Linkage Disequilibrium Estimation of Chinese Beef Simmental Cattle Using High-density SNP Panels

• Published in: Animal bioscience Vol. 26; no. 6; pp. 772 - 779
• Main Authors: Zhu, M, Zhu, B, Wang, Y H, Wu, Y, Xu, L, Guo, L P, Yuan, Z R, Zhang, L P, Gao, X, Gao, H J, Xu, S Z, Li, J Y
• Format: Journal Article
• Language: English
• Published: Korea (South) Asian - Australasian Association of Animal Production Societies 01.06.2013; Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST); Asian-Australasian Association of Animal Production Societies; 아세아·태평양축산학회
• Subjects: Beef cattle; Bovine Genome; Chinese Beef Simmental Cattle; Effective Population Size; Genetic aspects; Linkage Disequilibrium; Population genetics; Quantitative genetics; Quantitative trait loci; Single Nucleotide Polymorphisms; 축산학; China; Bovine Genome; Single Nucleotide Polymorphisms; Effective Population Size; Chinese Beef Simmental Cattle; Linkage Disequilibrium
• ISSN: 1011-2367; 2765-0189; 1976-5517; 2765-0235
• DOI: 10.5713/ajas.2012.12721

Linkage disequilibrium (LD) plays an important role in genomic selection and mapping quantitative trait loci (QTL). In this study, the pattern of LD and effective population size (Ne ) were investigated in Chinese beef Simmental cattle. A total of 640 bulls were genotyped with IlluminaBovinSNP50BeadChip and IlluminaBovinHDBeadChip. We estimated LD for each autosomal chromosome at the distance between two random SNPs of <0 to 25 kb, 25 to 50 kb, 50 to 100 kb, 100 to 500 kb, 0.5 to 1 Mb, 1 to 5 Mb and 5 to 10 Mb. The mean values of r(2) were 0.30, 0.16 and 0.08, when the separation between SNPs ranged from 0 to 25 kb to 50 to 100 kb and then to 0.5 to 1 Mb, respectively. The LD estimates decreased as the distance increased in SNP pairs, and increased with the increase of minor allelic frequency (MAF) and with the decrease of sample sizes. Estimates of effective population size for Chinese beef Simmental cattle decreased in the past generations and Ne was 73 at five generations ago.