Evidence map›Paper›PMID 29073074›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Emily A Brown, Peter J Dickinson, Tamer Mansour, Beverly K Sturges, Miriam Aguilar, Amy E Young, Courtney Korff, Jenna Lind, Cassandra L Ettinger, Samuel Varon and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed
13.3field-weighted citation impact, top 1% 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

104 citing papers in PubMed, 129 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Dachshund spinal health by coat and size type.Journal of veterinary internal medicine · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Visual Assessment of Rib Cartilage Mineralization in Thoracic Radiographs as an Indicator of Age in Juvenile Dogs of Various Breeds.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Genetic testing predicts appearance but not behavior in dogs.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Article
  20. Review

44 more citing papers are in PubMed but not listed here.

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

14 authors at 2 institutions in 1 country.

Emily A BrownDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA 95616.
Peter J DickinsonDepartment of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, CA 95616.
Tamer MansourDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA 95616.
Beverly K SturgesDepartment of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, CA 95616.
Miriam AguilarDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA 95616.
Amy E YoungDepartment of Animal Science, University of California, Davis, CA 95616.ORCID 0000-0002-4181-4233
Courtney KorffDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA 95616.
Jenna LindDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA 95616.
Cassandra L EttingerGenome Center, University of California, Davis, CA 95616.
Samuel VaronBarney and Russum Animal Clinic, Fairfield, CA 94533.
Rachel PollardDepartment of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, CA 95616.
C Titus BrownDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA 95616.
Terje RaudseppDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX 77843.
Danika L BannaschDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA 95616; dlbannasch@ucdavis.edu.
University of California, Davis · USTexas A&M University · US

Funding

Molecular characterization of novel loci for orofacial clefting using canine modeR01DE022532 · NIDCR · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BANNASCH, DANIKA L · 2011 to 2014
$2.1M
Students Training in Advanced Research (STAR) ProgramT35OD010956 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DANIKA L BANNASCH · 2012 to 2026
$1.6M
Year-Long Exposure to Advanced Research (YEAR) Program for Vet StudentsT32OD010931 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI RAYBOULD, HELEN E · 2012 to 2018
$752k
NIDCR NIH HHS R01 DE022532NIH HHS T32 OD010931NIH HHS T35 OD010956
6 · The paper itself

Abstract

Chondrodystrophy in dogs is defined by dysplastic, shortened long bones and premature degeneration and calcification of intervertebral discs. Independent genome-wide association analyses for skeletal dysplasia (short limbs) within a single breed (

Indexed as

AnimalsDog DiseasesDogsFibroblast Growth Factor 4Genetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeIntervertebral Disc DegenerationIntervertebral Disc DisplacementMutagenesis, InsertionalOsteochondrodysplasiasFibroblast Growth Factor 4chondrodysplasiadysplasiageneticGWASinherited

Identifiers

PMID29073074
PMCPMC5664524
OpenAlexW2950458873

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.