Evidence map›Paper›PMID 23814039›Full record

ArticleHuman molecular genetics2013

Modularization and epistatic hierarchy determine homeostatic actions of multiple blood pressure quantitative trait loci.

Cristina Chauvet, Kimberley Crespo, Annie Ménard, Julie Roy, Alan Y Deng

Abstract read
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In one paragraph

Article in Human molecular genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

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  7. Will the real Dahl S rat please stand up?American journal of physiology. Renal physiology · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Cristina ChauvetDépartement de Medicine, Centre de Recherche, Centre Hospitalier de L'Université de Montréal (CRCHUM), Université de Montréal, Montréal, Québec, Canada.
Kimberley Crespo
Annie Ménard
Julie Roy
Alan Y Deng
Centre Hospitalier de l’Université de Montréal · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Hypertension, the most frequently diagnosed clinical condition world-wide, predisposes individuals to morbidity and mortality, yet its underlying pathological etiologies are poorly understood. So far, a large number of quantitative trait loci (QTLs) have been identified in both humans and animal models, but how they function together in determining overall blood pressure (BP) in physiological settings is unknown. Here, we systematically and comprehensively performed pair-wise comparisons of individual QTLs to create a global picture of their functionality in an inbred rat model. Rather than each of numerous QTLs contributing to infinitesimal BP increments, a modularized pattern arises: two epistatic 'blocks' constitute basic functional 'units' for nearly all QTLs, designated as epistatic module 1 (EM1) and EM2. This modularization dictates the magnitude and scope of BP effects. Any EM1 member can contribute to BP additively to that of EM2, but not to those of the same module. Members of each EM display epistatic hierarchy, which seems to reflect a related functional pathway. Rat homologues of 11 human BP QTLs belong to either EM1 or EM2. Unique insights emerge into the novel genetic mechanism and hierarchy determining BP in the Dahl salt-sensitive SS/Jr (DSS) rat model that implicate a portion of human QTLs. Elucidating the pathways underlying EM1 and EM2 may reveal the genetic regulation of BP.

Indexed as

Epistasis, GeneticQuantitative Trait LociAnimalsAnimals, CongenicBlood PressureDisease Models, AnimalGene Expression RegulationHomeostasisHumansHypertensionRatsRats, Inbred DahlRats, Inbred Lew

Identifiers

PMID23814039
OpenAlexW2108744048

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.