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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
Research works printed but not linked: 2
- Briley D. A., Psychological Science
- Scarr S., 1983, Child Development, 54, 424
Cited by
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Cheung, A. K., Harden, K. P., & Tucker–Drob, E. M. (2015) · Developmental Psychobiology · doi:10.1002/dev.21309 · Cited by 17
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Self-citationMusci, R. J., Masyn, K. E., Benke, K. S., Maher, B. S., Uhl, G. R., & Ialongo, N. S. (2015) · Development and Psychopathology · doi:10.1017/s0954579415000401 · Cited by 21
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Ward, K. M., Kraal, A. Z., Flowers, S. A., & Ellingrod, V. L. (2017) · Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy · doi:10.1002/phar.1968 · Cited by 17
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Giannouli, V., & Tsolaki, M. (2021) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-200254 · Cited by 16
Kandler, C., Zapko–Willmes, A., Richter, J., & Riemann, R. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-813995-0.00007-8 · Cited by 17
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Lima, R., Soares, F., van Poppel, M., Savinainen, S. E., Mäntyselkä, A., Haapala, E., & Lakka, T. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19158955 · Cited by 16
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Peng, P. (2023) · Mind Brain and Education · doi:10.1111/mbe.12375 · Cited by 20
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Hacking, S. M. (2024) · JMIR Bioinformatics and Biotechnology · doi:10.2196/52700 · Cited by 15
Harden, K. P., & Mann, F. D. (2015) · Child Development Perspectives · doi:10.1111/cdep.12135 · Cited by 15
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Hall, B. A., McGill, D. M., Sherwen, S. L., & Doyle, R. E. (2021) · Animals · doi:10.3390/ani11061721 · Cited by 17
Schwartz, J. A. (2015) · Intelligence · doi:10.1016/j.intell.2015.07.004 · Cited by 14
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Xu, C., Sun, J., Duan, H., Ji, F., Tian, X., Zhai, Y., Wang, S., Pang, Z., Zhang, D., Zhao, Z., et al. (2015) · Age and Ageing · doi:10.1093/ageing/afv015 · Cited by 14
Gene-environment interactions and school tracking during secondary education: Evidence from the U.S.
Uchikoshi, F., & Conley, D. (2021) · Research in Social Stratification and Mobility · doi:10.1016/j.rssm.2021.100628 · Cited by 12
Beaver, K. M., Schwartz, J. A., Al‐Ghamdi, M. S., Kobeisy, A. N., Dunkel, C. S., & van der Linden, D. (2014) · Intelligence · doi:10.1016/j.intell.2014.06.002 · Cited by 14
Abera, M., Tesfaye, M., Admassu, B., Hanlon, C., Ritz, C., Wibæk, R., Michaelsen, K. F., Friis, H., Wells, J. C. K., Andersen, G. S., et al. (2018) · British Journal Of Nutrition · doi:10.1017/s000711451800082x · Cited by 14
Zhao, W., Smith, J. A., Wang, Y.-Z., Chintalapati, M., Ammous, F., Yu, M., Moorjani, P., Ganna, A., Gross, A. L., Dey, S., et al. (2023) · The Journals of Gerontology Series A · doi:10.1093/gerona/glad057 · Cited by 12
Horner, D., Jepsen, J. R. M., Chawes, B., Vinding, R., Rosenberg, J. B., Mohammadzadeh, P., Luo, Y., Fagerlund, B., Flensborg‐Madsen, T., Wood, T. R., et al. (2025) · PLoS Medicine · doi:10.1371/journal.pmed.1004454 · Cited by 13
Luchetti, M., Ledermann, T., Aschwanden, D., Nikitin, J., O’Súilleabháin, P. S., Stéphan, Y., Terracciano, A., & Sutin, A. R. (2022) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbac086 · Cited by 13
Ouellette, A. R., Hadad, N., Deighan, A. G., Robinson, L. L., O’Connell, K. M. S., Freund, A., Churchill, G. A., & Kaczorowski, C. C. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.07.004 · Cited by 12
Tuerk, C., Saha, T., Bouchard, M. F., & Booij, L. (2023) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acad039 · Cited by 12
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Jiang, S., Sun, F., Yuan, P., Jiang, Y., & Wan, X. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114060 · Cited by 15
