Abstract
The Scarr-Rowe hypothesis proposes that the heritability of intelligence is higher in more advantaged socioeconomic contexts. An early demonstration of this hypothesis was Rowe and colleagues (Rowe et al., Child Dev 70:1151–1162, 1999), where an interaction between the heritability of verbal intelligence and parental education was identified in adolescent siblings in Wave I of the National Longitudinal Study of Adolescent to Adult Health. The present study repeated their original analysis at Wave I using contemporary methods, replicated the finding during young adulthood at Wave III, and analyzed the interaction longitudinally utilizing multiple measurements. We examined parental education, family income, and peer academic environment as potential moderators. Results indicated increased heritability and decreased shared environmental variance of verbal intelligence at higher levels of parental education and peer academic environment in adolescence. Moreover, moderation by peer academic environment persisted into adulthood with its effect partially attributable to novel gene-environment interactions that arose in the process of cognitive development.
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Data can be accessed through University of North Carolina—Chapel Hill at https://addhealth.cpc.unc.edu/.
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Mplus codes are made available on OSF at https://osf.io/mxd2h/.
References
Anderson DE, Flax ML (1968) A Comparison of the Peabody Picture Vocabulary Test with the Wechsler Intelligence Scale for Children. J Educ Res 62:114–116. https://doi.org/10.1080/00220671.1968.10883783
Araujo MC, Carneiro P, Cruz-Aguayo Y, Schady N (2016) Teacher quality and learning outcomes in kindergarten. Q J Econ 131:1415–1453. https://doi.org/10.1093/qje/qjw016
Asbury K, Wachs TD, Plomin R (2005) Environmental moderators of genetic influence on verbal and nonverbal abilities in early childhood. Intelligence 33:643–661. https://doi.org/10.1016/j.intell.2005.03.008
Barber N (2005) Educational and ecological correlates of IQ: A cross-national investigation. Intelligence 33:273–284. https://doi.org/10.1016/j.intell.2005.01.001
Bartels M, Rietveld MJH, Van Baal GCM, Boomsma DI (2002) Genetic and environmental influences on the development of intelligence. Behav Genet 32:237–249. https://doi.org/10.1023/A:1019772628912
Bates TC, Lewis GJ, Weiss A (2013) Childhood socioeconomic status amplifies genetic effects on adult intelligence. Psychol Sci 24:2111–2116. https://doi.org/10.1177/0956797613488394
Bates TC, Hansell NK, Martin NG, Wright MJ (2016) When does socioeconomic status (SES) moderate the heritability of IQ? No evidence for g x SES interaction for IQ in a representative sample of 1176 Australian adolescent twin pairs. Intelligence 56:10–15. https://doi.org/10.1016/j.intell.2016.02.003
Bifulco R, Fletcher JM, Ross SL (2008) The effect of classmate characteristics on individual outcomes: evidence from the add health. SSRN Electron J. https://doi.org/10.2139/ssrn.1259570
Bouchard TJ (2013) The Wilson EFFECT: the increase in heritability of IQ with age. Twin Res Hum Genet 16:923–930. https://doi.org/10.1017/thg.2013.54
Bouchard TJ, McGue M (1981) Familial studies of intelligence: a review. Science 212:1055–1059. https://doi.org/10.1126/science.7195071
Bouchard TJ, McGue M (2003) Genetic and environmental influences on human psychological differences. J Neurobiol 54:4–45. https://doi.org/10.1002/neu.10160
Briley DA, Tucker-Drob EM (2013) Explaining the increasing heritability of cognitive ability across development. Psychol Sci 24:1704–1713. https://doi.org/10.1177/0956797613478618
