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, S. Harris, P. Jones, J. Sandler, U. Krotscheck, R. Todhunter, Z. Zhang

Research output: Contribution to journalArticlepeer-review

28 Scopus citations


Objective: To 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. Design: Two 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. Results: The 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%. Conclusions: Prediction 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.

Original languageEnglish (US)
Pages (from-to)420-429
Number of pages10
JournalOsteoarthritis and Cartilage
Issue number4
StatePublished - Apr 2011

Bibliographical note

Funding Information:
We thank Liz Corey and Dr Marta Castelhano for technical assistance. The study was supported by National Institutes of Health ( 1R21AR055228-01A1; 1R24GM082910-01A1 ), National Science Foundation (# 0606461 ), Chinese National Key Technologies R&D Program (No. 2006BAD04A01 , No. 2006BAD01A10 , No. 2008BADB2B03 , No. 2008AA101010 ), National Department Public Benefit Research Foundation of China (No. nyhyzx07-035 ), National Natural Science Foundation of China (No. 30871774 ) The Earmarked Fund for Modern Agro-industry Technology Research System, Waltham Center for Pet Nutrition, Cornell Advanced Technology in Biotechnology , and the Collaborative Research Grant Program, Department of Clinical Sciences, and the Baker Institute for Animal Health in the College of Veterinary Medicine, Cornell University . The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


  • Breeding value
  • Canine hip dysplasia
  • GWAS
  • Genomic prediction
  • QTL


Dive into the research topics of 'Canine hip dysplasia is predictable by genotyping'. Together they form a unique fingerprint.

Cite this