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评估基因组选择对拉布拉多猎犬髋关节发育不良的影响。

Assessing the impact of genomic selection against hip dysplasia in the Labrador Retriever dog.

作者信息

Sánchez-Molano E, Woolliams J A, Blott S C, Wiener P

机构信息

The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.

出版信息

J Anim Breed Genet. 2014 Apr;131(2):134-45. doi: 10.1111/jbg.12056. Epub 2013 Oct 18.

Abstract

Many purebred dogs exhibit a higher prevalence of inherited diseases compared with non-purebred dogs. One of the most popular breeds in the UK is the Labrador Retriever, which has a high prevalence of hip dysplasia resulting in high costs for surgical operations and impaired animal welfare. Considering the many complications of highly managed populations, mainly due to breeder's conventions and the resulting population structure, is of great importance for the proper development of a strategy against the disease. In this study, we have compared the utilities and performances of both genomic and phenotypic selection against hip dysplasia in a simulated population with the characteristics of the British Veterinary Association and Kennel Club (BV /KC) hip dysplasia scheme. The results confirm the potential benefits of genomic selection by showing a moderate increase of 1.15-fold (assuming a realistic accuracy of r(2) = 0.5) in response to selection due to the higher accuracy (between 0.96- and 1.32-fold, considering 0.35 ≤ r(2) ≤ 0.7) and more than a threefold increase when all the offspring in each litter are tested (between 3.25- and 4.55-fold, again considering 0.35 ≤ r(2) ≤ 0.7).

摘要

与非纯种犬相比,许多纯种犬患遗传病的比例更高。英国最受欢迎的犬种之一是拉布拉多寻回犬,其髋关节发育不良的患病率很高,导致手术成本高昂,动物福利受损。考虑到高度管理的犬群存在许多并发症,主要是由于繁殖者的惯例和由此产生的种群结构,这对于制定防治该疾病的适当策略至关重要。在本研究中,我们在一个具有英国兽医协会和养犬俱乐部(BV/KC)髋关节发育不良计划特征的模拟种群中,比较了基因组选择和表型选择对髋关节发育不良的效用和性能。结果证实了基因组选择的潜在益处,即由于更高的准确性(考虑到0.35≤r²≤0.7,准确性在0.96至1.32倍之间),选择反应适度增加1.15倍(假设r² = 0.5的实际准确性),当每窝所有后代都进行测试时,增加超过三倍(同样考虑0.35≤r²≤0.7,在3.25至4.55倍之间)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1795/4166706/ee4541c3d60c/jbg0131-0134-f1.jpg

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