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GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment

Rietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W., Westra, H.-J., Shakhbazov, K., Abdellaoui, A., Agrawal, A., Albrecht, E., Alizadeh, B. Z., Amin, N., Barnard, J., Baumeister, S. E., Benke, K. S., Bielak, L. F., Boatman, J. A., Boyle, P. A., Davies, G., de Leeuw, C., Eklund, N., Evans, D. S., Ferhmann, R., Fischer, K., Gieger, C., Gjessing, H. K., Hagg, S., Harris, J. R., Hayward, C., Holzapfel, C., Ibrahim-Verbaas, C. A., Ingelsson, E., Jacobsson, B., Joshi, P. K., Jugessur, A., Kaakinen, M., Kanoni, S., Karjalainen, J., Kolcic, I., Kristiansson, K., Kutalik, Z., Lahti, J., Lee, S. H., Lin, P., Lind, P. A., Liu, Y., Lohman, K., Loitfelder, M., McMahon, G., Vidal, P. M., Meirelles, O., Milani, L., Myhre, R., Nuotio, M.-L., Oldmeadow, C. J., Petrovic, K. E., Peyrot, W. J., Polasek, O., Quaye, L., Reinmaa, E., Rice, J. P., Rizzi, T. S., Schmidt, H., Schmidt, R., Smith, A. V., Smith, J. A., Tanaka, T., Terracciano, A., Van der Loos, M.J.H.M, Vitart, V., Volzke, H., Wellmann, J., Yu, L., Zhao, W., Allik, J., Attia, J. R., Bandinelli, S., Bastardot, F., Beauchamp, J., Bennett, D. A., Berger, K., Bierut, L. J., Boomsma, D. I., Bultmann, U., Campbell, H., Chabris, C. F., Cherkas, L., Chung, M. K., Cucca, F., de Andrade, M., De Jager, P. L., De Neve, Jan-Emmanuel, Deary, I. J., Dedoussis, G. V., Deloukas, P., Dimitriou, M., Eiriksdottir, G., Elderson, M. F., Eriksson, J. G., Evans, D. M., Faul, J. D., Ferrucci, L., Garcia, M. E., Gronberg, H., Guthnason, V., Hall, P., Harris, J. M., Harris, T. B., Hastie, N. D., Heath, A. C., Hernandez, D. G., Hoffmann, W., Hofman, A., Holle, R., Holliday, E. G., Hottenga, J.-J., Iacono, W. G., Illig, T., Jarvelin, M.-R., Kahonen, M., Kaprio, J., Kirkpatrick, R. M., Kowgier, M., Latvala, A., Launer, L. J., Lawlor, D. A., Lehtimaki, T., Li, J., Lichtenstein, P., Lichtner, P., Liewald, D. C., Madden, P. A., Magnusson, P. K. E., Makinen, T. E., Masala, M., McGue, M., Metspalu, A., Mielck, A., Miller, M. B., Montgomery, G. W., Mukherjee, S., Nyholt, D. R., Oostra, B. A., Palmer, L. J., Palotie, A., Penninx, B. W. J. H., Perola, M., Peyser, P. A., Preisig, M., Raikkonen, K., Raitakari, O. T., Realo, A., Ring, S. M., Ripatti, S., Rivadeneira, F., Rudan, I., Rustichini, A., Salomaa, V., Sarin, A.-P., Schlessinger, D., Scott, R. J., Snieder, H., St Pourcain, B., Starr, J. M., Sul, J. H., Surakka, I., Svento, R., Teumer, A., Tiemeier, H., van Rooij, F. J. A., Van Wagoner, D. R., Vartiainen, E., Viikari, J., Vollenweider, P., Vonk, J. M., Waeber, G., Weir, D. R., Wichmann, H.- E., Widen, E., Willemsen, G., Wilson, J. F., Wright, A. F., Conley, D., Davey-Smith, G., Franke, L., Groenen, P. J. F., Hofman, A., Johannesson, M., Kardia, S. L. R., Krueger, R. F., Laibson, D., Martin, N. G., Meyer, M. N., Posthuma, D., Thurik, A. R., Timpson, N. J., Uitterlinden, A. G., van Duijn, C. M., Visscher, P. M., Benjamin, D. J., Cesarini, D. and Koellinger, P. D. (2013) GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment. Science, 340 (6139). pp. 1467-1471. ISSN 0036-8075

Full text not available from this repository.
Identification Number: 10.1126/science.1235488

Abstract

A genome-wide association study (GWAS) of educational attainment was conducted in a discovery sample of 101,069 individuals and a replication sample of 25,490. Three independent single-nucleotide polymorphisms (SNPs) are genome-wide significant (rs9320913, rs11584700, rs4851266), and all three replicate. Estimated effects sizes are small (coefficient of determination R2≈ 0.02%), approximately 1 month of schooling per allele. A linear polygenic score from all measured SNPs accounts for ≈2% of the variance in both educational attainment and cognitive function. Genes in the region of the loci have previously been associated with health, cognitive, and central nervous system phenotypes, and bioinformatics analyses suggest the involvement of the anterior caudate nucleus. These findings provide promising candidate SNPs for follow-up work, and our effect size estimates can anchor power analyses in social-science genetics.

Item Type: Article
Official URL: http://www.sciencemag.org/
Additional Information: © 2013 American Association for the Advancement of Science
Divisions: Centre for Economic Performance
Subjects: L Education > L Education (General)
L Education > LB Theory and practice of education
Date Deposited: 19 Jul 2013 15:00
Last Modified: 24 Apr 2024 00:09
Projects: E9/11, P01-AG005842, P01-AG005842-20S2, P30-AG012810, and T32-AG000186-23
Funders: Ragnar Söderberg Foundation, National Institute on Aging (NIA)/NIH, Intramural Research Program of the NIA/NIH
URI: http://eprints.lse.ac.uk/id/eprint/51056

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