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Behavioural Genetics for Education pp 1–23Cite as

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How Genetics Can Help Education

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Abstract

The vast individual differences observed in all educationally relevant psychological traits, such as academic achievement and cognitive, motivational and emotional characteristics, develop through complex processes of gene-environment co-action. Research suggests that educational environment interacts with unique genetic profiles of students, leading to great variability among students (see Kovas, Haworth, Dale, & Plomin, 2007).

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References

  • Alferink, L. A., & Farmer-Dougan, V. (2010). Brain-(not) based education: dangers of misunderstanding and misapplication of neuroscience research. Exceptionality, 18 (1), 42–52.

    Article  Google Scholar 

  • Babad, E. (1993). Teachers’ differential behavior. Educational Psychology Review, 5 (4), 347–376.

    Article  Google Scholar 

  • Baron-Cohen, S., Murphy, L., Chakrabarti, B., Craig, I., Mallya, U., Lakatošová, S., … & Warrier, V. (2014). A genome wide association study of mathematical ability reveals an association at chromosome 3q29, a locus associated with autism and learning difficulties: a preliminary study. PloS One, 5, e96374.

    Article  Google Scholar 

  • Bartels, M., Rietveld, M. J., Van Baal, G. C. M., & Boomsma, D. I. (2002). Heritability of educational achievement in 12-year-olds and the overlap with cognitive ability. Twin Research, 5 (06), 544–553.

    Article  Google Scholar 

  • Boivin, M., Brendgen, M., Dionne, G., Dubois, L., Pérusse, D., Robaey, P., … & Vitaro, F. (2013). The Quebec newborn twin study into adolescence: 15 years later. Twin Research and Human Genetics, 16 (01), 64–69.

    Article  Google Scholar 

  • Bressler, S. L., & Menon, V. (2010). Large-scale brain networks in cognition: emerging methods and principles, Trends in Cognitive Sciences, 14 (6), 277–290.

    Article  Google Scholar 

  • Butterworth, B., & Kovas, Y. (2013). Understanding neurocognitive developmental disorders can improve education for all. Science, 340 (6130), 300–305.

    Article  Google Scholar 

  • Byrne, B., Coventry, W. L., Olson, R. K., Wadsworth, S. J., Samuelsson, S., Petrill, S. A., … & Corley, R. (2010). “Teacher effects” in early literacy development: evidence from a study of twins. Journal of educational psychology, 102 (1), 32.

    Article  Google Scholar 

  • Cantlon, J. F., Brannon, E. M., Carter, E. J., & Pelphrey, K. A. (2006). Functional imaging of numerical processing in adults and 4-y-old children. PLOS Biology, 4 (5).

    Google Scholar 

  • Collins, F. (2010). Has the revolution arrived? Nature, 464 (7289), 674–675.

    Article  Google Scholar 

  • Coventry, W. L., Byrne, B., Coleman, M., Olson, R. K., Corley, R., Willcutt, E., & Samuelsson, S. (2009). Does classroom separation affect twins’ reading ability in the early years of school? Twin Research and Human Genetics, 12 (05), 455–461.

    Article  Google Scholar 

  • Davies, G., Tenesa, A., Payton, A., Yang, J., Harris, S. E., Liewald, D., … & Deary, I. J. (2011). Genome-wide association studies establish that human intelligence is highly heritable and polygenic. Molecular psychiatry, 16 (10), 996–1005.

    Article  Google Scholar 

  • Dehaene, S., Piazza, M., Pinel, P., & Cohen, L. (2003). Three parietal circuits for number processing. Cognitive neuropsychology, 20 (3–6), 487–506.

    Article  Google Scholar 

  • Docherty, S. J., Davis, O. S. P., Kovas, Y., Meaburn, E. L., Dale, P. S., Petrill, S. A., … & Plomin, R. (2010). A genome-wide association study identifies multiple loci associated with mathematics ability and disability. Genes, Brain and Behavior, 9 (2), 234–247.

