Evidence map›Paper›PMID 31213483›Full record

ArticleDisease models & mechanisms2019

Conserved properties of genetic architecture of renal and fat transcriptomes in rat models of insulin resistance.

Georg W Otto, Pamela J Kaisaki, Francois Brial, Aurélie Le Lay, Jean-Baptiste Cazier, Richard Mott, Dominique Gauguier

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Disease models & mechanisms, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. What lies beyond 100 years of insulin.Disease models & mechanisms · 2021
    Article
  3. Article
  4. 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

7 authors at 4 institutions in 3 countries.

Georg W OttoGenetics and Genomic Medicine, University College London Institute of Child Health, 30 Guilford Street, London WC1N 1EH, United Kingdom.ORCID 0000-0002-3929-948X
Pamela J KaisakiThe Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Headington, Oxford OX3 7BN, United Kingdom.
Francois BrialUniversity Paris Descartes, INSERM UMR 1124, 45 rue des Saint-Pères, 75006 Paris, France.
Aurélie Le LayUniversity Paris Descartes, INSERM UMR 1124, 45 rue des Saint-Pères, 75006 Paris, France.
Jean-Baptiste CazierCentre for Computational Biology, Medical School, University of Birmingham, Birmingham B15 2TT, United Kingdom.
Richard MottUniversity College London Genetics Institute, Gower Street, London WC1E 6BT, United Kingdom.
Dominique GauguierThe Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Headington, Oxford OX3 7BN, United Kingdom dominique.gauguier@inserm.fr.ORCID 0000-0001-6156-9530
Délégation Paris 5 · FRUniversity College London · GBCentre for Human Genetics · GBUniversity of Birmingham · GB

Funding

Wellcome TrustWellcome Trust 057733Wellcome Trust 075491/Z/04
6 · The paper itself

Abstract

To define renal molecular mechanisms that are affected by permanent hyperglycaemia and might promote phenotypes relevant to diabetic nephropathy, we carried out linkage analysis of genome-wide gene transcription in the kidneys of F2 offspring from the Goto-Kakizaki (GK) rat model of type 2 diabetes and normoglycaemic Brown Norway (BN) rats. We mapped 2526 statistically significant expression quantitative trait loci (eQTLs) in the cross. More than 40% of eQTLs mapped in the close vicinity of the linked transcripts, underlying possible

Indexed as

Disease Models, AnimalTranscriptomeAdipose TissueAnimalsChromosome MappingDiabetes Mellitus, Type 2Genetic Predisposition to DiseaseInsulin ResistanceKidneyQuantitative Trait LociRatsRats, Inbred BNRats, Inbred SHRDiabetes mellituseQTLGoto-Kakizaki ratSNPSpontaneously hypertensive ratSystems geneticsTranscriptome

Identifiers

PMID31213483
PMCPMC6679378
OpenAlexW2950953435

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.