Brinch CN, Galloway TA (2011) Schooling in adolescence raises IQ scores. Proc Natl Acad Sci 109:425–430. https://doi.org/10.1073/pnas.1106077109
Bronfenbrenner U, Ceci SJ (1994) Nature-nuture reconceptualized in developmental perspective: A bioecological model. Psychol Rev 101:568–586. https://doi.org/10.1037/0033-295x.101.4.568
Calvin CM, Deary IJ, Webbink D et al (2012) Multivariate genetic analyses of cognition and academic achievement from two population samples of 174,000 and 166,000 School Children. Behav Genet 42:699–710. https://doi.org/10.1007/s10519-012-9549-7
Conger RD, Conger KJ, Martin MJ (2010) Socioeconomic status, family processes, and individual development. J Marriage Fam 72:685–704. https://doi.org/10.1111/j.1741-3737.2010.00725.x
Davies G, Tenesa A, Payton A et al (2011) Genome-wide association studies establish that human intelligence is highly heritable and polygenic. Mol Psychiatry 16:996–1005. https://doi.org/10.1038/mp.2011.85
Davis DW, Turkheimer E, Finkel D et al (2019) The Louisville twin study: PAST, present and future. Twin Res Hum Genet 22:735–740. https://doi.org/10.1017/thg.2019.37
Devlin B, Daniels M, Roeder K (1997) The heritability of IQ. Nature 388:468–471. https://doi.org/10.1038/41319
Domingue BW, Fletcher J (2020) Separating measured genetic and environmental effects: evidence linking parental genotype and adopted child outcomes. Behav Genet 50:301–309. https://doi.org/10.1007/s10519-020-10000-4
Figlio DN, Freese J, Karbownik K, Roth J (2017) Socioeconomic status and genetic influences on cognitive development. Proc Natl Acad Sci 114:13441–13446. https://doi.org/10.1073/pnas.1708491114
Friend A, DeFries JC, Olson RK (2008) Parental education moderates genetic influences on reading disability. Psychol Sci 19:1124–1130. https://doi.org/10.1111/j.1467-9280.2008.02213.x
Giangrande EJ, Beam CR, Carroll S et al (2019) Multivariate analysis of the Scarr-Rowe interaction across middle childhood and early adolescence. Intelligence 77:101400. https://doi.org/10.1016/j.intell.2019.101400
Gottschling J, Hahn E, Beam CR et al (2019) Socioeconomic status amplifies genetic effects in middle childhood in a large German twin sample. Intelligence 72:20–27. https://doi.org/10.1016/j.intell.2018.11.006
Grant MD, Kremen WS, Jacobson KC et al (2010) Does parental education have a moderating effect on the genetic and environmental influences of general cognitive ability in early adulthood? Behav Genet 40:438–446. https://doi.org/10.1007/s10519-010-9351-3
Hanscombe KB, Trzaskowski M, Haworth CMA et al (2012) Socioeconomic status (SES) and children’s intelligence (IQ): In a UK-representative sample SES moderates the environmental, not genetic. Effect on IQ. Plos ONE 7:e30320. https://doi.org/10.1371/journal.pone.0030320
Hanushek EA, Kain JF, Markman JM, Rivkin SG (2003) Does peer ability affect student achievement? J Appl Economet 18:527–544. https://doi.org/10.1002/jae.741
Harden KP, Turkheimer E, Loehlin JC (2007) Genotype by environment interaction in adolescents’ cognitive APTITUDE. Behav Genet 37:273–283. https://doi.org/10.1007/s10519-006-9113-4
Harden KP, Hill JE, Turkheimer E, Emery RE (2008) Gene-environment correlation and interaction in peer effects on adolescent alcohol and tobacco use. Behav Genet 38:339–347. https://doi.org/10.1007/s10519-008-9202-7
Harris KM, Halpern CT, Haberstick BC, Smolen A (2013) The national longitudinal study of adolescent health (Add Health) sibling pairs data. Twin Res Hum Genet 16:391–398. https://doi.org/10.1017/thg.2012.137
