Developmental behavioral genetics research on school achievement is missing vulnerable children, to our detriment
LaTasha R. Holden
University of Illinois Urbana-Champaign, Champaign, USA
Search for more papers by this authorRasheda Haughbrook
Florida State University, Tallahassee, Florida, USA
Search for more papers by this authorCorresponding Author
Sara A. Hart
Florida State University, Tallahassee, Florida, USA
Correspondence
Sara A. Hart, Florida State University, Tallahassee, FL, USA.
Email: [email protected]
Search for more papers by this authorLaTasha R. Holden
University of Illinois Urbana-Champaign, Champaign, USA
Search for more papers by this authorRasheda Haughbrook
Florida State University, Tallahassee, Florida, USA
Search for more papers by this authorCorresponding Author
Sara A. Hart
Florida State University, Tallahassee, Florida, USA
Correspondence
Sara A. Hart, Florida State University, Tallahassee, FL, USA.
Email: [email protected]
Search for more papers by this authorAbstract
Gene–environment processes tell us how genetic predispositions and environments work together to influence children in schools. One type of gene–environment process that has been extensively studied using behavioral genetics methods is a gene-by-environment interaction. A gene-by-environment interaction shows us when the effect of your context on a phenotype differs depending on your genetic predispositions, or vice versa, when the effect of your genetic predispositions on a phenotype differs depending on your context. Developmental behavioral geneticists interested in children's school achievement have examined many different contexts within the gene-by-environment interaction model, including contexts measured from within children's home and school environments. However, this work has been overwhelmingly focused on WEIRD samples children, leaving us with non-inclusive scientific evidence. This can lead to detrimental outcomes when we overgeneralize this non-inclusive scientific evidence to racialized groups. We conclude with a call to include racialized children in more research samples.
CONFLICT OF INTEREST
None to declare.
REFERENCES
- Birney, E., Inouye, M., Raff, J., Rutherford, A., & Scally, A. (2021). The language of race, ethnicity, and ancestry in human genetic research. arXiv preprint arXiv:2106.10041.
- Brez, C., Hampton, E. M., Behrendt, L., Brown, L., & Powers, J. (2020). Failure to replicate: Testing a growth mindset intervention for college student success. Basic and Applied Social Psychology, 42(6), 460–468.
- Bronfenbrenner, U., & Ceci, S. J. (1994). Nature-nuture reconceptualized in developmental perspective: A bioecological model. Psychological Review, 101(4), 568–586.
- Burgoyne, A. P., Carroll, S., Clark, D. A., Hambrick, D. Z., Plaisance, K. S., Klump, K. L., & Burt, S. A. (2020). Can a brief intervention alter genetic and environmental influences on psychological traits? An experimental behavioral genetics approach. Learning and Motivation, 72, 101683.
- Carlson, S. M., & Meltzoff, A. N. (2008). Bilingual experience and executive functioning in young children. Developmental Science, 11(2), 282–298.
- de Zeeuw, E. L., de Geus, E. J., & Boomsma, D. I. (2015). Meta-analysis of twin studies highlights the importance of genetic variation in primary school educational achievement. Trends in Neuroscience and Education, 4(3), 69–76.
- Duncan, L. E., & Keller, M. C. (2011). A critical review of the first 10 years of candidate gene-by-environment interaction research in psychiatry. American Journal of Psychiatry, 168(10), 1041–1049.
- Fisher, E. R., Pratt, R., Esch, R., Kocher, M., Wilson, K., Lee, W., & Zierhut, H. A. (2020). The role of race and ethnicity in views toward and participation in genetic studies and precision medicine research in the united states: A systematic review of qualitative and quantitative studies. Molecular genetics & genomic medicine, 8(2), e1099.
- Fletcher, J. M., & Conley, D. (2013). The challenge of causal inference in gene–environment interaction research: Leveraging research designs from the social sciences. American Journal of Public Health, 103(S1), S42–S45.
- Frey, W. H. (2020). The nation is diversifying even faster than predicted, according to new census data. Brookings. https://www.brookings.edu/research/new-census-data-shows-the-nation-is-diversifying-even-faster-than-predicted/
- Fuller, B., & García Coll, C. (2010). Learning from latinos: Contexts, families, and child development in motion. Developmental Psychology, 46(3), 559–565.
- Garcia Coll, C., Crnic, K., Lamberty, G., Wasik, B. H., Jenkins, R., Garcia, H. V., & McAdoo, H. P. (1996). An integrative model for the study of developmental competencies in minority children. Child Development, 67(5), 1891–1914.
- Gardner-Neblett, N., Pungello, E. P., & Iruka, I. U. (2012). Oral narrative skills: Implications for the reading development of African American children. Child Development Perspectives, 6(3), 218–224.
- Gerstel, N. (2011). Rethinking families and community: The color, class, and centrality of extended kin ties. Sociological Forum, 26(1), 1–20.
- Harden, K. P., & Koellinger, P. D. (2020). Using genetics for social science. Nature Human Behaviour, 4(6), 567–576.
- Hart, S. A., Little, C., & Van Bergen, E. (2021). Nurture might be nature: Cautionary tales and proposed solutions. npj Science of Learning, 6(1), 1–12.
- Haughbrook, R., Hart, S. A., Schatschneider, C., & Taylor, J. (2017). Genetic and environmental influences on early literacy skills across school grade contexts. Developmental Science, 20(5), e12434.
