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Cultural evolution and behavior genetic modeling: The long view of time

Published online by Cambridge University Press:  13 September 2022

Kristian E. Markon Open the ORCID record for Kristian E. Markon [Opens in a new window] ,
Robert F. Krueger  and
Susan C. South
Kristian E. Markon
Affiliation:
Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA 52242, [email protected]
Robert F. Krueger
Affiliation:
Department of Psychology, University of Minnesota, Minneapolis, MN 55455, [email protected]
Susan C. South
Affiliation:
Department of Psychological Sciences, Purdue University, West Lafayette, IN 47907, USA. [email protected]
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Abstract

We advocate for an integrative long-term perspective on time, noting that culture changes on timescales amenable to behavioral genetic study with appropriate design and modeling extensions. We note the need for replications of behavioral genetic studies to examine model invariance across long-term timescales, which would afford examination of specified as well as unspecified cultural moderators of behavioral genetic effects.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 45 , 2022 , e170
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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References

Briley, D. A., Harden, K. P., & Tucker-Drob, E. M. (2015). Genotype × cohort interaction on completed fertility and age at first birth. Behavior Genetics, 45(1), 71–83. https://doi.org/10.1007/s10519-014-9693-3CrossRefGoogle ScholarPubMed
Engzell, P., & Tropf, F. C. (2019). Heritability of education rises with intergenerational mobility. Proceedings of the National Academy of Sciences, 116(51), 25386–25388. https://doi.org/10.1073/pnas.1912998116CrossRefGoogle ScholarPubMed
Fosse, E., & Winship, C. (2019). Analyzing age-period-cohort data: A review and critique. Annual Review of Sociology, 45(1), 467–492. https://doi.org/10.1146/annurev-soc-073018-022616CrossRefGoogle Scholar
Morris, D. (2020). Too early to declare a general law of social mobility and heritability for education. Proceedings of the National Academy of Sciences, 117(46), 28564–28565. https://doi.org/10.1073/pnas.2011334117CrossRefGoogle ScholarPubMed
Rosenquist, J. N., Lehrer, S. F., O'Malley, A. J., Zaslavsky, A. M., Smoller, J. W., & Christakis, N. A. (2015). Cohort of birth modifies the association between FTO genotype and BMI. Proceedings of the National Academy of Sciences, 112(2), 354–359. https://doi.org/10.1073/pnas.1411893111CrossRefGoogle ScholarPubMed
Sanz-de-Galdeano, A., Terskaya, A., & Upegui, A. (2020). Association of a genetic risk score with BMI along the life-cycle: Evidence from several US cohorts. PLoS ONE, 15(9), e0239067. https://doi.org/10.1371/journal.pone.0239067CrossRefGoogle ScholarPubMed