Cited by 343Cognitive Abilities and TestingIntergenerational and Educational Inequality StudiesGenetic Associations and Epidemiology

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Socioeconomic Status (SES) and Children's Intelligence (IQ): In a UK-Representative Sample SES Moderates the Environmental, Not Genetic, Effect on IQ

Open access

Abstract

BACKGROUND: The environment can moderate the effect of genes - a phenomenon called gene-environment (GxE) interaction. Several studies have found that socioeconomic status (SES) modifies the heritability of children's intelligence. Among low-SES families, genetic factors have been reported to explain less of the variance in intelligence; the reverse is found for high-SES families. The evidence however is inconsistent. Other studies have reported an effect in the opposite direction (higher heritability in lower SES), or no moderation of the genetic effect on intelligence. METHODS: Using 8716 twin pairs from the Twins Early Development Study (TEDS), we attempted to replicate the reported moderating effect of SES on children's intelligence at ages 2, 3, 4, 7, 9, 10, 12 and 14: i.e., lower heritability in lower-SES families. We used a twin model that allowed for a main effect of SES on intelligence, as well as a moderating effect of SES on the genetic and environmental components of intelligence. RESULTS: We found greater variance in intelligence in low-SES families, but minimal evidence of GxE interaction across the eight ages. A power calculation indicated that a sample size of about 5000 twin pairs is required to detect moderation of the genetic component of intelligence as small as 0.25, with about 80% power - a difference of 11% to 53% in heritability, in low- (-2 standard deviations, SD) and high-SES (+2 SD) families. With samples at each age of about this size, the present study found no moderation of the genetic effect on intelligence. However, we found the greater variance in low-SES families is due to moderation of the environmental effect - an environment-environment interaction. CONCLUSIONS: In a UK-representative sample, the genetic effect on intelligence is similar in low- and high-SES families. Children's shared experiences appear to explain the greater variation in intelligence in lower SES.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0030320

Cites

7 of 7 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Other studies have failed to replicate the G × SES finding, including the largest sample to date.

    “Other studies, however, have failed to replicate the finding (Bartels, van Beijsterveldt, & Boomsma, 2009; Kremen et al., 2005; Soden-Hensler, 2012; van der Sluis, Willemsen, de Geus, Boomsma, & Posthuma, 2008), including the largest sample to date (Hanscombe et al., 2012).”

    From Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence (2016) · cites this paper as Hanscombe et al., 2012

    The Discussion reports that this large UK-representative study did not replicate the predicted genetic interaction between SES and children's IQ. The Methods (Participants) report 8,716 twin pairs, but the passages in our copy do not establish that it was the largest sample to date. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