    Article  Google Scholar 

  • Docherty, S. J., Kovas, Y., Petrill, S. A., & Plomin, R. (2010). Generalist genes analysis of DNA markers associated with mathematical ability and disability reveals shared influence across ages and abilities. BMC genetics, 11 (1), 61.

    Article  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), 141–154.

    Article  Google Scholar 

  • Gabrieli, J. D. (2009). Dyslexia: a new synergy between education and cognitive neuroscience. Science, 325 (5938), 280–283.

    Article  Google Scholar 

  • Greven, C. U., Harlaar, N., Kovas, Y., Chamorro-Premuzic, T., & Plomin, R. (2009). More than just IQ school achievement is predicted by self-perceived abilities.-but for genetic rather than environmental reasons. Psychological Science, 20 (6), 753–762.

    Article  Google Scholar 

  • Hahn, E., Gottschling, J., & Spinath, F. M. (2013). Current twin studies in Germany: report on CoSMoS, SOEP, and ChronoS. Twin Research and Human Genetics, 16 (01), 173–178.

    Article  Google Scholar 

  • Harris, K. M., & Morgan, S. P. (1991). Fathers, sons, and daughters: differential paternal involvement in parenting. Journal of Marriage and the Family, 531–544.

    Google Scholar 

  • Haworth, C. M. A., Wright, M. J., Luciano, M., Martin, N. G., De Geus, E. J. C., Van Beijsterveldt, C. E. M., … & Plomin, R. (2010). The heritability of general cognitive ability increases linearly from childhood to young adulthood. Molecular Psychiatry, 15 (11), 1112–1120.

    Article  Google Scholar 

  • Haworth, C., Davis, O. S., & Plomin, R. (2013). Twins Early Development Study (TEDS): a genetically sensitive investigation of cognitive and behavioral development from childhood to young adulthood. Twin Research and Human Genetics, 16 (01), 117–125.

    Article  Google Scholar 

  • Hindorff, L. A., Junkins, H. A., Hall, P. N., Mehta, J. P., & Manolio, T. A. (2010). A catalog of published genome-wide association studies. National Human Genome Research Institute.

    Google Scholar 

  • Hirschhorn, J. N., & Daly, M. J. (2005). Genome-wide association studies for common diseases and complex traits. Nature Reviews Genetics, 6 (2), 95–108.

    Article  Google Scholar 

  • Hur, Y. M., Jeong, H. U., Chung, K. W., Shin, J. S., & Song, T. B. (2013). The South Korean twin registry: an update. Twin Research and Human Genetics, 16 (01), 237–240.

    Article  Google Scholar 

  • Inlow, J. K., & Restifo, L. L. (2004). Molecular and comparative genetics of mental retardation. Genetics, 166 (2), 835–881.

    Article  Google Scholar 

  • Kovas, Y., Galajinsky, E. V., Boivin, M., Harold, G. T., Jones, A., Lemelin, J. P., … & Malykh, S. (2013). The Russian School Twin Registry (RSTR): project progress. Twin Research and Human Genetics, 16 (01), 126–133.

    Article  Google Scholar 

  • Kovas, Y., Garon-Carrier, G., Boivin, M., Petrill, S. A., Plomin, R., Malykh, S. B., … & Vitaro, F. (2015). Why children differ in motivation to learn: insights from over 13,000 twins from 6 countries. Personality and Individual Differences, 80, 51–63.

    Article  Google Scholar 

  • Kovas, Y., Harlaar, N., Petrill, S. A., & Plomin, R. (2005). “Generalist genes” and mathematics in 7-year-old twins. Intelligence, 33 (5), 473–489.

    Article  Google Scholar 

  • Kovas, Y., Haworth, C. M., Dale, P. S., Plomin, R., Weinberg, R. A., Thomson, J. M., & Fischer, K. W. (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, i–156.

