基于不同的软件和归算策略的霍尔斯坦牛的X染色体变异的基因型归算准确性
Tatiana C de Souza1, Luis F B Pinto1, Valdecy A R da Cruz2
1Department of Animal Sciences, Federal University of Bahia, Salvador, BA, 40170-110, Brazil; Department of Animal Sciences, Purdue University, West Lafayette, IN 47907.
Journal of dairy science
|September 20, 2025
概括
在荷尔斯坦牛群中精确归算X染色体变异需要仔细选择归算软件和更大的参考种群. Minimac通常表现优于FindHap,尤其是在数据集中包括两种性别时.
科学领域:
- 基因组学和生物信息学
- 动物育种与遗传学
- 统计遗传学 统计遗传学
背景情况:
- X染色体是牛基因组的重要组成部分,但其变异归因仍然未得到充分研究.
- 准确的基因型归算对于基因组选择和了解牛群的遗传变异至关重要.
研究的目的:
- 通过使用各种归算策略,评估牛X染色体上单核酸多态 (SNP) 的归算精度.
- 为了比较两个归算软件工具的性能,Minimac和FindHap,用于X染色体变异归算.
主要方法:
- 利用了2,505头荷尔斯坦牛的数据,从中密度 (MD) 到高密度 (HD) 的SNP面板执行了两步的归算过程.
- 评估了自体,整个X染色体和伪自体 (PAR) 和非PAR区域的六种归算场景,比较了Minimac和FindHap.
- 使用基相关性 (R) 和基因型一致率 (CR) 评估归算准确性,使用不同的参考和验证人群组成.
主要成果:
- 与FindHap (R低至0.66,CR低至80.3) 相比,Minimac在大多数场景中通常实现了更高的归算精度 (R>0.93,CR>95.0).
- 在特定场景 (S3,S6) 中,FindHap显示了更好的准确性,特别是在非PAR地区.
- 在参考和验证人群中包括男性和女性,显著提高了X染色体变异归算的准确性.
结论:
- 计算软件的选择 (建议使用Minimac) 对于对荷尔斯坦牛的X染色体变异进行准确的计算至关重要.
- 扩大参考种群规模和多样性,特别是包括两性,对于提高基因型归算准确性至关重要.
- 这项研究为优化牛X染色体的基因组归算策略提供了宝贵的见解.
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