Behavior Genetics

, Volume 42, Issue 5, pp 699–710 | Cite as

Multivariate Genetic Analyses of Cognition and Academic Achievement from Two Population Samples of 174,000 and 166,000 School Children

  • Catherine M. Calvin
  • Ian J. Deary
  • Dinand Webbink
  • Pauline Smith
  • Cres Fernandes
  • Sang Hong Lee
  • Michelle Luciano
  • Peter M. Visscher
Original Research

Abstract

The genetic influence on the association between contemporaneously measured intelligence and academic achievement in childhood was examined in nationally representative cohorts from England and The Netherlands using a whole population indirect twin design, including singleton data. We identified 1,056 same-sex (SS) and 495 opposite-sex (OS) twin pairs among 174,098 British 11 year-olds with test scores from 2004, and, 785 SS and 327 OS twin pairs among 120,995 Dutch schoolchildren, aged 8, 10 or 12 years, with assessments from 1994 to 2002. The estimate of intelligence heritability was large in both cohorts, consistent with previous studies (h2 = 0.70 ± 0.14, England; h2 = 0.43 ± 0.28–0.67 ± 0.31, The Netherlands), as was the heritability of academic achievement variables (h2 = 0.51 ± 0.16–0.81 ± 0.16, England; h2 = 0.36 ± 0.27–0.74 ± 0.27, The Netherlands). Additive genetic covariance explained the large majority of the phenotypic correlations between intelligence and academic achievement scores in England, when standardised to a bivariate heritability (Biv h2 = 0.76 ± 0.15–0.88 ± 0.16), and less consistent but often large proportions of the phenotypic correlations in The Netherlands (Biv h2 = 0.33 ± 0.52–1.00 ± 0.43). In the British cohort both nonverbal and verbal reasoning showed very high additive genetic covariance with achievement scores (Biv h2 = 0.94–0.98; Biv h2 = 0.77–1.00 respectively). In The Netherlands, covariance estimates were consistent across age groups. The heritability of intelligence–academic achievement associations in two population cohorts of elementary schoolchildren, using a twin pair extraction method, is at the high end of estimates reported by studies of largely preselected twin samples.

