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技术说明:使用单一品种基因型面板进行猪品种纯度分析的异常检测

Technical note: anomaly detection for breed purity analysis in pigs using a single breed genotype panel.

作者信息

Jiang Xiaohan, Putz Austin, Huang Wen, Steibel Juan P

机构信息

Bioinformatic and Computational Biology Program, Department of Animal Science, Iowa State University, Ames, IA 50011, USA.

Hendrix Genetics, Boxmeer, 5831CK, The Netherlands.

出版信息

J Anim Sci. 2025 Jan 4;103. doi: 10.1093/jas/skaf083.

Abstract

Recent advancements in genotyping technologies have revolutionized our ability to estimate breed composition in pigs. The classical compositional regression used for this purpose requires a multibreed panel to detect crossbreeding and its application is limited to breeds in the panel. Some breed entities may not have access to the multibreed panel but may have access to a single breed panel. We present crossbreeding detection methods based on semi-supervised anomaly detection techniques that use a single-breed genotype panel from purebred animals of interest. By utilizing these methods, we identified and assessed breed outliers within large pig genotype panels.

摘要

基因分型技术的最新进展彻底改变了我们估计猪品种组成的能力。用于此目的的经典成分回归需要一个多品种面板来检测杂交,并且其应用仅限于面板中的品种。一些品种实体可能无法获得多品种面板,但可能可以获得单一品种面板。我们提出了基于半监督异常检测技术的杂交检测方法,该技术使用来自感兴趣的纯种动物的单一品种基因型面板。通过使用这些方法,我们在大型猪基因型面板中识别并评估了品种异常值。

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Estimation of genome-wide and locus-specific breed composition in pigs.猪全基因组和位点特异性品种组成的估计。
Transl Anim Sci. 2017 Feb 1;1(1):36-44. doi: 10.2527/tas2016.0003. eCollection 2017 Feb.
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