Evidence map›Paper›PMID 25278896›Full record

ArticleFrontiers in pharmacology2014

The effects of angiotensinogen gene polymorphisms on cardiovascular disease outcomes during antihypertensive treatment in the GenHAT study.

Anh N Do, Marguerite R Irvin, Amy I Lynch, Steven A Claas, Eric Boerwinkle, Barry R Davis, Charles E Ford, John H Eckfeldt, Hemant K Tiwari, Nita A Limdi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. The Association of M235T Genetic Polymorphism inJournal of personalized medicine · 2024
    Article
  5. Article
  6. Article
  7. Pharmacogenetics in Primary Headache Disorders.Frontiers in pharmacology · 2021
    Review
  8. Review
  9. Article
  10. 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

11 authors at 3 institutions in 1 country.

Anh N DoDepartment of Epidemiology, University of Alabama at Birmingham Birmingham, AL, USA.
Marguerite R IrvinDepartment of Epidemiology, University of Alabama at Birmingham Birmingham, AL, USA.
Amy I LynchDepartment of Epidemiology, University of Alabama at Birmingham Birmingham, AL, USA.
Steven A ClaasDepartment of Epidemiology, University of Alabama at Birmingham Birmingham, AL, USA.
Eric BoerwinkleDivision of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston Houston, TX, USA.
Barry R DavisDivision of Biostatistics, School of Public Health, University of Texas Health Science Center at Houston Houston, TX, USA.
Charles E FordDivision of Biostatistics, School of Public Health, University of Texas Health Science Center at Houston Houston, TX, USA.
John H EckfeldtDepartment of Laboratory Medicine and Pathology, University of Minnesota Minneapolis, MN, USA.
Hemant K TiwariDepartment of Biostatistics, University of Alabama at Birmingham Birmingham, AL, USA.
Nita A LimdiDepartment of Neurology, University of Alabama at Birmingham Birmingham, AL, USA.
Donna K ArnettDepartment of Epidemiology, University of Alabama at Birmingham Birmingham, AL, USA.
University of Alabama at Birmingham · USThe University of Texas Health Science Center at Houston · USUniversity of Minnesota · US

Funding

CLINICAL TRIALS CENTER FOR ALLHAT-N01HC35130-268035130N01HC035130 · HC · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · 1993 to 2005
$6.3M
GENHAT-GENETICS OF HYPERTENSION ASSOCIATED TREATMENTSR01HL063082 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 1999 to 2009
$5.1M
NHLBI NIH HHS N01 HC035130NHLBI NIH HHS R01 HL063082
6 · The paper itself

Abstract

Previous studies have reported that risk of cardiovascular morbidity and mortality substantially increases in hypertensive patients, especially among those with inadequate blood pressure control. Two common antihypertensive drug classes including thiazide diuretics and angiotensin-converting enzyme (ACE) inhibitors affect different enzymes in the renin-angiotensin-aldosterone system (RAAS). In the RAAS, angiotensinogen is converted into angiotensin II which increases blood pressure through vasoconstriction. Using a case-only design with 3448 high-risk hypertensive individuals from the Genetics of Hypertension Associated Treatment (GenHAT) study, we examined whether seven single nucleotide polymorphisms (SNPs) in the angiotensinogen gene (AGT) interact with three classes of antihypertensive drugs including chlorthalidone (a thiazide diuretic), lisinopril (an ACE inhibitor), and amlodipine (a calcium channel blocker) to modify the risk of incident coronary heart disease (CHD) and heart failure (HF) among Caucasian and African American participants, separately. We found no gene by treatment interactions to be statistically significant after correction for multiple testing. However, some suggestive results were found. African American participants with the minor allele of rs11122576 had over two-fold higher risk of CHD when using chlorthalidone compared to using amlodipine, or lisinopril compared to amlodipine (p = 0.006 and p = 0.01, respectively). Other marginal associations are also reported among both race groups. The findings reported here suggest that rs11122576 could contribute to future personalization of antihypertensive treatment among African Americans though more studies are needed.

Indexed as

AGT geneantihypertensive drugscoronary heart diseaseheart failurehypertension

Identifiers

PMID25278896
PMCPMC4165277
OpenAlexW2133197720

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.