Raffington, L., Prindle, J., & Shing, Y. L. (2018) · Developmental Psychology · doi:10.1037/dev0000529 · Cited by 12
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Kalmoe, N. P., & Johnson, M. (2021) · Journal of Experimental Political Science · doi:10.1017/xps.2021.4 · Cited by 12
Sauce, B., Wiedenhoeft, J., Judd, N., & Klingberg, T. (2021) · npj Science of Learning · doi:10.1038/s41539-021-00096-6 · Cited by 11
Verrall, C. E., Tran, D., Kasparian, N. A., Williams, T. A., Oxenham, V., Ayer, J. G., Celermajer, D. S., & Cordina, R. (2024) · Pediatric Cardiology · doi:10.1007/s00246-023-03376-7 · Cited by 11
Bagaïni, A., Liu, Y., Kapoor, M., Son, G., Bürkner, P., Tisdall, L., & Mata, R. (2025) · Nature Human Behaviour · doi:10.1038/s41562-024-02085-2 · Cited by 11
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Hosseini‐Kamkar, N., & Morton, J. B. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01187 · Cited by 12
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Saß, S., Köller, O., & Zimmermann, F. (2025) · Gifted Child Quarterly · doi:10.1177/00169862241310871 · Cited by 14
Rodrigues, F. D. A. A., Nascimento, F. H. D. S., Longo, A. D. F., & da Silva, A. P. (2025) · International Journal of Applied Sciences and Radiation Research · doi:10.22399/ijasrar.25 · Cited by 10
Tarashkar, M., Qureshi, S., & Rahimi, A. (2024) · Urban forestry & urban greening · doi:10.1016/j.ufug.2024.128356 · Cited by 9
Bach, K. M., Reinhold, F., & Hofer, S. I. (2025) · npj Science of Learning · doi:10.1038/s41539-025-00358-7 · Cited by 16
Quantifying Genetic and Environmental Influence on Gray Matter Microstructure Using Diffusion MRI
Baxi, M., Biase, M. A. D., Lyall, A. E., Karayumak, S. C., Seitz, J., Ning, L., Makris, N., Rosene, D. L., Kubicki, M. R., & Yogesh Rathi, A. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa174 · Cited by 11
AlShamsi, A. S. (2021) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-021-00281-y · Cited by 11
Kenyhercz, F., Kósa, K., & Nagy, B. E. (2022) · BMC Pediatrics · doi:10.1186/s12887-022-03156-x · Cited by 9
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Mullineaux, P. Y., & DiLalla, L. F. (2015) · Journal of Youth and Adolescence · doi:10.1007/s10964-015-0306-0 · Cited by 12
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Yeter, Ö., Evcen, E., Rabagliati, H., & Özge, D. (2023) · Cognitive Development · doi:10.1016/j.cogdev.2023.101412 · Cited by 8
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Sand, H., Sticca, F., Wehrle, F., Eichelberger, D., Simoni, H., Jenni, O., & Lannen, P. (2024) · International Journal of Child Abuse & Neglect · doi:10.1016/j.chiabu.2024.106917 · Cited by 9
Wolfram, T., Ruks, M., & Spinath, F. M. (2024) · Research in Social Stratification and Mobility · doi:10.1016/j.rssm.2024.100980 · Cited by 7
Wang, J., Herold, F., Zhang, Z., Chen, Y., Pindus, D. M., Hillman, C. H., Yu, Q., Guan, K., Kramer, A. F., PAAS, F. G. W. C., et al. (2025) · Mental health and physical activity · doi:10.1016/j.mhpa.2025.100686 · Cited by 8
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McPherson, G. E., Blackwell, J., & Hallam, S. (2022) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190056285.013.3 · Cited by 9
Mönkediek, B. (2022) · Research in Social Stratification and Mobility · doi:10.1016/j.rssm.2022.100714 · Cited by 9
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Vogt-Yerem, R. L., Zheng, A., Briley, D. A., Malanchini, M., Harden, K. P., & Tucker–Drob, E. M. (2021) · Social Psychological and Personality Science · doi:10.1177/19485506211036610 · Cited by 8
Self-citationVedechkina, M., & Holmes, J. (2023) · Development and Psychopathology · doi:10.1017/s0954579423001220 · Cited by 8
Anglim, J., & Marty, A. (2024) · Social Psychological and Personality Science · doi:10.1177/19485506241281025 · Cited by 21