    Google Scholar 

  • Kovas, Y., & Plomin, R. (2006). Generalist genes: implications for the cognitive sciences. Trends in cognitive sciences, 10 (5), 198–203.

    Article  Google Scholar 

  • Kovas, Y., & Plomin, R. (2007). Learning abilities and disabilities generalist genes, specialist environments. Current Directions in Psychological Science, 16 (5), 284–288.

    Article  Google Scholar 

  • Kovas, Y., & Plomin, R. (2012). Genetics and genomics: good, bad and ugly. In S. Della Salla & M. Anderson (Eds), Neuroscience in Education: The Good, The Bad and The Ugly (pp. 155–173). Oxford University Press.

    Chapter  Google Scholar 

  • Kovas, Y., Tikhomirova, T. N., & Malykh, S. B. (2011). Problema stabil’nosti i izmen-chivosti obshchih sposobnostej v psihogenetike [The problem of stability and variability of general abilities in behavioural genetics]. Voprosy psihologii, 6, 44–54.

    Google Scholar 

  • Kovas, Y., Voronin, I., Kaydalov, A., Malykh, S. B., Dale, P. S., & Plomin, R. (2013). Literacy and numeracy are more heritable than intelligence in primary school. Psychological science, 24 (10), 2048–2056.

    Article  Google Scholar 

  • Krasa, N., & Shunkwiler, S. (2009). Number Sense and Number Nonsense: Understanding the Challenges of Learning Math. Brookes Publishing Company.

    Google Scholar 

  • Light, J. G., Defries, J. C., & Olson, R. K. (1998). Multivariate behavioral genetic analysis of achievement and cognitive measures in reading-disabled and control twin pairs. Human Biology, 215–237.

    Google Scholar 

  • Ligthart, L., & Boomsma, D. I. (2012). Causes of comorbidity: pleiotropy or causality? Shared genetic and environmental influences on migraine and neuroticism. Twin Research and Human Genetics, 15 (02), 158–165.

    Article  Google Scholar 

  • Loehlin, J. C., & Nichols, R. C. (1976). Heredity, Environment, and Personality: A Study of 850 Sets of Twins. University of Texas Press.

    Google Scholar 

  • Luo, Y. L., Kovas, Y., Haworth, C. M., & Plomin, R. (2011). The etiology of mathematical self-evaluation and mathematicS achievement: understanding the relationship using a cross-lagged twin study from ages 9 to 12. Learning and Individual Differences, 21 (6), 710–718.

    Article  Google Scholar 

  • Malykh, S. B. (2009). Problema razvitiya intellekta v psihogenetike [The problem of intelligence development in behaviour genetics]. Kognitivnye issledovaniya: Problema razvitiya. Sbornik nauchnyh trudov, 3, 287–302.

    Google Scholar 

  • Malykh, S. B., Egorova, M. S., & Meshkova, T. A. (1998). Osnovy psihogenetiki [The basics of behavior genetics] . Moscow: Epidavr.

    Google Scholar 

  • Malykh, S. B., Tikhomirova, T. N., & Kovas, Y. V. (2012). Individual’nye razlichiya v sposobnostyah k obucheniyu: vozmozhnosti i perspektivy psihogeneticheskih issledovanij [Individual differences in learning abilities: opportunities and perspectives of behaviour genetic studies]. Voprosy obrazovaniya, 4, 186–199.

    Article  Google Scholar 

  • Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., … & Visscher, P. M. (2009). Finding the missing heritability of complex diseases. Nature, 461 (7265), 747–753.

    Article  Google Scholar 

  • Mazzocco, M. M., Feigenson, L., & Halberda, J. (2011). Preschoolers’ precision of the approximate number system predicts later school mathematics performance. PLoS one, 6 (9), e23749.

    Article  Google Scholar 

  • McCarthy, M. I., Abecasis, G. R., Cardon, L. R., Goldstein, D. B., Little, J., Ioannidis, J. P., & Hirschhorn, J. N. (2008). Genome-wide association studies for complex traits: consensus, uncertainty and challenges. Nature Reviews Genetics, 9 (5), 356–369.

