Literature DB >> 30690194

A unified mapping framework of multifaceted pharmacodynamic responses to hypertension interventions.

Qian Wang1, Jingwen Gan1, Kun Wei1, Scott A Berceli2, Claudia Gragnoli3, Rongling Wu4.   

Abstract

The personalized therapy for hypertension needs comprehensive knowledge about how blood pressures (BPs; systolic and diastolic) and their pulsatile and steady components are controlled by genetic factors. Here, we propose a unified pharmacodynamic (PD) functional mapping framework for identifying specific quantitative trait loci (QTLs) that mediate multivariate response-dose curves of BP. This framework can characterize how QTLs govern pulsatile and steady components through jointly regulating systolic and diastolic pressures. The model can quantify the genetic effects of individual QTLs on maximal drug effect, the maximal rate of drug response, and the dose window of maximal drug response. This unified mapping framework provides a tool for identifying pharmacological genes potentially useful to design the right medication and right dose for patients.
Copyright © 2019. Published by Elsevier Ltd.

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Year:  2019        PMID: 30690194      PMCID: PMC6492935          DOI: 10.1016/j.drudis.2019.01.009

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  36 in total

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Journal:  Hypertension       Date:  2000-11       Impact factor: 10.190

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9.  A bivariate functional mapping model for identifying haplotypes that control drug response for systolic and diastolic blood pressures.

Authors:  Min Lin; Rongling Wu; Julie Johnson
Journal:  Pac Symp Biocomput       Date:  2006

10.  Nonparametric modeling of longitudinal covariance structure in functional mapping of quantitative trait loci.

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Journal:  Biometrics       Date:  2009-12       Impact factor: 2.571

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