Wu, X., Liao, J., Chen, X., Xiao, J., Dui, X., Ma, T., Hu, L. T., Zhao, X., Bu, Q., Fan, M., et al. (2025) · GeroScience · doi:10.1007/s11357-024-01476-7 · Cited by 8
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Georgi, H. S., Frydrychová, Z., Vlckova, K. H., Vidovićová, L., Šulc, Z., & Lukavský, J. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01224 · Cited by 7
Kim, S. Y., Song, J., Wen, W., Chen, S., Zhang, M., Yan, J., López, B. G., Arredondo, M. M., & Ip, K. I. (2021) · Cognitive Research Principles and Implications · doi:10.1186/s41235-021-00333-x · Cited by 8
Freis, S. M., Alexander, J. D., Anderson, J. E., Corley, R. P., de la Vega, A. I., Gustavson, D. E., Vrieze, S. I., & Friedman, N. P. (2023) · Journal of Experimental Psychology General · doi:10.1037/xge0001471 · Cited by 10
Leve, L. D., Kanamori, M., Humphreys, K. L., Jaffee, S. R., Nusslock, R., Oro, V., & Hyde, L. W. (2024) · Prevention Science · doi:10.1007/s11121-024-01720-8 · Cited by 10
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Li, D., Chia, M., Low, S. T., Chua, T. B. K., Ma, J., Kim, H., Zhang, L., Tian, L., & Li, X. (2024) · European Journal of Pediatrics · doi:10.1007/s00431-024-05813-y · Cited by 7
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Kuo, S. S., Musket, C. W., Rupert, P. E., Almasy, L. A., Gur, R. C., Prasad, K. M. R., Roalf, D. R., Gur, R. E., Nimgaonkar, V. L., & Pogue‐Geile, M. F. (2022) · Schizophrenia Research · doi:10.1016/j.schres.2022.05.012 · Cited by 7
An in-laboratory stressor reveals unique genetic variation in child cortisol output.
Raffington, L., Malanchini, M., Grotzinger, A. D., Madole, J. W., Engelhardt, L. E., Sabhlok, A., Youn, C., Patterson, M. W., Harden, K. P., & Tucker–Drob, E. M. (2022) · Developmental Psychology · doi:10.1037/dev0001393 · Cited by 11
Self-citationPaquin, V., Pries, L.-K., ten Have, M., Bak, M., Günther, N., de Graaf, R., van Dorsselaer, S., Lin, B. D., van Eijk, K. R., Kenis, G., et al. (2022) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-022-02346-3 · Cited by 7
Wang, S., Wang, Y., Wan, Y., Su, P., Tao, F., & Sun, Y. (2023) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-023-02229-1 · Cited by 7
Quinn, P. D., & D'Onofrio, B. M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.21826-9 · Cited by 9
Nagpal, S., & Gibson, G. C. (2024) · medRxiv · doi:10.1101/2024.07.29.24311065 · Cited by 7
Ajnakina, O., Murray, R. M., Steptoe, A., & Cadar, D. (2022) · Psychological Medicine · doi:10.1017/s0033291721004827 · Cited by 6
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Dunkel, C. S., van der Linden, D., & Kawamoto, T. (2023) · Intelligence · doi:10.1016/j.intell.2023.101754 · Cited by 6
Kardan, O., Sereeyothin, C., Schertz, K. E., Angstadt, M., Weigard, A. S., Berman, M. G., Heitzeg, M. M., & Rosenberg, M. D. (2026) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2026.101719 · Cited by 7
Differential environmental influences on the development of cognitive abilities during childhood
Zheng, Y., Rijsdijk, F. V., & Arden, R. (2017) · Intelligence · doi:10.1016/j.intell.2017.11.005 · Cited by 6
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Gustavson, D. E., Panizzon, M. S., Kremen, W. S., Reynolds, C. A., Pahlen, S., Nygaard, M., Wod, M., Catts, V. S., Lee, T., Gatz, M., et al. (2021) · Behavior Genetics · doi:10.1007/s10519-021-10048-w · Cited by 7
Sapkota, S., Maillard, P., Stickel, A. M., Tarraf, W., González, K. A., Ivanović, V., Paredes, A. M., Cai, J., Isasi, C. R., Lipton, R. B., et al. (2024) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12622 · Cited by 5
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Giorgi, F., Tramonti, F., & Fanali, A. (2020) · Biosemiotics · doi:10.1007/s12304-020-09394-9 · Cited by 3
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Lundwall, R. A., & Rasmussen, C. G. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00424 · Cited by 5
Hasan, A., & Afzal, M. (2019) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2019.05.005 · Cited by 5
