• Asian-Australasian Journal of Animal Sciences
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• v.23 no.10
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• pp.1261-1267
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• 2010

Milk production traits are important economic traits for dairy cattle. The aim of the present study was to refine the position of previously detected quantitative trait loci (QTL) on bovine chromosome 6 affecting milk production traits in Chinese Holstein dairy cattle. A daughter design with 918 daughters from 8 elite sire families and 14 markers spanning the previously identified QTL region were used in the analysis. We employed a combined linkage and linkage disequilibrium analysis (LDLA) approach with two options for calculating the IBD probabilities, one was based on haplotypes of all 14 markers (named Method 1) and the other based on haplotypes with sliding windows of 5 markers (named Method 2). For milk fat yield, the two methods revealed a highly significant QTL located within a 6.5 cM interval (Method 1) and a 4.0 cM interval (Method 2), respectively. For milk protein yield, a highly significant QTL was detected within a 3.0 cM interval (Method 1) or a 2.5 cM interval (Method 2). These results confirmed the findings of our previous study and other studies, and greatly narrowed down the QTL positions.

• Asian-Australasian Journal of Animal Sciences
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• v.28 no.7
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• pp.926-935
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• 2015

The efficiency of genome-wide association analysis (GWAS) depends on power of detection for quantitative trait loci (QTL) and precision for QTL mapping. In this study, three different strategies for GWAS were applied to detect QTL for carcass quality traits in the Korean cattle, Hanwoo; a linkage disequilibrium single locus regression method (LDRM), a combined linkage and linkage disequilibrium analysis (LDLA) and a $BayesC{\pi}$ approach. The phenotypes of 486 steers were collected for weaning weight (WWT), yearling weight (YWT), carcass weight (CWT), backfat thickness (BFT), longissimus dorsi muscle area, and marbling score (Marb). Also the genotype data for the steers and their sires were scored with the Illumina bovine 50K single nucleotide polymorphism (SNP) chips. For the two former GWAS methods, threshold values were set at false discovery rate <0.01 on a chromosome-wide level, while a cut-off threshold value was set in the latter model, such that the top five windows, each of which comprised 10 adjacent SNPs, were chosen with significant variation for the phenotype. Four major additive QTL from these three methods had high concordance found in 64.1 to 64.9Mb for Bos taurus autosome (BTA) 7 for WWT, 24.3 to 25.4Mb for BTA14 for CWT, 0.5 to 1.5Mb for BTA6 for BFT and 26.3 to 33.4Mb for BTA29 for BFT. Several candidate genes (i.e. glutamate receptor, ionotropic, ampa 1 [GRIA1], family with sequence similarity 110, member B [FAM110B], and thymocyte selection-associated high mobility group box [TOX]) may be identified close to these QTL. Our result suggests that the use of different linkage disequilibrium mapping approaches can provide more reliable chromosome regions to further pinpoint DNA makers or causative genes in these regions.

• Journal of Life Science
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• v.24 no.11
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• pp.1168-1173
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• 2014

The homogentisate 1,2-dioxygenase (HGD) gene, which consists of 14 exons and spans approximately 42630bp on Bos taurus autosome 1 (BTA 1), is one of the six enzymes required for catabolism of the aromatic amino acids tyrosine and phenylalanine. It has been reported that BTA1 harbors quantitative trait loci that effect marbling score (MS), carcass weight (CW), and longissimus muscle area (LMA) in cattle. The aim of this study was to identify the single nucleotide polymorphisms (SNPs) in the HGD gene and to analyze their association with economic traits in Korean cattle (Hanwoo). Genetic polymorphisms were screened by direct sequencing, which detected 10 SNPs (T11187C, T11301A, T11398G, G29833A, G34256T, G34257C, T34284C, T42333G, T42348C, and T42468C). Six polymorphic sites were selected for genotyping, and economic traits were analyzed using a general linear model in Korean cattle (n=90). The observed genotype frequencies for G34256T were 0.5843(GG), 0.3708(GT), and 0.0449(TT). In addition, 0.3596(GG), 0.3708(GC), and 0.2697(CC) were observed for the G34257C mutation. Statistical association analysis revealed that G34256T polymorphisms were significantly associated with MS, and G34257C polymorphisms were significantly associated with MS and LMA (p<0.05). Further study is needed in order to use the genetic variant as a marker for marker-assisted selection in Korean cattle.