Evidence map›Paper›PMID 30904946›Full record

ReviewHuman genetics2019

Natural models for retinitis pigmentosa: progressive retinal atrophy in dog breeds.

Morgane Bunel, Gilles Chaudieu, Christian Hamel, Laetitia Lagoutte, Gaël Manes, Nadine Botherel, Philippe Brabet, Philippe Pilorge, Catherine André, Pascale Quignon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Human genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

29 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Canine and Feline Models of Inherited Retinal Diseases.Cold Spring Harbor perspectives in medicine · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. A comprehensive review of genomic perspectives of canine diseases as a model to study human disorders.Canadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2023
    Review
  18. Review
  19. Article
  20. Roles of plant-based ingredients and phytonutrients in canine nutrition and health.Journal of animal physiology and animal nutrition · 2022
    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

10 authors at 3 institutions in 1 country.

Morgane BunelUniversity of Rennes, CNRS, IGDR (Institut de génétique et développement de Rennes)-UMR6290, 35000, Rennes, France.
Gilles ChaudieuClinique Vétérinaire, 52 Boulevard M. Pourchon, Clermont-Ferrand, 63100, France.
Christian HamelINSERM U1051, Institute for Neurosciences of Montpellier, Hopital Saint Eloi, Montpellier, France.
Laetitia LagoutteUniversity of Rennes, CNRS, IGDR (Institut de génétique et développement de Rennes)-UMR6290, 35000, Rennes, France.
Gaël ManesINSERM U1051, Institute for Neurosciences of Montpellier, Hopital Saint Eloi, Montpellier, France.
Nadine BotherelUniversity of Rennes, CNRS, IGDR (Institut de génétique et développement de Rennes)-UMR6290, 35000, Rennes, France.
Philippe BrabetINSERM U1051, Institute for Neurosciences of Montpellier, Hopital Saint Eloi, Montpellier, France.
Philippe PilorgeClinique vétérinaire Rive Ouest, Rennes, France.
Catherine AndréUniversity of Rennes, CNRS, IGDR (Institut de génétique et développement de Rennes)-UMR6290, 35000, Rennes, France.
Pascale QuignonUniversity of Rennes, CNRS, IGDR (Institut de génétique et développement de Rennes)-UMR6290, 35000, Rennes, France. pascale.quignon@univ-rennes1.fr.ORCID http://orcid.org/0000-0001-7769-8978
Centre National de la Recherche Scientifique · FRInserm · FRCentre Hospitalier Vétérinaire Frégis · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinitis pigmentosa (RP) is a heterogeneous group of inherited retinal disorders eventually leading to blindness with different ages of onset, progression and severity. Human RP, first characterized by the progressive degeneration of rod photoreceptor cells, shows high genetic heterogeneity with more than 90 genes identified. However, about one-third of patients have no known genetic causes. Interestingly, dogs are also severely affected by similar diseases, called progressive retinal atrophy (PRA). Indeed, RP and PRA have comparable clinical signs, physiopathology and outcomes, similar diagnosis methods and most often, orthologous genes are involved. The many different dog PRAs often segregate in specific breeds. Indeed, undesired alleles have been selected and amplified through drastic selection and excessive use of inbreeding. Out of the 400 breeds, nearly 100 have an inherited form of PRA, which are natural animal models that can be used to investigate the genetics, disease progression and therapies in dogs for the benefit of both dogs and humans. Recent knowledge on the canine genome and access to new genotyping and sequencing technologies now efficiently allows the identification of mutations involved in canine genetic diseases. To date, PRA genes identified in dog breeds correspond to the same genes in humans and represent relevant RP models, and new genes found in dogs represent good candidate for still unknown human RP. We present here a review of the main advantages of the dog models for human RP with the genes already identified and an X-linked PRA in the Border collie as a model for orphan X-linked RPs in human.

Indexed as

AnimalsDisease Models, AnimalDog DiseasesDogsFemaleGenetic Predisposition to DiseaseHumansMaleRetinal DegenerationRetinal Rod Photoreceptor CellsRetinitis Pigmentosa

Identifiers

PMID30904946
OpenAlexW2937790067

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.