Longitudinal links between maternal factors and infant cognition: Moderation by infant sleep
Camerota, M., Gueron‐Sela, N., Grimes, M., & Propper, C. B. (2020) · Infancy · doi:10.1111/infa.12321 · Cited by 5
Younus, M., Rasheed, M., Lin, Z., Asiri, S. A., Almazni, I. A., Alshehri, M. A., Shafiq, S., Iqbal, I., Khan, A. U., Ullah, H., et al. (2022) · Molecular Syndromology · doi:10.1159/000526381 · Cited by 5
The latent structure of emerging cognitive abilities: An infant twin study
Bussu, G., Taylor, M. J., Tammimies, K., Ronald, A., & Falck‐Ytter, T. (2023) · Intelligence · doi:10.1016/j.intell.2023.101771 · Cited by 5
Breinholt, A., Ware, E. B., Fomby, P., Notterman, D. A., Schneper, L. M., & Mitchell, C. M. (2025) · Longitudinal and Life Course Studies · doi:10.1332/17579597y2025d000000042 · Cited by 5
Kenyhercz, F., & Nagy, B. E. (2021) · Early Child Development and Care · doi:10.1080/03004430.2021.1909007 · Cited by 5
Parent–Child Interactions in Infancy and Early Childhood
Humphreys, K. L., & Garon‐Bissonnette, J. (2025) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-111323-102255 · Cited by 5
Fraemke, D., Willems, Y. E., Okbay, A., Lindenberger, U., Zinn, S., Wagner, G. G., Richter, D., Harden, K. P., Tucker–Drob, E. M., Hertwig, R., et al. (2025) · Psychological Science · doi:10.1177/09567976251350965 · Cited by 8
Self-citationProspects of third-generation femtosecond laser technology in biological spectromicroscopy
Fattahi, H., Fattahi, Z., & Ghorbani, A. (2018) · Journal of Optics · doi:10.1088/2040-8986/aab79a · Cited by 4
Šimunović, M. (2023) · British Journal of Guidance and Counselling · doi:10.1080/03069885.2023.2212321 · Cited by 4
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Svraka, B., Lasker, J., & Ujma, P. P. (2024) · Scientific Reports · doi:10.1038/s41598-024-77904-7 · Cited by 10
Zheng, Y., & Hu, Y. (2020) · Journal of Personality · doi:10.1111/jopy.12610 · Cited by 4
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Archana, J. V., & Sreedevi, P. (2021) · Springer eBooks · doi:10.1007/978-3-030-72400-9_13 · Cited by 5
Johannsen, M., & Krüger, N. (2022) · Children · doi:10.3390/children9060818 · Cited by 5
Mistry‐Patel, S., & Brooker, R. J. (2022) · Developmental Psychology · doi:10.1037/dev0001461 · Cited by 7
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Huguet, M., Robin, S., Hudaverdian, S., Tanguy, S., Leterme-Prunier, N., Cloteau, R., Baulande, S., Legoix-Né, P., Legeai, F., Simon, J., et al. (2024) · BMC Genomics · doi:10.1186/s12864-023-09776-6 · Cited by 4
Fuerst, J. G. R., & Dalliard, M. (2014) · Open Behavioral Genetics · doi:10.26775/obg.2014.09.15 · Cited by 5
Memory and potential correlates among children in Jordan
Almomani, F., Al‐Sheyab, N., Al-Momani, M. O., & Alqhazo, M. T. (2018) · BMC Psychiatry · doi:10.1186/s12888-018-1727-6 · Cited by 4
Menardi, A., Reineberg, A. E., Smith, L. L., Favaretto, C., Vallesi, A., Banich, M. T., & Santarnecchi, E. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02388-4 · Cited by 4
Genetic and Socioeconomic Achievement Gaps in Elementary School
Houmark, M. A., Ronda, V., Agerbo, E., Mortensen, P. B., & Rosholm, M. (2025) · The Economic Journal · doi:10.1093/ej/ueaf033 · Cited by 3
Dong, L., Giangrande, E. J., Womack, S. R., Yoo, K., Beam, C. R., Jacobson, K. C., & Turkheimer, E. N. (2023) · Behavior Genetics · doi:10.1007/s10519-023-10145-y · Cited by 3
Paul, S. E., Elsayed, N., Colbert, S. M. C., Bogdan, R., Hatoum, A. S., & Barch, D. M. (2024) · Development and Psychopathology · doi:10.1017/s0954579424001573 · Cited by 3
Александрович, В. И., Ismatullina, V. I., Zakharov, I., Vasin, G. M., & Malykh, S. B. (2016) · ITM Web of Conferences · doi:10.1051/itmconf/20160602010 · Cited by 3
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The genetic and environmental composition of socioeconomic status in Norway
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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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