Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults
Author
Hofer, EdithRoshchupkin, Gennady V.
Adams, Hieab H.H.
Knol, Maria J.
Lin, Honghuang
Li, Shuo
Zare, Habil
Ahmad, Shahzad
Armstrong, Nicola J.
Satizabal, Claudia L.
Bernard, Manon
Bis, Joshua C.
Gillespie, Nathan A.
Luciano, Michelle
Mishra, Aniket
Scholz, Markus
Teumer, Alexander
Xia, Rui
Jian, Xueqiu
Mosley, Thomas H.
Saba, Yasaman
Pirpamer, Lukas
Seiler, Stephan
Becker, James T.
Carmichael, Owen
Rotter, Jerome I.
Psaty, Bruce M.
Lopez, Oscar L.
Amin, Najaf
van der Lee, Sven J.
Yang, Qiong
Himali, Jayandra J.
Maillard, Pauline
Beiser, Alexa S.
DeCarli, Charles
Karama, Sherif
Lewis, Lindsay
Harris, Mat
Bastin, Mark E.
Deary, Ian J.
Veronica Witte, A.
Beyer, Frauke
Loeffler, Markus
Mather, Karen A.
Schofield, Peter R.
Thalamuthu, Anbupalam
Kwok, John B.
Wright, Margaret J.
Ames, David
Trollor, Julian
Jiang, Jiyang
Brodaty, Henry
Wen, Wei
Vernooij, Meike W.
Hofman, Albert
Uitterlinden, André G.
Niessen, Wiro J.
Wittfeld, Katharina
Bülow, Robin
Völker, Uwe
Pausova, Zdenka
Bruce Pike, G.
Maingault, Sophie
Crivello, Fabrice
Tzourio, Christophe
Amouyel, Philippe
Mazoyer, Bernard
Neale, Michael C.
Franz, Carol E.
Lyons, Michael J.
Panizzon, Matthew S.
Andreassen, Ole A.
Dale, Anders M.
Logue, Mark
Grasby, Katrina L.
Jahanshad, Neda
Painter, Jodie N.
Colodro-Conde, Lucía
Bralten, Janita
Hibar, Derrek P.
Lind, Penelope A.
Pizzagalli, Fabrizio
Stein, Jason L.
Thompson, Paul M.
Medland, Sarah E.
Jahanshad, Neda
Painter, Jodie N.
Colodro-Conde, Lucía
Hibar, Derrek P.
Lind, Penelope A.
Ching, Christopher R.K.
McMahon, Mary Agnes B.
Shatokhina, Natalia
Zsembik, Leo C.P.
Agartz, Ingrid
Alhusaini, Saud
Almeida, Marcio A.A.
Date
2020-12-01Journal
Nature CommunicationsPublisher
Springer NatureType
Article
Metadata
Show full item recordAbstract
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.Sponsors
National Heart, Lung, and Blood InstituteIdentifier to cite or link to this item
http://hdl.handle.net/10713/13778ae974a485f413a2113503eed53cd6c53
10.1038/s41467-020-18367-y
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