相关实验视频
Updated: Jan 20, 2026
08:23
SNP Genotyping and GWAS
Published on: April 30, 2023
76.2K
在封闭的肉牛种群中对SNP标记物进行基因组预测的优先考虑
1USDA Agricultural Research Service, Fort Keogh Livestock and Range Research Laboratory, Miles City, MT, 59301, United States.
Translational animal science
|January 19, 2026
概括
优化单核酸多态 (SNP) 标志物选择可以改善牛的繁殖值 (GEBV) 的基因组预测. 然而,准确度的增长是特定于所使用的人口,特征和预测模型.
科学领域:
- 动物遗传学动物遗传学
- 量化遗传学 量化遗传学
- 基因组预测 基因组预测
背景情况:
- 高通量技术提供了丰富的基因组数据,包括整个基因组序列和密集的单核酸多态 (SNP) 面板.
- 尽管基因组信息增加了,但基因组估计繁殖值 (GEBV) 的预测准确性并没有显著改善.
- 优化信息性SNP标记的选择对于有效利用庞大的基因组数据集至关重要.
研究的目的:
- 评估两个封闭的肉牛群体中生长特征的基因组预测.
- 评估SNP优先级技术对预测准确性的影响.
- 调查人口结构对GEBV预测的影响.
主要方法:
- 基因组预测在两个肉牛种群上进行:第1线赫里福德 (n=1192) 和复合品种 (n=2776).
- 基于SNP优先级的方法包括固定指数 (Fst) 和全基因组关联研究 (GWAS) 的SNP标记效应.
- 用优先级SNP的子集和加权G矩阵来评估预测准确性.
主要成果:
- 使用优先级SNP子集提高了对线1赫雷福德人群所有三种增长特征的预测准确度.
- 基于Fst和SNP效应的加权G矩阵没有改善,有时甚至降低了预测准确性.
- 与复合种群相比,同血统1线赫雷福德种群的预测准确性更高.
结论:
- SNP优先级可以提高GEBV预测的准确性,但它的有效性是特定于种群,特征和模型的.
- 人口结构显著影响GEBV预测的准确性.
- 需要进一步的研究来优化SNP选择策略,以适应不同牛种群和特征.
相关概念视频
SNP Genotyping
76.2K
Single nucleotide polymorphisms, or SNPs, are the most common form of genetic variation in humans. These differences at individual bases in the DNA often do not directly affect gene expression, but in many cases can still be useful for locating disease-associated genes or for diagnosing patients. Numerous methodologies have been established to identify, or “genotype”, SNPs.JoVE’s introduction to SNP Genotyping begins by discussing what SNPs are and how they can be used to...
76.2K
12:08The Use of Traditional Fear Tests to Evaluate Different Emotional Circuits in Cattle
9.1K
Here, we present a protocol to conduct a variety of behavioral tests in cattle that have been designed to evaluate emotions. A battery of behavioral tests (open field test, startle test, bovine zero maze, exit velocity, pen score, and chute score) were conducted to evaluate different components of animal...
9.1K
08:45Whole Genome Sequencing of Candida glabrata for Detection of Markers of Antifungal Drug Resistance
14.2K
This study implemented whole genome sequencing for analysis of mutations in genes conferring antifungal drug resistance in Candida glabrata. C. glabrata isolates resistant to echinocandins, azoles and 5-flucytosine, were sequenced to illustrate the methodology. Susceptibility profiles of the isolates correlated with presence or absence of specific mutation patterns in...
14.2K
08:03Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
2.7K
This analytical computational platform provides practical guidance for microbiologists, ecologists, and epidemiologists interested in bacterial population genomics. Specifically, the work presented here demonstrated how to perform: i) phylogeny-guided mapping of hierarchical genotypes; ii) frequency-based analysis of genotypes; iii) kinship and clonality analyses; iv) identification of lineage differentiating accessory...
2.7K
13:33Infinium Assay for Large-scale SNP Genotyping Applications
39.8K
A protocol is described that uses Illumina's Infinium assays to perform large-scale genotyping. These assays can reliably genotype millions of SNPs across hundreds of individual DNA samples in three days. Once generated, these genotypes can be used to check for associations with a variety of different diseases or...
39.8K
20:36Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
9.1K
Charles Taylor and John Marshall explain the utility of mathematical modeling for evaluating the effectiveness of population replacement strategy. Insight is given into how computational models can provide information on the population dynamics of mosquitoes and the spread of transposable elements through A. gambiae subspecies. The ethical considerations of releasing genetically modified mosquitoes into the wild are...
9.1K