    Article  Google Scholar 

  • Meaburn, E. L., Harlaar, N., Craig, I. W., Schalkwyk, L. C., & Plomin, R. (2008). Quantitative trait locus association scan of early reading disability and ability using pooled DNA and 100K SNP microarrays in a sample of 5760 children. Molecular psychiatry, 13 (7), 729–740.

    Article  Google Scholar 

  • Meta-Analysis of twin correlations and heritability; http://match.ctglab.nl/#/home

  • Neale, M. C. (1997). Mx: Statistical Modeling (Version 1.1) (4th ed.). Richmond (VA): Department of Psychiatry, University of Virginia.

    Google Scholar 

  • Neale, M. C., & Maes, H. H. M. (2003). Methodology for Genetic Studies of Twins and Families. Dordrecht, NL: Kluwer Academic Publishers.

    Google Scholar 

  • Piazza, M., Pinel, P., Le Bihan, D., & Dehaene, S. (2007). A magnitude code common to numerosities and number symbols in human intraparietal cortex. Neuron, 53 (2), 293–305.

    Article  Google Scholar 

  • Pinker, S. (2002). The Blank Slate: The Modern Denial of Human Nature. New York: Viking.

    Google Scholar 

  • Plomin, R. (2003). Genetics, genes, genomics and g. Molecular Psychiatry, 8, 1–5.

    Article  Google Scholar 

  • Plomin, R., Asbury, K., & Dunn, J. F. (2001). Why are children in the same family so different? Nonshared environment a decade later. Canadian Journal of Psychiatry, 46, 225–233.

    Google Scholar 

  • Plomin, R., & Daniels, D. (1987). Why are children in the same family so different from one another? Behavioral and Brain Sciences, 10 (01), 1–16.

    Article  Google Scholar 

  • Plomin, R., & Deary, I. J. (2014). Genetics and intelligence differences: five special findings. Molecular psychiatry.

    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), 309.

    Article  Google Scholar 

  • Plomin, R., DeFries, J. C., Knopik, V. S., & Neiderhiser, J. M. (2012). Behavioral Genetics (6th edition). New York: Worth.

    Google Scholar 

  • Plomin, R., Haworth, C. M., & Davis, O. S. (2009). Common disorders are quantitative traits. Nature Reviews Genetics, 10 (12), 872–878.

    Article  Google Scholar 

  • Plomin, R., & Kovas, Y. (2005). Generalist genes and learning disabilities. Psychological bulletin, 131 (4), 592–617.

    Article  Google Scholar 

  • Plomin, R., & Schalkwyk, L. C. (2007). Microarrays. Developmental Science, 10 (1), 19–23.

    Article  Google Scholar 

  • Polderman, T. J., Benyamin, B., de Leeuw, C. A., Sullivan, P. F., van Bochoven, A., Visscher, P. M., & Posthuma, D. (2015). Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nature Genetics, 47(7), 702–709.

    Article  Google Scholar 

  • Raymond, F. L., & Tarpey, P. (2006). The genetics of mental retardation. Human Molecular Genetics, 15 (suppl 2), 110–116.

    Article  Google Scholar 

  • Rhea, S. A., Gross, A. A., Haberstick, B. C., & Corley, R. P. (2013). Colorado twin registry: an update. Twin Research and Human Genetics, 16 (01), 351–357.

    Article  Google Scholar 

  • Rimfeld, K., Kovas, Y., Dale, P. S., & Plomin, R. (2015). Pleiotropy across academic subjects at the end of compulsory education. Scientific Reports, 5, 11713.

    Article  Google Scholar 

  • Skytthe, A., Christiansen, L., Kyvik, K. O., Bødker, F. L., Hvidberg, L., Petersen, I., … & Christensen, K. (2013). The Danish Twin Registry: linking surveys, national registers, and biological information. Twin Research and Human Genetics, 16 (01), 104–111.

