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Polygenic scores for social science: Clarification, consensus, and controversy

Published online by Cambridge University Press:  11 September 2023

Callie H. Burt Open the ORCID record for Callie H. Burt [Opens in a new window]
Callie H. Burt*
Affiliation:
Department of Criminal Justice & Criminology, Center for Research on Interpersonal Violence (CRIV), Georgia State University, Atlanta, GA, USA cburt@gsu.edu; www.callieburt.org
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Abstract

In this response, I focus on clarifying my arguments, highlighting consensus, and addressing competing views about the utility of polygenic scores (PGSs) for social science. I also discuss an assortment of expansions to my arguments and suggest alternative approaches. I conclude by reiterating the need for caution and appropriate scientific skepticism.

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Behavioral and Brain Sciences , Volume 46 , 2023 , e232
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Copyright © The Author(s), 2023. Published by Cambridge University Press

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References

Abdellaoui, A., Dolan, C. V., Verweij, K. J. H., & Nivard, M. G. (2022). Gene–environment correlations across geographic regions affect genome-wide association studies. Nature Genetics, 54(9), 1345–1354. doi:10.1038/s41588-022-01158-0CrossRefGoogle ScholarPubMed
Belsky, D. W., Domingue, B. W., Wedow, R., Arseneault, L., Boardman, J. D., Caspi, A., … Herd, P. (2018). Genetic analysis of social-class mobility in five longitudinal studies. Proceedings of the National Academy of Sciences, 115(31), E7275–E7284.CrossRefGoogle ScholarPubMed
Belsky, J., Steinberg, L., & Draper, P. (1991). Childhood experience, interpersonal development, and reproductive strategy: An evolutionary theory of socialization. Child Development, 62(4), 647–670.CrossRefGoogle ScholarPubMed
Berg, J. J., Harpak, A., Sinnott-Armstrong, N., Joergensen, A. M., Mostafavi, H., Field, Y., … Coop, G. (2019). Reduced signal for polygenic adaptation of height in UK Biobank. eLife, 8, e39725. doi: 10.7554/elife.39725CrossRefGoogle ScholarPubMed
Bliss, C. (2018). Social by nature: The promise and peril of sociogenomics. Stanford University Press.CrossRefGoogle Scholar
Boardman, J. D., & Fletcher, J. M. (2021). Evaluating the continued integration of genetics into medical sociology. Journal of Health and Social Behavior, 62(3), 404–418.CrossRefGoogle ScholarPubMed
Boyce, W. T., & Ellis, B. J. (2005). Biological sensitivity to context: I. An evolutionary–developmental theory of the origins and functions of stress reactivity. Development and Psychopathology, 17(2), 271–301.CrossRefGoogle ScholarPubMed
Brinch, C. N., & Galloway, T. A. (2012). Schooling in adolescence raises IQ scores. Proceedings of the National Academy of Sciences, 109(2), 425–430.CrossRefGoogle ScholarPubMed
Brody, G. H., McBride Murry, V., McNair, L., Chen, Y. F., Gibbons, F. X., Gerrard, M., & Ashby Wills, T. (2005). Linking changes in parenting to parent–child relationship quality and youth self-control: The Strong African American Families Program. Journal of Research on Adolescence, 15(1), 47–69.CrossRefGoogle Scholar
Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., …Neale, B. M. (2015). LD Score regression distinguishes confounding from polygenicity in genome-wide association studies. Nature Genetics, 47(3), 291–295. doi: 10.1038/ng.3211CrossRefGoogle ScholarPubMed
Burt, C. H. (2012). Gottfredson and Hirschi's conceptualization of self-control: A critique of measures and proposals for change. Retrieved from https://www.researchgate.net/publication/278679704Google Scholar
Burt, C. H. (2015). Heritability studies: Methodological flaws, invalidated dogmas, and changing paradigms. Advances in Medical Sociology (Genetics, Health and Society), 16, 1–44.Google Scholar
Burt, C. H. (2018). Racial discrimination and cultural adaptations: An evolutionary developmental approach. Advances in Criminological Theory: Building a Black Criminology, 24, 207–252.Google Scholar
