Twin Differentiation of Cognitive Ability Through Phenotype to Environment Transmission: The Louisville Twin Study
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  • 作者:Christopher R. Beam ; Eric Turkheimer ; William T. Dickens…
  • 关键词:Louisville Twin Study ; Cognitive development ; Intelligence ; Genetic simplex ; Nonshared environment
  • 刊名:Behavior Genetics
  • 出版年:2015
  • 出版时间:November 2015
  • 年:2015
  • 卷:45
  • 期:6
  • 页码:622-634
  • 全文大小:687 KB
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  • 作者单位:Christopher R. Beam (1)
    Eric Turkheimer (2)
    William T. Dickens (3)
    Deborah Winders Davis (4)

    1. Departments of Psychology and Gerontology, University of Southern California, 3620 South McClintock Ave., Los Angeles, CA, 90089-1061, USA
    2. University of Virginia, Charlottesville, VA, USA
    3. Northeastern University, Boston, MA, USA
    4. University of Louisville, Louisville, KY, USA
  • 刊物类别:Biomedical and Life Sciences
  • 刊物主题:Biomedicine
    Human Genetics
    Neurosciences
    Evolutionary Biology
  • 出版者:Springer Netherlands
  • ISSN:1573-3297
文摘
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. Keywords Louisville Twin Study Cognitive development Intelligence Genetic simplex Nonshared environment

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