    Article  Google Scholar 

  • Stanescu-Cosson, R., Pinel, P., van de Moortele, P. F., Le Bihan, D., Cohen, L., & Dehaene, S. (2000). Understanding dissociations in dyscalculia. Brain, 123 (11), 2240–2255.

    Article  Google Scholar 

  • Stromswold, K. (2001). The heritability of language: a review and metaanalysis of twin, adoption, and linkage studies. Language, 77 (4), 647–723.

    Article  Google Scholar 

  • The National Human Genome Research Institute: http://www.genome.gov/gwastudies/.

  • Thompson, L. A., Detterman, D. K., & Plomin, R. (1991). Associations between cognitive abilities and scholastic achievement: genetic overlap but environmental differences. Psychological Science, 2 (3), 158–165.

    Article  Google Scholar 

  • Tikhomirova, T. N., & Kovas, Y. V. (2013). Vzaimosvyaz’ kognitivnyh harakteristik uchashchihsya i uspeshnosti resheniya matematicheskih zadanij (na primere starshego shkol’nogo vozrasta) [The association of cognitive characteristics and successful mathematical performance (in high school students)]. Psihologicheskij zhurnal, 34 (1), 35–45.

    Google Scholar 

  • Tommerdahl, J. (2010). A model for bridging the gap between neuroscience and education. Oxford Review of Education, 36 (1), 97–109.

    Article  Google Scholar 

  • Van Beijsterveldt, C. E., Groen-Blokhuis, M., Hottenga, J. J., Franić, S., Hudziak, J. J., Lamb, D., … & Boomsma, D. I. (2013). The Young Netherlands Twin Register (YNTR): longitudinal twin and family studies in over 70,000 children. Twin Research and Human Genetics, 16 (01), 252–267.

    Article  Google Scholar 

  • Venkatraman, V., Ansari, D., & Chee, M. W. (2005). Neural correlates of symbolic and non-symbolic arithmetic. Neuropsychologia, 43 (5), 744–753.

    Article  Google Scholar 

  • Wainwright, M. A., Wright, M. J., Luciano, M., Geffen, G. M., & Martin, N. G. (2005). Multivariate genetic analysis of academic skills of the Queensland core skills test and IQ highlight the importance of genetic g. Twin Research and Human Genetics, 8 (06), 602–608.

    Article  Google Scholar 

  • Wetterstrand, K. A. (2013). DNA sequencing costs: data from the NHGRI Genome Sequencing Program (GSP). National Human Genome Research Institute, www.genome.gov/sequencingcosts.

  • Wetterstrand, K. A. (2015). DNA Sequencing Costs: Data from the NHGRI Genome Sequencing Program (GSP). www.genome.gov/sequencingcosts.

    Google Scholar 

  • Zhou, N., Lam, S. F., & Chan, K. C. (2012). The chinese classroom paradox: a cross-cultural comparison of teacher controlling behaviors. Journal of Educational Psychology, 104 (4), 1162–1174.

    Article  Google Scholar 

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Authors
  1. Yulia Kovas
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  2. Tatiana Tikhomirova
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  3. Fatos Selita
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  4. Maria G. Tosto
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  5. Sergey Malykh
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Editor information

Editors and Affiliations

  1. Goldsmiths, University of London, UK

    Yulia Kovas

  2. Russian Academy of Education, Russia

    Sergey Malykh

  3. University of Sussex, UK

    Darya Gaysina

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© 2016 Yulia Kovas, Tatiana Tikhomirova, Fatos Selita, Maria G. Tosto, and Sergey Malykh

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Kovas, Y., Tikhomirova, T., Selita, F., Tosto, M.G., Malykh, S. (2016). How Genetics Can Help Education. In: Kovas, Y., Malykh, S., Gaysina, D. (eds) Behavioural Genetics for Education. Palgrave Macmillan, London. https://doi.org/10.1057/9781137437327_1

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