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3 - Can (and Should) We Personalize Education Along Genetic Lines? Lessons from Behavioral Genetics

Published online by Cambridge University Press:  06 October 2017

Susan Bouregy
Affiliation:
Yale University, Connecticut
Elena L. Grigorenko
Affiliation:
Yale University, Connecticut
Stephen R. Latham
Affiliation:
Yale University, Connecticut
Mei Tan
Affiliation:
University of Texas, Houston
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Publisher: Cambridge University Press
Print publication year: 2017

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References

Asbury, K., Almeida, D., Hibel, J., Harlaar, N., & Plomin, R. (2008). Clones in the classroom: A daily diary study of the non-shared environmental relationship between monozygotic twin differences in school experiences and achievement. Twin Research and Human Genetics, 11 (6), 586595.Google Scholar
Asbury, K., & Plomin, R. (2013). G is for genes. The impact of genetics on education and achievement. Chichester, UK: Wiley-Blackwell.Google Scholar
Asbury, K., Wachs, T. D., & Plomin, R. (2005). Environmental moderators of genetic influence on verbal and nonverbal abilities in early childhood. Intelligence, 33(6), 643661.Google Scholar
Avinun, R., & Knafo, A. (2013). Parenting as a reaction evoked by children’s genotype: A meta-analysis of children-of-twins studies. Personality and Social Psychology Review, 18(1), 87102.Google Scholar
Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173.Google Scholar
Belsky, J., & Pluess, M. (2009). Beyond diathesis stress: Differential susceptibility to environmental influences. Psychological Bulletin, 135(6), 885.Google Scholar
Barrans, J. D., Stamatiou, D., & Liew, C. C. (2001). Construction of a human cardiovascular cDNA microarray: Portrait of the failing heart. Biochemical and Biophysical Research Communications, 280(4), 964969.Google Scholar
Butcher, L. M., & Plomin, R. (2008). The nature of nurture: A genomewide association scan for family chaos. Behavioral Genetics, 38(4), 361371.Google Scholar
Byrne, B., Coventry, W. L., Olson, R. K., Hulslander, J., Wadsworth, S., DeFries, J., et al. (2008). A behaviour-genetic analysis of orthographic learning, spelling and decoding. Journal of Research in Reading, 31, 821.Google Scholar
Caspi, A., McClay, J., Moffitt, T. E., Mill, J., Martin, J., Craig, I. W., et al. (2002). Role of genotype in the cycle of violence in maltreated children. Science, 297(5582), 851854.Google Scholar
Caspi, A., Moffitt, T. E., Cannon, M., McClay, J., Murray, R., Harrington, H., et al. (2005). Moderation of the effect of adolescent-onset cannabis use on adult psychosis by a functional polymorphism in the catechol-O-methyltransferase gene: Longitudinal evidence of a gene x environment interaction. Biological Psychiatry, 57(10), 11171127.Google Scholar
Caspi, A., Sugden, K., Moffitt, T. E., Taylor, A., Craig, I. W., Harrington, H., et al. (2003). Influence of life stress on depression: Moderation by a polymorphism in the 5-HTT gene. Science, 301(5631), 386389.Google Scholar
Collins, F. (2010). The language of life: DNA and the revolution in personalised medicine. New York: Harper Collins.Google Scholar
Cortes, A., & Brown, M. A. (2011). Promise and pitfalls of the immunochip. Arthritis Res Ther, 13(1), 101.Google Scholar
Deary, I. J., Strand, S., Smith, P., & Fernandes, C. (2007). Intelligence and educational achievement. Intelligence, 35, 1321.Google Scholar
Docherty, S. J., Kovas, Y., & Plomin, R. (2011). Gene-environment interaction in the etiology of mathematical ability using SNP sets. Behavior Genetics, 41(1), 141154.Google Scholar
Duncan, L. E., & Keller, M. C. (2011). A critical review of the first 10 years of candidate gene-by-environment interaction research in psychiatry. Perspectives, 168(10).Google Scholar
Fidler, D. J., Hodapp, R. M., & Dykens, E. M. (2002). Behavioral phenotypes and special education parent report of educational issues for children with Down syndrome, Prader-Willi syndrome, and Williams syndrome. The Journal of Special Education, 36(2), 8088.Google Scholar
