Tal Omri
School of Philosophy and The Cohn Institute for the History and Philosophy of Science and Ideas, Tel Aviv University, Tel Aviv, 69978, Israel.
Acta Biotheor. 2012 Sep;60(3):225-37. doi: 10.1007/s10441-011-9139-8. Epub 2011 Aug 24.
The presence of gene-environment statistical interaction (GxE) and correlation (rGE) in biological development has led both practitioners and philosophers of science to question the legitimacy of heritability estimates. The paper offers a novel approach to assess the impact of GxE and rGE on the way genetic and environmental causation can be partitioned. A probabilistic framework is developed, based on a quantitative genetic model that incorporates GxE and rGE, offering a rigorous way of interpreting heritability estimates. Specifically, given an estimate of heritability and the variance components associated with estimates of GxE and rGE, I arrive at a probabilistic account of the relative effect of genes and environment.
基因 - 环境统计相互作用(GxE)和相关性(rGE)在生物发育中的存在,使得科学从业者和哲学家都对遗传力估计的合理性提出了质疑。本文提供了一种新颖的方法来评估GxE和rGE对划分遗传和环境因果关系方式的影响。基于一个纳入了GxE和rGE的数量遗传模型,构建了一个概率框架,提供了一种严格解释遗传力估计的方法。具体而言,给定遗传力估计值以及与GxE和rGE估计相关的方差成分,我得出了关于基因和环境相对效应的概率解释。