The DOI matches its Crossref record; 27 of the 30 references it cites were found in a registry or an index.
Explaining the Increasing Heritability of Cognitive Ability Across Development: A Meta-Analysis of Longitudinal Twin and Adoption Studies
Open accessAbstract
Genes account for increasing proportions of variation in cognitive ability across development, but the mechanisms underlying these increases remain unclear. We conducted a meta-analysis of longitudinal behavioral genetic studies spanning infancy to adolescence. We identified relevant data from 16 articles with 11 unique samples containing a total of 11,500 twin and sibling pairs who were all reared together and measured at least twice between the ages of 6 months and 18 years. Longitudinal behavioral genetic models were used to estimate the extent to which early genetic influences on cognition were amplified over time and the extent to which innovative genetic influences arose with time. Results indicated that in early childhood, innovative genetic influences predominate but that innovation quickly diminishes, and amplified influences account for increasing heritability following age 8 years.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“As heritability rises, the shared environmental component of traits like intelligence tends to become insignificant [30,31].”
From Global Ancestry and Cognitive Ability (2019) · cites this paper as [31]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“there was significant support for age differences in the a and c parameters, indicating that genetic variance increases and shared environmental variance decreases with age”
From Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence (2016) · cites this paper as Briley & Tucker-Drob, 2013
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“and increase with age (Briley & Tucker-Drob, 2013)”
From Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence (2016) · cites this paper as Briley & Tucker-Drob, 2013
The cited source says what the claim attributes to it.
In the citing paper
“We also replicated the well-established phenomenon of increasing genetic influences, and decreasing shared environmental influences, on intelligence with childhood age (e.g. Briley & Tucker-Drob, 2013; Haworth et al., 2009) in the current meta-analytic dataset.”
From Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence (2016) · cites this paper as Briley & Tucker-Drob, 2013
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Methodology for Genetic Studies of Twins and Families
Neale, M. C., & Cardon, L. R. (1992) · doi:10.1007/978-94-015-8018-2 · Cited by 4,005
Fixed-and random-effects models in meta-analysis.
Hedges, L. V., & Vevea, J. L. (1998) · Psychological Methods · doi:10.1037/1082-989x.3.4.486 · Cited by 2,977 · cited 1×
“This is advantageous because it allows the results of the model to generalize beyond the studies that were included in the analysis to a theoretical population of heterogeneous studies (Hedges & Vevea, 1998).”
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 · cited 1×
“Scarr and McCartney (1983) suggested that one’s genotype drives development, because “it is the discriminator of what environments are actually experienced” (p. 425).”
BackgroundMethodology for Genetic Studies of Twins and Families
Carothers, A. (1993) · doi:10.1136/jech.47.6.511-c · Cited by 2,445 · cited 2×
“This analysis hinges on whether more genetically similar siblings are also more similar in their level of cognitive ability (Neale & Cardon, 1992).”
Massive IQ gains in 14 nations: What IQ tests really measure.
Flynn, J. R. (1987) · Psychological Bulletin · doi:10.1037/0033-2909.101.2.171 · Cited by 1,918 · cited 2×
“First, we sought to replicate the trend of increasing heritability using only longitudinal data, which avoids validity threats associated with cross-sectional approaches (e.g., cohort effects; Baltes, 1968; Flynn, 1987).”
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
Cognitive Recovery in Socially Deprived Young Children: The Bucharest Early Intervention Project
Nelson, C. A., Zeanah, C. H., Fox, N. A., Marshall, P. J., Smyke, A. T., & Guthrie, D. (2007) · Science · doi:10.1126/science.1143921 · Cited by 951 · cited 2×
“One might expect this rationale to apply particularly well to a highly complex psychological outcome, such as cognition, which is thought to develop as a result of experience-dependent neural connections (Garlick, 2002) and is known to depend on environmental quality and educational experience (Ceci, 1991; Nelson et a…”
BackgroundAre Schools the Great Equalizer? Cognitive Inequality during the Summer Months and the School Year
Downey, D. B., von Hippel, P. T., & Broh, B. A. (2004) · American Sociological Review · doi:10.1177/000312240406900501 · Cited by 853
Ceci, S. J. (1991) · Developmental Psychology · doi:10.1037/0012-1649.27.5.703 · Cited by 837 · cited 2×
“One might expect this rationale to apply particularly well to a highly complex psychological outcome, such as cognition, which is thought to develop as a result of experience-dependent neural connections (Garlick, 2002) and is known to depend on environmental quality and educational experience (Ceci, 1991; Nelson et a…”
Sex differences in intrinsic aptitude for mathematics and science?: a critical review.
