全球祖先和地方祖先推断的策略
Bilcag Akgun1, Farid Rajabli1,2
1John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida.
Current protocols
|February 6, 2026
概括
本指南阐明了全球 (GA) 和地方 (LA) 祖先的遗传祖先推断概念和方法. 它为研究混合种群的研究人员提供了实用的协议和工具选择建议.
科学领域:
- 人口遗传学 人口遗传学
- 医学遗传学 医学遗传学
- 基因组数据分析 基因组数据分析
背景情况:
- 遗传祖先推断对于人口和医学遗传学至关重要,特别是在混合种群中.
- 准确的全球祖先 (GA) 和地方祖先 (LA) 确定需要谨慎的方法和参考面板选择.
研究的目的:
- 为遗传祖先推断提供一个实用,以协议为导向的指南.
- 澄清关键概念,组织方法,并为GA和LA提供工具选择指导.
- 促进各种研究设计和数据集的适当祖先推断方法的选择和实施.
主要方法:
- 将有组织的方法分为基于模型的聚类和GA的维度减小.
- 详细的隐藏马尔科夫模型,机器学习和深度学习框架为LA.
- 为ADMIXTURE (GA) 和SHAPEIT5 + RFMix (LA) 管道提供了逐步的协议.
主要成果:
- 为GA和LA提供了关于工具选择的简短指南.
- 包括对基因型阵列和全基因组测序数据的实际考虑.
- 讨论了质量控制,方法验证和下游应用.
结论:
- 讨论了当前的挑战,并强调了祖先推断的最新进展,包括人工智能模型和改进的分阶段.
- 旨在使研究人员能够自信地选择和应用祖先推断技术.
- 强调了适合各种遗传研究的适当方法的重要性.
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