Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence

Jeanne E Savage, Philip R Jansen, Sven Stringer, Kyoko Watanabe, Julien Bryois, Christiaan A de Leeuw, Mats Nagel, Swapnil Awasthi, Peter B Barr, Jonathan R I Coleman, Katrina L Grasby, Anke R Hammerschlag, Jakob A Kaminski, Robert Karlsson, Eva Krapohl, Max Lam, Marianne Nygaard, Chandra A Reynolds, Joey W Trampush, Hannah YoungDelilah Zabaneh, Sara Hägg, Narelle K Hansell, Ida K Karlsson, Sten Linnarsson, Grant W Montgomery, Ana B Muñoz-Manchado, Erin B Quinlan, Gunter Schumann, Nathan G Skene, Bradley T Webb, Tonya White, Dan E Arking, Dimitrios Avramopoulos, Robert M Bilder, Panos Bitsios, Katherine E Burdick, Tyrone D Cannon, Ornit Chiba-Falek, Andrea Christoforou, Elizabeth T Cirulli, Eliza Congdon, Aiden Corvin, Gail Davies, Ian J Deary, Pamela DeRosse, Dwight Dickinson, Srdjan Djurovic, Gary Donohoe, Emily Drabant Conley, Johan G Eriksson, Thomas Espeseth, Nelson A Freimer, Stella Giakoumaki, Ina Giegling, Michael Gill, David C Glahn, Ahmad R Hariri, Alex Hatzimanolis, Matthew C Keller, Emma Knowles, Deborah Koltai, Bettina Konte, Jari Lahti, Stephanie Le Hellard, Todd Lencz, David C Liewald, Edythe London, Astri J Lundervold, Anil K Malhotra, Ingrid Melle, Derek Morris, Anna C Need, William Ollier, Aarno Palotie, Antony Payton, Neil Pendleton, Russell A Poldrack, Katri Räikkönen, Ivar Reinvang, Panos Roussos, Dan Rujescu, Fred W Sabb, Matthew A Scult, Olav B Smeland, Nikolaos Smyrnis, John M Starr, Vidar M Steen, Nikos C Stefanis, Richard E Straub, Kjetil Sundet, Henning Tiemeier, Aristotle N Voineskos, Daniel R Weinberger, Elisabeth Widen, Jin Yu, Goncalo Abecasis, Ole A Andreassen, Gerome Breen, Lene Christiansen, Birgit Debrabant, Danielle M Dick, Andreas Heinz, Jens Hjerling-Leffler, M Arfan Ikram, Kenneth S Kendler, Nicholas G Martin, Sarah E Medland, Nancy L Pedersen, Robert Plomin, Tinca J C Polderman, Stephan Ripke, Sophie van der Sluis, Patrick F Sullivan, Scott I Vrieze, Margaret J Wright, Danielle Posthuma

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Abstract

Intelligence is highly heritable1 and a major determinant of human health and well-being2. Recent genome-wide meta-analyses have identified 24 genomic loci linked to variation in intelligence3-7, but much about its genetic underpinnings remains to be discovered. Here, we present a large-scale genetic association study of intelligence (n = 269,867), identifying 205 associated genomic loci (190 new) and 1,016 genes (939 new) via positional mapping, expression quantitative trait locus (eQTL) mapping, chromatin interaction mapping, and gene-based association analysis. We find enrichment of genetic effects in conserved and coding regions and associations with 146 nonsynonymous exonic variants. Associated genes are strongly expressed in the brain, specifically in striatal medium spiny neurons and hippocampal pyramidal neurons. Gene set analyses implicate pathways related to nervous system development and synaptic structure. We confirm previous strong genetic correlations with multiple health-related outcomes, and Mendelian randomization analysis results suggest protective effects of intelligence for Alzheimer's disease and ADHD and bidirectional causation with pleiotropic effects for schizophrenia. These results are a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders.

Original languageEnglish
Pages (from-to)912-919
Number of pages8
JournalNature Genetics
Volume50
Issue number7
DOIs
Publication statusPublished - 1 Jul 2018

Funding

P.F.S. reports the following potentially competing financial interests: Lundbeck (advisory committee), Pfizer (scientific advisory board member), and Roche (grant recipient, speaker reimbursement). G.B. reports consultancy and speaker fees from Eli Lilly and Illumina and grant funding from Eli Lilly. J.H.-L. reports interests from Cartana (scientific advisor) and Roche (grant recipient). T.D.C. is a consultant to Boehringer Ingelheim Pharmaceuticals and Lundbeck. All other authors declare no financial interests or potential conflicts of interest. This work was funded by the Netherlands Organization for Scientific Research through the following grants: NWO Brain and Cognition 433-09-228 (D.P.), NWO MagW VIDI 452-12-014 (S.v.d.S.), NWO VICI 453-13-005 (D.P.), and 645-000-003 (D.P.). P.R.J. was funded by the Sophia Foundation for Scientific Research (SSWO, grant S14-27 to P.R.J.). The analyses were carried out on the Genetic Cluster Computer, which is financed by the Netherlands Scientific Organization (NWO: 480-05-003 to D.P.), Vrije Universiteit, Amsterdam, The Netherlands, and the Dutch Brain Foundation, and is hosted by the Dutch National Computing and Networking Services, SurfSARA. J.H.-L. was funded by the Swedish Research Council (Vetenskapsrådet, award 20143863), StratNeuro, the Wellcome Trust (108726/Z/15/Z), and the Swedish Brain Foundation (Hjärnfonden). N.G.S. was supported by the Wellcome Trust (108726/Z/15/Z). J.B. was funded by the Swiss National Science Foundation. This research has been conducted using the UK Biobank resource under application 16406. We thank the numerous participants, researchers, and staff from many studies who collected and contributed to the data. Additional acknowledgements can be found in the Supplementary Information.

FundersFunder number
Dutch Brain Foundation
Dutch National Computing and Networking Services
Netherlands Organization for Scientific Research
Netherlands Scientific Organization480-05-003
SSWOS14-27
Sophia Foundation for Scientific Research
Swedish Brain Foundation
National Institute on AgingR01AG049789
Eli Lilly and Company
Roche
Wellcome Trust108726/Z/15/Z
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Nederlandse Organisatie voor Wetenschappelijk Onderzoek645-000-003, VICI 453-13-005, MagW VIDI 452-12-014
Vetenskapsrådet20143863

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