Spelke, E. (2005) · American Psychologist · doi:10.1037/0003-066x.60.9.950 · Cited by 801 · cited 2×
“…for increasingly less variation in psychological outcomes as children develop, and variation in environmental experiences will account for increasingly more of the variation in psychological outcomes (e.g., see Fryer & Levitt, 2006; Spelke, 2005; cf. McGue, Bouchard, Iacono, & Lykken, 1993).”
Research works printed but not linked: 6
- 10.3386/w12066 · DOI · Paper page
- Hanscombe K. B. Trzaskowski M. Haworth C. M. A. Davis O. S. P. Dale P. S. Plomin R. (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(2) e30320. Retrieved from http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0030320 · DOI · Paper page
- 10.1111/1467-8721.ep11512422 · DOI
- Muthén L. K., Muthén B. O. (2010). Mplus user’s guide (6th ed.). Los Angeles, CA: Author.
- Plomin R., DeFries J. C. (1985). Origins of individual differences in infancy: The Colorado Adoption Project. Orlando, FL: Academic Press.
- 10.1111/j.1467-8624.2011.01721.x · DOI
Cited by
Sorted by citations
Items 101–136 of 136
Menie, M. A. W. O., Peñaherrera-Aguirre, M., & Fuerst, J. (2025) · Twin Research and Human Genetics · doi:10.1017/thg.2025.17 · Cited by 3
Do Children Cause the Cognitive Stimulation they Receive? Modelling the Direction of Causality
Starr, A., Oginni, O. A., & von Stumm, S. (2024) · Behavior Genetics · doi:10.1007/s10519-024-10195-w · Cited by 3
Mönkediek, B., Diewald, M., & Lang, V. (2023) · Research in Social Stratification and Mobility · doi:10.1016/j.rssm.2023.100824 · Cited by 5
Hung, I., Ganiban, J. M., & Saudino, K. J. (2022) · Behavior Genetics · doi:10.1007/s10519-022-10129-4 · Cited by 4
“1 3 possible that, similar to general cognitive ability (Briley and Tucker-Drob 2013), the impact of shared environments on IC may decline across age such that they only significantly contribute to IC in infancy and early childhood (Fujisawa et al.”
BackgroundFeasibility and Uncertainty in Behavior Genetics for the Nonhuman Primate
Adams, M. J. (2013) · International Journal of Primatology · doi:10.1007/s10764-013-9722-8 · Cited by 4
“One intriguing example of this in primates is an increase in the heritability of human cognitive ability with age (Briley and Tucker-Drob 2013).”
BackgroundGnanadesikan, G. E., Bray, E. E., Levy, K., Horschler, D. J., Hargrave, S. H., Douglas, L. E. L. C., Kennedy, B. S., Watowich, M. M., Snyder‐Mackler, N., & MacLean, E. L. (2026) · Royal Society Open Science · doi:10.1098/rsos.241918 · Cited by 1
Zournatzidis, P., Kurt, Y., Fonagy, P., Vorria, P., & Luyten, P. (2025) · Development and Psychopathology · doi:10.1017/s0954579425100977 · Cited by 3
“While the high heritability of cognitive abilities has been robustly demonstrated (Briley & Tucker-Drob, 2013; Haworth et al., 2010), further research is necessary to replicate and clarify epigenetic effects on cognitive performance (Caramaschi et al., 2022).”
Cooke, M. E., Stephenson, M. E., Brislin, S. J., Latvala, A., Barr, P. B., Piirtola, M., Vuoksimaa, E., Rose, R. J., Kaprio, J. A., Dick, D. M., et al. (2024) · Addiction · doi:10.1111/add.16629 · Cited by 3
Corley, E., Fahey, L., Fitzgerald, J. C., Holleran, L., Walton, E., Morris, D. W., & Donohoe, G. J. (2023) · Genes Brain & Behavior · doi:10.1111/gbb.12850 · Cited by 2
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
“The Wilson effect has been replicated in another meta-analysis of 11 unique longitudinal samples (Briley & Tucker-Drob 2013) and specifically for verbal intelligence in a longitudinal study (Van Soelen et al.”