Harris KM (2013) The Add Health Study: Design and Accomplishments. https://doi.org/10.17615/C6TW87
Hart SA, Soden B, Johnson W et al (2013) Expanding the environment: gene x school-level SES interaction on reading comprehension. J Child Psychol Psychiatry 54:1047–1055. https://doi.org/10.1111/jcpp.12083
Hatch SL, Feinstein L, Link BG et al (2007) The Continuing Benefits of education: adult education and midlife cognitive ability in the British 1946 birth cohort. J Gerontol B Psychol Sci Soc Sci 62:S404–S414. https://doi.org/10.1093/geronb/62.6.s404
Haworth CMA, Wright MJ, Luciano M et al (2010) The heritability of general cognitive ability increases linearly from childhood to young adulthood. Mol Psychiatry 15:1112–1120. https://doi.org/10.1038/mp.2009.55
Hodapp AF, Gerken KC (1999) Correlations between scores for peabody picture vocabulary test—III and the Wechsler intelligence Scale for children—III. Psychol Rep 84:1139–1142. https://doi.org/10.2466/pr0.1999.84.3c.1139
Hogan DM, Tudge JRH (1999) Implications of Vygotsky’s theory for peer learning. In: O’Donnell AM, King A (eds) Cognitive perspectives on peer learning, 1st edn. Lawrence Erlbaum Associates Publishers, Mahwah, NJ, US, pp 39–65
Hoxby C (2000) Peer effects in the classroom: learning from gender and race variation. Natl Bureau Econ Res. https://doi.org/10.3386/w7867
Jensen A (1998) The g Factor. Praeger
Kirkpatrick RM, McGue M, Iacono WG (2015) Replication of a gene-environment interaction via multimodel inference: additive-genetic variance in adolescents’ general cognitive ability increases with family-of-origin socioeconomic status. Behav Genet 45:200–214. https://doi.org/10.1007/s10519-014-9698-y
Kremen WS, Jacobson KC, Xian H et al (2005) Heritability of word recognition in middle-aged men varies as a function of parental education. Behav Genet 35:417–433. https://doi.org/10.1007/s10519-004-3876-2
Lange K (2002) Genetic Identity Coefficients. Mathematical and Statistical Methods for Genetic Analysis. Springer, New York, pp 81–96
Lau JYF, Eley TC (2008) Disentangling gene-environment correlations and interactions on adolescent depressive symptoms: gene-environment interplay and adolescent depression. J Child Psychol Psychiatry 49:142–150. https://doi.org/10.1111/j.1469-7610.2007.01803.x
Loehlin JC, Corley RP, Reynolds CA, Wadsworth SJ (2022) Heritability × SES Interaction for IQ: Is it present in US adoption studies? Behav Genet 52:48–55. https://doi.org/10.1007/s10519-021-10080-w
Manuck SB, McCaffery JM (2014) Gene-environment interaction. Annu Rev Psychol 65:41–70. https://doi.org/10.1146/annurev-psych-010213-115100
Marioni RE, Davies G, Hayward C et al (2014) Molecular genetic contributions to socioeconomic status and intelligence. Intelligence 44:26–32. https://doi.org/10.1016/j.intell.2014.02.006
McQueen MB, Boardman JD, Domingue BW et al (2015) The national longitudinal study of adolescent to adult health (Add Health) sibling Pairs genome-wide Data. Behav Genet 45:12–23. https://doi.org/10.1007/s10519-014-9692-4
Morison SJ, Ellwood A-L (2000) Resiliency in the aftermath of deprivation: a second look at the development of romanian orphanage children. Merrill-Palmer Q 46:717–737
Muthén LK, Muthén BO (2017) Mplus statistical analysis with latentvariables: user’s guide., Eighth. Muthén & Muthén, Los Angeles
Neisser U, Boodoo G, Bouchard TJ et al (1996) Intelligence: Knowns and unknowns. Am Psychol 51:77–101. https://doi.org/10.1037/0003-066x.51.2.77
Patacchini E, Rainone E, Zenou Y (2017) Heterogeneous peer effects in education. J Econ Behav Organ 134:190–227. https://doi.org/10.1016/j.jebo.2016.10.020
