Quantitative trait loci mapping for canine hip dysplasia and its related traits in UK Labrador Retrievers - PubMed (original) (raw)
Quantitative trait loci mapping for canine hip dysplasia and its related traits in UK Labrador Retrievers
Enrique Sánchez-Molano et al. BMC Genomics. 2014.
Abstract
Background: Canine hip dysplasia (CHD) is characterised by a malformation of the hip joint, leading to osteoarthritis and lameness. Current breeding schemes against CHD have resulted in measurable but moderate responses. The application of marker-assisted selection, incorporating specific markers associated with the disease, or genomic selection, incorporating genome-wide markers, has the potential to dramatically improve results of breeding schemes. Our aims were to identify regions associated with hip dysplasia or its related traits using genome and chromosome-wide analysis, study the linkage disequilibrium (LD) in these regions and provide plausible gene candidates. This study is focused on the UK Labrador Retriever population, which has a high prevalence of the disease and participates in a recording program led by the British Veterinary Association (BVA) and The Kennel Club (KC).
Results: Two genome-wide and several chromosome-wide QTLs affecting CHD and its related traits were identified, indicating regions related to hip dysplasia.
Conclusion: Consistent with previous studies, the genetic architecture of CHD appears to be based on many genes with small or moderate effect, suggesting that genomic selection rather than marker-assisted selection may be an appropriate strategy for reducing this disease.
Figures
Figure 1
Effect of the age at scoring on transformed hip score (THS). The red trend line corresponds to a quadratic Loess regression.
Figure 2
GWAS analysis for the Norberg Angle right. The genome-wide threshold (red line) corresponds to the Bonferroni correction for a nominal P-value = 0.05.
Figure 3
GWAS analysis for the CrAE total. The genome-wide threshold (red line) corresponds to the Bonferroni correction for a nominal P-value = 0.05.
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