通过对基因组数据的质量控制来加强动物育种 - - 综述
Jungjae Lee1, Jong Hyun Jung2, Sang-Hyon Oh3
1Jenomics Jenetics Company, Pyeongtaek 17869, Korea.
Journal of animal science and technology
|December 18, 2024
概括
严格的质量控制 (QC) 对于动物育种中准确的基因组数据至关重要. 实施强有力的质量控制措施可确保可靠的基因组预测和成功的育种计划.
科学领域:
- 动物遗传学动物遗传学
- 基因组选择 基因组选择
- 量化遗传学 量化遗传学
背景情况:
- 高通量基因型和测序产生了大量的基因组数据用于动物育种.
- 基因组选择利用密集的标记信息进行精确的特征选择,提高遗传收益.
- 数据准确性对于基因组选择和育种计划的成功至关重要.
研究的目的:
- 审查动物育种中基因组数据的质量控制 (QC) 策略.
- 强调QC在基因组选择,全基因组关联研究 (GWAS) 和种群遗传学中的应用.
- 突出数据完整性在推进动物育种实践中的关键作用.
主要方法:
- 对基因组数据的已建立的QC协议的审查.
- 检查管理单核酸多态 (SNP) 质量,呼叫率,小等位基频率 (MAF) 和哈迪-韦恩伯格平衡 (HWE) 的方法.
- 对低密度平台的基因型归算进行讨论.
主要成果:
- 不准确的基因组数据导致错误的预测,并损害了育种计划.
- 严格的质量控制对于可靠估计育种价值和成功的基因组选择至关重要.
- 有效的质量控制确保了GWAS和人口遗传学数据的准确性和可靠性.
结论:
- 强大的质量控制措施对于最大限度地利用基因组数据在畜牧业中的好处是不可或缺的.
- 通过QC数据完整性提高了基因组预测的可靠性.
- 遵守质量控制策略对于推进动物育种实践和实现期望的遗传结果至关重要.
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