GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
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Author
Rietveld, Cornelius A.
Medland, Sarah E.
Derringer, Jaime
Yang, Jian
Martin, Nicolas W.
Shakhbazov, Konstantin
Abdellaoui, Abdel
Agrawal, Arpana
Albrecht, Eva
Alizadeh, Behrooz Z.
Amin, Najaf
Barnard, John
Baumeister, Sebastian E.
Benke, Kelly S.
Bielak, Lawrence F.
Boatman, Jeffrey A.
Boyle, Patricia A.
Davies, Gail
de Leeuw, Christiaan
Eklund, Niina
Evans, Daniel S.
Ferhmann, Rudolf
Fischer, Krista
Gieger, Christian
Gjessing, Håkon K.
Hagg, Sara
Harris, Jennifer R.
Hayward, Caroline
Holzapfel, Christina
Ibrahim-Verbaas, Carla A.
Ingelsson, Erik
Jacobsson, Bo
Joshi, Peter K.
Jugessur, Astanand
Kaakinen, Marika
Kanoni, Stavroula
Karjalainen, Juha
Kolcic, Ivana
Kristiansson, Kati
Kutalik, Zoltán
Lahti, Jari
Lee, Sang H.
Lin, Peng
Lind, Penelope A.
Liu, Yongmei
Lohman, Kurt
Loitfelder, Marisa
McMahon, George
Vidal, Pedro Marques
Meirelles, Osorio
Milani, Lili
Myhre, Ronny
Nuotio, Marja-Liisa
Oldmeadow, Christopher J.
Petrovic, Katja E.
Peyrot, Wouter J.
Polašek, Ozren
Quaye, Lydia
Reinmaa, Eva
Rice, John P.
Rizzi, Thais S.
Schmidt, Helena
Schmidt, Reinhold
Smith, Albert V.
Smith, Jennifer A.
Tanaka, Toshiko
Terracciano, Antonio
van der Loos, Matthijs J. H. M.
Vitart, Veronique
Völzke, Henry
Wellmann, Jürgen
Yu, Lei
Zhao, Wei
Allik, Jüri
Attia, John R.
Bandinelli, Stefania
Bastardot, François
Beauchamp, Jonathan
Bennett, David A.
Berger, Klaus
Bierut, Laura J.
Boomsma, Dorret I.
Bültmann, Ute
Campbell, Harry
Cherkas, Lynn
Chung, Mina K.
Cucca, Francesco
de Andrade, Mariza
De Neve, Jan-Emmanuel
Deary, Ian J.
Dedoussis, George V.
Deloukas, Panos
Dimitriou, Maria
Eiríksdóttir, Guðný
Elderson, Martin F.
Eriksson, Johan G.
Evans, David M.
Faul, Jessica D.
Ferrucci, Luigi
Garcia, Melissa E.
Grönberg, Henrik
Guðnason, Vilmundur
Hall, Per
Harris, Juliette M.
Harris, Tamara B.
Hastie, Nicholas D.
Heath, Andrew C.
Hernandez, Dena G.
Hoffmann, Wolfgang
Hofman, Adriaan
Holle, Rolf
Holliday, Elizabeth G.
Hottenga, Jouke-Jan
Iacono, William G.
Illig, Thomas
Järvelin, Marjo-Riitta
Kähönen, Mika
Kaprio, Jaakko
Kirkpatrick, Robert M.
Kowgier, Matthew
Latvala, Antti
Launer, Lenore J.
Lawlor, Debbie A.
Lehtimäki, Terho
Li, Jingmei
Lichtenstein, Paul
Lichtner, Peter
Liewald, David C.
Madden, Pamela A.
Magnusson, Patrik K. E.
Makinen, Tomi E.
Masala, Marco
McGue, Matt
Metspalu, Andres
Mielck, Andreas
Miller, Michael B.
Montgomery, Grant W.
Mukherjee, Sutapa
Nyholt, Dale R.
Oostra, Ben A.
Palmer, Lyle J.
Penninx, Brenda W. J. H.
Perola, Markus
Peyser, Patricia A.
Preisig, Martin
Räikkönen, Katri
Raitakari, Olli T.
Realo, Anu
Ring, Susan M.
Ripatti, Samuli
Rivadeneira, Fernando
Rudan, Igor
Rustichini, Aldo
Salomaa, Veikko
Sarin, Antti-Pekka
Schlessinger, David
Scott, Rodney J.
Snieder, Harold
St Pourcain, Beate
Starr, John M.
Surakka, Ida
Svento, Rauli
Teumer, Alexander
Tiemeier, Henning
van Rooij, Frank J. A.
Van Wagoner, David R.
Vartiainen, Erkki
Viikari, Jorma
Vollenweider, Peter
Vonk, Judith M.
Waeber, Gérard
Weir, David R.
Wichmann, H.-Erich
Widen, Elisabeth
Willemsen, Gonneke
Wilson, James F.
Wright, Alan F.
Conley, Dalton
Davey-Smith, George
Franke, Lude
Groenen, Patrick J. F.
Johannesson, Magnus
Kardia, Sharon L. R.
Krueger, Robert F.
Martin, Nicholas G.
Meyer, Michelle N.
Posthuma, Danielle
Thurik, A. Roy
Timpson, Nicholas J.
Uitterlinden, André G.
van Duijn, Cornelia M.
Visscher, Peter M.
Benjamin, Daniel J.
Cesarini, David
Koellinger, Philipp D.
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https://doi.org/10.1126/science.1235488Metadata
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Rietveld, Cornelius A., Sarah E. Medland, Jaime Derringer, Jian Yang, Tõnu Esko, Nicolas W. Martin, Harm-Jan Westra, et al. 2013. GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment. Science 340, no. 6139: 1467–1471.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.Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3751588/pdf/nihms495960.pdfhttps://files.nyu.edu/dac12/public/P22.pdf
http://scholar.harvard.edu/files/laibson/files/gwas_science_053013.pdf
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