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A unified mapping framework of multifaceted pharmacodynamic responses to hypertension interventions.
Wang, Qian; Gan, Jingwen; Wei, Kun; Berceli, Scott A; Gragnoli, Claudia; Wu, Rongling.
Afiliação
  • Wang Q; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
  • Gan J; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
  • Wei K; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
  • Berceli SA; Malcom Randall VA Medical Center, Gainesville, FL 32610, USA; Department of Surgery, University of Florida, Box 100128, Gainesville, FL 32610, USA; Department of Biomedical Engineering, University of Florida, Gainesville, FL 32610, USA.
  • Gragnoli C; Division of Endocrinology, Diabetes, and Metabolic Disease, Translational Medicine, Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA; Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA 17033, USA; Molecular
  • Wu R; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China; Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA 17033, USA; Center for Statistical Genetics, Departments of Public Health Sciences an
Drug Discov Today ; 24(3): 883-889, 2019 03.
Article em En | MEDLINE | ID: mdl-30690194
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hipertensão Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hipertensão Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article