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Genetic and Environmental Influences on Cognition Across Development and Context
Open accessAbstract
Genes account for between approximately 50% and 70% of the variation in cognition at the population level. However, population-level estimates of heritability potentially mask marked subgroup differences. We review the body of empirical evidence indicating that (a) genetic influences on cognition increase from infancy to adulthood, and (b) genetic influences on cognition are maximized in more advantaged socioeconomic contexts (i.e., a Gene × Socioeconomic Status interaction). We discuss potential mechanisms underlying these effects, particularly transactional models of cognitive development. Transactional models predict that people in high-opportunity contexts actively evoke and select positive learning experiences on the basis of their genetic predispositions; these learning experiences, in turn, reciprocally influence cognition. The net result of this transactional process is increasing genetic influence with increasing age and increasing environmental opportunity.
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“Genetic differences are probabilistically associated with psychiatric, medical, and social outcomes, in part via environmental mechanisms that might differ across historical, political, and economic contexts61.”
From Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction. (2021) · cites this paper as [61]
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“Indeed, both phenomena may reflect a process of increased and accumulated effects of gene-environment transactions with the increased opportunity that comes with both social class and age (Tucker-Drob et al., 2013; Turkheimer & Horn, 2014).”
From Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence (2016) · cites this paper as Tucker-Drob et al., 2013
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Citations
Cites
Nature-nurture reconceptualized in developmental perspective: A bioecological model.
Bronfenbrenner, U., & Ceci, S. J. (1994) · Psychological Review · doi:10.1037/0033-295x.101.4.568 · Cited by 2,973
How People Make Their Own Environments: A Theory of Genotype Environment Effects
Scarr, S., & McCartney, K. (1983) · Child Development · doi:10.1111/j.1467-8624.1983.tb03884.x · Cited by 2,895
International data on educational attainment: updates and implications
Barro, R. J. (2001) · Oxford Economic Papers · doi:10.1093/oep/53.3.541 · Cited by 2,604
Whither opportunity?: rising inequality, schools, and children's life chances
(2012) · Choice Reviews Online · doi:10.5860/choice.49-5804 · Cited by 1,745
Genotype-environment interaction and correlation in the analysis of human behavior.
Plomin, R., DeFries, J. C., & Loehlin, J. C. (1977) · Psychological Bulletin · doi:10.1037/0033-2909.84.2.309 · Cited by 1,685
International Data on Educational Attainment Updates and Implications
Barro, R. J., & Lee, J. (2000) · National Bureau of Economic Research · doi:10.3386/w7911 · Cited by 1,601
Socioeconomic Status Modifies Heritability of IQ in Young Children
Turkheimer, E., Haley, A., Waldron, M., D'Onofrio, B., & Gottesman, I. I. (2003) · Psychological Science · doi:10.1046/j.0956-7976.2003.psci_1475.x · Cited by 1,373
Marsh, H. W., Trautwein, U., Lüdtke, O., Köller, O., & Baumert, J. (2005) · Child Development · doi:10.1111/j.1467-8624.2005.00853.x · Cited by 1,198
Intelligence: New findings and theoretical developments
Nisbett, R. E., Aronson, J., Blair, C., Dickens, W., Flynn, J., Halpern, D. F., & Turkheimer, E. (2012) · American Psychologist · doi:10.1037/a0026699 · Cited by 1,031
Locurto, C. (2024) · SpringerBriefs in psychology · doi:10.1007/978-3-031-69402-8 · Cited by 935
Familial Studies of Intelligence: A Review
Bouchard, T. J., & McGue, M. (1981) · Science · doi:10.1126/science.7195071 · Cited by 841
Genetic influences on measures of the environment: a systematic review
KENDLER, K. S., & BAKER, J. H. (2007) · Psychological Medicine · doi:10.1017/s0033291706009524 · Cited by 725
Heritability estimates versus large environmental effects: The IQ paradox resolved.
