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Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence
- Source :
- 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
- Publication Year :
- 2017
-
Abstract
- 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.
- Subjects :
- 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
Subjects
Details
- Language :
- English
- ISSN :
- 10614036
- Volume :
- 49
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- Nature Genetics
- Accession number :
- edsair.doi.dedup.....547e1e3e477a5461cb76752c5e210a0e