Evidence map›Paper›PMID 19652078›Full record

ArticleHypertension (Dallas, Tex. : 1979)2009

Genetic analysis of blood pressure in 8 mouse intercross populations.

Minjie Feng, Marion E Deerhake, Ryan Keating, Jill Thaisz, Lingfei Xu, Shirng-Wern Tsaih, Randy Smith, Taiichiro Ishige, Fumihiro Sugiyama, Gary A Churchill and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Hypertension (Dallas, Tex. : 1979), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Multi-spectral Fluorescent Reporter Influenza A Viruses Allow forbioRxiv : the preprint server for biology · 2023
    Article
  4. Genetics of murine type 2 diabetes and comorbidities.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
  5. Review
  6. Article
  7. Article
  8. Advances in the Genetics of Hypertension: The Effect of Rare Variants.International journal of molecular sciences · 2018
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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  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

11 authors at 1 institution in 1 country.

Minjie FengNovartis Institute for BioMedical Research, 1 Health Plaza, East Hanover, NJ 07936, USA.
Marion E Deerhake
Ryan Keating
Jill Thaisz
Lingfei Xu
Shirng-Wern Tsaih
Randy Smith
Taiichiro Ishige
Fumihiro Sugiyama
Gary A Churchill
Keith DiPetrillo
Jackson Laboratory · US

Funding

Systems Genetic Analysis of Multi-parent CrossesR01GM070683 · NIGMS · JACKSON LABORATORY · PI BROMAN, KARL W, CHURCHILL, GARY A · 2004 to 2022
$6.8M
NIGMS NIH HHS R01 GM070683
6 · The paper itself

Abstract

The genetic basis of hypertension is well established, yet very few genes that cause common forms of hypertension are known. Quantitative trait locus (QTL) analyses in rodent models can guide the search for human hypertension genes, but the excellent genetic resources for mice have been underused in this regard. To address this issue, we surveyed blood pressure variation in mice from 37 inbred strains and generated 2577 mice in 8 intercross populations to perform QTL analyses of blood pressure. We identified 14 blood pressure QTL in these populations, including > or =7 regions of the mouse genome not linked previously to blood pressure. Many QTL were detected in multiple crosses, either within our study or in studies published previously, which facilitates the use of bioinformatics methods to narrow the QTL and focus the search for candidate genes. The regions of the human genome that correspond to all but 1 of the 14 blood pressure QTL in mice are linked to blood pressure in humans, suggesting that these regions contain causal genes with a conserved role in blood pressure control. These results greatly expand our knowledge of the genomic regions underlying blood pressure regulation in mice and support future studies to identify the causal genes within these QTL intervals.

Indexed as

AnimalsBlood PressureChromosome MappingDisease Models, AnimalFemaleGenotypeHypertensionMaleMiceMice, Inbred StrainsPhenotypeQuantitative Trait Loci

Identifiers

PMID19652078
PMCPMC2854560
OpenAlexW2155771436

What OpenQuestion holds

Textmetadata
LicenceTDM
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.