Familial Studies of Intelligence: A Review
Abstract
A summary of 111 studies identified in a survey of the world literature on familial resemblances in measured intelligence reveals a profile of average correlations consistent with a polygenic mode of inheritance. There is, however, a marked degree of heterogeneity of the correlations within familial groupings, which is not moderated by sex of familial pairing or by type of intelligence test used.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Heritability estimates from twin and pedigree studies of intelligence are large.
“heritability estimates from twin and pedigree studies of intelligence are large (Bouchard & McGue, 1981)”
From Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence (2016) · cites this paper as Bouchard & McGue, 1981
The estimated sibling correlation of 0.47 is identical to the weighted average of 69 studies based on a total of 26,473 American sibling pairs.
“The correlation in sibling ability, central to this model, is estimated at 0.47 (95% uncertainty bound: 0.46–0.48; see SI Appendix and SI Appendix, Table S6), identical to the weighted average of 69 studies based on a total of 26,473 American sibling pairs (15).”
From Flynn effect and its reversal are both environmentally caused (2018) · cites this paper as [15]
Cited by
Sorted by citations
Sources of human psychological differences: the Minnesota Study of Twins Reared Apart
Bouchard, T. J., Lykken, D. T., McGue, M., Segal, N. L., & Tellegen, A. (1990) · Science · doi:10.1126/science.2218526 · Cited by 1,373 · see citing works
Self-citationThe neuroscience of human intelligence differences
Deary, I. J., Penke, L., & Johnson, W. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2793 · Cited by 1,038 · see citing works
Genes, evolution, and personality
Bouchard, T. J., & Loehlin, J. C. (2001) · Behavior Genetics · doi:10.1023/a:1012294324713 · Cited by 1,085 · see citing works
Self-citationThe structural basis of inter-individual differences in human behaviour and cognition
Kanai, R., & Rees, G. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3000 · Cited by 1,055 · see citing works
The evolution of personality variation in humans and other animals.
Nettle, D. (2006) · American Psychologist · doi:10.1037/0003-066x.61.6.622 · Cited by 885 · see citing works
Moffitt, T. E. (1990) · Child Development · doi:10.1111/j.1467-8624.1990.tb02830.x · Cited by 822 · see citing works
Genetics and intelligence differences: five special findings
Plomin, R., & Deary, I. J. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.105 · Cited by 702 · see citing works
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 · see citing works
The origin of mind: Evolution of brain, cognition, and general intelligence.
Geary, D. C. (2005) · doi:10.1037/10871-000 · Cited by 551 · see citing works
van IJzendoorn, M. H., Juffer, F., & Poelhuis, C. W. K. (2005) · Psychological Bulletin · doi:10.1037/0033-2909.131.2.301 · Cited by 488 · see citing works
Neurobiology of intelligence: science and ethics
Gray, J. R., & Thompson, P. M. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1405 · Cited by 479 · see citing works
Devlin, B., Daniels, M., & Roeder, K. (1997) · Nature · doi:10.1038/41319 · Cited by 478 · see citing works
Episodic memory in normal aging and Alzheimer disease: Insights from imaging and behavioral studies
Tromp, D., Dufour, A., Lithfous, S., Pebayle, T., & Després, O. (2015) · Ageing Research Reviews · doi:10.1016/j.arr.2015.08.006 · Cited by 390 · see citing works
Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence
Tucker-Drob, E. M., & Bates, T. C. (2016) · Psychological Science · doi:10.1177/0956797615612727 · Cited by 359 · see citing works
Brooks-Gunn, J., Klebanov, P. K., & Duncan, G. J. (1996) · Child Development · doi:10.1111/j.1467-8624.1996.tb01741.x · Cited by 349 · see citing works
Genetic and Environmental Influences on Cognition Across Development and Context
Tucker-Drob, E. M., Briley, D. A., & Harden, K. P. (2013) · Current Directions in Psychological Science · doi:10.1177/0963721413485087 · Cited by 295 · see citing works
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 · see citing works
The nature of the black–white difference on various psychometric tests: Spearman's hypothesis
Jensen, A. R. (1985) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00020392 · Cited by 284 · see citing works
Nature, Nurture, and Cognitive Development from 1 to 16 Years: A Parent-Offspring Adoption Study
Plomin, R., Fulker, D. W., Corley, R., & DeFries, J. C. (1997) · Psychological Science · doi:10.1111/j.1467-9280.1997.tb00458.x · Cited by 254 · see citing works
Genetic 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 · see citing works
Flynn effect and its reversal are both environmentally caused
Bratsberg, B., & Rogeberg, O. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1718793115 · Cited by 199 · see citing works
The environment in raising early intelligence: A meta-analysis of the fadeout effect
Protzko, J. (2015) · Intelligence · doi:10.1016/j.intell.2015.10.006 · Cited by 128 · see citing works
Strong genetic overlap between executive functions and intelligence.
