Skip to main content
Log in

Twin Differentiation of Cognitive Ability Through Phenotype to Environment Transmission: The Louisville Twin Study

  • Original Research
  • Published:
Behavior Genetics Aims and scope Submit manuscript

Abstract

The Louisville Twin Study is one of the most intensive twin studies of cognitive ability. The repeated measurements of the twins are ideal for testing developmental twin models that allow for the accumulation of gene–environment correlation via a (P⇒E) transmission process to explain twins’ divergence in mean ability level over time. Using full-scale IQ scores from 566 pairs of twins (MZ = 278; DZ = 288), we tested whether a P⇒E transmission model provided better representation of actual developmental processes than a genetic simplex model. We also addressed whether the induced gene–environment correlation alters the meaning of the latent nonshared environmental factors with a simple numerical method for interpreting nonshared environmental factors in the context of P⇒E transmission. The results suggest that a P⇒E model provided better fit to twins’ FSIQ data than a genetic simplex model and the meaning of the nonshared environment was preserved in the context of P⇒E.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Beam CR, Turkheimer E (2013) Phenotype–environment correlations in longitudinal twin models. Dev Psychopathol 25(1):7–16

    Article  PubMed  Google Scholar 

  • Beam CR, Emery RE, Reynolds CA, Gatz M, Turkheimer E, Pedersen N (2015) Widowhood and the stability of late life depressive symptomatology in the swedish adoption twin study of aging. Behav Genet. doi:10.1007/s10519-015-9733-7

    Google Scholar 

  • Bronfenbrenner U (1994) Ecological models of human development. In: Gauvin M, Cole M (eds) Readings on the development of children. Freeman, New York, pp 37–43

    Google Scholar 

  • Bronfenbrenner U, Ceci SJ (1994) Nature-nurture reconceptualized in developmental perspective: a bioecological model. Psych Rev 101(4):568–586

    Article  Google Scholar 

  • Browne MW, Cudeck R (1992) Alternative ways of assessing model fit. Soc Methods Res 21(2):230–258

    Article  Google Scholar 

  • Burnham KP, Anderson DR (2004) Multimodel inference: understanding AIC and BIC in model selection. Soc Methods Res 33(2):261–304

    Article  Google Scholar 

  • de Kort JM, Dolan CV, Boomsma DI (2012) Accommodation of genotype–environment covariance in a longitudinal twin design. Neth J Psychol 67(3):81–90

    Google Scholar 

  • de Kort J, Dolan C, Kan KJ, van Beijsterveldt C, Bartels M, Boomsma D (2014) Can GE-covariance originating in phenotype to environment transmission account for the Flynn Effect? J Intel 2(3):82–105

    Article  Google Scholar 

  • Dickens WT, Flynn JR (2001) Heritability estimates versus large environmental effects: the IQ paradox resolved. Psychol Rev 108(2):346–369

    Article  PubMed  Google Scholar 

  • Dickens WT, Turkheimer E, Beam CR (2011) The social dynamics of the expression of genes for cognitive ability. In: Kendler KS, Jaffee S, Romer D (eds) The dynamic genome and mental health: the role of genes and environments in youth development. Oxford University Press, New York, pp 103–127

    Google Scholar 

  • Dolan CV, de Kort JM, van Beijsterveldt TCEM, Bartels M, Boomsma DI (2014) GE covariance through phenotype to environment transmission: an assessment in longitudinal twin data and application to childhood anxiety. Behav Genet 44(3):240–253

    Article  Google Scholar 

  • Eaves LJ, Krystyna L, Martin NG, Jinks JL (1977) A progressive approach to non-additivity and genotype–environmental covariance in the analysis of human differences. Br J Math Stat Psychol 30:1–42

    Article  Google Scholar 

  • Eaves LJ, Long J, Heath AC (1986) A theory of developmental change in quantitative phenotypes applied to cognitive development. Behav Genet 16(1):143–162

    Article  Google Scholar 

  • Fischbein S (1978) Heredity–environment interaction in the development of twins. Int J Behav Dev 1(4):313–322

    Article  Google Scholar 

  • Gottlieb G (2003) On making behavioral genetics truly developmental. Human Dev 46(6):337–355

    Article  Google Scholar 

  • McArdle JJ (1986) Latent variable growth within behavior genetic models. Behav Genet 16(1):163–200

    Article  Google Scholar 

  • McArdle JJ, Prescott CA (2005) Mixed-effects variance components models for biometric family analyses. Behav Genet 35(5):631–652

    Article  Google Scholar 

  • McCarthy D (1972) McCarthy scales of children’s abilities. Psychological Corporation, New York

    Google Scholar 

  • Mcgue M, Christensen K (2002) The heritability of level and rate-of-change in cognitive functioning in Danish twins aged 70 years and older. Exp Aging Res 28:435–451

    Article  PubMed  Google Scholar 

  • Muthén LK, Muthén BO (1998–2012) Mplus user’s guide. Muthén & Muthén, Los Angeles

  • Plomin R, Spinath FM (2004) Intelligence: genetics, genes, and genomics. J Personal Soc Psychol 86(1):112–129

    Article  Google Scholar 

  • R Core Team (2015) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna

  • Revelle W (2015) Psych: Procedures for personality and psychological research, Northwestern University, Evanston, Illinois. http://CRAN.R-project.org/package=psych Version = 1.5.4

  • Tucker-Drob EM, Rhemtulla M, Harden KP, Turkheimer E, Fask D (2011) Emergence of a Gene x socioeconomic status interaction on infant mental ability between 10 months and 2 years. Psychol Sci 22(1):125–133

    Article  PubMed Central  PubMed  Google Scholar 

  • Turkheimer E (2004) Spinach and ice cream: why social science is so difficult. In: DiLalla L (ed) Behavior genetics principles: perspectives in development, personality, and psychopathology. American Psychological Association, Washington, DC, pp 161–189

    Google Scholar 

  • Turkheimer E, Haley A, Waldron M, D' Onofrio B, Gottesman, II (2003) Socioeconomic status modifies heritability of IQ in young children. Psychol Sci 14(6): 623–628

    Article  PubMed  Google Scholar 

  • Wechsler D (1967) Wechsler preschool and primary scale of intelligence. Psychological Corporation, New York

    Google Scholar 

  • Wechsler D (1974) Wechsler intelligence scale for children-revised. Psychological Corporation, New York

    Google Scholar 

  • Wilson RS (1983) The Louisville Twin Study: developmental synchronies in behavior. Child Dev 54(2):298–316

    Article  PubMed  Google Scholar 

  • Wilson RS (1986) Continuity and change in cognitive ability profile. Behav Genet 16(1):45–60

    Article  Google Scholar 

  • Zonderman AB (1986) Twins, families, and the psychology of individual differences: the legacy of Steven G. Vandenberg. Behav Genet 16(1):11–24

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by the National Institute on Aging (F31AG044047-01A1, T32AG020500, T32AG000037-37, & R03AG048850-01).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christopher R. Beam.

Ethics declarations

Conflicts of Interest

C. R. Beam, E. Turkheimer, W. T. Dickens, and D. W. Davis declare that they have no conflict of interest.

Human and Animal Rights and Informed Consent

This report does not contain any studies with animals performed by any of the authors. Informed consent was obtained from all individual participants included in the study.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Beam, C.R., Turkheimer, E., Dickens, W.T. et al. Twin Differentiation of Cognitive Ability Through Phenotype to Environment Transmission: The Louisville Twin Study. Behav Genet 45, 622–634 (2015). https://doi.org/10.1007/s10519-015-9756-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10519-015-9756-0

Keywords

Navigation