Literature DB >> 24444406

Human pharmacogenomic variation of antihypertensive drugs: from population genetics to personalized medicine.

Renato Polimanti1, Andrea Iorio, Sara Piacentini, Dario Manfellotto, Maria Fuciarelli.   

Abstract

AIM: To investigate the human pharmacogenetic variation related to antihypertensive drugs, providing a survey of functional interpopulation differences in hypertension pharmacogenes. MATERIALS &
METHODS: The study was divided into two stages. In the first stage, we analyzed 1249 variants located in 57 hypertension pharmacogenes. This first-stage analysis confirmed that geographic origin strongly affects hypertension pharmacogenomic variation and that 31 pharmacogenes are geographically differentiated. In the second stage, we focused our attention on the ethnic-differentiated pharmacogenes, investigating 55,521 genetic variants. In silico analyses were performed to predict the effect of genetic variation.
RESULTS: Our analyses indicated functional interpopulation differences, suggesting insight into the mechanisms of antihypertensive drug response. Moreover, our data suggested that rare variants mainly determine the functionality of genes related to antihypertensive drugs.
CONCLUSION: Our study provided important knowledge about the genetics of the antihypertensive drug response, suggesting that next-generation sequencing technologies may develop reliable pharmacogenetic tests for antihypertensive drugs.

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Year:  2014        PMID: 24444406     DOI: 10.2217/pgs.13.231

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  2 in total

1.  Genetic diversity of disease-associated loci in Turkish population.

Authors:  Sefayet Karaca; Tomris Cesuroglu; Mehmet Karaca; Sema Erge; Renato Polimanti
Journal:  J Hum Genet       Date:  2015-02-26       Impact factor: 3.172

2.  Dissecting ancestry genomic background in substance dependence genome-wide association studies.

Authors:  Renato Polimanti; Can Yang; Hongyu Zhao; Joel Gelernter
Journal:  Pharmacogenomics       Date:  2015-08-12       Impact factor: 2.533

  2 in total

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