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荷斯坦公牛体细胞计数的全基因组扫描

Genome wide scan for somatic cell counts in holstein bulls.

作者信息

Minozzi Giulietta, Nicolazzi Ezequiel L, Strozzi Francesco, Stella Alessandra, Negrini Riccardo, Ajmone-Marsan Paolo, Williams John L

机构信息

Parco Tecnologico Padano, Via Einstein, Polo Universitario, Lodi 26900, Italy.

出版信息

BMC Proc. 2011 Jun 3;5 Suppl 4(Suppl 4):S17. doi: 10.1186/1753-6561-5-S4-S17.

DOI:10.1186/1753-6561-5-S4-S17
PMID:21645296
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3108211/
Abstract

BACKGROUND

Mastitis is the most costly disease for dairy production, and control of the disease is often difficult, due to its multi-factorial nature. Susceptibility to mastitis is under partial genetic control and the industry uses indirect selection for decreased concentrations of somatic cells in milk to reduce mastitis.

METHODS

A genome-wide scan was performed to identify genomic regions associated with deregressed estimated breeding values (EBVs) for somatic cell counts (SCC) in Holstein bulls. In total 1183 proven bulls of the Italian of Holstein population, were genotyped with the BovineSNP50 BeadChip (Illumina, San Diego, CA) and a whole genome association analysis was performed using the R package GenABEL.

RESULTS

Two chromosomal regions showed association with SCC, a region on chromosome 14 with high significance (P < 5x10-6) and a region on chromosome 6 with moderate significance (P < 5x10-5).

CONCLUSIONS

Two regions with effects on SCC have been identified with good statistical support. A further study of these candidate regions will be performed to verify the results and identify the causal mutations.

摘要

背景

乳腺炎是奶牛生产中代价最高的疾病,由于其多因素性质,该病的控制往往很困难。乳腺炎易感性受部分基因控制,该行业通过间接选择降低牛奶中体细胞浓度来减少乳腺炎。

方法

进行全基因组扫描,以确定与荷斯坦公牛体细胞计数(SCC)的去回归估计育种值(EBV)相关的基因组区域。对意大利荷斯坦种群的总共1183头经证实的公牛,使用牛50K单核苷酸多态性(SNP)芯片(Illumina公司,加利福尼亚州圣地亚哥)进行基因分型,并使用R包GenABEL进行全基因组关联分析。

结果

两个染色体区域显示与SCC相关,一个位于14号染色体上的区域具有高度显著性(P < 5×10⁻⁶),另一个位于6号染色体上的区域具有中度显著性(P < 5×10⁻⁵)。

结论

已确定两个对SCC有影响的区域,并得到了良好的统计学支持。将对这些候选区域进行进一步研究,以验证结果并确定因果突变。

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