%0 Journal Article %J Nat Genet %D 2018 %T Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. %A Lee, James J %A Wedow, Robbee %A Okbay, Aysu %A Kong, Edward %A Maghzian, Omeed %A Zacher, Meghan %A Nguyen-Viet, Tuan Anh %A Bowers, Peter %A Sidorenko, Julia %A Karlsson Linnér, Richard %A Fontana, Mark Alan %A Kundu, Tushar %A Lee, Chanwook %A Li, Hui %A Li, Ruoxi %A Royer, Rebecca %A Timshel, Pascal N %A Walters, Raymond K %A Willoughby, Emily A %A Yengo, Loic %A Alver, Maris %A Bao, Yanchun %A Clark, David W %A Day, Felix R %A Furlotte, Nicholas A %A Joshi, Peter K %A Kemper, Kathryn E %A Kleinman, Aaron %A Langenberg, Claudia %A Mägi, Reedik %A Trampush, Joey W %A Verma, Shefali Setia %A Wu, Yang %A Lam, Max %A Zhao, Jing Hua %A Zheng, Zhili %A Boardman, Jason D %A Campbell, Harry %A Freese, Jeremy %A Harris, Kathleen Mullan %A Hayward, Caroline %A Herd, Pamela %A Kumari, Meena %A Lencz, Todd %A Luan, Jian'an %A Malhotra, Anil K %A Metspalu, Andres %A Milani, Lili %A Ong, Ken K %A Perry, John R B %A Porteous, David J %A Ritchie, Marylyn D %A Smart, Melissa C %A Smith, Blair H %A Tung, Joyce Y %A Wareham, Nicholas J %A Wilson, James F %A Beauchamp, Jonathan P %A Conley, Dalton C %A Esko, Tõnu %A Lehrer, Steven F %A Magnusson, Patrik K E %A Oskarsson, Sven %A Pers, Tune H %A Robinson, Matthew R %A Thom, Kevin %A Watson, Chelsea %A Chabris, Christopher F %A Meyer, Michelle N %A Laibson, David I %A Yang, Jian %A Johannesson, Magnus %A Koellinger, Philipp D %A Turley, Patrick %A Visscher, Peter M %A Benjamin, Daniel J %A Cesarini, David %X

Here we conducted a large-scale genetic association analysis of educational attainment in a sample of approximately 1.1 million individuals and identify 1,271 independent genome-wide-significant SNPs. For the SNPs taken together, we found evidence of heterogeneous effects across environments. The SNPs implicate genes involved in brain-development processes and neuron-to-neuron communication. In a separate analysis of the X chromosome, we identify 10 independent genome-wide-significant SNPs and estimate a SNP heritability of around 0.3% in both men and women, consistent with partial dosage compensation. A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11-13% of the variance in educational attainment and 7-10% of the variance in cognitive performance. This prediction accuracy substantially increases the utility of polygenic scores as tools in research.

