학술논문

GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
Document Type
Academic Journal
Author
Rietveld, Cornelius A.Medland, Sarah E.Derringer, JaimeYang, JianEsko, TõnuMartin, Nicolas W.Westra, Harm-JanShakhbazov, KonstantinAbdellaoui, AbdelAgrawal, ArpanaAlbrecht, EvaAlizadeh, Behrooz Z.Amin, NajafBarnard, JohnBaumeister, Sebastian E.Benke, Kelly S.Bielak, Lawrence F.Boatman, Jeffrey A.Boyle, Patricia A.Davies, Gailde Leeuw, ChristiaanEklund, NiinaEvans, Daniel S.Ferhmann, RudolfFischer, KristaGieger, ChristianGjessing, Håkon K.Hägg, SaraHarris, Jennifer R.Hayward, CarolineHolzapfel, ChristinaIbrahim-Verbaas, Carla A.Ingelsson, ErikJacobsson, BoJoshi, Peter K.Jugessur, AstanandKaakinen, MarikaKanoni, StavroulaKarjalainen, JuhaKolcic, IvanaKristiansson, KatiKutalik, ZoltánLahti, JariLee, Sang H.Lin, PengLind, Penelope A.Liu, YongmeiLohman, KurtLoitfelder, MarisaMcMahon, GeorgeVidal, Pedro MarquesMeirelles, OsorioMilani, LiliMyhre, RonnyNuotio, Marja-LiisaOldmeadow, Christopher J.Petrovic, Katja E.Peyrot, Wouter J.Polašek, OzrenQuaye, LydiaReinmaa, EvaRice, John P.Rizzi, Thais S.Schmidt, HelenaSchmidt, ReinholdSmith, Albert V.Smith, Jennifer A.Tanaka, ToshikoTerracciano, Antoniovan der Loos, Matthijs J. H. M.Vitart, VeroniqueVölzke, HenryWellmann, JürgenYu, LeiZhao, WeiAllik, JüriAttia, John R.Bandinelli, StefaniaBastardot, FrançoisBeauchamp, JonathanBennett, David A.Berger, KlausBierut, Laura J.Boomsma, Dorret I.Bültmann, UteCampbell, HarryChabris, Christopher F.Cherkas, LynnChung, Mina K.Cucca, Francescode Andrade, MarizaDe Jager, Philip LDe Neve, Jan-EmmanuelDeary, Ian J.Dedoussis, George V.Deloukas, PanosDimitriou, MariaEiríksdóttir, GuönýElderson, Martin F.Eriksson, Johan G.Evans, David M.Faul, Jessica D.Ferrucci, LuigiGarcia, Melissa E.Grönberg, HenrikGuönason, VilmundurHall, PerHarris, Juliette M.Harris, Tamara B.Hastie, Nicholas D.Heath, Andrew C.Hernandez, Dena G.Hoffmann, WolfgangHofman, AdriaanHolle, RolfHolliday, Elizabeth G.Hottenga, Jouke-JanIacono, William G.Illig, ThomasJärvelin, Marjo-RiittaKähönen, MikaKaprio, JaakkoKirkpatrick, Robert M.Kowgier, MatthewLatvala, AnttiLauner, Lenore J.Lawlor, Debbie A.Lehtimäki, TerhoLi, JingmeiLichtenstein, PaulLichtner, PeterLiewald, David C.Madden, Pamela A.Magnusson, Patrik K. E.Mäkinen, Tomi E.Masala, MarcoMcGue, MattMetspalu, AndresMielck, AndreasMiller, Michael B.Montgomery, Grant W.Mukherjee, SutapaNyholt, Dale R.Oostra, Ben A.Palmer, Lyle J.Palotie, AarnoPenninx, Brenda W. J. H.Perola, MarkusPeyser, Patricia APreisig, MartinRäikkönen, KatriRaitakari, Olli T.Realo, AnuRing, Susan M.Ripatti, SamuliRivadeneira, FernandoRudan, IgorRustichini, AldoSalomaa, VeikkoSarin, Antti-PekkaSchlessinger, DavidScott, Rodney J.Snieder, HaroldPourcain, Beate StStarr, John M.Sul, Jae HoonSurakka, IdaSvento, RauliTeumer, AlexanderTiemeier, Henningvan Rooij, Frank J. A.Van Wagoner, David R.Vartiainen, ErkkiViikari, JormaVollenweider, PeterVonk, Judith M.Waeber, GérardWeir, David R.Wichmann, H.-ErichWiden, ElisabethWillemsen, GonnekeWilson, James F.Wright, Alan F.Conley, DaltonDavey-Smith, GeorgeFranke, LudeGroenen, Patrick J. F.Hofman, AlbertJohannesson, MagnusKardia, Sharon L R.Krueger, Robert F.Laibson, DavidMartin, Nicholas G.Meyer, Michelle N.Posthuma, DanielleThurik, Roy A.Timpson, Nicholas J.Uitterlinden, André G.van Duijn, Cornelia M.Visscher, Peter M.Benjamin, Daniel J.Cesarini, DavidKoellinger, Philipp D.
Source
Science. Jun 21, 2013 340(6139):1467-1471
Subject
Language
English
ISSN
0036-8075
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 R ≈ 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.