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Misguided model of human behavior: Comment on C. H. Burt: “Challenging the utility of polygenic scores for social science…”

Published online by Cambridge University Press:  11 September 2023

Ken Richardson Open the ORCID record for Ken Richardson [Opens in a new window]
Ken Richardson*
Affiliation:
Berwick upon Tweed, UK [email protected]
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Abstract

This commentary emphasizes two problem areas mentioned by Burt. First, that within-family designs do not eradicate stratification confounds. Second, that the linear/additive model of genetic causes of form and variation is not supported by recent progress in molecular biology. It concludes with an appeal for a (biologically and psychologically) more realistic model of such causes.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 46 , 2023 , e225
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Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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References

Baverstock, K. (2021). The gene: An appraisal. Progress in Biophysics and Molecular Biology, 164, 46–62. https://doi.org/10.1016/j.pbiomolbio.2021.04.005CrossRefGoogle ScholarPubMed
Biddle, J. W., Martinez-Corral, R., Wong, F., & Gunawardena, J. (2021). Allosteric conformational ensembles have unlimited capacity for integrating information. eLife, 10, e65498. doi: 10.7554/eLife.65498CrossRefGoogle ScholarPubMed
Fletcher, J. (2021). Backdoor to a dead end: A review essay. Population and Development Review, 48, 253–258. https://doi.org/10.1111/padr.12487CrossRefGoogle Scholar
Hall, J. C. (2017). No longer invisible: Understanding the psychosocial impact of skin color stratification in the lives of African American women. Health & Social Work, 42, 71–78, https://doi.org/10.1093/hsw/hlx001CrossRefGoogle ScholarPubMed
Harden, K. P. (2021). The genetic lottery: Why DNA matters for social equality. Princeton University Press.Google Scholar
Isbel, L., Grand, R. S., & Schübeler, D. (2022). Generating specificity in genome regulation through transcription factor sensitivity to chromatin. Nature Reviews Genetics, 23(12), 728–740. https://doi.org/10.1038/s41576-022-00512-6CrossRefGoogle ScholarPubMed
Kempthorne, O. (1978). Logical, epistemological and statistical aspects of nature–nurture data interpretation. Biometrics, 34(1), 1–23.CrossRefGoogle ScholarPubMed
Kraft, P., Kraft, B., Hagen, T., & Espeseth, T. (2022). Subjective socioeconomic status, cognitive abilities, and personal control: Associations with health behaviours. Frontiers in Psychology, 12, 784758. doi: 10.3389/fpsyg.2021.784758CrossRefGoogle ScholarPubMed
Lyon, P., Keijzer, F., Arendt, D., & Levin, M. (2021). Reframing cognition: Getting down to biological basics. Philosophical Transactions of the Royal Society, B, 376, 20190750. https://doi.org/10.1098/rstb.2019.0750CrossRefGoogle ScholarPubMed
Madole, J. W., & Harden, K. P. (2023). Building causal knowledge in behavior genetics. Behavioral and Brain Sciences. https://doi.org/10.1017/S0140525X22000681Google Scholar
Monroe, J. G., Srikant, T., Carbonell-Bejerano, P., Becker, C., Lensink, M., Exposito-Alonso, M., … Weigel, D. (2022). Mutation bias reflects natural selection in Arabidopsis thaliana. Nature, 602, 101–105. https://doi.org/10.1038/s41586-021-04269-6CrossRefGoogle ScholarPubMed
Noble, D. (2016). Dance to the tune of life: Biological relativity. Cambridge University Press.Google Scholar
Plomin, R. (2019). Blueprint: How DNA makes us who we are. MIT Press.Google Scholar
Richardson, K. (2020). In the light of the environment: Evolution through biogrammars not programmers. Biological Theory, 15, 212e222.CrossRefGoogle Scholar
Richardson, K. (2021). Genes and knowledge: Response to Baverstock. Progress in Biophysics and Molecular Biology, 167, 12–17. doi: 10.1016/j.pbiomolbio.2021.10.003CrossRefGoogle ScholarPubMed
Richardson, K. (2022). Understanding intelligence. Cambridge University Press.CrossRefGoogle ScholarPubMed
Richardson, K., & Norgate, S. H. (2015). Does IQ really predict job performance? Applied Developmental Science, 19, 153–169.CrossRefGoogle ScholarPubMed
Shapiro, J. A. (2013). How life changes itself: The read-write (RW) genome. Physics of Life Reviews, 10, 287–323.CrossRefGoogle ScholarPubMed
Shapiro, J. A. (2020). All living cells are cognitive. Biochemical and Biophysical Research Communications, 564, 134–149.CrossRefGoogle ScholarPubMed
Wagner, A., & Wright, J. (2007). Alternative routes and mutational robustness in complex regulatory networks. BioSystems, 88, 163–172.CrossRefGoogle ScholarPubMed
Watanabe, K., Stringer, S., Frei, O., Mirkov, M. U., de Leeuw, C., Polderman, T. J. C., … Posthuma, D. (2019). A global overview of pleiotropy and genetic architecture in complex traits. Nature Genetics, 51, 1339–1348. doi: 10.1038/s41588-019-0481-0CrossRefGoogle ScholarPubMed
Wilkinson, R., & Pickett, K. (2018). The inner level. Allen Lane.Google Scholar
Wright, C. J., Smith, C. W. J., & Jiggins, C. D. (2022). Alternative splicing as a source of phenotypic diversity. Nature Reviews Genetics, 23, 697–710. https://doi.org/10.1038/s41576-022-00514-4CrossRefGoogle ScholarPubMed