Evaluation of Bovine High-Density SNP Genotyping Array in Indigenous Dairy Cattle Breeds

In total 52 samples of Sahiwal (19 Excoffier L, Laval G, Schneider S. Arlequin 3.01: An integrated software package for population genetics data analysis. Evol Bioinform Online 2005; 1:47–50.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]), Tharparkar (17 Hayes BJ, Bowman PJ, Chamberlain, AJ, Goddard ME. Invited review: genomic selection in dairy cattle: progress and challenges. J Dairy Sci 2009; 92:433–443.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]), and Gir (16 Melka HD, Jeon EK, Kim SW, Han JB, Yoon D, Kim KS. Identification of genomic differences between Hanwoo and Holstein breeds using the Illumina Bovine SNP50 BeadChip. Genomics Inform 2011; 9:69–73.[Crossref] , [Google Scholar]) were genotyped by using BovineHD SNP chip to analyze minor allele frequency (MAF), genetic diversity, and linkage disequilibrium among these cattle. The common SNPs of BovineHD and 54K SNP Chips were also extracted and evaluated for their performance. Only 40%?50% SNPs of these arrays was found informative for genetic analysis in these cattle breeds. The overall mean of MAF for SNPs of BovineHD SNPChip was 0.248?±?0.006, 0.241?±?0.007, and 0.242?±?0.009 in Sahiwal, Tharparkar and Gir, respectively, while that for 54K SNPs was on lower side. The average Reynold’s genetic distance between breeds ranged from 0.042 to 0.055 based on BovineHD Beadchip, and from 0.052 to 0.084 based on 54K SNP Chip. The estimates of genetic diversity based on HD and 54K chips were almost same and, hence, low density chip seems to be good enough to decipher genetic diversity of these cattle breeds. The linkage disequilibrium started decaying (r²?