亲属对的遗传关系对单变ACE模型性能的影响
Xuanyu Lyu1,2,3, S Mason Garrison1
1Department of Psychology, Wake Forest University, Winston Salem, North Carolina, USA.
概括
增加的遗传相关性和样本大小提高了非传统的ACE模型在检测附加遗传影响方面的能力. 负估计可能表明功率低,不一定是模型故障.
科学领域:
- 行为遗传学 行为遗传学
- 量化遗传学 量化遗传学
- 统计建模 统计建模
背景情况:
- ACE模型将表型变异分解为添加基因 (A),常见的环境 (C) 和特定的环境 (E) 因素.
- 非经典的ACE模型用于分析各种表型中的个体差异.
- 了解影响模型性能的因素对于精确的遗传研究至关重要.
研究的目的:
- 调查遗传关系差异 (ΔH) 和样本大小对非经典ACE模型性能的影响.
- 检查同性双胞胎 (HSS) 的遗传关系如何影响统计能力,模型适合性和估计消极性.
- 为使用亲属对的研究人员提供实用指南.
主要方法:
- 扩展Vischer (2004) 最小方程范式的模拟.
- 分析的重点是同性和异性双胞胎组.
- 评估添加基因估计,基于AIC的模型性能和负值估计的频率.
主要成果:
- 较高的HSS和较大的样本大小与增加的添加性遗传估计能力正相关.
- 随着HSS和样本大小的增加,观察到更好的模型性能和更少的负值估计.
- 将性别限制效应的常见环境相关性固定到0.95通常会导致模型性能更差.
结论:
- 基因相关性和样本大小对于非经典ACE模型的功率和性能至关重要.
- 负估计可以信号低功率或模型错误规格,不总是模型故障.
- 使用 ΔH < .5 的亲属对的研究人员需要仔细考虑功率和模型性能.
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