%0 Journal Article %J Nature Genetics %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 Richard Karlsson Linnér %A Mark Alan Fontana %A Kundu, Tushar %A Lee, Chanwook %A Hui Liu %A Li, Ruoxi %A Royer, Rebecca %A Pascal N Timshel %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 Kathryn E Kemper %A Kleinman, Aaron %A Langenberg, Claudia %A Mägi, Reedik %A Joey W Trampush %A Verma, Shefali Setia %A Wu, Yang %A Lam, Max %A Jing Hua Zhao %A Zheng, Zhili %A Jason D Boardman %A Campbell, Harry %A Freese, Jeremy %A Kathleen Mullan Harris %A Caroline Hayward %A Herd, Pamela %A Kumari, Meena %A Lencz, Todd %A Luan, Jian'an %A Anil K. Malhotra %A Andres Metspalu %A Lili Milani %A Ong, Ken K %A Perry, John R B %A David J Porteous %A Ritchie, Marylyn D %A Smart, Melissa C %A Smith, Blair H %A Tung, Joyce Y %A Wareham, Nicholas J %A James F Wilson %A Jonathan P. Beauchamp %A Dalton C Conley %A Tõnu Esko %A Lehrer, Steven F %A Patrik K E Magnusson %A Oskarsson, Sven %A Pers, Tune H %A Matthew R Robinson %A Thom, Kevin %A Watson, Chelsea %A Chabris, Christopher F %A Meyer, Michelle N %A David I Laibson %A Yang, Jian %A Johannesson, Magnus %A Philipp D Koellinger %A Turley, Patrick %A Peter M Visscher %A Daniel J. Benjamin %A Cesarini, David %K Adult %K Aged %K Aged, 80 and over %K Cohort Studies %K Educational Status %K Female %K Genome-Wide Association Study %K Humans %K Male %K Middle Aged %K Multifactorial Inheritance %K Phenotype %K Polymorphism, Single Nucleotide %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 Nature Genetics %V 50 %P 1112-1121 %8 2018 07 23 %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 2016 %T Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. %A Okbay, Aysu %A Baselmans, Bart M L %A De Neve, Jan-Emmanuel %A Turley, Patrick %A Nivard, Michel G %A Mark Alan Fontana %A Meddens, S Fleur W %A Richard Karlsson Linnér %A Cornelius A Rietveld %A Derringer, Jaime %A Gratten, Jacob %A Lee, James J %A Liu, Jimmy Z %A de Vlaming, Ronald %A Ahluwalia, Tarunveer S %A Buchwald, Jadwiga %A Cavadino, Alana %A Frazier-Wood, Alexis C %A Furlotte, Nicholas A %A Garfield, Victoria %A Geisel, Marie Henrike %A Gonzalez, Juan R %A Haitjema, Saskia %A Karlsson, Robert %A van der Laan, Sander W %A Ladwig, Karl-Heinz %A J. Lahti %A Sven J van der Lee %A Penelope A Lind %A Tian Liu %A Lindsay K Matteson %A Mihailov, Evelin %A Michael B Miller %A Minica, Camelia C %A Ilja M Nolte %A Dennis O Mook-Kanamori %A van der Most, Peter J %A Christopher J Oldmeadow %A Qian, Yong %A Olli T Raitakari %A Rawal, Rajesh %A Realo, Anu %A Rueedi, Rico %A Schmidt, Börge %A Albert Vernon Smith %A Stergiakouli, Evie %A Toshiko Tanaka %A Kent D Taylor %A Wedenoja, Juho %A Jürgen Wellmann %A Westra, Harm-Jan %A Willems, Sara M %A Wei Zhao %A Amin, Najaf %A Bakshi, Andrew %A Patricia A. Boyle %A Cherney, Samantha %A Cox, Simon R %A Gail Davies %A Davis, Oliver S P %A Ding, Jun %A Nese Direk %A Eibich, Peter %A Emeny, Rebecca T %A Fatemifar, Ghazaleh %A Jessica Faul %A Luigi Ferrucci %A Andreas J Forstner %A Gieger, Christian %A Gupta, Richa %A Tamara B Harris %A Harris, Juliette M %A Holliday, Elizabeth G %A Jouke-Jan Hottenga %A Philip L de Jager %A Marika A Kaakinen %A Kajantie, Eero %A Karhunen, Ville %A Kolcic, Ivana %A Kumari, Meena %A Lenore J Launer %A Lude L Franke %A Li-Gao, Ruifang %A Koini, Marisa %A Loukola, Anu %A Marques-Vidal, Pedro %A Grant W Montgomery %A Mosing, Miriam A %A Paternoster, Lavinia %A Pattie, Alison %A