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12 results on '"Emilsson, Valur"'

1. Proteomic analysis of Alzheimer's disease cerebrospinal fluid reveals alterations associated with APOE ε4 and atomoxetine treatment.

Author

Dammer EB, Shantaraman A, Ping L, Duong DM, Gerasimov ES, Ravindran SP, Gudmundsdottir V, Frick EA, Gomez GT, Walker KA, Emilsson V, Jennings LL, Gudnason V, Western D, Cruchaga C, Lah JJ, Wingo TS, Wingo AP, Seyfried NT, Levey AI, and Johnson ECB

Subjects
Humans, tau Proteins cerebrospinal fluid, tau Proteins metabolism, Amyloid beta-Peptides cerebrospinal fluid, Amyloid beta-Peptides metabolism, Male, Aged, Female, Biomarkers cerebrospinal fluid, Biomarkers metabolism, Alzheimer Disease cerebrospinal fluid, Alzheimer Disease drug therapy, Alzheimer Disease genetics, Proteomics methods, Apolipoprotein E4 genetics, Atomoxetine Hydrochloride therapeutic use, Atomoxetine Hydrochloride pharmacology
Abstract

Alzheimer's disease (AD) is currently defined by the aggregation of amyloid-β (Aβ) and tau proteins in the brain. Although biofluid biomarkers are available to measure Aβ and tau pathology, few markers are available to measure the complex pathophysiology that is associated with these two cardinal neuropathologies. Here, we characterized the proteomic landscape of cerebrospinal fluid (CSF) changes associated with Aβ and tau pathology in 300 individuals using two different proteomic technologies-tandem mass tag mass spectrometry and SomaScan. Integration of both data types allowed for generation of a robust protein coexpression network consisting of 34 modules derived from 5242 protein measurements, including disease-relevant modules associated with autophagy, ubiquitination, endocytosis, and glycolysis. Three modules strongly associated with the apolipoprotein E ε4 ( APOE ε4) AD risk genotype mapped to oxidant detoxification, mitogen-associated protein kinase signaling, neddylation, and mitochondrial biology and overlapped with a previously described lipoprotein module in serum. Alterations of all three modules in blood were associated with dementia more than 20 years before diagnosis. Analysis of CSF samples from an AD phase 2 clinical trial of atomoxetine (ATX) demonstrated that abnormal elevations in the glycolysis CSF module-the network module most strongly correlated to cognitive function-were reduced by ATX treatment. Clustering of individuals based on their CSF proteomic profiles revealed heterogeneity of pathological changes not fully reflected by Aβ and tau.

Published
2024
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2. Identification of circulating proteins associated with general cognitive function among middle-aged and older adults.

Author

Tin A, Fohner AE, Yang Q, Brody JA, Davies G, Yao J, Liu D, Caro I, Lindbohm JV, Duggan MR, Meirelles O, Harris SE, Gudmundsdottir V, Taylor AM, Henry A, Beiser AS, Shojaie A, Coors A, Fitzpatrick AL, Langenberg C, Satizabal CL, Sitlani CM, Wheeler E, Tucker-Drob EM, Bressler J, Coresh J, Bis JC, Candia J, Jennings LL, Pietzner M, Lathrop M, Lopez OL, Redmond P, Gerszten RE, Rich SS, Heckbert SR, Austin TR, Hughes TM, Tanaka T, Emilsson V, Vasan RS, Guo X, Zhu Y, Tzourio C, Rotter JI, Walker KA, Ferrucci L, Kivimäki M, Breteler MMB, Cox SR, Debette S, Mosley TH, Gudnason VG, Launer LJ, Psaty BM, Seshadri S, and Fornage M

Subjects
Middle Aged, Humans, Aged, Cognition, Neurons, Biomarkers, Alzheimer Disease, Cognitive Dysfunction
Abstract

Identifying circulating proteins associated with cognitive function may point to biomarkers and molecular process of cognitive impairment. Few studies have investigated the association between circulating proteins and cognitive function. We identify 246 protein measures quantified by the SomaScan assay as associated with cognitive function (p < 4.9E-5, n up to 7289). Of these, 45 were replicated using SomaScan data, and three were replicated using Olink data at Bonferroni-corrected significance. Enrichment analysis linked the proteins associated with general cognitive function to cell signaling pathways and synapse architecture. Mendelian randomization analysis implicated higher levels of NECTIN2, a protein mediating viral entry into neuronal cells, with higher Alzheimer's disease (AD) risk (p = 2.5E-26). Levels of 14 other protein measures were implicated as consequences of AD susceptibility (p < 2.0E-4). Proteins implicated as causes or consequences of AD susceptibility may provide new insight into the potential relationship between immunity and AD susceptibility as well as potential therapeutic targets., (© 2023. The Author(s).)

Published
2023
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3. Large-scale plasma proteomic analysis identifies proteins and pathways associated with dementia risk.

