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dc.contributor.authorHofer, Edith
dc.contributor.authorRoshchupkin, Gennady V.
dc.contributor.authorAdams, Hieab H.H.
dc.contributor.authorKnol, Maria J.
dc.contributor.authorLin, Honghuang
dc.contributor.authorLi, Shuo
dc.contributor.authorZare, Habil
dc.contributor.authorAhmad, Shahzad
dc.contributor.authorArmstrong, Nicola J.
dc.contributor.authorSatizabal, Claudia L.
dc.contributor.authorBernard, Manon
dc.contributor.authorBis, Joshua C.
dc.contributor.authorGillespie, Nathan A.
dc.contributor.authorLuciano, Michelle
dc.contributor.authorMishra, Aniket
dc.contributor.authorScholz, Markus
dc.contributor.authorTeumer, Alexander
dc.contributor.authorXia, Rui
dc.contributor.authorJian, Xueqiu
dc.contributor.authorMosley, Thomas H.
dc.contributor.authorSaba, Yasaman
dc.contributor.authorPirpamer, Lukas
dc.contributor.authorSeiler, Stephan
dc.contributor.authorBecker, James T.
dc.contributor.authorCarmichael, Owen
dc.contributor.authorRotter, Jerome I.
dc.contributor.authorPsaty, Bruce M.
dc.contributor.authorLopez, Oscar L.
dc.contributor.authorAmin, Najaf
dc.contributor.authorvan der Lee, Sven J.
dc.contributor.authorYang, Qiong
dc.contributor.authorHimali, Jayandra J.
dc.contributor.authorMaillard, Pauline
dc.contributor.authorBeiser, Alexa S.
dc.contributor.authorDeCarli, Charles
dc.contributor.authorKarama, Sherif
dc.contributor.authorLewis, Lindsay
dc.contributor.authorHarris, Mat
dc.contributor.authorBastin, Mark E.
dc.contributor.authorDeary, Ian J.
dc.contributor.authorVeronica Witte, A.
dc.contributor.authorBeyer, Frauke
dc.contributor.authorLoeffler, Markus
dc.contributor.authorMather, Karen A.
dc.contributor.authorSchofield, Peter R.
dc.contributor.authorThalamuthu, Anbupalam
dc.contributor.authorKwok, John B.
dc.contributor.authorWright, Margaret J.
dc.contributor.authorAmes, David
dc.contributor.authorTrollor, Julian
dc.contributor.authorJiang, Jiyang
dc.contributor.authorBrodaty, Henry
dc.contributor.authorWen, Wei
dc.contributor.authorVernooij, Meike W.
dc.contributor.authorHofman, Albert
dc.contributor.authorUitterlinden, André G.
dc.contributor.authorNiessen, Wiro J.
dc.contributor.authorWittfeld, Katharina
dc.contributor.authorBülow, Robin
dc.contributor.authorVölker, Uwe
dc.contributor.authorPausova, Zdenka
dc.contributor.authorBruce Pike, G.
dc.contributor.authorMaingault, Sophie
dc.contributor.authorCrivello, Fabrice
dc.contributor.authorTzourio, Christophe
dc.contributor.authorAmouyel, Philippe
dc.contributor.authorMazoyer, Bernard
dc.contributor.authorNeale, Michael C.
dc.contributor.authorFranz, Carol E.
dc.contributor.authorLyons, Michael J.
dc.contributor.authorPanizzon, Matthew S.
dc.contributor.authorAndreassen, Ole A.
dc.contributor.authorDale, Anders M.
dc.contributor.authorLogue, Mark
dc.contributor.authorGrasby, Katrina L.
dc.contributor.authorJahanshad, Neda
dc.contributor.authorPainter, Jodie N.
dc.contributor.authorColodro-Conde, Lucía
dc.contributor.authorBralten, Janita
dc.contributor.authorHibar, Derrek P.
dc.contributor.authorLind, Penelope A.
dc.contributor.authorPizzagalli, Fabrizio
dc.contributor.authorStein, Jason L.
dc.contributor.authorThompson, Paul M.
dc.contributor.authorMedland, Sarah E.
dc.contributor.authorJahanshad, Neda
dc.contributor.authorPainter, Jodie N.
dc.contributor.authorColodro-Conde, Lucía
dc.contributor.authorHibar, Derrek P.
dc.contributor.authorLind, Penelope A.
dc.contributor.authorChing, Christopher R.K.
dc.contributor.authorMcMahon, Mary Agnes B.
dc.contributor.authorShatokhina, Natalia
dc.contributor.authorZsembik, Leo C.P.
dc.contributor.authorAgartz, Ingrid
dc.contributor.authorAlhusaini, Saud
dc.contributor.authorAlmeida, Marcio A.A.
dc.date.accessioned2020-09-28T16:41:01Z
dc.date.available2020-09-28T16:41:01Z
dc.date.issued2020-12-01
dc.identifier.urihttp://hdl.handle.net/10713/13778
dc.description.abstractCortical 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.en_US
dc.description.sponsorshipNational Heart, Lung, and Blood Instituteen_US
dc.description.urihttps://doi.org/10.1038/s41467-020-18367-yen_US
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.relation.ispartofNature Communicationsen_US
dc.subjectcortical structureen_US
dc.subject.meshGenome-Wide Association Studyen_US
dc.titleGenetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adultsen_US
dc.typeArticleen_US
dc.identifier.doi10.1038/s41467-020-18367-y
dc.identifier.pmid32963231
dc.source.volume11
dc.source.issue1


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