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

Flagged first, then by citations

Research works printed but not linked: 39

  1. KS Kendler, 1986, Models for the joint effects of genotype and environment on liability to psychiatric illness., American Journal of Psychiatry, 143, 279, 10.1176/ajp.143.3.279 · DOI
  2. R Plomin, 1977, Genotype-Environment Interaction and Correlation in Analysis of Human-Behavior., Psychological Bulletin, 84, 309, 10.1037/0033-2909.84.2.309 · DOI · Paper page
  3. KS Kendler, 2010, Interpretation of interactions: guide for the perplexed., British Journal of Psychiatry, 197, 170, 10.1192/bjp.bp.110.081331 · DOI
  4. M Rutter, 2006, Gene-environment interplay and psychopathology: multiple varieties but real effects., Journal of Child Psychology & Psychiatry, 47, 226, 10.1111/j.1469-7610.2005.01557.x · DOI · Paper page
  5. M Rutter, 2007, Gene-environment interdependence., Developmental Science, 10, 12, 10.1111/j.1467-7687.2007.00557.x · DOI
  6. S Fischbein, 1980, IQ and social class., Intelligence, 4, 51, 10.1016/0160-2896(80)90006-9 · DOI
  7. DC Rowe, 1999, Genetic and environmental influences on vocabulary IQ: parental education level as moderator., Child Development, 70, 1151, 10.1111/1467-8624.00084 · DOI · Paper page
  8. EM Tucker-Drob, 2010, Emergence of a Gene×Socioeconomic Status Interaction on Infant Mental Ability Between 10 Months and 2 Years., Psychological Science, 22, 125, 10.1177/0956797610392926 · DOI
  9. E Turkheimer, 2003, Socioeconomic status modifies heritability of IQ in young children., Psychological Science, 14, 623, 10.1046/j.0956-7976.2003.psci_1475.x · DOI · Paper page
  10. U Bronfenbrenner, 1994, Nature-nurture reconceptualized in developmental perspective: A bioecological model., Psychological Review, 101, 568, 10.1037/0033-295X.101.4.568 · DOI · Paper page
  11. S Scarr, 1992, Developmental theories for the 1990s: Development and individual differences., Child Development, 63, 1, 10.2307/1130897 · DOI
  12. S Scarr-Salapatek, 1971, Race, Social Class, and IQ., Science, 174, 1285, 10.1126/science.174.4016.1285 · DOI
  13. MD Grant, 2010, Does Parental Education have a Moderating Effect on the Genetic and Environmental Influences of General Cognitive Ability in Early Adulthood?, Behavior Genetics, 40, 438, 10.1007/s10519-010-9351-3 · DOI
  14. S van der Sluis, 2008, Gene-environment interaction in adults' IQ scores: measures of past and present environment., Behavior Genetics, 38, 348, 10.1007/s10519-008-9212-5 · DOI
  15. K Asbury, 2005, Environmental moderators of genetic influence on verbal and nonverbal abilities in early childhood., Intelligence, 33, 643, 10.1016/j.intell.2005.03.008 · DOI
  16. SA Burt, 2009, Rethinking environmental contributions to child and adolescent psychopathology: A meta-analysis of shared environmental influences., Psychological Bulletin, 135, 608, 10.1037/a0015702 · DOI · Paper page
  17. SE Bergen, 2007, Age-related changes in heritability of behavioral phenotypes over adolescence and young adulthood: A meta-analysis., Twin Research and Human Genetics, 10, 423, 10.1375/twin.10.3.423 · DOI · Paper page
  18. OSP Davis, 2009, Dramatic increase in heritability of cognitive development from early to middle childhood: an 8-year longitudinal study of 8,700 pairs of twins., Psychological Science, 20, 1301, 10.1111/j.1467-9280.2009.02433.x · DOI
  19. CMA Haworth, 2009, The heritability of general cognitive ability increases linearly from childhood to young adulthood., Molecular Psychiatry, 15, 1112, 10.1038/mp.2009.55 · DOI
  20. BR Oliver, 2007, Twins' Early Development Study (TEDS): A multivariate, longitudinal genetic investigation of language, cognition and behavior problems from childhood through adolescence., Twin Research and Human Genetics, 10, 96, 10.1375/twin.10.1.96 · DOI
  21. TS Price, 2000, Infant zygosity can be assigned by parental report questionnaire data., Twin Research, 3, 129, 10.1375/136905200320565391 · DOI
  22. B Oliver, 2002, The validity of parent-based assessment of non-verbal cognitive abilities of three-year olds., Early Child Development and Care, 172, 337, 10.1080/03004430212713 · DOI
  23. KJ Saudino, 1998, The validity of parent-based assessment of the cognitive abilities of 2-year-olds., British Journal of Developmental Psychology, 16, 349, 10.1111/j.2044-835X.1998.tb00757.x · DOI
  24. L Fenson, 2000, Short-form version of the MacArthur Communicative Development Inventories., Applied Psycholinguistics, 21, 95, 10.1017/S0142716400001053 · DOI
  25. SA Petrill, 2002, Testing cognitive abilities by telephone in a sample of 6-to 8-year-olds., Intelligence, 30, 353, 10.1016/S0160-2896(02)00087-9 · DOI
  26. D Wechsler, 1992, Wechsler intelligence scale for children - Third Edition UK (WISC-IIIUK) Manual
  27. OSP Davis, 2008, g in middle childhood: Moderate genetic and shared environmental influence using diverse measures of general cognitive ability at 7, 9 and 10 years in a large population sample of twins., Intelligence, 36, 68, 10.1016/j.intell.2007.01.006 · DOI
  28. MH Birnbaum, 2004, Human research and data collection via the internet., Annual Review of Psychology, 55, 803, 10.1146/annurev.psych.55.090902.141601 · DOI
  29. CMA Haworth, 2007, Internet cognitive testing of large samples needed in genetic research., Twin Research and Human Genetics, 10, 554, 10.1375/twin.10.4.554 · DOI
  30. S Boker, 2011, OpenMx: An Open Source Extended Structural Equation Modeling Framework., Psychometrika, 76, 306, 10.1007/s11336-010-9200-6 · DOI
  31. SR Jaffee, 2007, Gene-environment correlations: a review of the evidence and implications for prevention of mental illness., Molecular Psychiatry, 12, 432, 10.1038/sj.mp.4001950 · DOI
  32. R Plomin, 1991, The nature of nurture: Genetic influence on “environmental” measures., Behavioral and Brain Sciences, 14, 373, 10.1017/S0140525X00070278 · DOI · Paper page
  33. WN Venables, 2002, Modern Applied Statistics with S. Fourth edition
  34. M McGue, 1984, Adjustment of twin data for the effects of age and sex., Behavior Genetics, 14, 325, 10.1007/BF01080045 · DOI
  35. LJ Eaves, 2006, Genotype×Environment Interaction in Psychopathology: Fact or Artifact?, Twin Research and Human Genetics, 9, 1, 10.1375/twin.9.1.1 · DOI · Paper page
  36. RH Bradley, 2002, Socioeconomic status and child development., Annual Review of Psychology, 53, 371, 10.1146/annurev.psych.53.100901.135233 · DOI · Paper page
  37. PA Braveman, 2005, Socioeconomic status in health research: one size does not fit all., JAMA, 294, 2879, 10.1001/jama.294.22.2879 · DOI
  38. R Uher, 2006, Use of socioeconomic status in health research., JAMA, 295, 1770, 10.1001/jama.295.15.1770-a · DOI
  39. NG Martin, 1978, The power of the classical twin study., Heredity, 40, 97, 10.1038/hdy.1978.10 · DOI

