David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Acta Biotheoretica (forthcoming)
Abstract The presence of gene–environment statistical interaction ( G x E ) 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 G x E 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 G x E and rGE , offering a rigorous way of interpreting heritability estimates. Specifically, given an estimate of heritability and the variance components associated with estimates of G x E and rGE , I arrive at a probabilistic account of the relative effect of genes and environment. Content Type Journal Article Category Regular Article Pages 1-13 DOI 10.1007/s10441-011-9139-8 Authors Omri Tal, School of Philosophy and The Cohn Institute for the History and Philosophy of Science and Ideas, Tel Aviv University, Tel Aviv, 69978 Israel Journal Acta Biotheoretica Online ISSN 1572-8358 Print ISSN 0001-5342.
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