The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
I. INTRODUCTION
Open accessAbstract
Despite the importance of learning abilities and disabilities in education and child development, little is known about their genetic and environmental origins in the early school years. We report results for English (which includes reading, writing, and speaking), mathematics, and science as well as general cognitive ability in a large and representative sample of U.K. twins studied at 7, 9, and 10 years of age. Although preliminary reports of some of these data have been published, the purpose of this monograph is to present new univariate, multivariate, and longitudinal analyses that systematically examine genetic and environmental influences for the entire sample at all ages for all measures for both the low extremes (disabilities) and the entire sample (abilities). English, mathematics, and science yielded similarly high heritabilities and modest shared environmental influences at 7, 9, and 10 years despite major changes in content across these years. We draw three conclusions that go beyond estimating heritability. First, the abnormal is normal: Low performance is the quantitative extreme of the same genetic and environmental influences that operate throughout the normal distribution. Second, continuity is genetic and change is environmental: Longitudinal analyses suggest that age-to-age stability is primarily mediated genetically, whereas the environment contributes to change from age to age. Third, genes are generalists and environments are specialists: Multivariate analyses indicate that genes largely contribute to similarity in performance within and between the three domains--and with general cognitive ability--whereas the environment contributes to differences in performance. These conclusions have far-reaching implications for education and child development as well as for molecular genetics and neuroscience.
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Gosling, S. D., Vazire, S., Srivastava, S., & John, O. P. (2004) · American Psychologist · doi:10.1037/0003-066x.59.2.93 · Cited by 2,932
A dynamical model of general intelligence: The positive manifold of intelligence by mutualism.
Van Der Maas, H. L. J., Dolan, C. V., Grasman, R. P. P. P., Wicherts, J. M., Huizenga, H. M., & Raijmakers, M. E. J. (2006) · Psychological Review · doi:10.1037/0033-295x.113.4.842 · Cited by 1,006
Generalist Genes and Learning Disabilities.
Plomin, R., & Kovas, Y. (2005) · Psychological Bulletin · doi:10.1037/0033-2909.131.4.592 · Cited by 534
Self-citationDevlin, B., Daniels, M., & Roeder, K. (1997) · Nature · doi:10.1038/41319 · Cited by 478
A dynamic systems model of cognitive and language growth.
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Self-citationGenetic and Environmental Influences on the Development of Intelligence
Bartels, M., Rietveld, M. J. H., Van Baal, G. C. M., & Boomsma, D. I. (2002) · Behavior Genetics · doi:10.1023/a:1019772628912 · Cited by 215
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Personality Psychology and Economics
Almlund, M., Duckworth, A. L., Heckman, J., & Kautz, T. (2011) · Handbook of the Economics of Education · doi:10.1016/b978-0-444-53444-6.00001-8 · Cited by 1,204
Personality Psychology and Economics
Almlund, M., Duckworth, A. L., Heckman, J., & Kautz, T. (2011) · National Bureau of Economic Research · doi:10.3386/w16822 · Cited by 540
Bernier, A., Carlson, S. M., Deschênes, M., & Matte‐Gagné, C. (2012) · Developmental Science · doi:10.1111/j.1467-7687.2011.01093.x · Cited by 537
Top 10 Replicated Findings From Behavioral Genetics
Plomin, R., DeFries, J. C., Knopik, V. S., & Neiderhiser, J. M. (2016) · Perspectives on Psychological Science · doi:10.1177/1745691615617439 · Cited by 517
True grit and genetics: Predicting academic achievement from personality.
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Metadata
- Venue
- Monographs of the Society for Research in Child Development
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-11-07
- Volume
- 72
- Issue
- 3
- Pages
- 1-13
- ISSN
- 0037-976X (ISSN-L)
- 1540-5834
- OpenAlex
- W2113252376
- Cited by
- 314
- References
- 7
- FWCI
- 27.53
- Type
- journal article
- Language
- en
- Open access
- green
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