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A genome‐wide association study using selective DNA pooling identifies candidate markers for fertility in Holstein cattle
Author(s) -
Huang W.,
Kirkpatrick B. W.,
Rosa G. J. M.,
Khatib H.
Publication year - 2010
Publication title -
animal genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 81
eISSN - 1365-2052
pISSN - 0268-9146
DOI - 10.1111/j.1365-2052.2010.02046.x
Subject(s) - biology , genotyping , single nucleotide polymorphism , genetics , snp genotyping , genome wide association study , bovine genome , genetic association , pooling , snp , genome , genotype , gene , artificial intelligence , computer science
Summary The decline in the reproductive efficiency of dairy cows, especially those with high producing potential, has become a challenging problem. In this study, a selective DNA pooling approach was applied to a cow population whose oocytes were fertilized and cultured to obtain phenotypic records of fertilization rate and blastocyst rate. Using a stringent 5% genome‐wide significance level, 22 and five single nucleotide polymorphisms (SNPs) were found to be associated with fertilization rate and blastocyst rate, respectively. SNPs that showed significant association in selective DNA pooling were further evaluated by individual genotyping. Interestingly, the majority of the SNP associations were confirmed by individual genotyping, testifying to the effectiveness of selective DNA pooling using a high‐density SNP genotyping array. This study is the first application of the selective DNA pooling approach using the BovineSNP50 array in cattle.