Burt, C. H. (2020). Self-control and crime: Beyond Gottfredson & Hirschi's theory. Annual Review of Criminology, 3(1), 43–73. doi:10.1146/annurev-criminol-011419-041344CrossRefGoogle ScholarPubMed
Burt, C. H. (2022). Cultural evolutionary theory is not enough: Ambiguous culture, neglect of structure, and the absence of theory in behavior genetics. Behavioral and Brain Sciences, 45, e157.CrossRefGoogle Scholar
Burt, C. H. (2023). Irreducibly social: Why biocriminology's ontoepistemology is incompatible with the social reality of crime. Theoretical Criminology, 27(1), 85–104.CrossRefGoogle ScholarPubMed
Burt, C. H., Lei, M. K., & Simons, R. L. (2017). Racial discrimination, racial socialization, and crime over time: A social schematic theory model. Criminology; An Interdisciplinary Journal, 55(4), 938–979.Google Scholar
Burt, C. H., & Munafò, M. (2021). Has GWAS lost its status as a paragon of open science? PLoS Biology, 19(5), e3001242.CrossRefGoogle ScholarPubMed
Burt, C. H., & Simons, R. L. (2014). Pulling back the curtain on heritability studies: Biosocial criminology in the postgenomic era. Criminology; An Interdisciplinary Journal, 52(2), 223–262.Google Scholar
Burt, C. H., Simons, R. L., & Gibbons, F. X. (2012). Racial discrimination, ethnic-racial socialization, and crime: A micro-sociological model of risk and resilience. American Sociological Review, 77(4), 648–677.CrossRefGoogle ScholarPubMed
Callier, S. L., & Bonham, V. L. (2015). Taking a stand: The genetics community's responsibility for intelligence research. Hastings Center Report, 45(S1), S54–S58.CrossRefGoogle ScholarPubMed
Charney, E. (2022). The “golden age” of behavior genetics? Perspectives on Psychological Science, 17(4), 1188–1210.CrossRefGoogle Scholar
Chisholm, J. S. (1999). Death, hope and sex: Steps to an evolutionary ecology of mind and morality. Cambridge University Press.CrossRefGoogle Scholar
Coop, G., & Przeworski, M. (2022). Lottery, luck, or legacy. A review of “The Genetic Lottery: Why DNA matters for social equality” Evolution, 76(4), 846–853.CrossRefGoogle Scholar
Del Giudice, M., Ellis, B. J., & Shirtcliff, E. A. (2011). The adaptive calibration model of stress responsivity. Neuroscience & Biobehavioral Reviews, 35(7), 1562–1592.CrossRefGoogle ScholarPubMed
Domingue, B. W., & Fletcher, J. (2020). Separating measured genetic and environmental effects: Evidence linking parental genotype and adopted child outcomes. Behavior Genetics, 50(5), 301–309.CrossRefGoogle ScholarPubMed
Dupré, J. (2012). Processes of life: Essays in the philosophy of biology. Oxford University Press.CrossRefGoogle Scholar
Duster, T. (2015). A post-genomic surprise. The molecular reinscription of race in science, law and medicine. The British Journal of Sociology, 66(1), 1–27.CrossRefGoogle ScholarPubMed
Elliott, M. L., Belsky, D. W., Anderson, K., Corcoran, D. L., Ge, T., Knodt, A., … Ireland, D. (2019). A polygenic score for higher educational attainment is associated with larger brains. Cerebral Cortex, 29(8), 3496–3504.CrossRefGoogle ScholarPubMed
Ellis, B. J., Abrams, L. S., Masten, A. S., Sternberg, R. J., Tottenham, N., & Frankenhuis, W. E. (2022). Hidden talents in harsh environments. Development and Psychopathology, 34(1), 95–113.CrossRefGoogle ScholarPubMed
Feldman, M. W., & Riskin, J. (2022). Why biology is not destiny. The New York Review of Books, 69(7). Retrieved from https://www.nybooks.com/articles/2022/04/21/why-biology-is-not-destiny-genetic-lottery-kathryn-harden/Google Scholar
Gardner, H. (2017). Taking a multiple intelligences (MI) perspective. Behavioral and Brain Sciences, 40, e203.CrossRefGoogle ScholarPubMed
Glasper, E. R., & Neigh, G. N. (2019). Experience-dependent neuroplasticity across the lifespan: From risk to resilience. Frontiers in Behavioral Neuroscience, 12, 335.CrossRefGoogle ScholarPubMed
Harden, K. P. (2021). The genetic lottery: Why DNA matters for social equality. Princeton University Press.Google Scholar
Harden, K. P., & Koellinger, P. D. (2020). Using genetics for social science. Nature Human Behaviour, 4(6), 567–576.CrossRefGoogle ScholarPubMed
Harrison, T. L., Shipstead, Z., Hicks, K. L., Hambrick, D. Z., Redick, T. S., & Engle, R. W. (2013). Working memory training may increase working memory capacity but not fluid intelligence. Psychological Science, 24(12), 2409–2419.CrossRefGoogle Scholar
