Acta Biotheoretica

, Volume 60, Issue 3, pp 225–237

The Impact of Gene–Environment Interaction and Correlation on the Interpretation of Heritability

Regular Article


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.


Heritability Quantitative genetics Probability GxE interaction GE correlation 


  1. Carey G (2002) Human genetics for the social sciences, 1st edn. Sage, Thousand OaksGoogle Scholar
  2. Dobzhansky T (1973) Nothing makes sense except in the light of evolution. Am Biol Teach 35:125–29Google Scholar
  3. Falconer DS, Mackay TFC (1996) Introduction to quantitative genetics, 4th edn. Longmans Green, HarlowGoogle Scholar
  4. Hill WG (2010) Understanding and using quantitative genetic variation. Philos Trans R Soc B 365:73–85CrossRefGoogle Scholar
  5. Hill WG, Goddard ME, Visscher PM (2008) Data and theory point to mainly additive genetic variance for 333 complex traits. PLoS Genet 4(2):e1000008. doi:10.1371/journal.pgen.1000008
  6. Hodgins-Davis A, Townsend JP (2009) Evolving gene expression: from G to E to GxE. Trends Ecol Evol 24(12):649–658CrossRefGoogle Scholar
  7. Lewontin RC (1974) The analysis of variance and the analysis of causes. Am J Hum Genet 26:400–411Google Scholar
  8. Lewontin RC (1975) Genetic aspects of intelligence. Annu Rev Genet 9:382–405CrossRefGoogle Scholar
  9. Lynch M, Walsh B (1998) Genetics and analysis of quantitative traits, 1st edn. Sinauer Associates, SunderlandGoogle Scholar
  10. Oakey H, Verbyla AP, Cullis BR, Wei X, Pitchford WS (2007) Joint modeling of additive and non-additive (genetic line) effects in multi-environment trials. Theor Appl Genet 114:1319–1332CrossRefGoogle Scholar
  11. Oftedal G (2005) Heritability and causation. Philos Sci 72:699–709CrossRefGoogle Scholar
  12. Plomin R, DeFries JC, McClearn GE, McGuffin P (2008) Behavioral genetics, 5th edn. Worth, New YorkGoogle Scholar
  13. Rose S (1999) Précis of lifelines: biology, freedom, determinism. Behav Brain Sci 22(5):871–885 Google Scholar
  14. Sarkar S (1998) Genetics and reductionism. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  15. Sesardic N (2005) Making sense of heritability. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  16. Sternberg RJ, Grigorenko E (1997) Intelligence, heredity, and environment. Cambridge University Press, CambridgeGoogle Scholar
  17. Tabery J (2009) Difference mechanisms: explaining variation with mechanisms. Biol Philos 24:645–664CrossRefGoogle Scholar
  18. Tal O (2009) From heritability to probability. Biol Philos 24:81–105CrossRefGoogle Scholar
  19. Tal O, Kisdi E, Jablonka E (2010) Epigenetic contribution to covariance between relatives. Genetics 184:1037–1050CrossRefGoogle Scholar
  20. Wahlsten D (1990) Insensitivity of the analysis of variance to heredity-environment interaction. Behav Brain Sci 13:109–161CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.School of Philosophy and The Cohn Institute for the History and Philosophy of Science and IdeasTel Aviv UniversityTel AvivIsrael

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