Canine hip dysplasia is predictable by genotyping.

Canine hip dysplasia is predictable by genotyping.
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DOI:
10.1016/j.joca.2010.12.011
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发表时间:
2011-04
影响因子:
7
通讯作者:
Zhang, Z.
Zhang, Z.
中科院分区:
医学2区
文献类型:
--
作者:
Guo, G.;Zhou, Z.;Wang, Y.;Zhao, K.;Zhu, L.;Lust, G.;Hunter, L.;Friedenberg, S.;Li, J.;Zhang, Y.;Harris, S.;Jones, P.;Sandler, J.;Krotscheck, U.;Todhunter, R.;Zhang, Z.

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建立一种利用全基因组基因分型的预测方法,用于犬髋关节发育不良(CHD)风险管理的早期干预、预防继发性骨关节炎(OA)的进展以及选择性育种。对两组狗(6 个品种)进行了基因分型,其密集的 SNP 覆盖了整个犬类基因组。第一组包含 359 只狗,通过使用诺伯格角(CHD 的衡量标准)的估计育种值 (EBV) 及其基因型,推导出基因组育种值 (GBV) 的预测公式。为了研究该配方对仅具有基因型的个体狗(不使用 EBV 或表型)的效果如何,通过一次屏蔽一只狗的 EBV 进行交叉验证。剩下的狗的基因组数据和 EBV 用于预测被排除的单只狗的 GBV。第二组狗包括38只新拉布拉多猎犬,它们与第一组狗没有血统关系。交叉验证显示 EBV 和 GBV 之间存在很强的相关性 (r>0.7)。独立验证显示 Norberg 角的 GBV 与观察到的 Norberg 角之间存在很强的相关性 (r=0.5)(新 38 只狗没有可用的 EBV)。基因组数据的敏感性、特异性、阳性和阴性预测值均在70%以上。从基因组数据预测冠心病是可行的,可用于冠心病的风险管理和遗传改良的早期选择,以降低育种计划中冠心病的患病率。该预测可以在成熟之前实施,在该年龄,传统上应用当前的放射线照相筛查程序,并且一旦 DNA 可用。
To establish a predictive method using whole genome genotyping for early intervention in canine hip dysplasia (CHD) risk management, for the prevention of the progression of secondary osteoarthritis (OA), and for selective breeding. Two sets of dogs (6 breeds) were genotyped with dense SNPs covering the entire canine genome. The first set contained 359 dogs upon which a predictive formula for genomic breeding value (GBV) was derived by using their estimated breeding value (EBV) of the Norberg angle (a measure of CHD) and their genotypes. To investigate how well the formula would work for an individual dog with genotype only (without using EBV or phenotype), a cross validation was performed by masking the EBV of one dog at a time. The genomic data and the EBV of the remaining dogs were used to predict the GBV for the single dog that was left out. The second set of dogs included 38 new Labrador retriever dogs, which had no pedigree relationship to the dogs in the first set. The cross validation showed a strong correlation (r>0.7) between the EBV and the GBV. The independent validation showed a strong correlation (r=0.5) between GBV for the Norberg angle and the observed Norberg angle (no EBV was available for the new 38 dogs). Sensitivity, specificity, positive, and negative predictive value of the genomic data were all above 70%. Prediction of CHD from genomic data is feasible, and can be applied for risk management of CHD and early selection for genetic improvement to reduce the prevalence of CHD in breeding programs. The prediction can be implemented before maturity, at which age current radiographic screening programs are traditionally applied, and as soon as DNA is available.
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