- Holden, L. R., & Hart, S. A. (2021). Intelligence can be used to make a more equitable society but only when properly defined and applied. Journal of Intelligence, 9(4), 57.
- Johnson, W. (2007). Genetic and environmental influences on behavior: Capturing all the interplay. Psychological Review, 114(2), 423–440.
- Kim, Y. (2021). Home educational contexts of Asian American children: Disentangling the effects of structural and cultural factors. Early Childhood Research Quarterly, 54, 307–320.
- Little, C. W., Haughbrook, R., & Hart, S. A. (2017). Cross-study differences in the etiology of reading comprehension: A meta-analytical review of twin studies. Behavior Genetics, 47(1), 52–76.
- Neale, Z. E., Sally, I., Kuo, C., & Dick, D. M. (2021). A systematic review of gene-by-intervention studies of alcohol and other substance use. Development and Psychopathology, 33(4), 1410–1427.
- Oni-Orisan, A., Mavura, Y., Banda, Y., Thornton, T. A., & Sebro, R. (2021). Embracing genetic diversity to improve Black health. The New England Journal of Medicine, 384, 1163–1167.
- Panofsky, A. (2021). Misbehaving science. University of Chicago Press.
- Panofsky, A., Dasgupta, K., & Iturriaga, N. (2021). How White nationalists mobilize genetics: From genetic ancestry and human biodiversity to counterscience and metapolitics. American Journal of Physical Anthropology, 175(2), 387–398.
- Purcell, S. (2002). Variance components models for gene-environment interaction in twin analysis. Twin Research, 5(6), 554–571.
- Roberts, D. E., & Rollins, O. (2020). Why sociology matters to race and biosocial science. Annual Review of Sociology, 46, 195–214.
- Rodgers, J. L., Rowe, D. C., & May, K. (1994). DF analysis of NLSY IQ/achievement data: Nonshared environmental influences. Intelligence, 19(2), 157–177.
- Sisk, V. F., Burgoyne, A. P., Sun, J., Butler, J. L., & Macnamara, B. N. (2018). To what extent and under which circumstances are growth mind-sets important to academic achievement? Two meta-analyses. Psychological Science, 29(4), 549–571.
- Syed, M., Santos, C., Yoo, H. C., & Juang, L. P. (2018). Invisibility of racial/ethnic minorities in developmental science: Implications for research and institutional practices. American Psychologist, 73(6), 812–826.
- Tamis-LeMonda, C. S., Briggs, R. D., McClowry, S. G., & Snow, D. L. (2008). Challenges to the study of African American parenting: Conceptualization, sampling, research approaches, measurement, and design. Parenting: Science and Practice, 8(4), 319–358.
- Taylor, J., Erbeli, F., Hart, S. A., & Johnson, W. (2020). Early classroom reading gains moderate shared environmental influences on reading comprehension in adolescence. Journal of Child Psychology and Psychiatry, 61(6), 689–698.
- Taylor, J., Martinez, K., & Hart, S. A. (2019). The Florida state twin registry. Twin Research and Human Genetics, 22(6), 728–730.
- Taylor, J., Roehrig, A. D., Hensler, B. S., Connor, C. M., & Schatschneider, C. (2010). Teacher quality moderates the genetic effects on early reading. Science, 328(5977), 512–514.
- Terry, N. P., Connor, C. M., Johnson, L., Stuckey, A., & Tani, N. (2016). Dialect variation, dialect-shifting, and reading comprehension in second grade. Reading and Writing, 29(2), 267–295.
- Tucker-Drob, E. M., & Bates, T. C. (2016). Large cross-national differences in gene× socioeconomic status interaction on intelligence. Psychological Science, 27(2), 138–149.
- Tucker-Drob, E. M., Rhemtulla, M., Harden, K. P., Turkheimer, E., & Fask, D. (2011). Emergence of a gene× socioeconomic status interaction on infant mental ability between 10 months and 2 years. Psychological Science, 22(1), 125–133.
- Van der Sluis, S., Posthuma, D., & Dolan, C. V. (2012). A note on false positives and power in G× E modelling of twin data. Behavior Genetics, 42(1), 170–186.
- van Dijk, W., Daucourt, M. C., & Hart, S. (2021). Understanding heritability in the context of reading ability and instruction. https://doi.org/10.35542/osf.io/6tqy9
10.35542/osf.io/6tqy9 Google Scholar
- Ware, A. T., Kirkovski, M., & Lum, J. A. (2020). Meta-analysis reveals a bilingual advantage that is dependent on task and age. Frontiers in Psychology, 11, 1458.
- Yeager, D. S., & Walton, G. M. (2011). Social-psychological interventions in education: They're not magic. Review of Educational Research, 81(2), 267–301.
- Yeager, D. S., Walton, G. M., Brady, S. T., Akcinar, E. N., Paunesku, D., Keane, L., Kamentz, D., Ritter, G., Duckworth, A. L., & Urstein, R. (2016). Teaching a lay theory before college narrows achievement gaps at scale. Proceedings of the National Academy of Sciences, 113(24), E3341–E3348.
- Yeager, D. S., Hanselman, P., Walton, G. M., Murray, J. S., Crosnoe, R., Muller, C., … Dweck, C. S. (2019). A national experiment reveals where a growth mindset improves achievement. Nature, 573(7774), 364–369.