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费舍尔平均效应的因果意义。

The causal meaning of Fisher's average effect.

作者信息

Lee James J, Chow Carson C

机构信息

Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health Bethesda, MD 20892, USA.

出版信息

Genet Res (Camb). 2013 Jun;95(2-3):89-109. doi: 10.1017/S0016672313000074.

Abstract

In order to formulate the Fundamental Theorem of Natural Selection, Fisher defined the average excess and average effect of a gene substitution. Finding these notions to be somewhat opaque, some authors have recommended reformulating Fisher's ideas in terms of covariance and regression, which are classical concepts of statistics. We argue that Fisher intended his two averages to express a distinction between correlation and causation. On this view, the average effect is a specific weighted average of the actual phenotypic changes that result from physically changing the allelic states of homologous genes. We show that the statistical and causal conceptions of the average effect, perceived as inconsistent by Falconer, can be reconciled if certain relationships between the genotype frequencies and non-additive residuals are conserved. There are certain theory-internal considerations favouring Fisher's original formulation in terms of causality; for example, the frequency-weighted mean of the average effects equaling zero at each locus becomes a derivable consequence rather than an arbitrary constraint. More broadly, Fisher's distinction between correlation and causation is of critical importance to gene-trait mapping studies and the foundations of evolutionary biology.

摘要

为了阐述自然选择基本定理,费希尔定义了基因替代的平均超额效应和平均效应。一些作者发现这些概念有些晦涩难懂,建议用统计学的经典概念协方差和回归来重新表述费希尔的观点。我们认为,费希尔旨在用他的两个平均值来表达相关性与因果关系之间的区别。按照这种观点,平均效应是同源基因等位基因状态发生物理变化所导致的实际表型变化的特定加权平均值。我们表明,如果基因型频率与非加性残差之间的某些关系得以保留,那么被法尔科纳视为不一致的平均效应的统计概念和因果概念是可以调和的。存在一些理论内部的考量因素支持费希尔基于因果关系的原始表述;例如,每个位点平均效应的频率加权平均值等于零就成为了一个可推导的结果,而非任意的约束条件。更广泛地说,费希尔对相关性与因果关系的区分对于基因 - 性状映射研究以及进化生物学的基础至关重要。

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