Literature DB >> 32126298

Educational attainment polygenic scores are associated with cortical total surface area and regions important for language and memory.

Brittany L Mitchell1, Gabriel Cuéllar-Partida2, Katrina L Grasby3, Adrian I Campos4, Lachlan T Strike5, Liang-Dar Hwang2, Aysu Okbay6, Paul M Thompson7, Sarah E Medland3, Nicholas G Martin8, Margaret J Wright9, Miguel E Rentería8.   

Abstract

It is well established that higher cognitive ability is associated with larger brain size. However, individual variation in intelligence exists despite brain size and recent studies have shown that a simple unifactorial view of the neurobiology underpinning cognitive ability is probably unrealistic. Educational attainment (EA) is often used as a proxy for cognitive ability since it is easily measured, resulting in large sample sizes and, consequently, sufficient statistical power to detect small associations. This study investigates the association between three global (total surface area (TSA), intra-cranial volume (ICV) and average cortical thickness) and 34 regional cortical measures with educational attainment using a polygenic scoring (PGS) approach. Analyses were conducted on two independent target samples of young twin adults with neuroimaging data, from Australia (N ​= ​1097) and the USA (N ​= ​723), and found that higher EA-PGS were significantly associated with larger global brain size measures, ICV and TSA (R2 ​= ​0.006 and 0.016 respectively, p ​< ​0.001) but not average thickness. At the regional level, we identified seven cortical regions-in the frontal and temporal lobes-that showed variation in surface area and average cortical thickness over-and-above the global effect. These regions have been robustly implicated in language, memory, visual recognition and cognitive processing. Additionally, we demonstrate that these identified brain regions partly mediate the association between EA-PGS and cognitive test performance. Altogether, these findings advance our understanding of the neurobiology that underpins educational attainment and cognitive ability, providing focus points for future research.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain structure; Broca’s area; Educational attainment; Intelligence; Polygenic scores

Mesh:

Year:  2020        PMID: 32126298     DOI: 10.1016/j.neuroimage.2020.116691

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  6 in total

1.  Educational attainment polygenic scores, socioeconomic factors, and cortical structure in children and adolescents.

Authors:  Emily C Merz; Jordan Strack; Hailee Hurtado; Uku Vainik; Michael Thomas; Alan Evans; Budhachandra Khundrakpam
Journal:  Hum Brain Mapp       Date:  2022-07-27       Impact factor: 5.399

2.  Shared Genetic Etiology between Cortical Brain Morphology and Tobacco, Alcohol, and Cannabis Use.

Authors:  Jill A Rabinowitz; Adrian I Campos; Jue-Sheng Ong; Luis M García-Marín; Sarael Alcauter; Brittany L Mitchell; Katrina L Grasby; Gabriel Cuéllar-Partida; Nathan A Gillespie; Andrew S Huhn; Nicholas G Martin; Paul M Thompson; Sarah E Medland; Brion S Maher; Miguel E Rentería
Journal:  Cereb Cortex       Date:  2022-02-08       Impact factor: 4.861

3.  Of differing methods, disputed estimates and discordant interpretations: the meta-analytical multiverse of brain volume and IQ associations.

Authors:  Jakob Pietschnig; Daniel Gerdesmann; Michael Zeiler; Martin Voracek
Journal:  R Soc Open Sci       Date:  2022-05-11       Impact factor: 3.653

4.  Human brain anatomy reflects separable genetic and environmental components of socioeconomic status.

Authors:  Hyeokmoon Kweon; Gökhan Aydogan; Alain Dagher; Danilo Bzdok; Christian C Ruff; Gideon Nave; Martha J Farah; Philipp D Koellinger
Journal:  Sci Adv       Date:  2022-05-18       Impact factor: 14.957

5.  Distinct Regionalization Patterns of Cortical Morphology are Associated with Cognitive Performance Across Different Domains.

Authors:  C E Palmer; W Zhao; R Loughnan; J Zou; C C Fan; W K Thompson; A M Dale; T L Jernigan
Journal:  Cereb Cortex       Date:  2021-07-05       Impact factor: 5.357

6.  Ethnic Identity and Genome Wide Runs of Homozygosity.

Authors:  Martin Fieder; Brittany L Mitchell; Scott Gordon; Susanne Huber; Nicholas G Martin
Journal:  Behav Genet       Date:  2021-03-16       Impact factor: 2.805

  6 in total

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