Literature DB >> 19509486

Has pharmacogenetics brought us closer to 'personalized medicine' for initial drug treatment of hypertension?

Donna K Arnett1, Steven A Claas, Amy I Lynch.   

Abstract

PURPOSE OF REVIEW: To describe recent advances in antihypertensive pharmacogenetics and discuss challenges related to translating this knowledge into 'personalized medicine' for the initial drug treatment of hypertension. RECENT
FINDINGS: Recent studies included both prospective and retrospective analyses ranging from small clinical investigations of 42 participants to large, multicenter, randomized, outcome-based clinical trials of nearly 40 000 individuals. Treatment with drugs from five classes of antihypertensives was evaluated in these studies. The duration of treatment ranged from week-long follow up for blood pressure response to a decade-long follow up for clinical outcomes. In total, associations with 12 different candidate genes were assessed. These studies present the now familiar mixture of significant and nonsignificant pharmacogenetic findings that are sometimes consistent with, sometimes inconsistent with, previous findings in antihypertensive pharmacogenetics.
SUMMARY: Recent research in antihypertensive pharmacogenetics has added to the existing evidence base, and novel genes and variants as well as new methodologies are cause for continued optimism. However, translation of genomic science to clinical settings has not kept pace with growing interest in personalized medicine for hypertension. New research paradigms may be needed to translate pharmacogenetics into clinical tools. Clinical application will also require a trained clinical workforce, validated genetic tests, and payers willing to fund pretreatment testing.

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Year:  2009        PMID: 19509486      PMCID: PMC3926658          DOI: 10.1097/HCO.0b013e32832c58ba

Source DB:  PubMed          Journal:  Curr Opin Cardiol        ISSN: 0268-4705            Impact factor:   2.161


  32 in total

1.  Angiotensin II type 1 receptor gene polymorphism predicts response to losartan and angiotensin II.

Authors:  J A Miller; K Thai; J W Scholey
Journal:  Kidney Int       Date:  1999-12       Impact factor: 10.612

2.  Renin-angiotensin system gene polymorphisms influence blood pressure and the response to angiotensin converting enzyme inhibition.

Authors:  A D Hingorani; H Jia; P A Stevens; R Hopper; J E Dickerson; M J Brown
Journal:  J Hypertens       Date:  1995-12       Impact factor: 4.844

3.  The role of alpha-adducin polymorphism in blood pressure and sodium handling regulation may not be excluded by a negative association study.

Authors:  N Glorioso; P Manunta; F Filigheddu; C Troffa; P Stella; C Barlassina; C Lombardi; A Soro; F Dettori; P P Parpaglia; M T Alibrandi; D Cusi; G Bianchi
Journal:  Hypertension       Date:  1999-10       Impact factor: 10.190

4.  The effect of common polymorphisms of the beta2-adrenergic receptor on agonist-mediated vascular desensitization.

Authors:  V Dishy; G G Sofowora; H G Xie; R B Kim; D W Byrne; C M Stein; A J Wood
Journal:  N Engl J Med       Date:  2001-10-04       Impact factor: 91.245

5.  Quantifying and correcting for the winner's curse in genetic association studies.

Authors:  Rui Xiao; Michael Boehnke
Journal:  Genet Epidemiol       Date:  2009-07       Impact factor: 2.135

6.  Beta 1-adrenergic receptor polymorphisms and antihypertensive response to metoprolol.

Authors:  Julie A Johnson; Issam Zineh; Brian J Puckett; Susan P McGorray; Hossein N Yarandi; Daniel F Pauly
Journal:  Clin Pharmacol Ther       Date:  2003-07       Impact factor: 6.875

Review 7.  Worldwide prevalence of hypertension: a systematic review.

Authors:  Patricia M Kearney; Megan Whelton; Kristi Reynolds; Paul K Whelton; Jiang He
Journal:  J Hypertens       Date:  2004-01       Impact factor: 4.844

8.  Beta1-adrenergic receptor gene polymorphisms and response to beta1-adrenergic receptor blockade in patients with essential hypertension.

Authors:  J Karlsson; L Lind; P Hallberg; K Michaëlsson; L Kurland; T Kahan; K Malmqvist; K P Ohman; F Nyström; H Melhus
Journal:  Clin Cardiol       Date:  2004-06       Impact factor: 2.882

9.  Gly389Arg polymorphism of beta1-adrenergic receptor is associated with the cardiovascular response to metoprolol.

Authors:  Jie Liu; Zhao-Qian Liu; Zhi-Rong Tan; Xiao-Ping Chen; Lian-Sheng Wang; Gan Zhou; Hong-Hao Zhou
Journal:  Clin Pharmacol Ther       Date:  2003-10       Impact factor: 6.875

10.  A transcriptional profile of aging in the human kidney.

Authors:  Graham E J Rodwell; Rebecca Sonu; Jacob M Zahn; James Lund; Julie Wilhelmy; Lingli Wang; Wenzhong Xiao; Michael Mindrinos; Emily Crane; Eran Segal; Bryan D Myers; James D Brooks; Ronald W Davis; John Higgins; Art B Owen; Stuart K Kim
Journal:  PLoS Biol       Date:  2004-11-30       Impact factor: 8.029

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  5 in total

1.  Gene panels to help identify subgroups at high and low risk of coronary heart disease among those randomized to antihypertensive treatment: the GenHAT study.

Authors:  Amy I Lynch; John H Eckfeldt; Barry R Davis; Charles E Ford; Eric Boerwinkle; Catherine Leiendecker-Foster; Donna K Arnett
Journal:  Pharmacogenet Genomics       Date:  2012-05       Impact factor: 2.089

2.  Pharmacogenomics of antihypertensive drugs: past, present and future.

Authors:  Julie A Johnson
Journal:  Pharmacogenomics       Date:  2010-04       Impact factor: 2.533

Review 3.  Angiotensin receptor blockers: pharmacology, efficacy, and safety.

Authors:  Addison A Taylor; Helmy Siragy; Shawna Nesbitt
Journal:  J Clin Hypertens (Greenwich)       Date:  2011-07-27       Impact factor: 3.738

Review 4.  The Pharmacogenomics of Anti-Hypertensive Therapy.

Authors:  Sandosh Padmanabhan; Laura Paul; Anna F Dominczak
Journal:  Pharmaceuticals (Basel)       Date:  2010-06-01

5.  A rare genetic variant of BPIFB4 predisposes to high blood pressure via impairment of nitric oxide signaling.

Authors:  Carmine Vecchione; Francesco Villa; Albino Carrizzo; Chiara Carmela Spinelli; Antonio Damato; Mariateresa Ambrosio; Anna Ferrario; Michele Madonna; Annachiara Uccellatore; Silvia Lupini; Anna Maciag; Larisa Ryskalin; Luciano Milanesi; Giacomo Frati; Sebastiano Sciarretta; Riccardo Bellazzi; Stefano Genovese; Antonio Ceriello; Alberto Auricchio; Alberto Malovini; Annibale Alessandro Puca
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

  5 in total

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