Evidence map›Paper›PMID 20035862›Full record

ReviewBiochimica et biophysica acta2010

Genetics of hypertension: from experimental animals to humans.

Christian Delles, Martin W McBride, Delyth Graham, Sandosh Padmanabhan, Anna F Dominiczak

Open access · greenAbstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 70 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Sex differences in preclinical models of hypertension.Journal of human hypertension · 2023
    Review
  5. Association study ofFrontiers in genetics · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Elevated BP after AKI.Journal of the American Society of Nephrology : JASN · 2016
    Article
  14. Article
  15. Article
  16. Article
  17. Genetics of hypertension: discoveries from the bench to human populations.American journal of physiology. Renal physiology · 2014
    Article
  18. Review
  19. Proteomics in hypertension.Journal of human hypertension · 2013
    Review
  20. 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

5 authors at 1 institution in 1 country.

Christian DellesBHF Glasgow Cardiovascular Research Centre, University of Glasgow, UK.
Martin W McBride
Delyth Graham
Sandosh Padmanabhan
Anna F Dominiczak
University of Glasgow · GB

Funding

British Heart Foundation RG/07/005/23633Wellcome TrustWellcome Trust 066780/2/012
6 · The paper itself

Abstract

Essential hypertension affects 20 to 30% of the population worldwide and contributes significantly to cardiovascular mortality and morbidity. Heridability of blood pressure is around 15 to 40% but there are also substantial environmental factors affecting blood pressure variability. It is assumed that blood pressure is under the control of a large number of genes each of which has only relatively mild effects. It has therefore been difficult to discover the genes that contribute to blood pressure variation using traditional approaches including candidate gene studies and linkage studies. Animal models of hypertension, particularly in the rat, have led to the discovery of quantitative trait loci harbouring one or several hypertension related genes, but translation of these findings into human essential hypertension remains challenging. Recent development of genotyping technology made large scale genome-wide association studies possible. This approach and the study of monogenic forms of hypertension has led to the discovery of novel and robust candidate genes for human essential hypertension, many of which require functional analysis in experimental models.

Indexed as

Disease Models, AnimalAnimalsGenome-Wide Association StudyHumansHypertensionRats

Identifiers

PMID20035862
PMCPMC2977068
OpenAlexW2126841225

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.