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A Polygenic Score for Higher Educational Attainment is Associated with Larger Brains
Maxwell L Elliott1, Daniel W Belsky2,3, Kevin Anderson4
1Department of Psychology & Neuroscience, Duke University, Box 104410, Durham, NC, USA.
Cerebral Cortex (New York, N.Y. : 1991)
|September 15, 2018
Summary
Genetics influence intelligence partly through brain size. Higher polygenic scores correlate with larger brains and better cognitive test performance, suggesting brain size mediates this genetic link.
Area of Science:
- Neuroscience
- Genetics
- Cognitive Science
Background:
- Higher intelligence test scores correlate with larger brain size.
- Genetic factors are known to influence both brain size and intelligence.
- A hypothesis suggests genetics impact intelligence by promoting larger brain development.
Purpose of the Study:
- To test the hypothesis that genetics influence intelligence via brain size.
- To investigate the relationship between genetic factors, brain volume, and cognitive performance.
- To explore the mediating role of brain size in the genetic basis of intelligence.
Main Methods:
- Utilized four large imaging genetics studies with a combined sample size of 7965 participants.
- Employed polygenic scores derived from a genome-wide association study (GWAS) of educational attainment.
- Conducted a meta-analysis to assess associations between genetics, total brain volume, and cognitive test scores.
Main Results:
- Participants with higher polygenic scores for educational attainment performed better on cognitive tests.
- Larger total brain volume was associated with higher cognitive test scores.
- Individuals with higher polygenic scores also exhibited larger total brain volume.
- Brain size showed partial mediation effects between education polygenic scores and cognitive performance.
Conclusions:
- Genetic factors appear to influence cognitive performance partly through their effect on brain size.
- Integrating genome-wide association study (GWAS) data with brain imaging offers insights into the neurobiology of intelligence.
- Prioritizing population-representative samples is crucial for robust neuroscience research findings.
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