Evidence map›Paper›PMID 20425152›Full record

ReviewCurrent hypertension reports2010

Recent advances in genetics of the spontaneously hypertensive rat.

Michal Pravenec, Theodore W Kurtz

Open access · hybridAbstract readReview
In one paragraph

Review in Current hypertension reports, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 48 citations in OpenAlex.

  1. Long-read whole-genome sequencing of SHR rat substrains with distinct substance use phenotypes.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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  12. Rat Models of Metabolic Syndrome.Methods in molecular biology (Clifton, N.J.) · 2019
    Article
  13. Review
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  16. ANO1 taking center stage: blood pressure regulation in SHRs.Journal of molecular and cellular cardiology · 2015
    Article
  17. Article
  18. Review
  19. Article
  20. Review
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 at 2 institutions in 2 countries.

Michal PravenecInstitute of Physiology, Academy of Sciences of the Czech Republic, Videnska 1083, Prague 4, Czech Republic. pravenec@biomed.cas.cz
Theodore W Kurtz
Berry (United States) · USCzech Academy of Sciences · CZ

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

The spontaneously hypertensive rat (SHR) is the most widely used animal model of essential hypertension and associated metabolic disturbances. Multiple quantitative trait loci associated with hemodynamic and metabolic parameters have been mapped in the SHR. Recently, it has become possible to identify some of the specific quantitative trait gene (QTG) variants that underlie quantitative trait loci linked to complex cardiovascular and metabolic traits in SHR related strains. Recombinant inbred strains derived from SHR and Brown Norway progenitors, together with SHR congenic and transgenic strains, have proven useful for establishing the identity of several QTGs in SHR models. It is anticipated that the combined use of linkage analyses and gene expression profiles, together with the recently available genome sequences of both the SHR and Brown Norway strains and new methods for manipulating the rat genome, will soon accelerate progress in identifying QTGs for complex traits in SHR-related strains.

Indexed as

AnimalsChromosome MappingDNA, MitochondrialGene ExpressionGene Transfer TechniquesQuantitative Trait, HeritableQuantitative Trait LociRatsRats, Inbred SHRRats, Inbred StrainsRats, TransgenicTransposasesDNA, MitochondrialTransposases

Identifiers

PMID20425152
PMCPMC2821617
OpenAlexW2013456543

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.