Haworth, S., Mitchell, R., Corbin, L., Wade, K. H., Dudding, T., Budu-Aggrey, A., … Smith, G. D. (2019). Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis. Nature Communications, 10(1), 1–9.CrossRefGoogle ScholarPubMed
Hegelund, E. R., Grønkjær, M., Osler, M., Dammeyer, J., Flensborg-Madsen, T., & Mortensen, E. L. (2020). The influence of educational attainment on intelligence. Intelligence, 78, 101419.CrossRefGoogle Scholar
Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Perrig, W. J. (2008). Improving fluid intelligence with training on working memory. Proceedings of the National Academy of Sciences, 105(19), 6829–6833.CrossRefGoogle ScholarPubMed
Kautz, T., Heckman, J. J., Diris, R., Ter Weel, B., & Borghans, L. (2014). Fostering and measuring skills: Improving cognitive and non-cognitive skills to promote lifetime success (Working Paper: 20749). National Bureau of Economic Research. Retrieved from https://www.nber.org/papers/w20749.CrossRefGoogle Scholar
Kokras, N., Sotiropoulos, I., Besinis, D., Tzouveka, E., Almeida, O., Sousa, N., & Dalla, C. (2019). Neuroplasticity-related correlates of environmental enrichment combined with physical activity differ between the sexes. European Neuropsychopharmacology, 29(1), 1–15.CrossRefGoogle ScholarPubMed
Kweon, H., Burik, C., Karlsson Linnér, R., De Vlaming, R., Okbay, A., Martschenko, D., … Koellinger, P. (2020). Genetic fortune: Winning or losing education, income, and health (Tinbergen Institute Discussion Paper 2020-053/V). Retrieved from http://dx.doi.org/10.2139/ssrn.3682041Google Scholar
Leuner, B., Glasper, E. R., & Gould, E. (2010). Parenting and plasticity. Trends in Neurosciences, 33(10), 465–473.CrossRefGoogle ScholarPubMed
Leventhal, T., & Brooks-Gunn, J. (2000). The neighborhoods they live in: The effects of neighborhood residence on child and adolescent outcomes. Psychological Bulletin, 126(2), 309.CrossRefGoogle 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
Martin, A. R., Gignoux, C. R., Walters, R. K., Wojcik, G. L., Neale, B. M., Gravel, S., … Kenny, E. E. (2017). Human demographic history impacts genetic risk prediction across diverse populations. The American Journal of Human Genetics, 100(4), 635–649.CrossRefGoogle ScholarPubMed
Martschenko, D. O. (2021). “The elephant in the room”: Social responsibility in the production of sociogenomics research. BioSocieties, 17, 713–731.CrossRefGoogle ScholarPubMed
Mills, M. C., & Tropf, F. C. (2020). Sociology, genetics, and the coming of age of sociogenomics. Annual Review of Sociology, 46, 553–581.CrossRefGoogle Scholar
Morris, T. T., Davies, N. M., & Smith, G. D. (2020). Can education be personalised using pupils’ genetic data? eLife, 9, e49962.CrossRefGoogle ScholarPubMed
Mostafavi, H., Harpak, A., Agarwal, I., Conley, D., Pritchard, J. K., & Przeworski, M. (2020). Variable prediction accuracy of polygenic scores within an ancestry group. eLife, 9, e48376. doi: 10.7554/elife.48376CrossRefGoogle ScholarPubMed
Nelson, R. M., Pettersson, M. E., & Carlborg, Ö (2013). A century after Fisher: Time for a new paradigm in quantitative genetics. Trends in Genetics, 29(12), 669–676.CrossRefGoogle ScholarPubMed
Okbay, A., Wu, Y., Wang, N., Jayashankar, H., Bennett, M., Nehzati, S. M., … Gjorgjieva, T. (2022). Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals. Nature Genetics, 54(4), 437–449.CrossRefGoogle ScholarPubMed
Opel, N., Amare, A. T., Redlich, R., Repple, J., Kaehler, C., Grotegerd, D., … Dannlowski, U. (2020). Cortical surface area alterations shaped by genetic load for neuroticism. Molecular Psychiatry, 25(12), 3422–3431. doi: 10.1038/s41380-018-0236-9CrossRefGoogle ScholarPubMed
Panofsky, A. (2014). Misbehaving science: Controversy and the development of behavior genetics. University of Chicago Press.CrossRefGoogle Scholar
Parens, E., Chapman, A. R., & Press, N. (2006). Wrestling with behavioral genetics: Science, ethics, and public conversation. JHU Press.Google Scholar
Pepper, G. V., & Nettle, D. (2017). The behavioural constellation of deprivation: Causes and consequences. Behavioral and Brain Sciences, 40, e314.CrossRefGoogle ScholarPubMed
