Gene-environment interactions often create nonlinear effects that additive models structurally cannot capture, making 'additive dominance' an artifact of the statistical framework.

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Additive models(as used in statistics and scientific modeling): A way of explaining something by adding up separate pieces (like saying: height = genetics + nutrition + exercise), assuming each piece contributes independently without affecting the others.
Artifact (of the statistical framework)(as used in philosophy of science and research methodology): A false result or conclusion that appears to exist only because of how you measured or analyzed something, not because it's real—like seeing a reflection and thinking it's a separate object.
Gene-environment interactions(as used in psychology and biology): The way your inherited traits (genes) and your surroundings (environment) work together to shape who you are, rather than either one acting alone.
Nonlinear effects(as used in mathematics and science): Changes that don't follow a simple straight-line pattern; small changes in one thing might cause huge changes in another, or the effect might jump around unpredictably.

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