Evidence map›Paper›PMID 31117290›Full record

ArticleGenes2019

Identification of a Missense Variant in

Benoit Hédan, Edouard Cadieu, Nadine Botherel, Caroline Dufaure de Citres, Anna Letko, Maud Rimbault, Cord Drögemüller, Vidhya Jagannathan, Thomas Derrien, Sheila Schmutz and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genes, 2019. 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
1.9field-weighted citation impact, top 16% 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, 23 citations in OpenAlex.

  1. Article
  2. Genetic testing predicts appearance but not behavior in dogs.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Evaluation of native canine skin color by smartphone-based dermatoscopy.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2022
    Article
  7. Factors associated with canine skin extensibility in toy poodles.The Journal of veterinary medical science · 2022
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

12 authors at 3 institutions in 3 countries.

Benoit HédanInstitut de Génétique et Développement de Rennes, CNRS-UMR6290, Université de Rennes1, 35000 Rennes, France. benoit.hedan@univ-rennes1.fr.ORCID 0000-0002-2418-1868
Edouard CadieuInstitut de Génétique et Développement de Rennes, CNRS-UMR6290, Université de Rennes1, 35000 Rennes, France. edouard.cadieu@univ-rennes1.fr.
Nadine BotherelInstitut de Génétique et Développement de Rennes, CNRS-UMR6290, Université de Rennes1, 35000 Rennes, France. nadine.botherel@univ-rennes1.fr.
Caroline Dufaure de CitresAntagene, 6 allée du Levant, 69890 La Tour de Salvagny, France. cdufauredecitres@antagene.com.
Anna LetkoInstitute of Genetics, University of Bern, 3001 Bern, Swizterland. anna.letko@vetsuisse.unibe.ch.ORCID 0000-0002-6521-1285
Maud RimbaultInstitut de Génétique et Développement de Rennes, CNRS-UMR6290, Université de Rennes1, 35000 Rennes, France. maud.rimbault@gmail.com.ORCID 0000-0002-9323-9816
Cord DrögemüllerInstitute of Genetics, University of Bern, 3001 Bern, Swizterland. cord.droegemueller@vetsuisse.unibe.ch.ORCID 0000-0001-9773-522X
Vidhya JagannathanInstitute of Genetics, University of Bern, 3001 Bern, Swizterland. vidhya.jagannathan@vetsuisse.unibe.ch.ORCID 0000-0002-8155-0041
Thomas DerrienInstitut de Génétique et Développement de Rennes, CNRS-UMR6290, Université de Rennes1, 35000 Rennes, France. thomas.derrien@univ-rennes1.fr.ORCID 0000-0002-8211-5789
Sheila SchmutzDepartment of Animal and Poultry Science, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada. sheila.schmutz@usask.ca.
Tosso LeebInstitute of Genetics, University of Bern, 3001 Bern, Swizterland. tosso.leeb@vetsuisse.unibe.ch.ORCID 0000-0003-0553-4880
Catherine AndréInstitut de Génétique et Développement de Rennes, CNRS-UMR6290, Université de Rennes1, 35000 Rennes, France. catherine.andre@univ-rennes1.fr.
Centre National de la Recherche Scientifique · FRUniversity of Bern · CHUniversity of Saskatchewan · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

White coat color in mammals has been selected several times during the domestication process. Numerous dog breeds are fixed for one form of white coat color that involves darkly pigmented skin. The genetic basis of this color, due to the absence of pigment in the hairs, was suggested to correspond to extreme dilution of the phaeomelanin, by both the expression of only phaeomelanin (locus E) and its extreme dilution (locus I). To go further, we performed genome-wide association studies (GWAS) using a multiple breed approach. The first GWAS, using 34 white dogs and 128 non-white dogs, including White Shepherds, Poodles, Cotons de Tulear and Bichons allowed us to identify two significantly associated loci on the locus E and a novel locus on chromosome 20. A second GWAS using 15 other breeds presenting extreme phaeomelanin dilution confirmed the position of locus I on the chromosome 20 (position 55 Mb

Indexed as

Genome-Wide Association StudyAnimalsDogsHorsesMelaninsMembrane ProteinsMiceMutation, MissenseSkin PigmentationMelaninsMembrane ProteinsMFSD12 protein, humanphaeomelaninDogLocus IMFSD12phaeomelanin dilution

Identifiers

PMID31117290
PMCPMC6562630
OpenAlexW2944936769

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.