ArticleAsian-Australasian journal of animal sciences2015
Whole Genome Association Study to Detect Single Nucleotide Polymorphisms for Behavior in Sapsaree Dog (Canis familiaris).
Article in Asian-Australasian journal of animal sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Genomic prediction and genome-wide association studies of morphological traits and distraction index in Korean Sapsaree dogs.PloS one · 2024Article
- CyberGenomics: Application of Behavioral Genetics in Cybersecurity.Behavioral sciences (Basel, Switzerland) · 2021Review
- Genetic diversity and population structure of the Sapsaree, a native Korean dog breed.BMC genetics · 2019Article
- Genetic mapping of canine fear and aggression.BMC genomics · 2016Article
- Whole-transcriptome analyses of the Sapsaree, a Korean natural monument, before and after exercise-induced stress.Journal of animal science and technology · 2016Article
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4 authors.
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Abstract
The purpose of this study was to characterize genetic architecture of behavior patterns in Sapsaree dogs. The breed population (n = 8,256) has been constructed since 1990 over 12 generations and managed at the Sapsaree Breeding Research Institute, Gyeongsan, Korea. Seven behavioral traits were investigated for 882 individuals. The traits were classified as a quantitative or a categorical group, and heritabilities (h(2)) and variance components were estimated under the Animal model using ASREML 2.0 software program. In general, the h(2) estimates of the traits ranged between 0.00 and 0.16. Strong genetic (r G ) and phenotypic (r P ) correlations were observed between nerve stability, affability and adaptability, i.e. 0.9 to 0.94 and 0.46 to 0.68, respectively. To detect significant single nucleotide polymorphism (SNP) for the behavioral traits, a total of 134 and 60 samples were genotyped using the Illumina 22K CanineSNP20 and 170K CanineHD bead chips, respectively. Two datasets comprising 60 (Sap60) and 183 (Sap183) samples were analyzed, respectively, of which the latter was based on the SNPs that were embedded on both the 22K and 170K chips. To perform genome-wide association analysis, each SNP was considered with the residuals of each phenotype that were adjusted for sex and year of birth as fixed effects. A least squares based single marker regression analysis was followed by a stepwise regression procedure for the significant SNPs (p<0.01), to determine a best set of SNPs for each trait. A total of 41 SNPs were detected with the Sap183 samples for the behavior traits. The significant SNPs need to be verified using other samples, so as to be utilized to improve behavior traits via marker-assisted selection in the Sapsaree population.
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