Evidence map›Paper›PMID 17854487›Full record

ArticleBMC medical genetics2007

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

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMC medical genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Genetic determinants of hypertension: an update.Current hypertension reports · 2008
    Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Sharon L R KardiaDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA. skardia@umich.edu
Yan V Sun
Sara C Hamon
Ruth Ann Barkley
Eric Boerwinkle
Stephen T Turner
University of Michigan–Ann Arbor · USThe University of Texas Health Science Center at Houston · USMayo Clinic · US

Funding

GENETIC DETERMINANTS OF HIGH BP IN THREE RACIAL GROUPSU01HL054457 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARDIA, SHARON L · 2000 to 2004
$2.8M
Genetic Predictors of Incident CVDR01HL068737 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARDIA, SHARON L · 2002 to 2005
$2.3M
GENETIC DETERMINANTS OF HIGH BP IN THREE RACIAL GROUPSU10HL054457 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SING, CHARLES F · 1995 to 1999
–
NHLBI NIH HHS HL54457NHLBI NIH HHS HL68737NHLBI NIH HHS R01 HL068737NHLBI NIH HHS U01 HL054457NHLBI NIH HHS U10 HL054457
6 · The paper itself

Abstract

backgroundAs 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).

methodTo 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.

resultsEight 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.

conclusionOur 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.

Indexed as

Genetic VariationAdducinsAnalysis of VarianceAntihypertensive AgentsBlood PressureCytoskeletal ProteinsGenetic MarkersGenotypeHumansHypertensionLinkage DisequilibriumMiddle AgedModels, GeneticPolymorphism, Single NucleotidePredictive Value of TestsRegression AnalysisADD2 protein, humanAdducinsAntihypertensive AgentsCytoskeletal ProteinsGenetic Markers

Identifiers

PMID17854487
PMCPMC2065870
OpenAlexW2140449714

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.