Interactions between the adducin 2 gene and antihypertensive drug therapies in determining blood pressure in people with hypertension

Sharon L.R. Kardia, Yan V. Sun, Sara C. Hamon, Ruth Ann Barkley, Eric Boerwinkle, Stephen T. Turner

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Background: As part of the NHLBI Family Blood Pressure Program, the Genetic Epidemiology Network of Arteriopathy (GENOA) recruited 575 sibships (n = 1583 individuals) from Rochester, MN who had at least two hypertensive siblings diagnosed before age 60. Linkage analysis identified a region on chromosome 2 that was investigated using 70 single nucleotide polymorphisms (SNPs) typed in 7 positional candidate genes, including adducin 2 (ADD2). Method: To investigate whether blood pressure (BP) levels in these hypertensives (n = 1133) were influenced by gene-by-drug interactions, we used cross-validation statistical methods (i.e., estimating a model for predicting BP levels in one subgroup and testing it in a different subgroup). These methods greatly reduced the chance of false positive findings. Results: Eight SNPs in ADD2 were significantly associated with systolic BP in untreated hypertensives (p-value < 0.05). Moreover, we also identified SNPs associated with gene-by-drug interactions on systolic BP in drug-treated hypertensives. The TT genotype at SNP rs1541582 was associated with an average systolic BP of 133 mmHg in the beta-blocker subgroup and 148 mmHg in the diuretic subgroup after adjusting for overall mean differences among drug classes. Conclusion: Our findings suggest that hypertension candidate gene variation may influence BP responses to specific antihypertensive drug therapies and measurement of genetic variation may assist in identifying subgroups of hypertensive patients who will benefit most from particular antihypertensive drug therapies.

Original languageEnglish (US)
Article number61
JournalBMC medical genetics
Volume8
DOIs
StatePublished - Sep 13 2007

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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