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Twin studies with unmet assumptions are biased towards genetic heritability

View ORCID ProfileEdwin S. Dalmaijer
doi: https://doi.org/10.1101/2020.08.27.270801
Edwin S. Dalmaijer
MRC Cognition and Brain Sciences Unit, University of Cambridge, 15 Chaucer Road, Cambridge, CB2 7EF, United Kingdom
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Summary

For a century [1,2], studies of monozygotic and dizygotic twins have yielded estimates of trait heritability. The clever logic behind them is that while both types of twins share environments, their genetic overlap is different. Hence, larger trait correlations between monozygotic compared to dizygotic twins indicate heritability (nature), whereas similar correlations indicate shared environmental influences (nurture), and low correlations indicate shaping through non-shared environments (external influences and measurement error). While many have written on the assumptions that both types of twins share equal environments [3–5], and that parental genetics and environment are independent [6,7]; fewer have put their data where their mouth is. Here, the impacts of unmet assumptions were investigated using a generative mixture model of twin phenotypes. The results indicated that violations of the equal environments assumption yielded large overestimations of heritability and underestimations of shared environmental influences. On the other hand, when parental genetics shaped twins’ shared environments, only minor non-linear biases against heritability emerged. Finally, realistic levels of measurement error uniformly depressed estimates for genetic and shared environmental factors. In sum, twin studies are particularly susceptible to overestimation of genetic and non-shared environmental influences. This bias could explain why some traits, such as attitudes towards property taxes [8], show suspiciously high heritability without a biologically plausible mechanism. Particularly in the context of traits with convincing mechanisms of cultural transmission [9–11] and complex gene-environment interactions [6], researchers should not allow biases in twin studies to overestimate heritability.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://github.com/esdalmaijer/2020_twin_sim

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted August 28, 2020.
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Twin studies with unmet assumptions are biased towards genetic heritability
Edwin S. Dalmaijer
bioRxiv 2020.08.27.270801; doi: https://doi.org/10.1101/2020.08.27.270801
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Twin studies with unmet assumptions are biased towards genetic heritability
Edwin S. Dalmaijer
bioRxiv 2020.08.27.270801; doi: https://doi.org/10.1101/2020.08.27.270801

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