Evidence map›Paper›PMID 23303660›Full record

ReviewEuropean heart journal2013

Genes for blood pressure: an opportunity to understand hypertension.

Georg B Ehret, Mark J Caulfield

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in European heart journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 9 pooled it
–field-weighted citation impact
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

90 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  16. Animal models of hypertension and concurrent organs injury.Animal models and experimental medicine · 2025
    Review
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  18. Observational
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  20. Article

30 more citing papers are in PubMed but not listed here.

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

2 authors.

Georg B EhretCardiology, Department of Specialties of Internal Medicine, Geneva University Hospitals, Geneva, Switzerland.
Mark J Caulfield

Funding

Genome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2M
Medical Research Council G0600237Medical Research Council G9521010Medical Research Council MR/K006584/1NHLBI NIH HHS R01 HL086694
6 · The paper itself

Abstract

Hypertension (HTN) is quantitatively the major cardiovascular risk factor and responsible for ∼50% of cardiovascular morbidity and mortality. Blood pressure (BP) is also a classical complex genetic trait with heritability estimates of 30-50%. Although much is known about BP regulation, the intrinsic origin of essential HTN remains obscure although many environmental factors are known. Analyses of rare monogenic syndromes of HTN have focused attention on pathways that involve renal sodium handling, and steroid hormone metabolism including the mineralocorticoid receptor activity. The genetic basis of common essential HTN on the other hand is only just becoming accessible through high-throughput approaches. Unbiased genome-wide analyses of BP genomics have identified 43 genetic variants associated with systolic, diastolic BP, and HTN. It is highly likely based on current findings that there are hundreds of such loci with small effects on BP, opening a perspective on the genetic architecture of BP that was unknown before. It is our hope that the knowledge of these and further loci will lead to improved understanding of BP pathophysiology and to the identification of new targets for drug therapy.

Indexed as

GenesBlood PressureDiabetes Mellitus, Type 2ForecastingGenome, HumanHumansHypercholesterolemiaHypertensionPhenotypeRisk FactorsSmoking

Identifiers

PMID23303660
PMCPMC3612776

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.