Quantitative genetics of secondary hip joint osteoarthritis in a Labrador Retriever–Greyhound pedigree

Laurel Hays Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853.

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Zhiwu Zhang Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853.

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 PhD
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Raluca G. Mateescu Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853.

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George Lust Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853.

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Nancy I. Burton-Wurster Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853.

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Rory J. Todhunter Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853.

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 BVSc, PhD
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Abstract

Objective—To evaluate the quantitative inheritance of secondary hip joint osteoarthritis in a canine pedigree.

Animals—137 Labrador Retrievers, Greyhounds, and mixed-breed dogs.

Procedures—Necropsy scores ranging from 0 to 4 were obtained for each hip joint. Seven unaffected Greyhounds with normal hip joint conformation were also used for genetic modeling, but were not euthanized. Sixty-six male and 71 female dogs were allocated to 2 groups (≤ 12 months of age and > 12 months of age). Statistical models were developed to establish the inheritance pattern of hip joint osteoarthritis that developed secondary to hip dysplasia.

Results—62 dogs had evidence of osteoarthritis in a hip joint, and 75 had no evidence of osteoarthritis. After sex was adjusted for, the necropsy score was found to be inherited additively but without dominance. Each Labrador Retriever allele increased the necropsy score by 0.7 to 0.9 points, compared with the Greyhound allele, and male sex increased the necropsy score 0.74 over female sex. Approximately 10% of the variation in necropsy score was attributable to the litter of puppies' origin.

Conclusions and Clinical Relevance—Because secondary hip joint osteoarthritis is inherited additively, selection pressure could be applied to reduce its incidence. Similar statistical models can be used in linkage and association mapping to detect the genes in the underlying quantitative trait loci that contribute to hip joint osteoarthritis.

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