斯塔福德郡牛头梗双棘虫病的基因组分析和基因组价值预测。

Dina Jørgensen, Ernst-Otto Ropstad, Theodorus Meuwissen, Frode Lingaas
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引用次数: 1

摘要

背景:双眼皮病是一种以沿眼睑边缘的毛发异常为特征的疾病。症状通常很轻微,但严重时可导致角膜溃疡和病变。这是挪威斯塔福德郡斗牛犬(SBT)最常见的眼部疾病,在成年人群中患病率超过18%。一个复杂的遗传假设,但有稀疏的知识,遗传背景的双支病在狗。我们在SBT中进行了双蝶病的全基因组关联研究,并使用基因组数据试图预测该疾病的基因组值。结果:通过混合线性模型关联分析和贝叶斯混合模型分析,确定了CFA1、CFA18、CFA32和CFA34的4个遗传区域。使用GBLUP和贝叶斯方法BayesR预测基因组值。基因组预测显示,与四分之一(四分之一)最不可能获得该疾病的狗相比,具有预测值的四分之一最有可能获得双支气管炎的狗患双支气管炎的风险高出3.9 -4.0倍。两种方法间无显著差异。结论:在关联分析中发现了4个与双束蝶病相关的基因组区域,提示SBT双束蝶病是一种涉及多个位点的复杂性状。这四个相关区域需要在一个独立的样本中进行确认。我们还使用了所有的95个K snp进行基因组预测,并表明基因组预测可以成为一个有用的工具,在品种水平的选择性育种计划中,旨在减少未来单犬双支虫病的患病率,即使单犬的预测值可能很低。
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Genomic analysis and prediction of genomic values for distichiasis in Staffordshire bull terriers.

Background: Distichiasis is a condition characterized by aberrant hairs along the eyelid margins. The symptoms are usually mild but can lead to ulcerations and lesions of the cornea in severe cases. It is the most frequently noted ocular disorder in Norwegian Staffordshire bull terriers (SBT), with a prevalence above 18% in the adult population. A complex inheritance is assumed, but there is sparse knowledge about the genetic background of distichiasis in dogs. We have performed a genome-wide association study of distichiasis in SBT and used genomic data in an attempt to predict genomic values for the disorder.

Results: We identified four genetic regions on CFA1, CFA18, CFA32 and CFA34 using a mixed linear model association analysis and a Bayesian mixed model analysis. Genomic values were predicted using GBLUP and a Bayesian approach, BayesR. The genomic prediction showed that the 1/4 of dogs with predicted values most likely to acquire distichiasis had a 3.9 -4.0 times higher risk of developing distichiasis compared to the quarter (1/4) of dogs least likely to acquire the disease. There was no significant difference between the two methods used.

Conclusion: Four genomic regions associated with distichiasis were discovered in the association analysis, suggesting that distichiasis in SBT is a complex trait involving numerous loci. The four associated regions need to be confirmed in an independent sample. We also used all 95 K SNPs for genomic prediction and showed that genomic prediction can be a helpful tool in selective breeding schemes at breed level aiming at reducing the prevalence of distichiasis in SBTs in the future, even if the predictive value of single dogs may be low.

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