Peetsma T, Van der Veen I, Koopman P, Van Schooten E (2007) Class composition influences on pupils’ cognitive development. Sch Eff Sch Improv 17:275–302. https://doi.org/10.1080/13803610500480114
Plomin R, Haworth CMA, Meaburn EL et al (2013) Common DNA markers can account for more than half of the genetic influence on cognitive abilities. Psychol Sci 24:562–568. https://doi.org/10.1177/0956797612457952
Purcell S (2002) Variance components models for gene-environment interaction in twin analysis. Twin Res 5:554–571. https://doi.org/10.1375/136905202762342026
R Core Team (2022) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria
Rhemtulla M, Tucker-Drob EM (2012) Gene-by-socioeconomic status interaction on school readiness. Behav Genet 42:549–558. https://doi.org/10.1007/s10519-012-9527-0
Rietveld CA, Esko T, Davies G et al (2014) Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci 111:13790–13794. https://doi.org/10.1073/pnas.1404623111
Rijsdijk FV, Vernon PA, Boomsma DI (2002) Application of hierarchical genetic models to Raven and WAIS subtests: a Dutch twin study. Behav Genet 32:199–210. https://doi.org/10.1023/a:1016021128949
Ritchie SJ, Tucker-Drob EM (2018) How much does education improve intelligence? A meta-analysis. Psychol Sci 29:1358–1369. https://doi.org/10.1177/0956797618774253
Rowe DC, Jacobson KC, Van den Oord EJCG (1999) Genetic and environmental influences on vocabulary iq: parental education level as moderator. Child Dev 70:1151–1162. https://doi.org/10.1111/1467-8624.00084
Scarr S (1992) Developmental theories for the 1990s: development and individual differences. Child Dev 63:1. https://doi.org/10.2307/1130897
Scarr-Salapatek S (1971) Race, social class, and IQ. Science 174:1285–1295. https://doi.org/10.1126/science.174.4016.1285
Schmitz S, Cherny SS, Fulker DW (1998) Increase in power through multivariate analyses. Behav Genet 28:357–363. https://doi.org/10.1023/a:1021669602220
Smith-Woolley E, Pingault J-B, Selzam S et al (2018) Differences in exam performance between pupils attending selective and non-selective schools mirror the genetic differences between them. Npj Sci Learn. https://doi.org/10.1038/s41539-018-0019-8
Spengler M, Gottschling J, Hahn E et al (2018) Does the heritability of cognitive abilities vary as a function of parental education? Evidence from a German twin sample. PLoS ONE 13:e0196597. https://doi.org/10.1371/journal.pone.0196597
Strenze T (2007) Intelligence and socioeconomic success: A meta-analytic review of longitudinal research. Intelligence 35:401–426. https://doi.org/10.1016/j.intell.2006.09.004
Sundet JM, Eilertsen DE, Tambs K, Magnus P (1994) No differential heritability of intelligence test scores across ability levels in norway. Behav Genet 24:337–339. https://doi.org/10.1007/bf01067534
Taylor J, Roehrig AD, Hensler BS et al (2010) Teacher quality moderates the genetic effects on early reading. Science 328:512–514. https://doi.org/10.1126/science.1186149
Terman LM (1911) The binet-simon scale for measuring intelligence : impressions gained by its application upon four hundred non-selected children. The Psychological Clinic 5:199–206
Tucker-Drob EM (2012) Preschools reduce early academic-achievement gaps. Psychol Sci 23:310–319. https://doi.org/10.1177/0956797611426728
Tucker-Drob EM, Bates TC (2016) Large Cross-national differences in gene x socioeconomic status interaction on intelligence. Psychol Sci 27:138–149. https://doi.org/10.1177/0956797615612727
Tucker-Drob EM, Rhemtulla M, Harden KP et al (2010) Emergence of a gene x socioeconomic status interaction on infant mental ability between 10 months and 2 years. Psychol Sci 22:125–133. https://doi.org/10.1177/0956797610392926
