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

Hofer, E., Roshchupkin, G. V., Adams, H. H. H., Knol, M. J., Lin, H., Li, S., et al. (2020). Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults. Nature Communications, 11(1): 4796. doi:10.1038/s41467-020-18367-y.

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Hofer, Edith, Author
Roshchupkin, Gennady V., Author
Adams, Hieab H. H., Author
Knol, Maria J., Author
Lin, Honghuang, Author
Li, Shuo, Author
Zare, Habil, Author
Ahmad, Shahzad, Author
Armstrong, Nicola J., Author
Satizabal, Claudia L., Author
Bernard, Manon, Author
Bis, Joshua C., Author
Gillespie, Nathan A., Author
Luciano, Michelle, Author
Mishra, Aniket, Author
Scholz, Markus, Author
Teumer, Alexander, Author
Xia, Rui, Author
Jian, Xueqiu, Author
Mosley, Thomas H., Author
Saba, Yasaman, AuthorPirpamer, Lukas, AuthorSeiler, Stephan, AuthorBecker, James T., AuthorCarmichael, Owen, AuthorRotter, Jerome I., AuthorPsaty, Bruce M., AuthorLopez, Oscar L., AuthorAmin, Najaf, Authorvan der Lee, Sven J., AuthorYang, Qiong, AuthorHimali, Jayandra J., AuthorMaillard, Pauline, AuthorBeiser, Alexa S., AuthorDeCarli, Charles, AuthorKarama, Sherif, AuthorLewis, Lindsay, AuthorHarris, Mat, AuthorBastin, Mark E., AuthorDeary, Ian J., AuthorWitte, A. Veronica1, Author           Beyer, Frauke1, Author           Loeffler, Markus, AuthorMather, Karen A., AuthorSchofield, Peter R., AuthorThalamuthu, Anbupalam, AuthorKwok, John B., AuthorWright, Margaret J., AuthorAmes, David, AuthorTrollor, Julian, AuthorJiang, Jiyang, AuthorBrodaty, Henry, AuthorWen, Wei, AuthorVernooij, Meike W., AuthorHofman, Albert, AuthorUitterlinden, André G., AuthorNiessen, Wiro J., AuthorWittfeld, Katharina, AuthorBülow, Robin, AuthorVölker, Uwe, AuthorPausova, Zdenka, AuthorBruce Pike, G., AuthorMaingault, Sophie, AuthorCrivello, Fabrice, AuthorTzourio, Christophe, AuthorAmouyel, Philippe, AuthorMazoyer, Bernard, AuthorNeale, Michael C., AuthorFranz, Carol E., AuthorLyons, Michael J., AuthorPanizzon, Matthew S., AuthorAndreassen, Ole A., AuthorDale, Anders M., AuthorLogue, Mark, AuthorGrasby, Katrina L., AuthorJahanshad, Neda, AuthorPainter, Jodie N., AuthorColodro-Conde, Lucía, AuthorBralten, Janita, AuthorHibar, Derrek P., AuthorLind, Penelope A., AuthorPizzagalli, Fabrizio, AuthorStein, Jason L., AuthorThompson, Paul M., AuthorMedland, Sarah E., AuthorSachdev, Perminder S., AuthorKremen, William S., AuthorWardlaw, Joanna M., AuthorVillringer, Arno1, Author           van Duijn, Cornelia M., AuthorGrabe, Hans J., AuthorLongstreth, William T., AuthorFornage, Myriam, AuthorPaus, Tomas, AuthorDebette, Stephanie, AuthorArfan Ikram, M., AuthorSchmidt, Helena, AuthorSchmidt, Reinhold, AuthorSeshadri, Sudha, Author more..
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1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

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 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.

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Language(s): eng - English
 Dates: 2020-03-042020-08-202020-09-22
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s41467-020-18367-y
PMID: 32963231
PMC: PMC7508833
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Title: Nature Communications
  Abbreviation : Nat. Commun.
Source Genre: Journal
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Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 11 (1) Sequence Number: 4796 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723