Literature DB >> 20031608

CACNA1C gene polymorphisms, cardiovascular disease outcomes, and treatment response.

Amber L Beitelshees1, Hrishikesh Navare, Danxin Wang, Yan Gong, Jennifer Wessel, James I Moss, Taimour Y Langaee, Rhonda M Cooper-DeHoff, Wolfgang Sadee, Carl J Pepine, Nicolas J Schork, Julie A Johnson.   

Abstract

BACKGROUND: The gene encoding the target of calcium channel blockers, the alpha1c-subunit of the L-type calcium channel (CACNA1C), has not been well characterized, and only small pharmacogenetic studies testing this gene have been published to date. METHODS AND
RESULTS: Resequencing of CACNA1C was performed followed by a nested case-control study of the INternational VErapamil SR/trandolapril STudy (INVEST) GENEtic Substudy (INVEST-GENES). Of 46 polymorphisms identified, 8 were assessed in the INVEST-GENES. Rs1051375 was found to have a significant interaction with treatment strategy (P=0.0001). Rs1051375 A/A genotype was associated with a 46% reduction in the primary outcome among those randomized to verapamil SR treatment, when compared with atenolol treatment (odds ratio 0.54 95% CI 0.32 to 0.92). In heterozygous A/G individuals, there was no difference in the occurrence of the primary outcome when randomized to verapamil SR versus atenolol treatment (odds ratio 1.47 95% CI 0.86 to 2.53), whereas homozygous G/G individuals had a greater than 4-fold increased risk of the primary outcome with verapamil treatment compared with those randomized to atenolol treatment (odds ratio 4.59 95% CI 1.67 to 12.67). We did not identify allelic expression imbalance or differences in mRNA expression in heart tissue by rs1051375 genotype.
CONCLUSIONS: Variation in CACNA1C is associated with treatment response among hypertensive patients with stable coronary artery disease. Our data suggest a genetically defined group of patients that benefit most from calcium channel blocker therapy, a group that benefits most from beta-blocker therapy, and a third group in which calcium channel blocker and beta-blocker therapy are equivalent.

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Year:  2009        PMID: 20031608      PMCID: PMC2761685          DOI: 10.1161/CIRCGENETICS.109.857839

Source DB:  PubMed          Journal:  Circ Cardiovasc Genet        ISSN: 1942-3268


  14 in total

1.  Caution on pedigree haplotype inference with software that assumes linkage equilibrium.

Authors:  Daniel J Schaid; Shannon K McDonnell; Liang Wang; Julie M Cunningham; Stephen N Thibodeau
Journal:  Am J Hum Genet       Date:  2002-10       Impact factor: 11.025

2.  Collection of genomic DNA by the noninvasive mouthwash method for use in pharmacogenetic studies.

Authors:  Tara Engeman Andrisin; Larisa M Humma; Julie A Johnson
Journal:  Pharmacotherapy       Date:  2002-08       Impact factor: 4.705

3.  A "silent" polymorphism in the MDR1 gene changes substrate specificity.

Authors:  Chava Kimchi-Sarfaty; Jung Mi Oh; In-Wha Kim; Zuben E Sauna; Anna Maria Calcagno; Suresh V Ambudkar; Michael M Gottesman
Journal:  Science       Date:  2006-12-21       Impact factor: 47.728

4.  Highly variable mRNA expression and splicing of L-type voltage-dependent calcium channel alpha subunit 1C in human heart tissues.

Authors:  Danxin Wang; Audrey C Papp; Philip F Binkley; Julie A Johnson; Wolfgang Sadée
Journal:  Pharmacogenet Genomics       Date:  2006-10       Impact factor: 2.089

5.  CACNA1C polymorphisms are associated with the efficacy of calcium channel blockers in the treatment of hypertension.

Authors:  Troy Bremer; Albert Man; Kalev Kask; Cornelius Diamond
Journal:  Pharmacogenomics       Date:  2006-04       Impact factor: 2.533

6.  A calcium antagonist vs a non-calcium antagonist hypertension treatment strategy for patients with coronary artery disease. The International Verapamil-Trandolapril Study (INVEST): a randomized controlled trial.

Authors:  Carl J Pepine; Eileen M Handberg; Rhonda M Cooper-DeHoff; Ronald G Marks; Peter Kowey; Franz H Messerli; Giuseppe Mancia; José L Cangiano; David Garcia-Barreto; Matyas Keltai; Serap Erdine; Heather A Bristol; H Robert Kolb; George L Bakris; Jerome D Cohen; William W Parmley
Journal:  JAMA       Date:  2003-12-03       Impact factor: 56.272

7.  Genetic polymorphisms of L-type calcium channel alpha1C and alpha1D subunit genes are associated with sensitivity to the antihypertensive effects of L-type dihydropyridine calcium-channel blockers.

