Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence
Autor: | Gerome Breen, Suzanne Sniekers, Neil Pendleton, Robert Plomin, Antony Payton, Magnus Johannesson, Anke R. Hammerschlag, Sven Stringer, Philipp Koellinger, Matt McGue, David Cesarini, Najaf Amin, Christopher F. Chabris, Delilah Zabaneh, Cornelia M. van Duijn, Cornelius A. Rietveld, Aysu Okbay, Jonathan R. I. Coleman, Michael B. Miller, Danielle Posthuma, Eva Krapohl, Erdogan Taskesen, William G. Iacono, Kyoko Watanabe, Philip R. Jansen, Patrik K. E. Magnusson, William E R Ollier, James J. Lee, Henning Tiemeier, M. Arfan Ikram |
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Přispěvatelé: | Neurology, Human genetics, Amsterdam Reproduction & Development (AR&D), Amsterdam Neuroscience - Complex Trait Genetics, Child and Adolescent Psychiatry / Psychology, Applied Economics, Epidemiology, Psychiatry, Mathematics, Complex Trait Genetics, Tinbergen Institute, Graduate School, Human Genetics |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
Adult Male Linkage disequilibrium Adolescent European Continental Ancestry Group Intelligence Single-nucleotide polymorphism Genome-wide association study Nerve Tissue Proteins Biology Genetic correlation Polymorphism Single Nucleotide Article White People Linkage Disequilibrium 03 medical and health sciences Young Adult 0302 clinical medicine Genetics Journal Article Brain/metabolism Nerve Tissue Proteins/genetics Humans Polymorphism Child Preschool Gene Aged Human intelligence Research Intelligence/genetics Brain Infant Single Nucleotide Heritability Middle Aged Genetic architecture 030104 developmental biology Child Preschool Female 030217 neurology & neurosurgery White People/genetics Genome-Wide Association Study Meta-Analysis |
Zdroj: | Nature Genetics, 49(7), 1107-1112. Nature Publishing Group Sniekers, S, Stringer, S, Watanabe, K, Jansen, P R, Coleman, J R I, Krapohl, E, Taskesen, E, Hammerschlag, A R, Okbay, A, Zabaneh, D, Amin, N, Breen, G, Cesarini, D, Chabris, C F, Iacono, W G, Ikram, M A, Johannesson, M, Koellinger, P, Lee, J J, Magnusson, P K E, McGue, M, Miller, M B, Ollier, W E R, Payton, A, Pendleton, N, Plomin, R, Rietveld, C A, Tiemeier, H, Van Duijn, C M & Posthuma, D 2017, ' Genome-wide association meta-A nalysis of 78,308 individuals identifies new loci and genes influencing human intelligence ', Nature Genetics, vol. 49, no. 7, pp. 1107-1112 . https://doi.org/10.1038/ng.3869 Nature Genetics Sniekers, S, Stringer, S, Watanabe, K, Jansen, P R, Coleman, J R I, Krapohl, E, Taskesen, E, Hammerschlag, A R, Okbay, A, Zabaneh, D, Amin, N, Breen, G, Cesarini, D, Chabris, C F, Iacono, W G, Ikram, M A, Johannesson, M, Koellinger, P, Lee, J J, Magnusson, P K E, McGue, M, Miller, M B, Ollier, W E R, Payton, A, Pendleton, N, Plomin, R, Rietveld, C A, Tiemeier, H, van Duijn, C M & Posthuma, D 2017, ' Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence ', Nature Genetics, vol. 49, no. 7, pp. 1107-1112 . https://doi.org/10.1038/ng.3869 Nature genetics Nature genetics, 49(7), 1107-1112. Nature Publishing Group Sniekers, S, Stringer, S, Watanabe, K, Jansen, P R, Coleman, J, Krapohl, E, Taskesen, E, Hammerschlag, A R, Okbay, A, Zabaneh, D, Amin, N, Breen, G, Cesarini, D, Chabris, C F, Iacono, W G, Ikram, M A, Johannesson, M, Koellinger, P, Lee, J J, Magnusson, P K E, McGue, M, Miller, M B, Ollier, W E R, Payton, A, Pendleton, N, Plomin, R, Rietveld, C A, Tiemeier, H, van Duijn, C M & Posthuma, D 2017, ' Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence ', Nature Genetics, vol. 49, no. 7, pp. 1107–1112 . https://doi.org/10.1038/ng.3869 |
ISSN: | 1061-4036 |
DOI: | 10.1038/ng.3869 |
Popis: | Intelligence is associated with important economic and health-related life outcomes. Despite intelligence having substantial heritability (0.54) and a confirmed polygenic nature, initial genetic studies were mostly underpowered. Here we report a meta- A nalysis for intelligence of 78,308 individuals. We identify 336 associated SNPs (METAL P < 5 × 10-8) in 18 genomic loci, of which 15 are new. Around half of the SNPs are located inside a gene, implicating 22 genes, of which 11 are new findings. Gene-based analyses identified an additional 30 genes (MAGMA P < 2.73 × 10-6), of which all but one had not been implicated previously. We show that the identified genes are predominantly expressed in brain tissue, and pathway analysis indicates the involvement of genes regulating cell development (MAGMA competitive P = 3.5 × 10-6). Despite the well-known difference in twin-based heritability for intelligence in childhood (0.45) and adulthood (0.80), we show substantial genetic correlation (rg = 0.89, LD score regression P = 5.4 × 10-29). These findings provide new insight into the genetic architecture of intelligence. |
Databáze: | OpenAIRE |
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