Keywords

Academic achievement Heritability Intelligence Genetic covariance Twins 

References

  1. Baker LS, Treloar SA, Reynolds CA, Heath AC, Martin NG (1996) Genetics of educational attainment in Australian twins: sex differences and secular changes. Behav Genet 26:89–102PubMedCrossRefGoogle Scholar
  2. Bartels M, Rietveld MJH, Van Baal CGM, Boosma DI (2002) Heritability of educational achievement in 12-year-olds and the overlap with cognitive ability. Twin Res 5:544–553PubMedGoogle Scholar
  3. Benyamin B, Wilson V, Whalley LJ, Visscher PM, Deary IJ (2005) Large, consistent estimates of the heritability of cognitive ability in two entire populations of 11-year-old twins from Scottish Mental Surveys of 1932 and 1947. Behav Genet 35:525–534PubMedCrossRefGoogle Scholar
  4. Calvin C, Fernandes C, Smith P, Visscher PM, Deary IJ (2009) Is there still a cognitive cost of being a twin in the UK? Intelligence 37:243–248CrossRefGoogle Scholar
  5. Calvin CM, Deary IJ, Fenton C, Roberts BA, Der G, Leckenby N, Batty GD (2011) Intelligence in youth and all-cause-mortality: systematic review with meta-analysis. Int J Epidemiol 40:626–644PubMedCrossRefGoogle Scholar
  6. Davies G, Tenesa A, Payton A, Yang J, Harris SE, Liewald D et al (2011) Genome-wide association studies establish that human intelligence is highly heritable and polygenic. Mol Psychiatry 16:996–1005PubMedCrossRefGoogle Scholar
  7. Deary IJ, Johnson W (2010) Intelligence and education: causal perceptions drive analytic processes and therefore conclusions. Int J Epidemiol 39:1362–1369PubMedCrossRefGoogle Scholar
  8. Deary IJ, Spinath FM, Bate TC (2006) Genetics of intelligence. Eur J Hum Genet 14:690–700PubMedCrossRefGoogle Scholar
  9. Deary IJ, Strand S, Smith P, Fernandes C (2007) Intelligence and educational achievement. Intelligence 35:13–21CrossRefGoogle Scholar
  10. Deary IJ, Johnson W, Houlihan LM (2009) Genetic foundations of human intelligence. Hum Genet 126:215–232PubMedCrossRefGoogle Scholar
  11. Devlin B, Daniels M, Roeder K (1997) The heritability of IQ. Nature 388:468–471PubMedCrossRefGoogle Scholar
  12. Directgov (2011) National Curriculum teacher assessments and key stage tests. http://www.direct.gov.uk/en/Parents/Schoolslearninganddevelopment/ExamsTestsAndTheCurriculum/DG_10013041. Retrieved 7 July 2011
  13. Driessen G, Van Langen A, Oudenhoven X (1994) De toetsen voor de cohort Primair onderwijs, verantwoording. Nijmegen ITSGoogle Scholar
  14. Driessen G, Van Langen A, Vierke H (2004) Basisrapportage PRIMA-cohortonderzoek, Vijfde meting 2002–2003. Report on PRIMA-longitudinal research project, Survey 2002–2003, NijmegenGoogle Scholar
  15. Dunn A, Macfarlane A (1996) Recent trends in the incidence of multiple births and associated mortality in England and Wales. Arch Dis Child Fetal Neonatal Ed 75:F10–F19PubMedCrossRefGoogle Scholar
  16. Fisch GS (2009) Models of human behaviour: talking to the animals. In: Kim Y-K (ed) Handbook of behavior genetics. Springer, New YorkGoogle Scholar
  17. Gilmour AR, Gogel BJ, Cullis BR, Thompson R (2009) ASReml User Guide Release 3.0. VSN International Ltd, Hemel Hempstead. www.vsni.co.uk
  18. Hart SA, Petrill SA, Thompson LA, Plomin R (2009) The ABCs of math: a genetic analysis of mathematics and its links with reading ability and general cognitive ability. J Educ Psychol 101:388–402PubMedCrossRefGoogle Scholar
  19. Haworth CMA, Wright MJ, Luciano M, Martin NG, de Geus EJC, van Beijsterveldt CEM et al (2010) The heritability of general cognitive ability increases linearly from childhood to young adulthood. Mol Psychiatry 15:1112–1120PubMedCrossRefGoogle Scholar
  20. Hoekstra RA, Bartels M, Boomsma DI (2007) Longitudinal genetic study of verbal and nonverbal IQ from early childhood to young adulthood. Learn Individ Differ 17:97–114CrossRefGoogle Scholar
  21. Imaizumi Y (2003) A comparative study of zygotic twinning and triplet rates in eight countries, 1972–1999. J Biosoc Sci 35:287–302PubMedCrossRefGoogle Scholar
  22. Johnson W, McGue M, Iacono WG (2006) Genetic and environmental influences on academic achievement trajectories during adolescence. Dev Psychol 42:514–532PubMedCrossRefGoogle Scholar
  23. Kaprio J (2011) Specific advantages of twin registries and biobanks. In: Walker JM (ed) Methods in molecular biology. Springer, New YorkGoogle Scholar
  24. Kovas Y, Haworth CMA, Dale PS, Plomin R (2007) The genetic and environmental origins of learning abilities and disabilities in the early school years. Monogr Soc Res Child Dev 72(3):1–144CrossRefGoogle Scholar
  25. Lindahl E, Lindahl M, Oosterbeek H, Webbink D (2007) The effect of extra funding for disadvantaged pupils on achievement. Rev Econ Stat 89:721–736CrossRefGoogle Scholar
  26. Lleras-Muney A (2005) The relationship between education and adult mortality in the United States. Rev Econ Stud 72:189–221CrossRefGoogle Scholar
