Multivariate Genetic Analyses of Cognition and Academic Achievement from Two Population Samples of 174,000 and 166,000 School Children
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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 (h 2 = 0.70 ± 0.14, England; h 2 = 0.43 ± 0.28–0.67 ± 0.31, The Netherlands), as was the heritability of academic achievement variables (h 2 = 0.51 ± 0.16–0.81 ± 0.16, England; h 2 = 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 h 2 = 0.76 ± 0.15–0.88 ± 0.16), and less consistent but often large proportions of the phenotypic correlations in The Netherlands (Biv h 2 = 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 h 2 = 0.94–0.98; Biv h 2 = 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.
KeywordsAcademic achievement Heritability Intelligence Genetic covariance Twins
The authors thank the UK Government’s Department for Education for granting permission to use the Key Stage 2 educational data and GL Assessment for providing both data for the British cohort. The Dutch data are already available to the public. The work was undertaken by The University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology, part of the cross council Lifelong Health and Wellbeing Initiative (G0700704/84698). Funding from the Biotechnology and Biological Sciences Research Council (BBSRC); Engineering and Physical Sciences Research Council (EPSRC); Economic and Social Research Council (ESRC); and Medical Research Council (MRC) is gratefully acknowledged.
Conflict of interest
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