Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence
Autor: | Christiaan de Leeuw, Martijn P. van den Heuvel, Philip R. Jansen, Yongbin Wei, Danielle Posthuma, Mats Nagel, Jeanne E. Savage, Sophie van der Sluis, Kyoko Watanabe |
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Přispěvatelé: | Human genetics, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Reproduction & Development (AR&D), APH - Aging & Later Life, APH - Mental Health, Complex Trait Genetics |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Science Intelligence Models Neurological Quantitative Trait Loci General Physics and Astronomy Genome-wide association study Computational biology Quantitative trait locus Biology Genome-wide association studies Genetic correlation Genome Article General Biochemistry Genetics and Molecular Biology 03 medical and health sciences 0302 clinical medicine Humans lcsh:Science Behavioural genetics Multidisciplinary Genome Human Human intelligence Brain Organ Size General Chemistry Human genetics 030104 developmental biology Brain size lcsh:Q 030217 neurology & neurosurgery Genome-Wide Association Study |
Zdroj: | Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020) Nature Communications, 11(1):5606 Nature Communications Jansen, P R, Nagel, M, Watanabe, K, Wei, Y, Savage, J E, de Leeuw, C A, van den Heuvel, M P, van der Sluis, S & Posthuma, D 2020, ' Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence ', Nature Communications, vol. 11, no. 1, 5606 . https://doi.org/10.1038/s41467-020-19378-5 Nature Communications, 11:5606, 1-12. Nature Publishing Group Jansen, P R, Nagel, M, Watanabe, K, Wei, Y, Savage, J E, de Leeuw, C A, van den Heuvel, M P, van der Sluis, S & Posthuma, D 2020, ' Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence ', Nature Communications, vol. 11, 5606, pp. 1-12 . https://doi.org/10.1038/s41467-020-19378-5 |
ISSN: | 2041-1723 |
Popis: | The phenotypic correlation between human intelligence and brain volume (BV) is considerable (r ≈ 0.40), and has been shown to be due to shared genetic factors. To further examine specific genetic factors driving this correlation, we present genomic analyses of the genetic overlap between intelligence and BV using genome-wide association study (GWAS) results. First, we conduct a large BV GWAS meta-analysis (N = 47,316 individuals), followed by functional annotation and gene-mapping. We identify 18 genomic loci (14 not previously associated), implicating 343 genes (270 not previously associated) and 18 biological pathways for BV. Second, we use an existing GWAS for intelligence (N = 269,867 individuals), and estimate the genetic correlation (rg) between BV and intelligence to be 0.24. We show that the rg is partly attributable to physical overlap of GWAS hits in 5 genomic loci. We identify 92 shared genes between BV and intelligence, which are mainly involved in signaling pathways regulating cell growth. Out of these 92, we prioritize 32 that are most likely to have functional impact. These results provide information on the genetics of BV and provide biological insight into BV’s shared genetic etiology with intelligence. Brain volume and intelligence have been previously found to have shared genetic etiology, but the specific common genetic signals have not been identified. Here, the authors perform a genome-wide association study on brain volume, finding common genetic loci driving brain volume and intelligence. |
Databáze: | OpenAIRE |
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