A unified mapping framework of multifaceted pharmacodynamic responses to hypertension interventions

Qian Wang, Jingwen Gan, Kun Wei, Scott A. Berceli, Claudia Gragnoli, Rongling Wu

Research output: Contribution to journalReview article

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.

Original languageEnglish (US)
Pages (from-to)883-889
Number of pages7
JournalDrug Discovery Today
Volume24
Issue number3
DOIs
StatePublished - Mar 1 2019

Fingerprint

Quantitative Trait Loci
Blood Pressure
Hypertension
Pharmaceutical Preparations
Patient Rights
Pharmacology
Genes
Therapeutics

All Science Journal Classification (ASJC) codes

  • Pharmacology
  • Drug Discovery

Cite this

Wang, Qian ; Gan, Jingwen ; Wei, Kun ; Berceli, Scott A. ; Gragnoli, Claudia ; Wu, Rongling. / A unified mapping framework of multifaceted pharmacodynamic responses to hypertension interventions. In: Drug Discovery Today. 2019 ; Vol. 24, No. 3. pp. 883-889.
@article{c78bb777aa5143ccbf2b392fc9d533cd,
title = "A unified mapping framework of multifaceted pharmacodynamic responses to hypertension interventions",
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.",
author = "Qian Wang and Jingwen Gan and Kun Wei and Berceli, {Scott A.} and Claudia Gragnoli and Rongling Wu",
year = "2019",
month = "3",
day = "1",
doi = "10.1016/j.drudis.2019.01.009",
language = "English (US)",
volume = "24",
pages = "883--889",
journal = "Drug Discovery Today",
issn = "1359-6446",
publisher = "Elsevier Limited",
number = "3",

}

A unified mapping framework of multifaceted pharmacodynamic responses to hypertension interventions. / Wang, Qian; Gan, Jingwen; Wei, Kun; Berceli, Scott A.; Gragnoli, Claudia; Wu, Rongling.

In: Drug Discovery Today, Vol. 24, No. 3, 01.03.2019, p. 883-889.

Research output: Contribution to journalReview article

TY - JOUR

T1 - A unified mapping framework of multifaceted pharmacodynamic responses to hypertension interventions

AU - Wang, Qian

AU - Gan, Jingwen

AU - Wei, Kun

AU - Berceli, Scott A.

AU - Gragnoli, Claudia

AU - Wu, Rongling

PY - 2019/3/1

Y1 - 2019/3/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85060881952&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85060881952&partnerID=8YFLogxK

U2 - 10.1016/j.drudis.2019.01.009

DO - 10.1016/j.drudis.2019.01.009

M3 - Review article

VL - 24

SP - 883

EP - 889

JO - Drug Discovery Today

JF - Drug Discovery Today

SN - 1359-6446

IS - 3

ER -