Tucker-Drob EM, Briley DA, Harden KP (2013) Genetic and environmental influences on cognition across development and context. Curr Dir Psychol Sci 22:349–355. https://doi.org/10.1177/0963721413485087
Turkheimer E, Horn EE (2014) Interactions Between Socioeconomic Status and Components of Variation in Cognitive Ability. Behavior Genetics of Cognition Across the Lifespan. Springer, New York, pp 41–68
Turkheimer E, Haley A, Waldron M et al (2003) Socioeconomic status modifies heritability of IQ in young children. Psychol Sci 14:623–628. https://doi.org/10.1046/j.0956-7976.2003.psci_1475.x
Turkheimer E, Harden KP, d’Onofrio B, Gottesman II (2009) The Scarr-Rowe interaction between measured socioeconomic status and the heritability of cognitive ability. In: McCartney K, Weinberg RA (eds) Experience and development: A festschrift in honor of Sandra Wood Scarr. Psychology Press, New York, NY, pp 81–97
Turkheimer E, Beam CR, Sundet JM, Tambs K (2017) Interaction between parental education and twin correlations for cognitive ability in a norwegian conscript sample. Behav Genet 47:507–515. https://doi.org/10.1007/s10519-017-9857-z
Van den Oord EJCG, Rowe DC (1997) An examination of genotype- environment interactions for academic achievement in an U.S. national longitudinal survey. Intelligence 25:205–228. https://doi.org/10.1016/s0160-2896(97)90043-x
Van der Sluis S, Willemsen G, de Geus EJC et al (2008) Gene-environment interaction in adults’ IQ scores: measures of past and present environment. Behav Genet 38:348–360. https://doi.org/10.1007/s10519-008-9212-5
Van der Sluis S, Posthuma D, Dolan CV (2012) A note on false positives and power in G x E modelling of twin data. Behav Genet 42:170–186. https://doi.org/10.1007/s10519-011-9480-3
Van Soelen ILC, Brouwer RM, Van Leeuwen M et al (2011) Heritability of verbal and performance intelligence in a pediatric longitudinal sample. Twin Res Hum Genet 14:119–128. https://doi.org/10.1375/twin.14.2.119
Visscher PM, Medland SE, Ferreira MAR et al (2006) Assumption-free estimation of heritability from genome-wide identity-by-descent sharing between full siblings. PLoS Genet. https://doi.org/10.1371/journal.pgen.0020041
Zavala C, Beam CR, Finch BK et al (2018) Attained SES as a moderator of adult cognitive performance: Testing gene–environment interaction in various cognitive domains. Dev Psychol 54:2356–2370. https://doi.org/10.1037/dev0000576
Zimmer RW, Toma EF (2000) Peer effects in private and public schools across countries. J Policy Anal Manage 19:75–92. https://doi.org/10.1002/(sici)1520-6688(200024)19:1%3c75::aid-pam5%3e3.0.co;2-w
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LiChen Dong conducted the main analyses and took primary responsibility for writing the manuscript, under Eric Turkheimer’s direct supervision. Christopher Beam, Evan Giangrande, Sean Womack, and Kristy Yoo are members of the Scarr-Rowe analysis team. Kristen Jacobson provided continuity with Wave I analyses.
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The LiChen Dong, Evan J. Giangrande, Sean R. Womack, Kristy Yoo, Christopher R. Beam, Kristen C. Jacobson, and Eric Turkheimer2 declare no conflict of interest.
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Dong, L., Giangrande, E.J., Womack, S.R. et al. A Longitudinal Analysis of Gene x Environment Interaction on Verbal Intelligence Across Adolescence and Early Adulthood. Behav Genet 53, 311–330 (2023). https://doi.org/10.1007/s10519-023-10145-y
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DOI: https://doi.org/10.1007/s10519-023-10145-y