Authors:  Kei Kamide; Jin Yang; Tetsutaro Matayoshi; Shin Takiuchi; Takeshi Horio; Masayoshi Yoshii; Yoshikazu Miwa; Hisayo Yasuda; Fumiki Yoshihara; Satoko Nakamura; Hajime Nakahama; Toshiyuki Miyata; Yuhei Kawano
Journal:  Circ J       Date:  2009-02-17       Impact factor: 2.993

8.  beta-adrenergic receptor gene polymorphisms and beta-blocker treatment outcomes in hypertension.

Authors:  M A Pacanowski; Y Gong; R M Cooper-Dehoff; N J Schork; M D Shriver; T Y Langaee; C J Pepine; J A Johnson
Journal:  Clin Pharmacol Ther       Date:  2008-07-09       Impact factor: 6.875

9.  KCNMB1 genotype influences response to verapamil SR and adverse outcomes in the INternational VErapamil SR/Trandolapril STudy (INVEST).

Authors:  Amber L Beitelshees; Yan Gong; Danxin Wang; Nicholas J Schork; Rhonda M Cooper-Dehoff; Taimour Y Langaee; Mark D Shriver; Wolfgang Sadee; Harm J Knot; Carl J Pepine; Julie A Johnson
Journal:  Pharmacogenet Genomics       Date:  2007-09       Impact factor: 2.089

10.  Alpha-adducin polymorphism associated with increased risk of adverse cardiovascular outcomes: results from GENEtic Substudy of the INternational VErapamil SR-trandolapril STudy (INVEST-GENES).

Authors:  Tobias Gerhard; Yan Gong; Amber L Beitelshees; Xianyun Mao; Maximilian T Lobmeyer; Rhonda M Cooper-DeHoff; Taimour Y Langaee; Nicholas J Schork; Mark D Shriver; Carl J Pepine; Julie A Johnson
Journal:  Am Heart J       Date:  2008-06-20       Impact factor: 4.749

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1.  Does the bipolar disorder-associated CACNA1C gene confer susceptibility to schizophrenia in Han Chinese?

Authors:  Jiangtao Zhang; Jun Cai; Xu Zhang; Jianliang Ni; Zhongwei Guo; Yi Zhang; Weihong Lu; Chen Zhang
Journal:  J Mol Neurosci       Date:  2013-07-31       Impact factor: 3.444

2.  Liver X receptor α gene polymorphisms and variable cardiovascular outcomes in patients treated with antihypertensive therapy: results from the INVEST-GENES study.

Authors:  Elvin Tyrone Price; Michael A Pacanowski; Michael A Martin; Rhonda M Cooper-DeHoff; Carl J Pepine; Issam Zineh; Julie A Johnson
Journal:  Pharmacogenet Genomics       Date:  2011-06       Impact factor: 2.089

3.  Pharmacogenomics: application to the management of cardiovascular disease.

Authors:  J A Johnson; L H Cavallari; A L Beitelshees; J P Lewis; A R Shuldiner; D M Roden
Journal:  Clin Pharmacol Ther       Date:  2011-09-14       Impact factor: 6.875

4.  Identifying the Transcriptome Signatures of Calcium Channel Blockers in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes.

Authors:  Chi Keung Lam; Lei Tian; Nadjet Belbachir; Alexa Wnorowski; Rajani Shrestha; Ning Ma; Tomoya Kitani; June-Wha Rhee; Joseph C Wu
Journal:  Circ Res       Date:  2019-05-13       Impact factor: 17.367

Review 5.  An update on the pharmacogenetics of treating hypertension.

Authors:  V Fontana; M R Luizon; V C Sandrim
Journal:  J Hum Hypertens       Date:  2014-08-28       Impact factor: 3.012

6.  Autonomic and hemodynamic origins of pre-hypertension: central role of heredity.

Authors:  Jason T Davis; Fangwen Rao; Dalal Naqshbandi; Maple M Fung; Kuixing Zhang; Andrew J Schork; Caroline M Nievergelt; Michael G Ziegler; Daniel T O'Connor
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7.  Association between CACNA1C gene polymorphisms and ritodrine-induced adverse events in preterm labor patients.

Authors:  Min Young Baek; Han Sung Hwang; Jin Young Park; Jee Eun Chung; Kyung Eun Lee; Gwan Yung Lee; Jin Won Seong; Jeong Yee; Young Ju Kim; Hye Sun Gwak
Journal:  Eur J Clin Pharmacol       Date:  2017-04-08       Impact factor: 2.953

Review 8.  Is personalized medicine achievable in obstetrics?

Authors:  Sara K Quinney; Avinash S Patil; David A Flockhart
Journal:  Semin Perinatol       Date:  2014-10-03       Impact factor: 3.300

Review 9.  Cardiovascular pharmacogenomics.

Authors:  Dan M Roden; Julie A Johnson; Stephen E Kimmel; Ronald M Krauss; Marisa Wong Medina; Alan Shuldiner; Russell A Wilke
Journal:  Circ Res       Date:  2011-09-16       Impact factor: 17.367

10.  Pharmacogenomic studies of hypertension: paving the way for personalized antihypertensive treatment.

Authors:  Michael T Eadon; Sri H Kanuri; Arlene B Chapman
Journal:  Expert Rev Precis Med Drug Dev       Date:  2018-01-03
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