Literature DB >> 23938113

The causal meaning of Fisher's average effect.

James J Lee1, Carson C Chow.   

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.

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Year:  2013        PMID: 23938113      PMCID: PMC3779663          DOI: 10.1017/S0016672313000074

Source DB:  PubMed          Journal:  Genet Res (Camb)        ISSN: 0016-6723            Impact factor:   1.588


  29 in total

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Journal:  Nat Rev Genet       Date:  2010-08-03       Impact factor: 53.242

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Authors:  D S Falconer
Journal:  Genet Res       Date:  1985-12       Impact factor: 1.588

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Authors:  A W F Edwards
Journal:  Bioessays       Date:  2003-08       Impact factor: 4.345

Review 10.  A review of family-based tests for linkage disequilibrium between a quantitative trait and a genetic marker.

Authors:  Warren J Ewens; Mingyao Li; Richard S Spielman
Journal:  PLoS Genet       Date:  2008-09-26       Impact factor: 5.917

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  5 in total

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Authors:  James J Lee; Carson C Chow
Journal:  Hum Genet       Date:  2014-04-18       Impact factor: 4.132

2.  The Fourth Law of Behavior Genetics.

Authors:  Christopher F Chabris; James J Lee; David Cesarini; Daniel J Benjamin; David I Laibson
Journal:  Curr Dir Psychol Sci       Date:  2015-07-01

3.  Population phenomena inflate genetic associations of complex social traits.

Authors:  Tim T Morris; Neil M Davies; Gibran Hemani; George Davey Smith
Journal:  Sci Adv       Date:  2020-04-15       Impact factor: 14.136

Review 4.  Uncovering the Genetic Architectures of Quantitative Traits.

Authors:  James J Lee; Shashaank Vattikuti; Carson C Chow
Journal:  Comput Struct Biotechnol J       Date:  2015-11-23       Impact factor: 7.271

5.  The causal meaning of Hamilton's rule.

Authors:  Samir Okasha; Johannes Martens
Journal:  R Soc Open Sci       Date:  2016-03-16       Impact factor: 2.963

  5 in total

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