Cited by

Sorted by citations

Metadata

Authors
Hanscombe, K. B., Trzaskowski, M., Haworth, C. M. A., Davis, O. S. P., Dale, P. S., & Plomin, R.
Affiliations
  • King's College London (GB)
  • European Bioinformatics Institute (GB)
  • University of New Mexico (US)
Corresponding author
Hanscombe, Ken B.
Venue
PLoS ONE
Published
2012-02-01
Volume
7
Issue
2
Pages
e30320
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2049023055
Cited by
343
References
7
Citations by year
2026: 9 · 2025: 13 · 2024: 21 · 2023: 14 · 2022: 33 · 2021: 25 · 2020: 48 · 2019: 22 · 2018: 35 · 2017: 21 · 2016: 28 · 2015: 27 · 2014: 19 · 2013: 21 · 2012: 7
FWCI
19.16
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Bristol Research (University of Bristol) (publishedVersion)
  • Research Portal (King's College London) (acceptedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
  • Explore Bristol Research (submittedVersion)
Funders
  • Wellcome Trust (WT088984)
  • National Institutes of Health
  • Medical Research Council (G0500079)
  • Economic and Social Research Council
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD046167, R01HD044454)
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
socioeconomic status, intelligence, heritability, gene-environment interaction, children, shared environment, Twins Early Development Study
MeSH terms
Adolescent, Adult, Age Factors, Analysis of Variance, Child, Child, Preschool, Educational Status, Environment, United Kingdom, Humans, Infant, Intelligence, Middle Aged, Occupations, Social Class, Young Adult, Gene-Environment Interaction

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