Evidence map›Paper›PMID 16600156›Full record

ReviewCurrent hypertension reports2006

Update on G-protein polymorphisms in hypertension.

Haidong Zhu, Xiaoling Wang, Yanhui Lu, Joseph Poola, Zamena Momin, Gregory A Harshfield, Harold Snieder, Yanbin Dong

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hypertension reports, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

8 authors at 1 institution in 1 country.

Haidong ZhuGeorgia Prevention Institute, Department of Pediatrics, Medical College of Georgia, 1120 15th Street, HS-1640, Augusta, GA 30912-3715, USA.
Xiaoling Wang
Yanhui Lu
Joseph Poola
Zamena Momin
Gregory A Harshfield
Harold Snieder
Yanbin Dong
Prevention Institute · US

Funding

Vascular and renal responses to stressP01HL069999 · NHLBI · MEDICAL COLLEGE OF GEORGIA (MCG) · PI HARSHFIELD, GREGORY ALAN · 2002 to 2018
$31.1M
Genetics and cardiovascular reactivity in young twinsR21HL076723 · NHLBI · MEDICAL COLLEGE OF GEORGIA (MCG) · PI DONG, YANBIN · 2004 to 2005
$286k
NHLBI NIH HHS HL076723NHLBI NIH HHS HL69999
6 · The paper itself

Abstract

The classic candidate gene approach continues to be the most prevalent tool in the search for the genetic basis of essential hypertension. With the list of candidate genes for this disorder steadily increasing, the pertussis toxin-sensitive inhibitory G protein (Gi) protein beta3 subunit (GNB3) gene has remained "sizzling," challenging the domination of the renin-angiotensin system. Is the genetic variability of GNB3 a causative factor underlying the pathogenesis of essential hypertension? Is the "functional" polymorphism, C825T, only "another" of the countless single nucleotide polymorphisms (SNP) for this disorder after all? As such, does its presence merely reinforce our confidence that essential hypertension is indeed polygenic? Should the C825T polymorphism be used in clinical practice and individualized antihypertensive treatment? Currently, there are still more questions than answers. In this review, in conjunction with our own research, we bring readers up to date on the latest developments of GNB3 polymorphisms in the field of hypertension.

Indexed as

Polymorphism, GeneticDNAHeterotrimeric GTP-Binding ProteinsHumansHypertensionProtein SubunitsSignal TransductionDNAG-protein beta3 subunitHeterotrimeric GTP-Binding ProteinsProtein Subunits

Identifiers

PMID16600156
OpenAlexW2027299227

What OpenQuestion holds

Textmetadata
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.