Katja E Petrovic %A Pulkki-Raback, Laura %A Quaye, Lydia %A Katri Räikkönen %A Rudan, Igor %A Rodney J Scott %A Jennifer A Smith %A Angelina R Sutin %A Trzaskowski, Maciej %A Anna A E Vinkhuyzen %A Lei Yu %A Zabaneh, Delilah %A John R. Attia %A David A Bennett %A Klaus Berger %A Bertram, Lars %A Dorret I Boomsma %A Snieder, Harold %A Chang, Shun-Chiao %A Francesco Cucca %A Ian J Deary %A Cornelia M van Duijn %A Johan G Eriksson %A Bültmann, Ute %A Eco J. C. de Geus %A Groenen, Patrick J F %A Gudnason, Vilmundur %A Hansen, Torben %A Catharina A Hartman %A Haworth, Claire M A %A Caroline Hayward %A Andrew C Heath %A Hinds, David A %A Hyppönen, Elina %A Iacono, William G %A Järvelin, Marjo-Riitta %A Jöckel, Karl-Heinz %A Kaprio, Jaakko %A Sharon L R Kardia %A Keltikangas-Järvinen, Liisa %A Kraft, Peter %A Laura D Kubzansky %A Lehtimäki, Terho %A Patrik K E Magnusson %A Nicholas G Martin %A McGue, Matt %A Andres Metspalu %A Melinda C Mills %A de Mutsert, Renée %A Oldehinkel, Albertine J %A Pasterkamp, Gerard %A Nancy L Pedersen %A Plomin, Robert %A Polasek, Ozren %A Power, Christine %A Rich, Stephen S %A Rosendaal, Frits R %A Hester M. den Ruijter %A Schlessinger, David %A Schmidt, Helena %A Svento, Rauli %A Schmidt, Reinhold %A Alizadeh, Behrooz Z %A Thorkild I. A. Sørensen %A Timothy Spector %A Andrew Steptoe %A Antonio Terracciano %A A. Roy Thurik %A Nicholas J Timpson %A Henning Tiemeier %A André G Uitterlinden %A Vollenweider, Peter %A Wagner, Gert G %A David R Weir %A Yang, Jian %A Dalton C Conley %A Hofman, Albert %A Johannesson, Magnus %A David I Laibson %A Sarah E Medland %A Meyer, Michelle N %A Pickrell, Joseph K %A Tõnu Esko %A Krueger, Robert F %A Jonathan P. Beauchamp %A Philipp D Koellinger %A Daniel J. Benjamin %A Bartels, Meike %A Cesarini, David %K Anxiety Disorders %K Bayes Theorem %K depression %K Genome-Wide Association Study %K Humans %K Neuroticism %K Phenotype %K Polymorphism, Single Nucleotide %X

Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ^| ≈ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association.

%B Nat Genet %V 48 %P 624-33 %8 2016 06 %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/27089181?dopt=Abstract %R 10.1038/ng.3552 %0 Journal Article %J Nature %D 2016 %T Genome-wide association study identifies 74 loci associated with educational attainment. %A Okbay, Aysu %A Jonathan P. Beauchamp %A Mark Alan Fontana %A Lee, James J %A Pers, Tune H %A Cornelius A Rietveld %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 Pascal N Timshel %A de Vlaming, Ronald %A Abdel Abdellaoui %A Ahluwalia, Tarunveer S %A Bacelis, Jonas %A Baumbach, Clemens %A Bjornsdottir, Gyda %A Brandsma, Johannes H %A Maria Pina Concas %A Derringer, Jaime %A Furlotte, Nicholas A %A Galesloot, Tessel E %A Giorgia G Girotto %A Gupta, Richa %A Hall, Leanne M %A Sarah E Harris %A Edith Hofer %A Horikoshi, Momoko %A Huffman, Jennifer E %A Kaasik, Kadri %A Ioanna Panagiota Kalafati %A Karlsson, Robert %A Kong, Augustine %A Lahti, Jari %A Sven J van der Lee %A Christiaan de Leeuw %A Penelope A Lind %A Lindgren, Karl-Oskar %A Tian Liu %A Mangino, Massimo %A Marten, Jonathan %A Mihailov, Evelin %A Michael B Miller %A van der Most, Peter J %A Christopher J Oldmeadow %A Payton, Antony %A Pervjakova, Natalia %A Wouter J Peyrot %A Qian, Yong %A Olli T Raitakari %A Rueedi, Rico %A Salvi, Erika %A Schmidt, Börge %A Schraut, Katharina E %A Jianxin Shi %A Albert Vernon Smith %A Poot, Raymond A %A St Pourcain, Beate %A