Evidence map›Paper›PMID 22124177›Full record

ArticleJournal of hypertension2012

Novel genes as primary triggers for polygenic hypertension.

Cristina Chauvet, Annie Ménard, Chunjie Xiao, Benjamin Aguila, Marilyne Blain, Julie Roy, Alan Y Deng

Abstract read
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In one paragraph

Article in Journal of hypertension, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 3 countries.

Cristina ChauvetResearch Centre, CRCHUM (Centre hospitalier de l'Université de Montréal), Department of Medicine, Université de Montréal, Montréal, Québec, Canada.
Annie Ménard
Chunjie Xiao
Benjamin Aguila
Marilyne Blain
Julie Roy
Alan Y Deng
Centre Hospitalier de l’Université de Montréal · CAApple (Israel) · ILMcGill University Health Centre · CA

Funding

Canadian Institutes of Health Research CCI 102928
6 · The paper itself

Abstract

objectivesThe discovery of causative genes leading to hypertension in animal models can reveal new mechanistic insights into blood pressure (BP) regulations. Previously, we isolated segments that harbor BP quantitative trait loci (QTLs) on rat chromosome 10 as defined by congenic strains made from crosses of inbred hypertensive Dahl salt-sensitive (DSS) and normotensive Lewis rats. The aim of the current study was to identify hypertension-causing genes for each QTL.

methodsMolecular analysis was performed.

resultsA systematic and comprehensive molecular analysis divulged particular genes that carry nonconserved mutations. Specifically, the proline rich 11 gene is likely responsible for C10QTL5. C10QTL1 is one of five genes, namely Benzodiazepine receptor associated protein 1, Loc689764, myotubularin related protein 4, protein phosphatase 1E, PP2C domain containing and ring finger protein 43. Loc100363423 with no known function is a candidate for C10QTL3. The ATP-binding cassette, subfamily A (ABC1), member 8a gene is probably responsible for C10QTL2.

conclusionsPrimary genes initiating polygenic hypertension are those not known to be involved in BP modulation. Novel pathways towards BP homeostasis appear to underlie the functionality of C10QTL5, C10QTL1 and C10QTL3 and C10QTL2. Moreover, these genes may become innovative targets for the diagnosis and therapeutics of essential hypertension.

Indexed as

Genetic Predisposition to DiseaseAnimalsBase SequenceBlood PressureDNA PrimersHomeostasisHumansHypertensionMutationQuantitative Trait LociRatsRats, Inbred DahlRats, Inbred LewReverse Transcriptase Polymerase Chain ReactionDNA Primers

Identifiers

PMID22124177
OpenAlexW2089175921

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.