  27. Luciano M, Smith GA, Geffen GM, Geffen LB, Martin NG (2001) Genetic covariance among measures of information processing speed, working memory, and IQ. Behav Genet 31:581–592PubMedCrossRefGoogle Scholar
  28. Luciano M, Wright MJ, Duffy DL, Wainwright MA, Zhu G, Evans DM et al (2006) Genome-wide scan of IQ finds significant linkage to a quantitative trait locus on 2q. Behav Genet 36:45–55PubMedCrossRefGoogle Scholar
  29. Luo D, Thompson LA, Detterman DK (2003) Phenotypic and behavioural genetic covariation between elemental cognitive components and scholastic measures. Behav Genet 33:221–246PubMedCrossRefGoogle Scholar
  30. Lykken DT, McGue M, Tellegen A (1987) Recruitment bias in twin research: the rule of two-thirds reconsidered. Behav Genet 17:343–362PubMedCrossRefGoogle Scholar
  31. Martin NG (1975) The inheritance of scholastic abilities in a sample of twins. Ann Hum Genet 39:219–229PubMedCrossRefGoogle Scholar
  32. Neale MC (2009) Biometrical models in behavioural genetics. In: Kim Y-K (ed) Handbook of behavior genetics. Springer, LondonGoogle Scholar
  33. Neale MC, Cardon LR (1992) Methodology for genetic studies of twins and families. Kluwer, DordrechtGoogle Scholar
  34. Petrill SA, Wilkerson B (2000) Intelligence and achievement: a behavioural genetic perspective. Educ Psychol Rev 12:185–197CrossRefGoogle Scholar
  35. Plomin R, DeFries JC, McClearn GE, McGuffin P (2009) Behavioral genetics, 5th edn. Worth Publishers, New YorkGoogle Scholar
  36. Posthuma D, Luciano M, de Geus EJC, Wright MJ, Slagboom PE, Montgomery GW, Boomsma DI, Martin NG (2005) A genomewide scan for intelligence identifies quantitative trait loci on 2q and 6p. Am J Hum Genet 77:318–326PubMedCrossRefGoogle Scholar
  37. Richards M, Sacker A (2011) Is education causal? Yes. Int J Epidemiol 40:516–518PubMedCrossRefGoogle Scholar
  38. Rietveld MJH, van Baal GCM, Dolan CV, Boosma DI (2000) Genetic factor analyses of specific cognitive abilities in 5-year-old Dutch children. Behav Genet 30:29–40PubMedCrossRefGoogle Scholar
  39. Scarr-Salapatek S (1971) Race, social class, and IQ. Science 174:1285–1295PubMedCrossRefGoogle Scholar
  40. Smith P, Fernandes C, Strand S (2001) Cognitive Abilities Test Third Edition: technical manual. GL Assessment, LondonGoogle Scholar
  41. Strenze T (2007) Intelligence and socioeconomic success: a meta-analytic review of longitudinal research. Intelligence 35:401–426CrossRefGoogle Scholar
  42. Thompson LA, Detterman DK, Plomin R (1991) Associations between cognitive abilities and scholastic achievement: genetic overlap but environmental influences. Psychol Sci 2:158–165CrossRefGoogle Scholar
  43. Turkheimer E, Haley A, Waldron M, D’Onofrio B, Gottesman II (2003) Socioeconomic status modifies heritability of IQ in young children. Psychol Sci 14:623–628PubMedCrossRefGoogle Scholar
  44. Visscher PM, Benyamin B, White I (2004) The use of linear mixed models to estimate variance components from data on twin pairs by maximum likelihood. Twin Res 7:670–674PubMedGoogle Scholar
  45. Wadsworth SJ, DeFries JC, Fulker DW, 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 25:1–15PubMedCrossRefGoogle Scholar
  46. Wainwright MA, Wright MJ, Geffen GM, Luciano M, Martin NG (2005) The genetic basis of academic achievement on the Queensland Core Skills test and its shared genetic variance with IQ. Behav Genet 35:133–145PubMedCrossRefGoogle Scholar
  47. Wainwright MA, Luciano M, Montgomery GW, Geffen GM, Martin NG (2006) A linkage study of academic skills defined by the Queensland Core Skills Test. Behav Genet 36:56–64PubMedCrossRefGoogle Scholar
  48. Webbink D, Roeleveld J, Visscher PM (2006) Identification of twin pairs from large population-based samples. Twin Res Hum Genet 9:496–500PubMedCrossRefGoogle Scholar
  49. Webbink D, Posthuma D, Boomsma DI, de Geus EJC, Visscher PM (2008) Do twins have lower cognitive ability than singletons? Intelligence 36:539–547CrossRefGoogle Scholar
  50. Weinberg W (1901) Beitrage zur physiologie und pahtologie der mehrlingsbeburten beim menschen. Arch Ges Physiol 88:346–430CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Catherine M. Calvin
    • 1
  • Ian J. Deary
    • 1
  • Dinand Webbink
    • 2
  • Pauline Smith
    • 3
  • Cres Fernandes
    • 3
  • Sang Hong Lee
    • 4
  • Michelle Luciano
    • 1
  • Peter M. Visscher
    • 1
    • 4
    • 5
  1. 1.Centre for Cognitive Ageing and Cognitive Epidemiology, Department of PsychologyUniversity of EdinburghEdinburghUK
  2. 2.Erasmus School of Economics, Department of EconometricsUniversity of RotterdamRotterdamThe Netherlands
  3. 3.GL AssessmentLondonUK
  4. 4.The Queensland Brain InstituteThe University of QueenslandBrisbaneAustralia
  5. 5.The University of Queensland Diamantina InstitutePrincess Alexandra HospitalBrisbaneAustralia

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