Dickens, W. T., & Flynn, J. R. (2001) · Psychological Review · doi:10.1037/0033-295x.108.2.346 · Cited by 663
The heritability of general cognitive ability increases linearly from childhood to young adulthood
Haworth, C. M. A., Wright, M. J., Luciano, M., Martin, N. G., de Geus, E. J. C., van Beijsterveldt, C. E. M., Bartels, M., Posthuma, D., Boomsma, D. I., Davis, O. S. P., et al. (2009) · Molecular Psychiatry · doi:10.1038/mp.2009.55 · Cited by 618
Genome-wide association studies establish that human intelligence is highly heritable and polygenic
Davies, G., Tenesa, A., Payton, A., Yang, J., Harris, S. E., Liewald, D., Ke, X., Le Hellard, S., Christoforou, A., Luciano, M., et al. (2011) · Molecular Psychiatry · doi:10.1038/mp.2011.85 · Cited by 608
(2013) · Acta Neurologica Belgica · doi:10.1007/13760.2240-2993 · Cited by 462
Growth to limits : the Western European welfare states since World War II
Flora, P. (1986) · Cited by 458
Genetic and Environmental Influences on Vocabulary IQ: Parental Education Level as Moderator
Rowe, D. C., Jacobson, K. C., & Van den Oord, E. J. C. G. (1999) · Child Development · doi:10.1111/1467-8624.00084 · Cited by 392
Scarr‐Salapatek, S. (1971) · Science · doi:10.1126/science.174.4016.1285 · Cited by 362
Lugo-Gil, J., & Tamis-LeMonda, C. S. (2008) · Child Development · doi:10.1111/j.1467-8624.2008.01176.x · Cited by 352
Education policy and the heritability of educational attainment
Heath, A. C., Berg, K., Eaves, L. J., Solaas, M. H., Corey, L. A., Sundet, J. M., Magnus, P. M., & Nance, W. E. (1985) · Nature · doi:10.1038/314734a0 · Cited by 345
Hanscombe, K. B., Trzaskowski, M., Haworth, C. M. A., Davis, O. S. P., Dale, P. S., & Plomin, R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030320 · Cited by 343
Behavioral genetics of cognitive ability: A life-span perspective.
McGue, M., Bouchard, T. J., Iacono, W. G., & Lykken, D. T. (1993) · Nature, nurture & psychology. · doi:10.1037/10131-003 · Cited by 304
Growing up and growing apart: a developmental meta-analysis of twin studies.
McCartney, K., Harris, M. J., & Bernieri, F. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.226 · Cited by 295
Latent variable growth within behavior genetic models
McArdle, J. J. (1986) · Behavior Genetics · doi:10.1007/bf01065485 · Cited by 285
Most Reported Genetic Associations With General Intelligence Are Probably False Positives
Chabris, C. F., Hebert, B. M., Benjamin, D. J., Beauchamp, J. P., Cesarini, D. A., van der Loos, M., Johannesson, M., Magnusson, P. K. E., Lichtenstein, P., Atwood, C., et al. (2012) · Psychological Science · doi:10.1177/0956797611435528 · Cited by 280
Behavior genetics and postgenomics
Charney, E. (2012) · Behavioral and Brain Sciences · doi:10.1017/s0140525x11002226 · Cited by 215
Genotype by Environment Interaction in Adolescents’ Cognitive Aptitude
Harden, K. P., Turkheimer, E. N., & Loehlin, J. C. (2006) · Behavior Genetics · doi:10.1007/s10519-006-9113-4 · Cited by 200
Self-citationTucker–Drob, E. M., Rhemtulla, M., Harden, K. P., Turkheimer, E. N., & Fask, D. (2010) · Psychological Science · doi:10.1177/0956797610392926 · Cited by 190
Self-citationBriley, D. A., & Tucker-Drob, E. M. (2013) · Psychological Science · doi:10.1177/0956797613478618 · Cited by 178
Self-citationTucker–Drob, E. M., & Harden, K. P. (2011) · Developmental Science · doi:10.1111/j.1467-7687.2011.01121.x · Cited by 156
Self-citationBehavior Genetics Association 42nd Annual Meeting Abstracts
Hill, W., Davies, G., Croning, M., Payton, A., Craig, L., Horan, M., Ollier, W., Starr, J., Pendleton, N., Grant, S. G., et al. (2012) · Behavior Genetics · doi:10.1007/s10519-012-9566-6 · Cited by 148
SES and CHAOS as environmental mediators of cognitive ability: A longitudinal genetic analysis
Hart, S. A., Petrill, S. A., Deckard, K. D., & Thompson, L. A. (2006) · Intelligence · doi:10.1016/j.intell.2006.08.004 · Cited by 123
Polderman, T. J. C., Gosso, M. F., Posthuma, D., Beijsterveldt, T. C. E. M. V., Heutink, P., Verhulst, F. C., & Boomsma, D. I. (2006) · PubMed · Cited by 121
Petrill, S. A., Lipton, P. A., Hewitt, J. K., Plomin, R. J., Cherny, S. S., Corley, R. P., & DeFries, J. C. (2004) · Developmental Psychology · doi:10.1037/0012-1649.40.5.805 · Cited by 110
Dramatic Increase in Heritability of Cognitive Development from Early to Middle Childhood
