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Meta-Analysis
.2016 Feb;27(2):138-149.
doi: 10.1177/0956797615612727. Epub 2015 Dec 15.

Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence

Affiliations
Meta-Analysis

Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence

Elliot M Tucker-Drob et al. Psychol Sci.2016 Feb.

Abstract

A core hypothesis in developmental theory predicts that genetic influences on intelligence and academic achievement are suppressed under conditions of socioeconomic privation and more fully realized under conditions of socioeconomic advantage: a Gene × Childhood Socioeconomic Status (SES) interaction. Tests of this hypothesis have produced apparently inconsistent results. We performed a meta-analysis of tests of Gene × SES interaction on intelligence and academic-achievement test scores, allowing for stratification by nation (United States vs. non-United States), and we conducted rigorous tests for publication bias and between-studies heterogeneity. In U.S. studies, we found clear support for moderately sized Gene × SES effects. In studies from Western Europe and Australia, where social policies ensure more uniform access to high-quality education and health care, Gene × SES effects were zero or reversed.

Keywords: behavior genetics; intelligence; open data; socioeconomic status.

© The Author(s) 2015.

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Conflict of interest statement

Declaration of Conflicting Interests: The authors declared that they had no conflicts of interest with respect to their authorship or the publication of this article.

Figures

Fig. 1.
Fig. 1.
Variance in cognitive-test performance for the U.S. sample accounted forby genetic and environmental factors, graphed as a function ofsocioeconomic status (SES). Cognitive test scores were standardized to az scale within each data set prior to modelfitting. This plot is very close to (but not identical with) a plot inwhich they-axis represents the instantaneousproportion of variance for each level of SES.
Fig. 2.
Fig. 2.
Funnel plot of effect-size estimates for the Gene × SocioeconomicStatus interaction in the U.S. and non-U.S. samples. Each plottedpoint represents the standard error and effect-size estimate for astudy included in the meta-analysis. The triangle-shaped regionsindicate where 95% of the data points should lie if there is no(within-group) heterogeneity in population effect sizes. CI =confidence interval.
See this image and copyright information in PMC

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