variance. Results: The final support vector regression model using 60 variants (including six novel variants) explained 94.52% of the variance in atorvastatin AUC. Conclusion: An integrated analysis of several genes known to intervene in the different steps of metabolism is required to predict atorvastatin's AUC.
AB - Aim: To use variants found by next-generation sequencing to predict atorvastatin plasmatic concentration profiles (AUC) in healthy volunteers. Subjects & methods: A total of 60 healthy Mexican volunteers were enrolled in this study. We used variants with a predicted functional effect across 20 genes involved in atorvastatin metabolism to construct a regression model using a support vector approach with a radial basis function kernel to predict AUC refining it afterwards in order to explain a greater extent of the variance. Results: The final support vector regression model using 60 variants (including six novel variants) explained 94.52% of the variance in atorvastatin AUC. Conclusion: An integrated analysis of several genes known to intervene in the different steps of metabolism is required to predict atorvastatin's AUC.
UR - http://www.scopus.com/inward/record.url?scp=85007292387&partnerID=8YFLogxK
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UR - https://www.mendeley.com/catalogue/4eece858-2fd5-3724-8e2c-e8480fad0850/
U2 - 10.2217/pgs-2016-0072
DO - 10.2217/pgs-2016-0072
M3 - Article
SN - 1462-2416
VL - 18
SP - 121
EP - 131
JO - Pharmacogenomics
JF - Pharmacogenomics
IS - 2
ER -