%B Nat Genet %V 50 %P 1112-1121 %8 2018 Aug %G eng %N 8 %1 http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract %R 10.1038/s41588-018-0147-3 %0 Journal Article %J Nat Genet %D 2018 %T Genome-wide association meta-analysis highlights light-induced signaling as a driver for refractive error. %A Tedja, Milly S %A Wojciechowski, Robert %A Hysi, Pirro G %A Eriksson, Nicholas %A Furlotte, Nicholas A %A Verhoeven, Virginie J M %A Iglesias, Adriana I %A Meester-Smoor, Magda A %A Tompson, Stuart W %A Fan, Qiao %A Khawaja, Anthony P %A Cheng, Ching-Yu %A Höhn, René %A Yamashiro, Kenji %A Wenocur, Adam %A Grazal, Clare %A Haller, Toomas %A Metspalu, Andres %A Wedenoja, Juho %A Jonas, Jost B %A Wang, Ya Xing %A Xie, Jing %A Mitchell, Paul %A Foster, Paul J %A Klein, Barbara E K %A Klein, Ronald %A Paterson, Andrew D %A Hosseini, S Mohsen %A Shah, Rupal L %A Williams, Cathy %A Teo, Yik Ying %A Tham, Yih Chung %A Gupta, Preeti %A Zhao, Wanting %A Shi, Yuan %A Saw, Woei-Yuh %A Tai, E-Shyong %A Sim, Xue Ling %A Huffman, Jennifer E %A Polasek, Ozren %A Hayward, Caroline %A Bencic, Goran %A Rudan, Igor %A Wilson, James F %A Joshi, Peter K %A Tsujikawa, Akitaka %A Matsuda, Fumihiko %A Whisenhunt, Kristina N %A Zeller, Tanja %A van der Spek, Peter J %A Haak, Roxanna %A Meijers-Heijboer, Hanne %A van Leeuwen, Elisabeth M %A Iyengar, Sudha K %A Lass, Jonathan H %A Hofman, Albert %A Rivadeneira, Fernando %A Uitterlinden, André G %A Vingerling, Johannes R %A Lehtimäki, Terho %A Raitakari, Olli T %A Biino, Ginevra %A Concas, Maria Pina %A Schwantes-An, Tae-Hwi %A Igo, Robert P %A Cuellar-Partida, Gabriel %A Martin, Nicholas G %A Craig, Jamie E %A Gharahkhani, Puya %A Williams, Katie M %A Nag, Abhishek %A Rahi, Jugnoo S %A Cumberland, Phillippa M %A Delcourt, Cécile %A Bellenguez, Céline %A Ried, Janina S %A Bergen, Arthur A %A Meitinger, Thomas %A Gieger, Christian %A Wong, Tien Yin %A Hewitt, Alex W %A Mackey, David A %A Simpson, Claire L %A Pfeiffer, Norbert %A Pärssinen, Olavi %A Baird, Paul N %A Vitart, Veronique %A Amin, Najaf %A van Duijn, Cornelia M %A Bailey-Wilson, Joan E %A Young, Terri L %A Saw, Seang-Mei %A Stambolian, Dwight %A MacGregor, Stuart %A Guggenheim, Jeremy A %A Tung, Joyce Y %A Hammond, Christopher J %A Klaver, Caroline C W %X

Refractive errors, including myopia, are the most frequent eye disorders worldwide and an increasingly common cause of blindness. This genome-wide association meta-analysis in 160,420 participants and replication in 95,505 participants increased the number of established independent signals from 37 to 161 and showed high genetic correlation between Europeans and Asians (>0.78). Expression experiments and comprehensive in silico analyses identified retinal cell physiology and light processing as prominent mechanisms, and also identified functional contributions to refractive-error development in all cell types of the neurosensory retina, retinal pigment epithelium, vascular endothelium and extracellular matrix. Newly identified genes implicate novel mechanisms such as rod-and-cone bipolar synaptic neurotransmission, anterior-segment morphology and angiogenesis. Thirty-one loci resided in or near regions transcribing small RNAs, thus suggesting a role for post-transcriptional regulation. Our results support the notion that refractive errors are caused by a light-dependent retina-to-sclera signaling cascade and delineate potential pathobiological molecular drivers.

%B Nat Genet %V 50 %P 834-848 %8 2018 Jun %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/29808027?dopt=Abstract %R 10.1038/s41588-018-0127-7 %0 Journal Article %J Nat Genet %D 2018 %T Genome-wide association meta-analysis of individuals of European ancestry identifies new loci explaining a substantial fraction of hair color variation and heritability. %A Hysi, Pirro G %A Valdes, Ana M %A Liu, Fan %A Furlotte, Nicholas A %A Evans, David M %A Bataille, Veronique %A Visconti, Alessia %A Hemani, Gibran %A McMahon, George %A Ring, Susan M %A Smith, George Davey %A Duffy, David L %A Zhu, Gu %A Gordon, Scott D %A Medland, Sarah E %A Lin, Bochao D %A Willemsen, Gonneke %A Jan Hottenga, Jouke %A Vuckovic, Dragana %A Girotto, Giorgia %A Gandin, Ilaria %A Sala, Cinzia %A Concas, Maria Pina %A Brumat, Marco %A Gasparini, Paolo %A Toniolo, Daniela %A Cocca, Massimiliano %A Robino, Antonietta %A Yazar, Seyhan %A Hewitt, Alex W %A Chen, Yan %A Zeng, Changqing %A Uitterlinden, André G %A Ikram, M Arfan %A Hamer, Merel A %A van Duijn, Cornelia M %A Nijsten, Tamar %A Mackey, David A %A Falchi, Mario %A Boomsma, Dorret I %A Martin, Nicholas G %A Hinds, David A %A Kayser, Manfred %A Spector, Timothy D %X

Hair color is one of the most recognizable visual traits in European populations and is under strong genetic control. Here we report the results of a genome-wide association study meta-analysis of almost 300,000 participants of European descent. We identified 123 autosomal and one X-chromosome loci significantly associated with hair color; all but 13 are novel. Collectively, single-nucleotide polymorphisms associated with hair color within these loci explain 34.6% of red hair, 24.8% of blond hair, and 26.1% of black hair heritability in the study populations. These results confirm the polygenic nature of complex phenotypes and improve our understanding of melanin pigment metabolism in humans.