ResultGagnon, É., Boivin, M., Mimeau, C., Feng, B., Morneau‐Vaillancourt, G., Aubé, S., Brendgen, M. R., Vitaro, F., & Dionne, G. (2022) · Child Psychiatry & Human Development · doi:10.1007/s10578-022-01440-6 · Cited by 3
Issues and New Directions in Personality Disorder Genetics
Jang, K., & Choi, F. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108333931.007 · Cited by 2
Kievit, R., Lindenberger, U., Goodyer, I., Jones, P. G., Fonagy, P., Bullmore, E., & Dolan, R. (2019) · Psychology Science · doi:10.1177/0956797619843895 · Cited by 2
“…differences lead to a “reciprocal feedback loop between the phenotype and the environment” that amplifies initial differences (Beam & Turkheimer, 2013, p. 7; see also Briley & Tucker-Drob, 2013; Dickens & Flynn, 2001), a phenomenon observed even in genetically identical mice (Freund et al., 2013).”
An overview of developmental behavioral genetics
Austerberry, C., & Fearon, P. R. M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819262-7.00003-9 · Cited by 2
Development of cognition and intelligence
Schmiedek, F. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804674-6.00019-3 · Cited by 4
Malykh, S. B., Александрович, В. И., Ismatullina, V. I., Zaharov, I., Belova, A., & Lobaskova, M. M. (2016) · SHS Web of Conferences · doi:10.1051/shsconf/20162902026 · Cited by 3
Berg, D. T., Malawsky, D. S., Huang, W., Danecek, P., Walter, K., Kalantzis, G., Wade, I., Palmer, D. S., Birney, E., Verweij, K. J. H., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02787-5 · Cited by 6
Massaroni, V., Donne, V. D., Arcangeli, V., Moriconi, F., & Chieffo, D. P. R. (2026) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2026.101314 · Cited by 1
A developmental model of traits associated with resilience
Dampney-Jay, G., & Pluess, M. (2026) · International Journal of Behavioral Development · doi:10.1177/01650254251413131 · Cited by 2
“…resilience-associated traits have been found to be heritable, such as optimism (Mosing et al., 2009), self-esteem (Roy et al., 1995), mastery (Kiecolt et al., 2013), altruism (Rushton et al., 1986), cognitive ability (Briley & Tucker-Drob, 2013), and coping behaviour (Kendler et al., 1991).”
Morris, D. M. (2025) · Twin Research and Human Genetics · doi:10.1017/thg.2025.22 · Cited by 2
“In the most recent longitudinal meta-analysis of developmental changes in the genetic and environmental influences on intelligence, Briley and Tucker-Drob (2013) reported that non-shared environmental influences increased significantly as the interval between intelligence tests lengthened (see…”
Nurmi, A., Vepsäläinen, T., Pahkala, K., Puolakka, E., Pulkki-Råbäck, L., Elovainio, M. J., Juonala, M., Hutri, N., Kähönen, M. A. P., Lehtimäki, T. J., et al. (2025) · Social Science & Medicine · doi:10.1016/j.socscimed.2025.118325 · Cited by 1
Sommer, M., Arendasy, M. E., Punter, J. F., Feldhammer-Kahr, M., & Rieder, A. (2025) · Intelligence · doi:10.1016/j.intell.2024.101893 · Cited by 1
Sallis, H., Costantini, I., Chuong, M., Kantojärvi, K., Wootton, R. E., Jones, H. J., Sirignano, L., Frank, J., Streit, F., Witt, S. H., et al. (2024) · medRxiv · doi:10.1101/2024.09.12.24313313 · Cited by 2
The genetics of specific cognitive abilities
Procopio, F., Zhou, Q., Wang, Z.-Y., Gidziela, A., Rimfeld, K., Malanchini, M., & Plomin, R. (2022) · bioRxiv · doi:10.1101/2022.02.05.479237 · Cited by 1
“A surprising finding is that the heritability of g increases dramatically across the lifespan – from about 20% in infancy to 40% in childhood to 60% in adulthood (Briley & Tucker-Drob, 2013; Haworth et al., 2010; Plomin, 1986).”