Engelhardt, L. E., Mann, F. D., Briley, D. A., Church, J. A., Harden, K. P., & Tucker-Drob, E. M. (2016) · Journal of Experimental Psychology: General · doi:10.1037/xge0000195 · Cited by 91 · see citing works
Genetic and environmental transactions underlying educational attainment
Johnson, W., Deary, I. J., & Iacono, W. G. (2009) · Intelligence · doi:10.1016/j.intell.2009.05.006 · Cited by 67 · see citing works
“In childhood, they run less than 50% of variance, but they increase to around 70% in adulthood ( Bouchard & McGue,1981; Deary, Spinath, & Bates, 2006; Plomin & Spinath, 2004).”
BackgroundHaworth, C. M. A., Wright, M. J., Martin, N. W., Martin, N. G., Boomsma, D. I., Bartels, M., Posthuma, D., Davis, O. S. P., Brant, A. M., Corley, R. P., et al. (2009) · Behavior Genetics · doi:10.1007/s10519-009-9262-3 · Cited by 65 · see citing works
Self-citationBreastfeeding, Maternal Education and Cognitive Function: A Prospective Study in Twins
Bartels, M., van Beijsterveldt, C. E. M., & Boomsma, D. I. (2009) · Behavior Genetics · doi:10.1007/s10519-009-9293-9 · Cited by 48 · see citing works
“Research on the causes of individual differences in cognitive functioning has established that the heritability of normal cognitive functioning increases over age, with a broad range heritability estimates varying from 25% in children to 85% in adults (e.g., Haworth et al. 2009; Bartels et al. 2002a; Bouchard and McGu…”
BackgroundInadequacies in the SES–Achievement model: Evidence from PISA and other studies
Marks, G. N., & O'Connell, M. (2021) · Review of Education · doi:10.1002/rev3.3293 · Cited by 47 · see citing works
Schmidt, F. L. (2017) · Archives of Scientific Psychology · doi:10.1037/arc0000033 · Cited by 45 · see citing works
Olszewski, A. K., Radoeva, P. D., Fremont, W., Kates, W. R., & Antshel, K. M. (2014) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2014.08.034 · Cited by 37 · see citing works
Genetic nurturing, missing heritability, and causal analysis in genetic statistics
Shen, H., & Feldman, M. W. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2015869117 · Cited by 28 · see citing works
- Authors
- Bouchard, T. J., & McGue, M.
- Affiliations
- University of Minnesota (US)
- ORCID
- Bouchard, Thomas J.
- Venue
- Science
- Published
- 1981-05-29
- Volume
- 212
- Issue
- 4498
- Pages
- 1055-1059
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2003117185
- Cited by
- 841
- References
- 0
- Citations by year
- 2026: 9 · 2025: 13 · 2024: 14 · 2023: 13 · 2022: 12 · 2021: 20 · 2020: 18 · 2019: 16 · 2018: 11 · 2017: 18 · 2016: 14 · 2015: 21 · 2014: 23 · 2013: 22 · 2012: 19
- FWCI
- 21.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- 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
- intelligence, familial resemblance, heritability, polygenic inheritance, genetic correlation, family studies, intelligence test scores, sex differences
- MeSH terms
- Family, Female, Genetics, Medical, Humans, Intelligence, Intelligence Tests, Male, Pregnancy, Sex Factors, Twins
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