Canine hip dysplasia is predictable by genotyping

Area of Science:

• Genomics
• Veterinary Medicine
• Animal Genetics

Background:

• Canine hip dysplasia (CHD) is a common orthopedic condition leading to osteoarthritis.
• Early detection and intervention are crucial for managing CHD and preventing secondary osteoarthritis.
• Current screening methods rely on radiographic assessment at maturity.

Purpose of the Study:

• To develop a predictive method for canine hip dysplasia (CHD) using whole genome genotyping.
• To enable early risk management and selective breeding for CHD.
• To prevent the progression of secondary osteoarthritis (OA) in dogs.

Main Methods:

• Genotyping of two dog sets (six breeds) using dense single nucleotide polymorphisms (SNPs) across the genome.
• Derivation of a predictive formula for genomic breeding value (GBV) for the Norberg angle (CHD indicator) using estimated breeding values (EBV) and genotypes.
• Cross-validation and independent validation using genomic data and EBV.

Main Results:

• Cross-validation showed a strong correlation (R>0.7) between EBV and GBV.
• Independent validation demonstrated a moderate correlation (R=0.5) between GBV and observed Norberg angle.
• Genomic data achieved sensitivity, specificity, and predictive values above 70%.

Conclusions:

• Genomic prediction of CHD is feasible and effective.
• This approach allows for early intervention and risk management.
• Implementation in breeding programs can reduce CHD prevalence before dogs reach maturity.