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

Authors :
Hofer E
Roshchupkin GV
Adams HHH
Knol MJ
Lin H
Li S
Zare H
Ahmad S
Armstrong NJ
Satizabal CL
Bernard M
Bis JC
Gillespie NA
Luciano M
Mishra A
Scholz M
Teumer A
Xia R
Jian X
Mosley TH
Saba Y
Pirpamer L
Seiler S
Becker JT
Carmichael O
Rotter JI
Psaty BM
Lopez OL
Amin N
van der Lee SJ
Yang Q
Himali JJ
Maillard P
Beiser AS
DeCarli C
Karama S
Lewis L
Harris M
Bastin ME
Deary IJ
Veronica Witte A
Beyer F
Loeffler M
Mather KA
Schofield PR
Thalamuthu A
Kwok JB
Wright MJ
Ames D
Trollor J
Jiang J
Brodaty H
Wen W
Vernooij MW
Hofman A
Uitterlinden AG
Niessen WJ
Wittfeld K
Bülow R
Völker U
Pausova Z
Bruce Pike G
Maingault S
Crivello F
Tzourio C
Amouyel P
Mazoyer B
Neale MC
Franz CE
Lyons MJ
Panizzon MS
Andreassen OA
Dale AM
Logue M
Grasby KL
Jahanshad N
Painter JN
Colodro-Conde L
Bralten J
Hibar DP
Lind PA
Pizzagalli F
Stein JL
Thompson PM
Medland SE
Sachdev PS
Kremen WS
Wardlaw JM
Villringer A
van Duijn CM
Grabe HJ
Longstreth WT Jr
Fornage M
Paus T
Debette S
Ikram MA
Schmidt H
Schmidt R
Seshadri S
Source :
Nature communications [Nat Commun] 2020 Sep 22; Vol. 11 (1), pp. 4796. Date of Electronic Publication: 2020 Sep 22.
Publication Year :
2020

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.

Details

Language :
English
ISSN :
2041-1723
Volume :
11
Issue :
1
Database :
MEDLINE
Journal :
Nature communications
Publication Type :
Academic Journal
Accession number :
32963231
Full Text :
https://doi.org/10.1038/s41467-020-18367-y