Gould, S. J. (1996). The mismeasure of man. New York: W.W. Norton.Google Scholar
Hanscombe, K. B., Haworth, C. M. A., Davis, O. S. P., Jaffee, S. R., & Plomin, R. (2010). The nature (and nurture) of children’s perceptions of family chaos. Learning and Individual Differences, 20 (5), 549553.Google Scholar
Hanscombe, K. B., Haworth, C., Davis, O. S., Jaffee, S. R., & Plomin, R. (2011). Chaotic homes and school achievement: A twin study. Journal of Child Psychology and Psychiatry, 52(11), 12121220.CrossRefGoogle ScholarPubMed
Hanscombe, K. B., Trzaskowski, M., Haworth, C. M. A., Davis, O. S. P., Dale, P. S., & Plomin, R. (2012). Socioeconomic status (SES) and children’s intelligence (IQ): In a UK-representative sample SES moderates the environmental, not genetic, effect on IQ. PLoS One, 7(2), e30320.Google Scholar
Harlaar, N., Hayiou-Thomas, M. E., Dale, P. S., & Plomin, R. (2008). Why do preschool language abilities correlate with later reading? A twin study. Journal of Speech, Language, and Hearing Research, 51, 688705.Google Scholar
Harlaar, N., Trzaskowski, M., Dale, P. S., & Plomin, R. (2014). Word reading fluency: Role of genome‐wide single‐nucleotide polymorphisms in developmental stability and correlations with print exposure. Child Development, 85(3), 11901205.CrossRefGoogle ScholarPubMed
Haworth, C. M., Dale, P., & Plomin, R. (2008). A twin study into the genetic and environmental influences on academic performance in science in nine‐year‐old boys and girls. International Journal of Science Education, 30(8), 10031025.Google Scholar
Haworth, C. M. A, & Davis, O. S. (2014). From observational to dynamic genetics. Frontiers in Genetics.Google Scholar
Hayiou-Thomas, M. E., Harlaar, N., Dale, P. S., & Plomin, R. (2010). Preschool speech, language skills, and reading at 7, 9 and 10 years: Etiology of the relationship. Journal of Speech, Language and Hearing Research, 47, 751765.Google Scholar
Hernstein, R. J., & Murray, C. (2010). The bell curve: Intelligence and class structure in American life. New York: Free Press.Google Scholar
Humphries, S. E., Talmud, P. J., Hawe, E., Bolla, M., Day, I. N., & Miller, G. J. (2001). Apolipoprotein E4 and coronary heart disease in middle-aged men who smoke: A prospective study. The Lancet, 358(9276), 115119.Google Scholar
Jaffee, S. R., Hanscombe, K. B., Haworth, C. M. A., Davis, O. S. P., & Plomin, R. (2012). Chaotic homes and children’s disruptive behaviour: A longitudinal cross-lagged twin study. Psychological Science, 23 (6), 643650.Google Scholar
Johnson, W., Deary, I. J., & Iacono, W. G. (2009). Genetic and environmental transactions underlying educational attainment. Intelligence, 37, 466478.Google Scholar
Kendler, K. S. (2005). “A gene for …”: The nature of gene action in psychiatric disorders. American Journal of Psychiatry, 162, 12431252.Google Scholar
Kendler, K. S., & Baker, J. H. (2007). Genetic influences on measures of the environment: A systematic review. Psychological Medicine, 37(5), 615626.Google Scholar
Kendler, K. S., & Eaves, L. J. (1986). Models for the joint effects of genotype and environment on liability to psychiatric illness. American Journal of Psychiatry.Google ScholarPubMed
Kim-Cohen, J., Caspi, A., Taylor, A., Williams, B., Newcombe, R., Craig, I. W., et al. (2006). MAOA, maltreatment, and gene–environment interaction predicting children’s mental health: New evidence and a meta-analysis. Molecular Psychiatry, 11(10), 903913.Google Scholar
Knafo, A., & Jaffee, S. R. (2013). Gene-environment correlation in developmental psychopathology. Development and Psychopathology, 25(1), 16.Google Scholar
Kohl, H. (2009). The educational panopticon. The Teachers College Record.Google Scholar
Kovas, Y., Docherty, S., Davis, O., Meaburn, E., Dale, P. S., Petrill, S., et al. (2009). Generalist genes and mathematics: The latest quantitative and molecular genetic results from the TEDS study. Behavior Genetics, 39(6), 663664.Google Scholar
Kovas, Y., Haworth, C. M. A., Dale, P. S., & Plomin, R. (2007). The genetic and environmental origins of learning abilities and disabilities in the early school years. Monographs of the Society for Research in Child Development, 72, vii160.Google Scholar
