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

Bibliographic Details
Title: Educational attainment polygenic scores are associated with cortical total surface area and regions important for language and memory
Authors: Brittany L. Mitchell, Gabriel Cuéllar-Partida, Katrina L. Grasby, Adrian I. Campos, Lachlan T. Strike, Liang-Dar Hwang, Aysu Okbay, Paul M. Thompson, Sarah E. Medland, Nicholas G. Martin, Margaret J. Wright, Miguel E. Rentería
Source: NeuroImage, Vol 212, Iss , Pp 116691- (2020)
Publisher Information: Elsevier, 2020.
Publication Year: 2020
Collection: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
Subject Terms: Educational attainment, Brain structure, Polygenic scores, Intelligence, Broca’s area, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
More Details: 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 ​
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1095-9572
Relation: http://www.sciencedirect.com/science/article/pii/S1053811920301786; https://doaj.org/toc/1095-9572
DOI: 10.1016/j.neuroimage.2020.116691
Access URL: https://doaj.org/article/1e2e809536ff43c7a63daa18634a6ebd
Accession Number: edsdoj.1e2e809536ff43c7a63daa18634a6ebd
Database: Directory of Open Access Journals
More Details
ISSN:10959572
DOI:10.1016/j.neuroimage.2020.116691
Published in:NeuroImage
Language:English