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  • 1. Davies, Gail
    et al.
    Lam, Max
    Harris, Sarah E.
    Trampush, Joey W.
    Luciano, Michelle
    Hill, W. David
    Hagenaars, Saskia P.
    Ritchie, Stuart J.
    Marioni, Riccardo E.
    Fawns-Ritchie, Chloe
    Liewald, David C. M.
    Okely, Judith A.
    Ahola-Olli, Ari V.
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    Pazoki, Raha
    Petrovic, Katja
    Reynolds, Chandra A.
    Sargurupremraj, Muralidharan
    Scholz, Markus
    Smith, Jennifer A.
    Smith, Albert V.
    Terzikhan, Natalie
    Thalamuthu, Anbupalam
    Trompet, Stella
    van der Lee, Sven J.
    Ware, Erin B.
    Windham, B. Gwen
    Wright, Margaret J.
    Yang, Jingyun
    Yu, Jin
    Ames, David
    Amin, Najaf
    Amouyel, Philippe
    Andreassen, Ole A.
    Armstrong, Nicola J.
    Assareh, Amelia A.
    Attia, John R.
    Attix, Deborah
    Avramopoulos, Dimitrios
    Bennett, David A.
    Boehmer, Anne C.
    Boyle, Patricia A.
    Brodaty, Henry
    Campbell, Harry
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    Longstreth, Will T., Jr.
    Lopez, Oscar L.
    Loukola, Anu
    Luck, Tobias
    Lundervold, Astri J.
    Lundquist, Anders
    Umeå University, Faculty of Medicine, Umeå Centre for Functional Brain Imaging (UFBI). Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.
    Lyytikainen, Leo-Pekka
    Martin, Nicholas G.
    Montgomery, Grant W.
    Murray, Alison D.
    Need, Anna C.
    Noordam, Raymond
    Nyberg, Lars
    Umeå University, Faculty of Medicine, Department of Radiation Sciences. Umeå University, Faculty of Medicine, Department of Integrative Medical Biology (IMB). Umeå University, Faculty of Medicine, Umeå Centre for Functional Brain Imaging (UFBI).
    Ollier, William
    Papenberg, Goran
    Pattie, Alison
    Polasek, Ozren
    Poldrack, Russell A.
    Psaty, Bruce M.
    Reppermund, Simone
    Riedel-Heller, Steffi G.
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    Rovio, Suvi P.
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    Sabb, Fred W.
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    Satizabal, Claudia L.
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    Scott, Rodney J.
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    Stefanis, Nikos C.
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    Taylor, Adele M.
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    Uitterlinden, Andre
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    Voineskos, Aristotle N.
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    Wagner, Michael
    Wagner, Holger
    Weinhold, Leonie
    Wen, K. Hoyan
    Widen, Elisabeth
    Yang, Qiong
    Zhao, Wei
    Adams, Hieab H. H.
    Arking, Dan E.
    Bilder, Robert M.
    Bitsios, Panos
    Boerwinkle, Eric
    Chiba-Falek, Ornit
    Corvin, Aiden
    De Jager, Philip L.
    Debette, Stephanie
    Donohoe, Gary
    Elliott, Paul
    Fitzpatrick, Annette L.
    Gill, Michael
    Glahn, David C.
    Hagg, Sara
    Hansell, Narelle K.
    Hariri, Ahmad R.
    Ikram, M. Kamran
    Jukema, J. Wouter
    Vuoksimaa, Eero
    Keller, Matthew C.
    Kremen, William S.
    Launer, Lenore
    Lindenberger, Ulman
    Palotie, Aarno
    Pedersen, Nancy L.
    Pendleton, Neil
    Porteous, David J.
    Raikkonen, Katri
    Raitakari, Olli T.
    Ramirez, Alfredo
    Reinvang, Ivar
    Rudan, Igor
    Rujescu, Dan
    Schmidt, Reinhold
    Schmidt, Helena
    Schofield, Peter W.
    Schofield, Peter R.
    Starr, John M.
    Steen, Vidar M.
    Trollor, Julian N.
    Turner, Steven T.
    Van Duijn, Cornelia M.
    Villringer, Arno
    Weinberger, Daniel R.
    Weir, David R.
    Wilson, James F.
    Malhotra, Anil
    McIntosh, Andrew M.
    Gale, Catharine R.
    Seshadri, Sudha
    Mosley, Thomas H., Jr.
    Bressler, Jan
    Lencz, Todd
    Deary, Ian J.
    Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function2018In: Nature Communications, ISSN 2041-1723, E-ISSN 2041-1723, Vol. 9, article id 2098Article in journal (Refereed)
    Abstract [en]

    General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci (P < 5 x 10-8) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the cortex are associated with general cognitive function. Using polygenic scores, up to 4.3% of variance in general cognitive function is predicted in independent samples. We detect significant genetic overlap between general cognitive function, reaction time, and many health variables including eyesight, hypertension, and longevity. In conclusion we identify novel genetic loci and pathways contributing to the heritability of general cognitive function.

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