Davis, O. S. P., Haworth, C. M. A., & Plomin, R. J. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02433.x · Cited by 94
Longitudinal genetic study of verbal and nonverbal IQ from early childhood to young adulthood
Hoekstra, R. A., Bartels, M., & Boomsma, D. I. (2007) · Learning and Individual Differences · doi:10.1016/j.lindif.2007.05.005 · Cited by 92
Childhood Socioeconomic Status Amplifies Genetic Effects on Adult Intelligence
Bates, T. C., Lewis, G. J., & Weiss, A. (2013) · Psychological Science · doi:10.1177/0956797613488394 · Cited by 89
Tucker–Drob, E. M., & Harden, K. P. (2012) · Child Development · doi:10.1111/j.1467-8624.2011.01721.x · Cited by 78
Self-citationHeritability of Verbal and Performance Intelligence in a Pediatric Longitudinal Sample
van Soelen, I. L. C., Brouwer, R. M., van Leeuwen, M., Kahn, R. S., Pol, H. E. H., & Boomsma, D. I. (2011) · Twin Research and Human Genetics · doi:10.1375/twin.14.2.119 · Cited by 61
Bishop, E. G., Cherny, S. S., Corley, R. P., Plomin, R. J., DeFries, J. C., & Hewitt, J. K. (2002) · Intelligence · doi:10.1016/s0160-2896(02)00112-5 · Cited by 53
Gene-by-Socioeconomic Status Interaction on School Readiness
Rhemtulla, M., & Tucker–Drob, E. M. (2012) · Behavior Genetics · doi:10.1007/s10519-012-9527-0 · Cited by 44
Self-citationBehavior Genetics and Post Genomics
Charney, E. (2012) · DukeSpace (Duke University) · Cited by 44
McGue, M. K. (1997) · Nature · doi:10.1038/41199 · Cited by 30
Epps, S. R., & Huston, A. C. (2007) · Social Science Quarterly · doi:10.1111/j.1540-6237.2007.00461.x · Cited by 19
Longitudinal Genetic Analysis of Childhood IQ in 6- and 7-year-old Russian Twins
Malykh, S. B., Zyrianova, N. M., & Kuravsky, L. S. (2003) · Twin Research · doi:10.1375/136905203322296638 · Cited by 5
Kuhnle, S. (1986) · De Gruyter eBooks · doi:10.1515/9783110876475.117 · Cited by 5
Continuity and Change in General Cognitive Ability from 14 to 36 Months
Cherny, S. S., Fulker, D. W., Emde, R. N., Plomin, R. J., Corley, R. P., & DeFries, J. C. (2001) · doi:10.1093/oso/9780195130126.003.0015 · Cited by 3
Research works printed but not linked: 2
- Briley D. A., Psychological Science
- Scarr S., 1983, Child Development, 54, 424
Cited by
Sorted by citations
Friedman, N. P., & Miyake, A. (2017) · Cortex · doi:10.1016/j.cortex.2016.04.023 · Cited by 1,834
Education and cognitive functioning across the life span
Lövdén, M., Fratiglioni, L., Glymour, M. M., Lindenberger, U., & Tucker-Drob, E. M. (2020) · Psychological Science in the Public Interest · doi:10.1177/1529100620920576 · Cited by 1,224
Self-citationCognitive impairment in schizophrenia: aetiology, pathophysiology, and treatment
McCutcheon, R. A., Keefe, R. S. E., & McGuire, P. K. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-01949-9 · Cited by 861
Davies, G., Lam, M., Harris, S. E., Trampush, J. W., Luciano, M., Hill, W. D., Hagenaars, S. P., Ritchie, S. J., Marioni, R. E., Fawns‐Ritchie, C., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04362-x · Cited by 686
Processes of Personality Development in Adulthood: The TESSERA Framework
Wrzus, C., & Roberts, B. W. (2017) · Personality and Social Psychology Review · doi:10.1177/1088868316652279 · Cited by 559
Metadata
- Authors
- Tucker-Drob, E. M., Briley, D. A., & Harden, K. P.
- Affiliations
- Department of Psychology and Population Research Center, University of Texas at Austin
- The University of Texas at Austin (US)
- Venue
- Current Directions in Psychological Science
- Publisher
- SAGE Publications
- Published
- 2013-09-25
- Volume
- 22
- Issue
- 5
- Pages
- 349-355
- ISSN
- 0963-7214 (ISSN-L)
- 1467-8721
- PMC
- PMC4006996
- OpenAlex
- W2135600715
- Semantic Scholar
- 2dc1d7f0835ff2109e7e24c76ea0129d5c266c0c
- Cited by
- 295
- References
- 47
- Citations by year
- 2026: 18 · 2025: 33 · 2024: 28 · 2023: 25 · 2022: 33 · 2021: 33 · 2020: 26 · 2019: 18 · 2018: 21 · 2017: 18 · 2016: 18 · 2015: 16 · 2014: 7 · 2013: 1
- FWCI
- 18.91
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Current Directions in Psychological Science (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R24HD042849, R21HD069772, T32HD007081)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- environmental influences on cognition, socioeconomic status, learning opportunities, genetic susceptibility
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