Individual differences in executive functions are almost entirely genetic in origin.
Friedman NP, Miyake A, Young SE, DeFries JC, Corley RP, Hewitt JK · 2008
grade Btwin-adoptionindependentreplicated
Sample
582 individuals from 293 same-sex twin pairs (316 monozygotic, 266 dizygotic)
Population
Colorado Longitudinal Twin Study; tested at about age 17 (mean 17.3, range 16.1 to 20.1).
Design
Latent-variable twin modelling on a battery of objective laboratory executive-function tasks, decomposing a Common EF factor plus updating-specific and shifting-specific factors. The latent approach is what makes the estimate credible - it strips task-specific measurement error before decomposing variance.
Key findings
Genetic variance in the Common EF factor is 99%. Updating-specific 56%, shifting-specific 42%. Shared environment is approximately zero at the latent level. The phenotypic latent correlations among the components were 0.74 (inhibiting-updating), 0.73 (inhibiting-shifting) and 0.40 (updating-shifting).
Genetic confound
This IS the genetic evidence. Classical twin design with its equal-environments assumption.
Replication notes
Replicated in an independent younger cohort by Engelhardt et al. 2015 (Texas Twin Project, ages 8-15), which found Common EF A = 1.00 with shared environment at zero. Consolidated by Friedman and Miyake 2017, which reports Common EF 96% heritable and stable from age 17 to 23 with the same genetic influences operating.
DOI / URL
10.1037/0096-3445.137.2.201
Effects
| Outcome | Metric | Value | Measure | Timing | Vs | Horizon | Class |
|---|---|---|---|---|---|---|---|
| Common executive-function factor, genetic variance | A (heritability) | 99% | standardized | age 17 | none | not-applicable | g |
| Updating-specific and shifting-specific factors | A (heritability) | 56% and 42% | standardized | age 17 | none | not-applicable | g |
| Shared environment at the latent level | C variance | approximately zero | standardized | age 17 | none | not-applicable | g |
Cited by
- Can executive function be trained, and does it transfer to learning?no effectconf: highgc: low