Plomin, R., & Von Stumm, S. (2022). Polygenic scores: Prediction versus explanation. Molecular Psychiatry, 27(1), 49–52.CrossRefGoogle ScholarPubMed
Privé, F., Arbel, J., & Vilhjálmsson, B. J. (2020). LDpred2: Better, faster, stronger. Bioinformatics (Oxford, England), 36(22–23), 5424–5431.Google Scholar
Reiss, M. J. (2000). The ethics of genetic research of intelligence. Bioethics, 14(1), 1–15.CrossRefGoogle Scholar
Richardson, K., & Jones, M. C. (2019). Why genome-wide associations with cognitive ability measures are probably spurious. New Ideas in Psychology, 55, 35–41. doi:10.1016/j.newideapsych.2019.04.005CrossRefGoogle Scholar
Richardson, S. S. (2015). The trustworthiness deficit in postgenomic research on human intelligence. Hastings Center Report, 45(S1), S15–S20.CrossRefGoogle ScholarPubMed
Roberts, D. (2015). Can research on the genetics of intelligence be “socially neutral”? Hastings Center Report, 45(S1), S50–S53.CrossRefGoogle ScholarPubMed
Rosenberg, N. A., Edge, M. D., Pritchard, J. K., & Feldman, M. W. (2019). Interpreting polygenic scores, polygenic adaptation, and human phenotypic differences. Evolution, Medicine, and Public Health, 2019(1), 26–34.CrossRefGoogle ScholarPubMed
Sabatello, M., & Juengst, E. (2019). Genomic essentialism: Its provenance and trajectory as an anticipatory ethical concern. Hastings Center Report, 49, S10–S18.CrossRefGoogle ScholarPubMed
Sampson, R. J., Raudenbush, S. W., & Earls, F. (1997). Neighborhoods and violent crime: A multilevel study of collective efficacy. Science (New York, N.Y.), 277(5328), 918–924.CrossRefGoogle ScholarPubMed
Shackel, N. (2005). The vacuity of postmodernist methodology. Metaphilosophy, 36(3), 295–320.CrossRefGoogle Scholar
Shonkoff, J. P., & Phillips, D. (Eds.). (2000). From neurons to neighborhoods: The science of early childhood development. National Academy Press.Google Scholar
Simons, R. L., & Burt, C. H. (2011). Learning to be bad: Adverse social conditions, social schemas, and crime. Criminology; An Interdisciplinary Journal, 49(2), 553–598.Google ScholarPubMed
Sohail, M., Maier, R. M., Ganna, A., Bloemendal, A., Martin, A. R., Turchin, M. C., … Sunyaev, S. R. (2019). Polygenic adaptation on height is overestimated due to uncorrected stratification in genome-wide association studies. eLife, 8, e39702. doi: 10.7554/elife.39702CrossRefGoogle ScholarPubMed
Sternberg, R. J. (2019). A theory of adaptive intelligence and its relation to general intelligence. Journal of Intelligence, 7(4), 23.CrossRefGoogle ScholarPubMed
Sweatt, J. D. (2016). Neural plasticity and behavior – Sixty years of conceptual advances. Journal of Neurochemistry, 139, 179–199.CrossRefGoogle ScholarPubMed
Turkheimer, E. (2015). Genetic prediction. Hastings Center Report, 45(S1), S32–S38.CrossRefGoogle ScholarPubMed
Turkheimer, E. (2019). Against decile analysis. Retrieved from https://www.geneticshumanagency.org/gha/against-decile-analysis/Google Scholar
Vilhjálmsson, B. J., Yang, J., Finucane, H. K., Gusev, A., Lindström, S., Ripke, S., … Zheng, W. (2015). Modeling linkage disequilibrium increases accuracy of polygenic risk scores. The American Journal of Human Genetics, 97(4), 576–592. doi:10.1016/j.ajhg.2015.09.001CrossRefGoogle ScholarPubMed
West-Eberhard, M. J. (2003). Developmental plasticity and evolution. Oxford University Press.CrossRefGoogle Scholar
Yong, E. (2019). A waste of 1,000 research papers. The Atlantic. Retrieved from https://www.theatlantic.com/science/archive/2019/05/waste-1000-studies/589684/Google Scholar
Young, A. I., Benonisdottir, S., Przeworski, M., & Kong, A. (2019). Deconstructing the sources of genotype–phenotype associations in humans. Science (New York, N.Y.), 365(6460), 1396–1400. doi:10.1126/science.aax3710CrossRefGoogle ScholarPubMed
Young, A. I., Nehzati, S. M., Benonisdottir, S., Okbay, A., Jayashankar, H., Lee, C., … Kong, A. (2022). Mendelian imputation of parental genotypes improves estimates of direct genetic effects. Nature Genetics, 54(6), 897–905.CrossRefGoogle ScholarPubMed
Zaidi, A. A., & Mathieson, I. (2020). Demographic history mediates the effect of stratification on polygenic scores. eLife, 9, e61548. doi: 10.7554/elife.61548CrossRefGoogle ScholarPubMed