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Integrating dynamic mixed-effect modelling and penalized regression to explore genetic association with pharmacokinetics

Bertrand, J; De Iorio, M; Balding, DJ; (2015) Integrating dynamic mixed-effect modelling and penalized regression to explore genetic association with pharmacokinetics. Pharmacogenet Genomics , 25 (5) pp. 231-238. 10.1097/FPC.0000000000000127. Green open access

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Abstract

In a previous work, we have shown that penalized regression approaches can allow many genetic variants to be incorporated into sophisticated pharmacokinetic (PK) models in a way that is both computationally and statistically efficient. The phenotypes were the individual model parameter estimates, obtained a posteriori of the model fit and known to be sensitive to the study design.

Type: Article
Title: Integrating dynamic mixed-effect modelling and penalized regression to explore genetic association with pharmacokinetics
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1097/FPC.0000000000000127
Publisher version: http://dx.doi.org/10.1097/FPC.0000000000000127
Language: English
Additional information: Copyright © 2015 Wolters Kluwer Health, Inc. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: high throughput analysis, nonlinear mixed-effect models, penalized regression, pharmacogenetics
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/1471498
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