Teumer, Alexander %A Thorleifsson, Gudmar %A Verweij, Niek %A Vuckovic, Dragana %A Jürgen Wellmann %A Westra, Harm-Jan %A Yang, Jingyun %A Wei Zhao %A Zhihong Zhu %A Alizadeh, Behrooz Z %A Amin, Najaf %A Bakshi, Andrew %A Baumeister, Sebastian E %A Biino, Ginevra %A Bønnelykke, Klaus %A Patricia A. Boyle %A Campbell, Harry %A Cappuccio, Francesco P %A Gail Davies %A De Neve, Jan-Emmanuel %A Deloukas, Panos %A Demuth, Ilja %A Ding, Jun %A Eibich, Peter %A Eisele, Lewin %A Eklund, Niina %A Jessica Faul %A Feitosa, Mary F %A Andreas J Forstner %A Gandin, Ilaria %A Gunnarsson, Bjarni %A Halldórsson, Bjarni V %A Tamara B Harris %A Andrew C Heath %A Lynne J Hocking %A Holliday, Elizabeth G %A Homuth, Georg %A Horan, Michael A %A Jouke-Jan Hottenga %A Philip L de Jager %A Joshi, Peter K %A Jugessur, Astanand %A Marika A Kaakinen %A Kähönen, Mika %A Kanoni, Stavroula %A Keltigangas-Järvinen, Liisa %A Lambertus A Kiemeney %A Kolcic, Ivana %A Koskinen, Seppo %A Kraja, Aldi T %A Kroh, Martin %A Kutalik, Zoltán %A Latvala, Antti %A Lenore J Launer %A Lebreton, Maël P %A Douglas F Levinson %A Paul Lichtenstein %A Lichtner, Peter %A David C Liewald %A Loukola, Anu %A Pamela A F Madden %A Mägi, Reedik %A Mäki-Opas, Tomi %A Riccardo E Marioni %A Marques-Vidal, Pedro %A Meddens, Gerardus A %A McMahon, George %A Meisinger, Christa %A Meitinger, Thomas %A Milaneschi, Yusplitri %A Lili Milani %A Grant W Montgomery %A Myhre, Ronny %A Nelson, Christopher P %A Nyholt, Dale R %A William E R Ollier %A Aarno Palotie %A Paternoster, Lavinia %A Nancy L Pedersen %A Katja E Petrovic %A David J Porteous %A Katri Räikkönen %A Ring, Susan M %A Robino, Antonietta %A Rostapshova, Olga %A Rudan, Igor %A Rustichini, Aldo %A Veikko Salomaa %A Sanders, Alan R %A Sarin, Antti-Pekka %A Schmidt, Helena %A Rodney J Scott %A Smith, Blair H %A Jennifer A Smith %A Staessen, Jan A %A Steinhagen-Thiessen, Elisabeth %A Strauch, Konstantin %A Antonio Terracciano %A Tobin, Martin D %A Ulivi, Sheila %A Vaccargiu, Simona %A Quaye, Lydia %A van Rooij, Frank J A %A Venturini, Cristina %A Anna A E Vinkhuyzen %A Völker, Uwe %A Völzke, Henry %A Vonk, Judith M %A Vozzi, Diego %A Waage, Johannes %A Erin B Ware %A Gonneke Willemsen %A John R. Attia %A David A Bennett %A Klaus Berger %A Bertram, Lars %A Bisgaard, Hans %A Dorret I Boomsma %A Ingrid B Borecki %A Bültmann, Ute %A Chabris, Christopher F %A Francesco Cucca %A Cusi, Daniele %A Ian J Deary %A George Dedoussis %A Cornelia M van Duijn %A Johan G Eriksson %A Franke, Barbara %A Lude L Franke %A Paolo P. Gasparini %A Gejman, Pablo V %A Gieger, Christian %A Hans-Jörgen Grabe %A Gratten, Jacob %A Groenen, Patrick J F %A Gudnason, Vilmundur %A van der Harst, Pim %A Caroline Hayward %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 Sharon L R Kardia %A Lehtimäki, Terho %A Lehrer, Steven F %A Patrik K E Magnusson %A Nicholas G Martin %A McGue, Matt %A Andres Metspalu %A Pendleton, Neil %A Brenda W J H Penninx %A Markus Perola %A Nicola Pirastu %A Pirastu, Mario %A Polasek, Ozren %A Posthuma, Danielle %A Power, Christine %A Province, Michael A %A Nilesh J Samani %A Schlessinger, David %A Schmidt, Reinhold %A Thorkild I. A. Sørensen %A Timothy Spector %A Stefansson, Kari %A Thorsteinsdottir, Unnur %A A. Roy Thurik %A Nicholas J Timpson %A Henning Tiemeier %A Tung, Joyce Y %A André G Uitterlinden %A Vitart, Veronique %A Vollenweider, Peter %A David R Weir %A James F Wilson %A Alan F Wright %A Dalton C Conley %A Krueger, Robert F %A George Davey Smith %A Hofman, Albert %A David I Laibson %A Sarah E Medland %A Meyer, Michelle N %A Yang, Jian %A Johannesson, Magnus %A Peter M Visscher %A Tõnu Esko %A Philipp D Koellinger %A Cesarini, David %A Daniel J. Benjamin %K Alzheimer's disease %K Bipolar Disorder %K Cognitive Ability %K Education %K Fetus %K Genome-Wide Association Study %K Humans %K Molecular Sequence Annotation %K Polymorphism, Single Nucleotide %K Schizophrenia %K United Kingdom %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 05 26 %G eng %N 7604 %1 http://www.ncbi.nlm.nih.gov/pubmed/27225129?dopt=Abstract %R 10.1038/nature17671 %0 Journal Article %J Twin Res Hum Genet %D 2016 %T Personality Polygenes, Positive Affect, and Life Satisfaction. %A Weiss, Alexander %A Baselmans, Bart M L %A Edith Hofer %A Yang, Jingyun %A Okbay, Aysu %A Penelope A Lind %A Michael B Miller %A Ilja M Nolte %A Wei Zhao %A Hagenaars, Saskia P %A Jouke-Jan Hottenga %A Lindsay K Matteson %A Snieder, Harold %A Jessica Faul %A Catharina A Hartman %A Patricia A. Boyle %A Henning Tiemeier %A Mosing, Miriam A %A Pattie, Alison %A Gail Davies %A David C Liewald %A Schmidt, Reinhold %A Philip L de Jager %A Andrew C Heath %A Markus Jokela %A John M Starr %A Oldehinkel, Albertine J %A Johannesson, Magnus %A Cesarini, David %A Hofman, Albert %A Sarah E Harris %A Jennifer A Smith %A Keltikangas-Järvinen, Liisa %A Pulkki-Raback, Laura %A Schmidt, Helena %A Jacqui Smith %A Iacono, William G %A McGue, Matt %A David A Bennett %A Nancy L Pedersen %A Patrik K E Magnusson %A Ian J Deary %A Nicholas G Martin %A Dorret I Boomsma %A Bartels, Meike %A Luciano, Michelle %K Genetics %K Happiness %K Polygenic Prediction %K SSGAC %K Well-being %X

Approximately half of the variation in wellbeing measures overlaps with variation in personality traits. Studies of non-human primate pedigrees and human twins suggest that this is due to common genetic influences. We tested whether personality polygenic scores for the NEO Five-Factor Inventory (NEO-FFI) domains and for item response theory (IRT) derived extraversion and neuroticism scores predict variance in wellbeing measures. Polygenic scores were based on published genome-wide association (GWA) results in over 17,000 individuals for the NEO-FFI and in over 63,000 for the IRT extraversion and neuroticism traits. The NEO-FFI polygenic scores were used to predict life satisfaction in 7 cohorts, positive affect in 12 cohorts, and general wellbeing in 1 cohort (maximal N = 46,508). Meta-analysis of these results showed no significant association between NEO-FFI personality polygenic scores and the wellbeing measures. IRT extraversion and neuroticism polygenic scores were used to predict life satisfaction and positive affect in almost 37,000 individuals from UK Biobank. Significant positive associations (effect sizes <0.05%) were observed between the extraversion polygenic score and wellbeing measures, and a negative association was observed between the polygenic neuroticism score and life satisfaction. Furthermore, using GWA data, genetic correlations of -0.49 and -0.55 were estimated between neuroticism with life satisfaction and positive affect, respectively. The moderate genetic correlation between neuroticism and wellbeing is in line with twin research showing that genetic influences on wellbeing are also shared with other independent personality domains.

%B Twin Res Hum Genet %V 19 %P 407-17 %8 2016 Oct %G eng %N 5 %R 10.1017/thg.2016.65