TY - JOUR
T1 - Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults
AU - Hofer, Edith
AU - Roshchupkin, Gennady V.
AU - Adams, Hieab H.H.
AU - Knol, Maria J.
AU - Lin, Honghuang
AU - Li, Shuo
AU - Zare, Habil
AU - Ahmad, Shahzad
AU - Armstrong, Nicola J.
AU - Satizabal, Claudia L.
AU - Bernard, Manon
AU - Bis, Joshua C.
AU - Gillespie, Nathan A.
AU - Luciano, Michelle
AU - Mishra, Aniket
AU - Scholz, Markus
AU - Teumer, Alexander
AU - Xia, Rui
AU - Jian, Xueqiu
AU - Mosley, Thomas H.
AU - Saba, Yasaman
AU - Pirpamer, Lukas
AU - Seiler, Stephan
AU - Becker, James T.
AU - Carmichael, Owen
AU - Rotter, Jerome I.
AU - Psaty, Bruce M.
AU - Lopez, Oscar L.
AU - Amin, Najaf
AU - van der Lee, Sven J.
AU - Yang, Qiong
AU - Himali, Jayandra J.
AU - Maillard, Pauline
AU - Beiser, Alexa S.
AU - Brouwer, Rachel M.
AU - Buimer, Elizabeth E.L.
AU - de Zwarte, Sonja M.C.
AU - Klein, Marieke
AU - van Haren, Neeltje E.M.
AU - Veldink, Jan H.
AU - Ayesa-Arriola, Rosa
AU - Koops, Sanne
AU - Luykx, Jurjen J.
AU - Cahn, Wiepke
AU - Hillegers, Manon H.J.
AU - Hulshoff Pol, Hilleke E.
AU - Kahn, René S.
AU - Ophoff, Roel A.
AU - Sommer, Iris E.
AU - Weinberger, Daniel R.
N1 - Publisher Copyright:
© 2020, The Author(s).
PY - 2020/12/1
Y1 - 2020/12/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85091289777
U2 - 10.1038/s41467-020-18367-y
DO - 10.1038/s41467-020-18367-y
M3 - Article
C2 - 32963231
AN - SCOPUS:85091289777
SN - 2041-1723
VL - 11
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 4796
ER -