Kovas, Y., & Plomin, R. (2006). Generalist genes: Implications for the cognitive sciences. Trends in Cognitive Sciences, 10(5), 198203.Google Scholar
Krapohl, E., & Plomin, R. (2016). Genetic link between family socioeconomic status and children’s educational achievement estimated from genome-wide SNPs. Molecular Psychiatry, 21(3), 437443.Google Scholar
Krapohl, E., Rimfeld, K., Shakeshaft, N. G., Trzaskowski, M., McMillan, A., Pingault, J. B., et al. (2014). The high heritability of educational achievement reflects many genetically influenced traits, not just intelligence. Proceedings of the National Academy of Sciences, 201408777Google Scholar
Maher, B. (2008). The case of the missing heritability. Nature, 456(7218), 1821.Google Scholar
Moffitt, T. E., Caspi, A., & Rutter, M. (2005). Strategy for investigating interactions between measured genes and measured environments. Archives of General Psychiatry, 62(5), 473481.Google Scholar
OECD. (2014), PISA 2012 results: What students know and can do – Student performance in mathematics, reading and science (Vol. I, Revised Edition). Paris: OECD Publishing. doi:10.1787/9789264201118-enGoogle Scholar
Oliver, B. R., Dale, P. S., & Plomin, R. (2007). Writing and reading skills as assessed by teachers in 7-year-olds: A behavioural genetic approach. Cognitive Development, 22(1), 7795.Google Scholar
Olson, R. K. (2007). Introduction to the special issue on genes, environment and reading. Reading and Writing, 20, 111.Google Scholar
Panofsky, A. L. (2009). Behavior genetics and the prospect of “personalized social policy.” Policy and Society, 28, 327340.Google Scholar
Parens, E. (2004), Genetic differences and human identities. Hastings Center Report, 34, S4S35.Google Scholar
Plak, R. D., Merkelbach, I., Kegel, C. A., van IJzendoorn, M. H., & Bus, A. G. (2016). Brief computer interventions enhance emergent academic skills in susceptible children: A gene-by-environment experiment. Learning and Instruction, 45, 18.Google Scholar
Plomin, R. (1994). Genetics and experience: The interplay between nature and nurture. Thousand Oaks, CA: Sage.Google Scholar
Plomin, R. (2014). Genotype-environment correlation in the era of DNA. Behavior Genetics, 44(6), 629638.Google Scholar
Plomin, R., & Bergeman, C. S. (1991). The nature of nurture: Genetic influence on “environmental” measures (with open peer commentary). Behavioral and Brain Sciences, 14(3), 373414.Google Scholar
Plomin, R., DeFries, J. C., & Loehlin, J. C. (1977). Genotype-environment interaction and correlation in the analysis of human behavior. Psychological Bulletin, 84(2), 309322.Google Scholar
Plomin, R., & Kovas, Y. (2005). Generalist genes and learning disabilities. Psychological Bulletin, 131(4), 592617.CrossRefGoogle ScholarPubMed
Plomin, R., & Simpson, M. A. (2013). The future of genomics for developmentalists. Development and Psychopathology, 25(4), 12631278.Google Scholar
Power, R. A., Wingenbach, T., Cohen-Woods, S., Uher, R., Ng, M. Y., Butler, A. W., et al. (2013). Estimating the heritability of reporting stressful life events captured by common genetic variants. Psychological Medicine, 43(9), 19651971.Google Scholar
Price, T. S., & Jaffee, S. R. (2008). Effects of the family environment: Gene-environment interaction and passive gene-environment correlation. Developmental Psychology, 44(2), 305.Google Scholar
Rasbash, J., Leckie, G., Pillinger, R., & Jenkins, J. (2010). Children’s educational progress: Partitioning family, school and area effects. Journal of the Royal Statistical Society: Series A (Statistics in Society), 173(3), 657682.Google Scholar
Rimfeld, K., Ayorech, Z., Dale, P. S., Kovas, Y., & Plomin, R. (2016). Genetics affects choice of academic subjects as well as achievement. Scientific Reports, 6.Google Scholar
Risch, N., Herrell, R., Lehner, T., Liang, K. Y., Eaves, L., Hoh, J., et al. (2009). Interaction between the serotonin transporter gene (5-HTTLPR), stressful life events, and risk of depression: A meta-analysis. JAMA, 301(23), 24622471.Google Scholar
