A Polygenic Score for Higher Educational Attainment is Associated with Larger Brains
Maxwell L. ElliottiD, Daniel W. BelskyiD, Kevin M. AndersoniD, David L. CorcoraniD, Tian GeiD, Annchen R. KnodtiD, Joseph A. Prinz, Karen SugdeniD, Benjamin S. WilliamsiD, David R. IrelandiD, Richie PoultoniD, Avshalom CaspiiD, Avram J. HolmesiD, Terrie E. MoffittiD, Ahmad R. HaririiD
Abstract
People who score higher on intelligence tests tend to have larger brains. Twin studies suggest the same genetic factors influence both brain size and intelligence. This has led to the hypothesis that genetics influence intelligence partly by contributing to development of larger brains. We tested this hypothesis with molecular genetic data using discoveries from a genome-wide association study (GWAS) of educational attainment, a correlate of intelligence. We analyzed genetic, brain imaging, and cognitive test data from the UK Biobank, the Dunedin Study, the Brain Genomics Superstruct Project (GSP), and the Duke Neurogenetics Study (DNS) (combined N=8,271). We measured genetics using polygenic scores based on published GWAS. We conducted meta-analysis to test associations among participants genetics, total brain volume (i.e., brain size), and cognitive test performance. Consistent with previous findings, participants with higher polygenic scores achieved higher scores on cognitive tests, as did participants with larger brains. Participants with higher polygenic scores also had larger brains. We found some evidence that brain size partly mediated associations between participants education polygenic scores and their cognitive test performance. Effect-sizes were larger in the population-based UK Biobank and Dunedin samples than in the GSP and DNS samples. Sensitivity analysis suggested this effect-size difference partly reflected restricted range of cognitive performance in the GSP and DNS samples. Recruitment and retention of population-representative samples should be a priority for neuroscience research. Findings suggest promise for studies integrating GWAS discoveries with brain imaging data to understand neurobiology linking genetics with individual differences in cognitive performance.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 50
- FWCI
- 0.96
- Field percentile
- top 33%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Structural architecture and brain network efficiency links polygenic scores to intelligence
Erhan Genç, Dorothea Metzen, … Robert Kumsta·Human Brain MappingPeer-reviewed·Apr 4, 2023
- Brain imaging correlates of general intelligence in UK Biobank
Simon R. Cox, SJ Ritchie, … Ian J. Deary·bioRxiv·Apr 4, 2019
- Brain Volumes, Thicknesses, and Surface Areas as Mediators of Genetic Factors and Childhood Adversity on Intelligence
Camille Michèle Williams, Hugo Peyre, Franck Ramus·Cerebral CortexPeer-reviewed·Dec 2, 2022
- Polygenic Scores for Cognitive Abilities and their Association with Different Aspects of General Intelligence - a Deep Phenotyping Approach
Erhan Genç, Caroline Schlüter, … Sebastian Ocklenburg·Molecular NeurobiologyPeer-reviewed·May 5, 2021
- The Shared Genetic Basis of Educational Attainment and Cerebral Cortical Morphology
Tian Ge, Chia‐Yen Chen, … Jordan W. Smoller·Cerebral CortexPeer-reviewed·Aug 29, 2018
- GWAS of 19,629 individuals identifies novel genetic variants for regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits
Bingxin Zhao, Tianyou Luo, … Hongtu Zhu B·Nature GeneticsPeer-reviewed·Nov 1, 2019