Evidence map›Paper›PMID 21215318›Full record

ArticleOsteoarthritis and cartilage2011

Canine hip dysplasia is predictable by genotyping.

G Guo, Z Zhou, Y Wang, K Zhao, L Zhu, G Lust, L Hunter, S Friedenberg, J Li, Y Zhang and 6 more

Open access · greenAbstract read
In one paragraph

Article in Osteoarthritis and cartilage, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 45 citations in OpenAlex.

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  14. Genotype imputation in the domestic dog.Mammalian genome : official journal of the International Mammalian Genome Society · 2016
    Article
  15. Article
  16. Emerging insights into the genetic basis of canine hip dysplasia.Veterinary medicine (Auckland, N.Z.) · 2015
    Review
  17. Article
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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

16 authors at 6 institutions in 2 countries.

G GuoDepartment of Animal Science, China Agricultural University, Beijing, China.
Z Zhou
Y Wang
K Zhao
L Zhu
G Lust
L Hunter
S Friedenberg
J Li
Y Zhang
S Harris
P Jones
J Sandler
U Krotscheck
R Todhunter
Z Zhang
Cornell University · USChina Agricultural University · CNChinese Academy of Agricultural Sciences · CNNew York State College of Veterinary Medicine · USWaltham Centre for Pet NutritionOklahoma State University · US

Funding

Tools for Genetic and Genomic Studies in the DogR24GM082910 · NIGMS · CORNELL UNIVERSITY · PI ACLAND, GREGORY M · 2008 to 2011
$1.5M
Fibrillin 2 and Developmental Genetics of Hip Dysplasia in a Canine ModelR21AR055228 · NIAMS · CORNELL UNIVERSITY · PI TODHUNTER, RORY JAMES · 2008 to 2009
$373k
NIAMS NIH HHS 1R21AR055228-01A1NIAMS NIH HHS R21 AR055228NIGMS NIH HHS 1R24GM082910-01A1
6 · The paper itself

Abstract

objectiveTo establish a predictive method using whole genome genotyping for early intervention in canine hip dysplasia (CHD) risk management, for the prevention of the progression of secondary osteoarthritis (OA), and for selective breeding.

designTwo sets of dogs (six breeds) were genotyped with dense SNPs covering the entire canine genome. The first set contained 359 dogs upon which a predictive formula for genomic breeding value (GBV) was derived by using their estimated breeding value (EBV) of the Norberg angle (a measure of CHD) and their genotypes. To investigate how well the formula would work for an individual dog with genotype only (without using EBV), a cross validation was performed by masking the EBV of one dog at a time. The genomic data and the EBV of the remaining dogs were used to predict the GBV for the single dog that was left out. The second set of dogs included 38 new Labrador retriever dogs, which had no pedigree relationship to the dogs in the first set.

resultsThe cross validation showed a strong correlation (R>0.7) between the EBV and the GBV. The independent validation showed a moderate correlation (R=0.5) between GBV for the Norberg angle and the observed Norberg angle (no EBV was available for the new 38 dogs). Sensitivity, specificity, positive and negative predictive values of the genomic data were all above 70%.

conclusionsPrediction of CHD from genomic data is feasible, and can be applied for risk management of CHD and early selection for genetic improvement to reduce the prevalence of CHD in breeding programs. The prediction can be implemented before maturity, at which age current radiographic screening programs are traditionally applied, and as soon as DNA is available.

Indexed as

AnimalsDisease ManagementDogsEarly DiagnosisGenetic TestingGenotypeHip Dysplasia, CanineModels, GeneticOsteoarthritis, HipPolymorphism, Single NucleotidePredictive Value of Tests

Identifiers

PMID21215318
PMCPMC3065507
OpenAlexW2027490290

What OpenQuestion holds

Textmetadata
LicenceTDM
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.