Roberts, R. C. (1967). Some concepts and methods in quantitative genetics. In Hirsch, J. (Ed.), Behavior-genetic analysis (pp. 214257). New York: McGraw-Hill.Google Scholar
Rondal, J., & Buckley, S. (2003). Speech and language intervention in Down syndrome. London: Whurr Publishers.Google Scholar
Rosenthal, R., & Jacobson, L. (1968). Pygmalion in the classroom. The Urban Review, 3(1), 1620.Google Scholar
Rowe, D. C., Jacobson, K. C., & Van den Oord, E. J. (1999). Genetic and environmental influences on vocabulary IQ: Parental education level as moderator. Child Development, 70(5), 11511162.Google Scholar
Rutter, M. (2006). Genes and behavior. Nature-nurture interplay explained. Oxford: Blackwell.Google Scholar
Samuelsson, S., Byrne, B., Quain, P., Wadsworth, S., Corley, R., DeFries, J. C., et al. (2005). Environmental and genetic influences on prereading skills in Australia, Scandinavia, and the United States. Journal of Educational Psychology, 97(4), 705.Google Scholar
Scarr, S., & McCartney, K. (1983). How people make their own environments: A theory of genotype greater than environment effects. Child Development, 424435.Google Scholar
Selzam, S., Krapohl, E., von Stumm, S., O’Reilly, P. F., Rimfeld, K., Kovas, Y., et al. (2016). Predicting educational achievement from DNA. Molecular Psychiatry.Google Scholar
Shakeshaft, N. G., Trzaskowski, M., McMillan, A., Rimfeld, K., Krapohl, E., Haworth, C. M. A., et al. (2013). Strong genetic influence on a UK nationwide test of educational achievement at the end of compulsory education at age 16. PloS One, 8(12), e80341.Google Scholar
Talmud, P. J., Bujac, S. R., Hall, S., Miller, G. J., & Humphries, S. E. (2000). Substitution of asparagine for aspartic acid at residue 9 (D9N) of lipoprotein lipase markedly augments risk of ischaemic heart disease in male smokers. Atherosclerosis, 149(1), 7581.Google Scholar
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), 512514.Google Scholar
Tosto, M. G., Petrill, S. A., Halberda, J., Trzaskowski, M., Tikhomirova, T. N., Bogdanova, O. Y., et al. (2014). Why do we differ in number sense? Evidence from a genetically sensitive design. Intelligence, 43, 3546.Google Scholar
Trzaskowski, M., Harlaar, N., Arden, R., Krapohl, E., Rimfeld, K., McMillan, A., et al. (2014). Genetic influence on family socioeconomic status and children’s intelligence. Intelligence, 42, 8388.CrossRefGoogle ScholarPubMed
Tucker-Drob, E. M., & Bates, T. C. (2016). Large cross-national differences in gene× socioeconomic status interaction on intelligence. Psychological Science, 27(2), 138149.Google Scholar
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), 125133.Google Scholar
Turkheimer, E., Haley, A., Waldron, M., d’Onofrio, B., & Gottesman, I. I. (2003). Socioeconomic status modifies heritability of IQ in young children. Psychological Science, 14(6), 623628.Google Scholar
Valentine, G. H. (1986). The chromosomes and their disorders: An introduction for clinicians. London: Heinemann.Google Scholar
Wadsworth, S. J., DeFries, J. C., Fulker, D. W., & Plomin, R. (1995). Cognitive ability and academic achievement in the Colorado Adoption Project: A multivariate genetic analysis of parent-offspring and sibling data. Behav. Genet. 25, 115.Google Scholar
Watson, J. D., & Crick, F. H. C. (1953). Genetical implications of the structure of deoxyribonucleic acid. Nature, 171, 964967.Google Scholar
Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D. R., et al. (2010). Common SNPs explain a large proportion of the heritability for human height. Nature Genetics, 42(7), 97107.Google Scholar
Yang, J., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011). GCTA: A tool for genome-wide complex trait analysis. American Journal of Human Genetics, 88(1), 7682.Google Scholar
Plomin, R. (2013). Genome-wide complex trait analysis (GCTA): Methods, data analyses, and interpretations. Methods in Molecular Biology, 1019, 215236.Google Scholar
Zaitlen, N., & Kraft, P. (2012). Heritability in the genome-wide association era. Human Genetics, 131(10), 16551664.Google Scholar

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