%B Nat Genet %V 50 %P 652-656 %8 2018 May %G eng %N 5 %1 http://www.ncbi.nlm.nih.gov/pubmed/29662168?dopt=Abstract %R 10.1038/s41588-018-0100-5 %0 Journal Article %J Nature %D 2016 %T Genome-wide association study identifies 74 loci associated with educational attainment. %A Okbay, Aysu %A Beauchamp, Jonathan P %A Fontana, Mark Alan %A Lee, James J %A Pers, Tune H %A Rietveld, Cornelius A %A Turley, Patrick %A Chen, Guo-Bo %A Emilsson, Valur %A Meddens, S Fleur W %A Oskarsson, Sven %A Pickrell, Joseph K %A Thom, Kevin %A Timshel, Pascal %A de Vlaming, Ronald %A Abdellaoui, Abdel %A Ahluwalia, Tarunveer S %A Bacelis, Jonas %A Baumbach, Clemens %A Bjornsdottir, Gyda %A Brandsma, Johannes H %A Pina Concas, Maria %A Derringer, Jaime %A Furlotte, Nicholas A %A Galesloot, Tessel E %A Girotto, Giorgia %A Gupta, Richa %A Hall, Leanne M %A Harris, Sarah E %A Hofer, Edith %A Horikoshi, Momoko %A Huffman, Jennifer E %A Kaasik, Kadri %A Kalafati, Ioanna P %A Karlsson, Robert %A Kong, Augustine %A Lahti, Jari %A van der Lee, Sven J %A deLeeuw, Christiaan %A Lind, Penelope A %A Lindgren, Karl-Oskar %A Liu, Tian %A Mangino, Massimo %A Marten, Jonathan %A Mihailov, Evelin %A Miller, Michael B %A van der Most, Peter J %A Oldmeadow, Christopher %A Payton, Antony %A Pervjakova, Natalia %A Peyrot, Wouter J %A Qian, Yong %A Raitakari, Olli %A Rueedi, Rico %A Salvi, Erika %A Schmidt, Börge %A Schraut, Katharina E %A Shi, Jianxin %A Smith, Albert V %A Poot, Raymond A %A St Pourcain, Beate %A Teumer, Alexander %A Thorleifsson, Gudmar %A Verweij, Niek %A Vuckovic, Dragana %A Wellmann, Juergen %A Westra, Harm-Jan %A Yang, Jingyun %A Zhao, Wei %A Zhu, Zhihong %A Alizadeh, Behrooz Z %A Amin, Najaf %A Bakshi, Andrew %A Baumeister, Sebastian E %A Biino, Ginevra %A Bønnelykke, Klaus %A Boyle, Patricia A %A Campbell, Harry %A Cappuccio, Francesco P %A Davies, Gail %A De Neve, Jan-Emmanuel %A Deloukas, Panos %A Demuth, Ilja %A Ding, Jun %A Eibich, Peter %A Eisele, Lewin %A Eklund, Niina %A Evans, David M %A Faul, Jessica D %A Feitosa, Mary F %A Forstner, Andreas J %A Gandin, Ilaria %A Gunnarsson, Bjarni %A Halldórsson, Bjarni V %A Harris, Tamara B %A Heath, Andrew C %A Hocking, Lynne J %A Holliday, Elizabeth G %A Homuth, Georg %A Horan, Michael A %A Hottenga, Jouke-Jan %A de Jager, Philip L %A Joshi, Peter K %A Jugessur, Astanand %A Kaakinen, Marika A %A Kähönen, Mika %A Kanoni, Stavroula %A Keltigangas-Järvinen, Liisa %A Kiemeney, Lambertus A L M %A Kolcic, Ivana %A Koskinen, Seppo %A Kraja, Aldi T %A Kroh, Martin %A Kutalik, Zoltán %A Latvala, Antti %A Launer, Lenore J %A Lebreton, Maël P %A Levinson, Douglas F %A Lichtenstein, Paul %A Lichtner, Peter %A Liewald, David C M %A Loukola, Anu %A Madden, Pamela A %A Mägi, Reedik %A Mäki-Opas, Tomi %A Marioni, Riccardo E %A Marques-Vidal, Pedro %A Meddens, Gerardus A %A McMahon, George %A Meisinger, Christa %A Meitinger, Thomas %A Milaneschi, Yusplitri %A Milani, Lili %A Montgomery, Grant W %A Myhre, Ronny %A Nelson, Christopher P %A Nyholt, Dale R %A Ollier, William E R %A Palotie, Aarno %A Paternoster, Lavinia %A Pedersen, Nancy L %A Petrovic, Katja E %A Porteous, David J %A Räikkönen, Katri %A Ring, Susan M %A Robino, Antonietta %A Rostapshova, Olga %A Rudan, Igor %A Rustichini, Aldo %A Salomaa, Veikko %A Sanders, Alan R %A Sarin, Antti-Pekka %A Schmidt, Helena %A Scott, Rodney J %A Smith, Blair H %A Smith, Jennifer A %A Staessen, Jan A %A Steinhagen-Thiessen, Elisabeth %A Strauch, Konstantin %A Terracciano, Antonio %A Tobin, Martin D %A Ulivi, Sheila %A Vaccargiu, Simona %A Quaye, Lydia %A van Rooij, Frank J A %A Venturini, Cristina %A Vinkhuyzen, Anna A E %A Völker, Uwe %A Völzke, Henry %A Vonk, Judith M %A Vozzi, Diego %A Waage, Johannes %A Ware, Erin B %A Willemsen, Gonneke %A Attia, John R %A Bennett, David A %A Berger, Klaus %A Bertram, Lars %A Bisgaard, Hans %A Boomsma, Dorret I %A Borecki, Ingrid B %A Bültmann, Ute %A Chabris, Christopher F %A Cucca, Francesco %A Cusi, Daniele %A Deary, Ian J %A Dedoussis, George V %A van Duijn, Cornelia M %A Eriksson, Johan G %A Franke, Barbara %A Franke, Lude %A Gasparini, Paolo %A Gejman, Pablo V %A Gieger, Christian %A Grabe, Hans-Jörgen %A Gratten, Jacob %A Groenen, Patrick J F %A Gudnason, Vilmundur %A van der Harst, Pim %A Hayward, Caroline %A Hinds, David A %A Hoffmann, Wolfgang %A Hyppönen, Elina %A Iacono, William G %A Jacobsson, Bo %A Järvelin, Marjo-Riitta %A Jöckel, Karl-Heinz %A Kaprio, Jaakko %A Kardia, Sharon L R %A Lehtimäki, Terho %A Lehrer, Steven F %A Magnusson, Patrik K E %A Martin, Nicholas G %A McGue, Matt %A Metspalu, Andres %A Pendleton, Neil %A Penninx, Brenda W J H %A Perola, Markus %A Pirastu, Nicola %A Pirastu, Mario %A Polasek, Ozren %A Posthuma, Danielle %A Power, Christine %A Province, Michael A %A Samani, Nilesh J %A Schlessinger, David %A Schmidt, Reinhold %A Sørensen, Thorkild I A %A Spector, Tim D %A Stefansson, Kari %A Thorsteinsdottir, Unnur %A Thurik, A Roy %A Timpson, Nicholas J %A Tiemeier, Henning %A Tung, Joyce Y %A Uitterlinden, André G %A Vitart, Veronique %A Vollenweider, Peter %A Weir, David R %A Wilson, James F %A Wright, Alan F %A Conley, Dalton C %A Krueger, Robert F %A Davey Smith, George %A Hofman, Albert %A Laibson, David I %A Medland, Sarah E %A Meyer, Michelle N %A Yang, Jian %A Johannesson, Magnus %A Visscher, Peter M %A Esko, Tõnu %A Koellinger, Philipp D %A Cesarini, David %A Benjamin, Daniel J %K Alzheimer Disease %K Bipolar Disorder %K Brain %K Cognition %K Computational Biology %K Educational Status %K Fetus %K Gene Expression Regulation %K Gene-Environment Interaction %K Genome-Wide Association Study %K Great Britain %K Humans %K Molecular Sequence Annotation %K Polymorphism, Single Nucleotide %K Schizophrenia %X

Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because educational attainment is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric diseases.

%B Nature %V 533 %P 539-42 %8 2016 May 26 %G eng %N 7604 %1 http://www.ncbi.nlm.nih.gov/pubmed/27225129?dopt=Abstract %R 10.1038/nature17671