Literature DB >> 31435119

Socioeconomic status amplifies genetic effects in middle childhood in a large German twin sample.

J Gottschling1,2, E Hahn1, C R Beam3, F M Spinath1, S Carroll4,5, E Turkheimer4.   

Abstract

The Scarr-Rowe hypothesis predicts that the heritability of cognitive abilities is higher in more privileged socioeconomic conditions, meaning that genetic potential can be more fully expressed in environments characterized by high socioeconomic status (SES) compared to low SES. This gene × SES interaction, however, has been replicated mostly in the United States, but not in other Western nations like the United Kingdom. In the current study, we tested the interaction between childhood SES and the heritability of cognitive ability in 3,074 German twin pairs comprising three age cohorts at different developmental stages (mean ages of 11, 17, and 23 years). Higher SES was associated with significantly higher mean cognitive ability scores in the two younger cohorts, with reduced variances at higher SES levels. Results further support the Scarr-Rowe hypothesis in middle childhood, and to some degree in adolescence, but not in adulthood. This indicates that the role of family SES as a moderator of the heritability of cognitive ability changes as children grow older. Moreover, children's shared experiences appear to be explain more variance in cognitive ability at the lower end of the SES distribution in middle childhood and adolescence.

Entities:  

Keywords:  TwinLife; cognitive ability; gene-environment interaction; modified twin correlation model; socioeconomic status

Year:  2018        PMID: 31435119      PMCID: PMC6703848          DOI: 10.1016/j.intell.2018.11.006

Source DB:  PubMed          Journal:  Intelligence        ISSN: 0160-2896


  38 in total

1.  Genetic and environmental influences on vocabulary IQ: parental education level as moderator.

Authors:  D C Rowe; K C Jacobson; E J Van den Oord
Journal:  Child Dev       Date:  1999 Sep-Oct

2.  Zygosity diagnosis in the absence of genotypic data: an approach using latent class analysis.

Authors:  Andrew C Heath; Dale R Nyholt; Rosalind Neuman; Pamela A F Madden; Kathleen K Bucholz; Richard D Todd; Elliot C Nelson; Grant W Montgomery; Nicholas G Martin
Journal:  Twin Res       Date:  2003-02

3.  The cognitive and identity development of twins at 16 years of age: a follow-up study of 32 twin pairs.

Authors:  Britta Alin Akerman; Eve Suurvee
Journal:  Twin Res       Date:  2003-08

4.  Variance components models for gene-environment interaction in twin analysis.

Authors:  Shaun Purcell
Journal:  Twin Res       Date:  2002-12

5.  The environment of poverty: multiple stressor exposure, psychophysiological stress, and socioemotional adjustment.

Authors:  Gary W Evans; Kimberly English
Journal:  Child Dev       Date:  2002 Jul-Aug

Review 6.  The environment of childhood poverty.

Authors:  Gary W Evans
Journal:  Am Psychol       Date:  2004 Feb-Mar

Review 7.  Socioeconomic status and child development.

Authors:  Robert H Bradley; Robert F Corwyn
Journal:  Annu Rev Psychol       Date:  2002       Impact factor: 24.137

8.  Heritability of word recognition in middle-aged men varies as a function of parental education.

Authors:  William S Kremen; Kristen C Jacobson; Hong Xian; Seth A Eisen; Brian Waterman; Rosemary Toomey; Michael C Neale; Ming T Tsuang; Michael J Lyons
Journal:  Behav Genet       Date:  2005-07       Impact factor: 2.805

Review 9.  Developmental theories for the 1990s: development and individual differences.

Authors:  S Scarr
Journal:  Child Dev       Date:  1992-02

10.  Socioeconomic status modifies heritability of IQ in young children.

Authors:  Eric Turkheimer; Andreana Haley; Mary Waldron; Brian D'Onofrio; Irving I Gottesman
Journal:  Psychol Sci       Date:  2003-11
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  2 in total

Review 1.  Twin Research in the Post-Genomic Era: Dissecting the Pathophysiological Effects of Adversity and the Social Environment.

Authors:  Jonathan D Turner; Conchita D'Ambrosio; Claus Vögele; Martin Diewald
Journal:  Int J Mol Sci       Date:  2020-04-29       Impact factor: 5.923

2.  Predicting educational achievement from genomic measures and socioeconomic status.

Authors:  Sophie von Stumm; Emily Smith-Woolley; Ziada Ayorech; Andrew McMillan; Kaili Rimfeld; Philip S Dale; Robert Plomin
Journal:  Dev Sci       Date:  2019-12-18
  2 in total

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