BackgroundVerhoef, E., Shapland, C. Y., Fisher, S., Dale, P. S., & Pourcain, B. S. (2019) · bioRxiv · doi:10.1101/863118 · Cited by 1
Genetik der allgemeinen kognitiven Fähigkeit
Reis, A., & Spinath, F. M. (2018) · Medizinische Genetik · doi:10.1007/s11825-018-0201-7 · Cited by 3
“Jüngere Überblicksartikel [3] zeigen zudem einen Zuwachs der Bedeutung genetischer Einflüsse über die Lebensspanne.”
BackgroundOn becoming and being a musician : a mixed methods study of musicianship in children and adults
Rose, D. (2016) · doi:10.25602/gold.00019105 · Cited by 1
How human biological requirements shape and limit political evolution
Sirotkin, A. V. (2026) · Biosystems · doi:10.1016/j.biosystems.2026.105930
Heritability of Functional Literacy: Evidence from a Classical Twin Design
Игоревич, К. Н., & Kovaleva, G. (2026) · Behavior Genetics · doi:10.1007/s10519-026-10272-2
“In early childhood, heritability estimates are around 20–40%, rising to 50–60% in adolescence and reaching approxi - mately 60–80% in adulthood (Haworth et al. 2010; Briley and Tucker-Drob 2013 ).”
Socioeconomic context influences the heritability of child cortical structure
Norbom, L. B., Eilertsen, E. M., Dahl, A., Karl, V., Westlye, L. T., & Tamnes, C. K. (2025) · Communications Biology · doi:10.1038/s42003-025-09022-7
Predicting Individual Differences in Cognitive Ability from Brain Imaging and Genetics
Anderson, K. M., & Holmes, A. J. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108635462.021 · Cited by 3
Otermann, B., & van den Berg, S. M. (2016) · doi:10.1016/j.intell.2016.06.006
“Several studies show that the genetic variance component of intelligence is relatively higher for adults than for children (Bouchard & McGue, 2003; Briley & Tucker-Drob, 2013; Patrick, 2000; Plomin & Spinath, 2004; Reynolds, Finkel, & Zavala, 2014).”
BackgroundLes « patterns » d’attachement chez le jeune enfant : description et compréhension
Tereno, S., Guédeney, N., & Conversy, L. (2021) · Elsevier eBooks · doi:10.1016/b978-2-294-77731-8.00010-2 · Cited by 2
Alsharif, N. R., & Kazanas, S. A. (2021) · Springer eBooks · doi:10.1007/978-3-319-47829-6_516-1
Quinn, P. D., & D'Onofrio, B. M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.21826-9 · Cited by 9
eed for Service Attitudes among Police Leadership: The Ideal Leadership Profile: A Case Study
Ac, A. A. (2018) · International Journal of Forensic Sciences · doi:10.23880/ijfsc-16000152
Metadata
- Authors
- Briley, D. A., & Tucker-Drob, E. M.
- Affiliations
- The University of Texas at Austin (US)
- Department of Psychology and Population Research Center, University of Texas at Austin
- Corresponding author
- Briley, Daniel A.
- ORCID
- Briley, Daniel A.
- Venue
- Psychological Science
- Publisher
- SAGE Publications
- Published
- 2013-07-01
- Volume
- 24
- Issue
- 9
- Pages
- 1704-1713
- ISSN
- 0956-7976 (ISSN-L)
- 1467-9280
- PMC
- PMC3954471
- OpenAlex
- W2116895257
- Cited by
- 178
- References
- 30
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 10 · 2023: 14 · 2022: 19 · 2021: 16 · 2020: 15 · 2019: 13 · 2018: 15 · 2017: 13 · 2016: 13 · 2015: 13 · 2014: 12 · 2013: 3
- FWCI
- 18.48
- Type
- journal article
- Language
- en
- Update notices
- correction (2021-02-16)
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Psychological Science (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion)
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
- Keywords
- cognitive ability, heritability, gene-environment interaction
- MeSH terms
- Adolescent, Adolescent Behavior, Adoption, Age Factors, Child, Child Behavior, Child Development, Child, Preschool, Cognition, Female, Follow-Up Studies, Humans, Infant, Longitudinal Studies, Male, Twins, Siblings
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review