Literature DB >> 15614026

Single nucleotide polymorphisms predict the change in left ventricular mass in response to antihypertensive treatment.

Ulrika Liljedahl1, Thomas Kahan, Karin Malmqvist, Håkan Melhus, Ann-Christine Syvänen, Lars Lind, Lisa Kurland.   

Abstract

BACKGROUND: Our aim was to determine whether the change in left ventricular (LV) mass in response to antihypertensive treatment could be predicted by multivariate analysis of single nucleotide polymorphisms (SNPs) in candidate genes reflecting pathways likely to be involved in blood pressure control.
METHODS: Patients with mild to moderate primary hypertension and LV hypertrophy were randomized in a double-blind fashion to treatment with either the angiotensin II type 1 receptor antagonist irbesartan (n = 48) or the beta1 adrenoreceptor blocker atenolol (n = 49). A microarray-based minisequencing system was used for genotyping 74 SNPs in 25 genes. These genotypes were related to the change in LV mass index by echocardiography, after 12 weeks treatment as monotherapy, using stepwise multiple regression analysis.
RESULTS: The blood pressure reductions were similar and significant in both treatment groups. Two SNPs in two separate genes (the angiotensinogen T1198C polymorphism, corresponding to the M235T variant and the apolipoprotein B G10108A polymorphism) for those treated with irbesartan, and the adrenoreceptor alpha2A A1817G for those treated with atenolol, significantly predicted the change in LV mass. The predictive power of these SNPs was independent of the degree of blood pressure reduction.
CONCLUSION: SNPs in the angiotensinogen, apolipoprotein B, and the alpha2 adrenoreceptor gene predicted the change in LV mass during antihypertensive therapy. These results illustrate the potential of using microarray-based technology for SNP genotyping in predicting individual drug responses.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15614026     DOI: 10.1097/00004872-200412000-00014

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  6 in total

Review 1.  Pharmacogenetics of beta-blockers.

Authors:  Jaekyu Shin; Julie A Johnson
Journal:  Pharmacotherapy       Date:  2007-06       Impact factor: 4.705

Review 2.  Genomic medicine: genetic variation and its impact on the future of health care.

Authors:  Huntington F Willard; Misha Angrist; Geoffrey S Ginsburg
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-08-29       Impact factor: 6.237

Review 3.  Impact of GPCRs in clinical medicine: monogenic diseases, genetic variants and drug targets.

Authors:  Paul A Insel; Chih-Min Tang; Ines Hahntow; Martin C Michel
Journal:  Biochim Biophys Acta       Date:  2006-10-05

4.  Genome-wide meta-analysis of SNP and antihypertensive medication interactions on left ventricular traits in African Americans.

Authors:  Anh N Do; Wei Zhao; Abigail S Baldridge; Laura M Raffield; Kerri L Wiggins; Sanjiv J Shah; Stella Aslibekyan; Hemant K Tiwari; Nita Limdi; Degui Zhi; Colleen M Sitlani; Kent D Taylor; Bruce M Psaty; Nona Sotoodehnia; Jennifer A Brody; Laura J Rasmussen-Torvik; Donald Lloyd-Jones; Leslie A Lange; James G Wilson; Jennifer A Smith; Sharon L R Kardia; Thomas H Mosley; Ramachandran S Vasan; Donna K Arnett; Marguerite R Irvin
Journal:  Mol Genet Genomic Med       Date:  2019-08-13       Impact factor: 2.473

5.  A Single Nucleotide Polymorphism near the CYP17A1 Gene Is Associated with Left Ventricular Mass in Hypertensive Patients under Pharmacotherapy.

Authors:  Matthias Huber; Susanne Lezius; Rona Reibis; Andras Treszl; Dorota Kujawinska; Stefanie Jakob; Karl Wegscheider; Heinz Völler; Reinhold Kreutz
Journal:  Int J Mol Sci       Date:  2015-07-30       Impact factor: 5.923

Review 6.  Contextualizing Genetics for Regional Heart Failure Care.

Authors:  Pupalan Iyngkaran; Merlin C Thomas; Renee Johnson; John French; Marcus Ilton; Peter McDonald; David L Hare; Diane Fatkin
Journal:  Curr Cardiol Rev       Date:  2016
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.