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Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults
Journal article   Open access   Peer reviewed

Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults

Edith Hofer, Gennady V Roshchupkin, Hieab H H Adams, Maria J Knol, Honghuang Lin, Shuo Li, Habil Zare, Shahzad Ahmad, Nicola J Armstrong, Claudia L Satizabal, …
Nature communications, Vol.11(1), pp.4796-4796
09/22/2020
DOI: 10.1038/s41467-020-18367-y
PMCID: PMC7508833
PMID: 32963231
url
https://doi.org/10.1038/s41467-020-18367-yView
Published (Version of record) Open Access

Abstract

Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.
Brain Genomics Phenotype Adult Aged Aged, 80 and over Aging - genetics Chromosome Structures Cognition Female Genome-Wide Association Study Humans Male Mental Disorders - genetics Middle Aged Neurodegenerative Diseases - genetics Polymorphism, Single Nucleotide

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