亲属关系估计偏差转移到使用方差元件的遗传性估计偏差
Zhuoran Hou1,2, Alejandro Ochoa1,2
1Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27705, USA.
Genetics
|November 8, 2025
概括
在遗传学研究中使用的标准亲属关系估计器可以在结构化人群中产生偏见的遗传性估计. 波普金估计器是唯一一种在这些环境中提供无偏的遗传概率估计的方法.
科学领域:
- 人口遗传学 人口遗传学
- 量化遗传学 量化遗传学
- 统计基因组学 统计基因组学
背景情况:
- 遗传性估计对于理解对特征和疾病的遗传贡献至关重要.
- 差异组件模型依赖于亲属矩阵来估计遗传性.
- 像GCTA这样的标准亲属关系估计器在结构化人群中可能具有偏见.
研究的目的:
- 在结构化群体中因亲属关系估计错误而产生的GCTA中的遗传性估计偏差的特征.
- 在人口结构下评估不同亲缘关系估计器的表现.
主要方法:
- 在平均值比率 (ROM) 估计器中,用于遗传性偏差的封闭式表达式的导出.
- 使用混合物和家族结构与1000个基因组基因型的模拟研究.
- 从三个结构化的队列中分析现实世界的表型数据.
主要成果:
- 标准平均比率 (MOR) 估计器表现出因与ROM共享的因素以及低频变异的额外偏差而导致的偏差.
- 波普金估计器在模拟和真实结构化数据集之间展示了无偏的遗传性估计.
- 仅以血统为基础的估计显示,结构化人群中遗传性偏差呈上升趋势.
- 根据人口结构和变异频率,MOR估计器产生了可变偏差 (向下或向上).
结论:
- 共同亲属关系估计器在结构化人口的遗传性估计中引入了显著的偏差.
- 波普金估计器是一种可靠的替代方法,可以在存在人口结构的情况下进行公正的遗传性估计.
- 准确的亲属关系估计对于在不同人群中有效的遗传性推断至关重要.
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