Author

Walker KA, Chen J, Zhang J, Fornage M, Yang Y, Zhou L, Grams ME, Tin A, Daya N, Hoogeveen RC, Wu A, Sullivan KJ, Ganz P, Zeger SL, Gudmundsson EF, Emilsson V, Launer LJ, Jennings LL, Gudnason V, Chatterjee N, Gottesman RF, Mosley TH, Boerwinkle E, Ballantyne CM, and Coresh J

Subjects
Humans, Aged, Brain metabolism, Proteome metabolism, Proteomics, Alzheimer Disease genetics
Abstract

The plasma proteomic changes that precede the onset of dementia could yield insights into disease biology and highlight new biomarkers and avenues for intervention. We quantified 4,877 plasma proteins in nondemented older adults in the Atherosclerosis Risk in Communities cohort and performed a proteome-wide association study of dementia risk over five years (n = 4,110; 428 incident cases). Thirty-eight proteins were associated with incident dementia after Bonferroni correction. Of these, 16 were also associated with late-life dementia risk when measured in plasma collected nearly 20 years earlier, during mid-life. Two-sample Mendelian randomization causally implicated two dementia-associated proteins (SVEP1 and angiostatin) in Alzheimer's disease. SVEP1, an immunologically relevant cellular adhesion protein, was found to be part of larger dementia-associated protein networks, and circulating levels were associated with atrophy in brain regions vulnerable to Alzheimer's pathology. Pathway analyses for the broader set of dementia-associated proteins implicated immune, lipid, metabolic signaling and hemostasis pathways in dementia pathogenesis., (© 2021. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.)

Published
2021
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4. Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease.

Author

Sims R, van der Lee SJ, Naj AC, Bellenguez C, Badarinarayan N, Jakobsdottir J, Kunkle BW, Boland A, Raybould R, Bis JC, Martin ER, Grenier-Boley B, Heilmann-Heimbach S, Chouraki V, Kuzma AB, Sleegers K, Vronskaya M, Ruiz A, Graham RR, Olaso R, Hoffmann P, Grove ML, Vardarajan BN, Hiltunen M, Nöthen MM, White CC, Hamilton-Nelson KL, Epelbaum J, Maier W, Choi SH, Beecham GW, Dulary C, Herms S, Smith AV, Funk CC, Derbois C, Forstner AJ, Ahmad S, Li H, Bacq D, Harold D, Satizabal CL, Valladares O, Squassina A, Thomas R, Brody JA, Qu L, Sánchez-Juan P, Morgan T, Wolters FJ, Zhao Y, Garcia FS, Denning N, Fornage M, Malamon J, Naranjo MCD, Majounie E, Mosley TH, Dombroski B, Wallon D, Lupton MK, Dupuis J, Whitehead P, Fratiglioni L, Medway C, Jian X, Mukherjee S, Keller L, Brown K, Lin H, Cantwell LB, Panza F, McGuinness B, Moreno-Grau S, Burgess JD, Solfrizzi V, Proitsi P, Adams HH, Allen M, Seripa D, Pastor P, Cupples LA, Price ND, Hannequin D, Frank-García A, Levy D, Chakrabarty P, Caffarra P, Giegling I, Beiser AS, Giedraitis V, Hampel H, Garcia ME, Wang X, Lannfelt L, Mecocci P, Eiriksdottir G, Crane PK, Pasquier F, Boccardi V, Henández I, Barber RC, Scherer M, Tarraga L, Adams PM, Leber M, Chen Y, Albert MS, Riedel-Heller S, Emilsson V, Beekly D, Braae A, Schmidt R, Blacker D, Masullo C, Schmidt H, Doody RS, Spalletta G, Longstreth WT Jr, Fairchild TJ, Bossù P, Lopez OL, Frosch MP, Sacchinelli E, Ghetti B, Yang Q, Huebinger RM, Jessen F, Li S, Kamboh MI, Morris J, Sotolongo-Grau O, Katz MJ, Corcoran C, Dunstan M, Braddel A, Thomas C, Meggy A, Marshall R, Gerrish A, Chapman J, Aguilar M, Taylor S, Hill M, Fairén MD, Hodges A, Vellas B, Soininen H, Kloszewska I, Daniilidou M, Uphill J, Patel Y, Hughes JT, Lord J, Turton J, Hartmann AM, Cecchetti R, Fenoglio C, Serpente M, Arcaro M, Caltagirone C, Orfei MD, Ciaramella A, Pichler S, Mayhaus M, Gu W, Lleó A, Fortea J, Blesa R, Barber IS, Brookes K, Cupidi C, Maletta RG, Carrell D, Sorbi S, Moebus S, Urbano M, Pilotto A, Kornhuber J, Bosco P, Todd S, Craig D, Johnston J, Gill M, Lawlor B, Lynch A, Fox NC, Hardy J, Albin RL, Apostolova LG, Arnold SE, Asthana S, Atwood CS, Baldwin CT, Barnes LL, Barral S, Beach TG, Becker JT, Bigio EH, Bird TD, Boeve BF, Bowen JD, Boxer A, Burke JR, Burns JM, Buxbaum JD, Cairns NJ, Cao C, Carlson CS, Carlsson CM, Carney RM, Carrasquillo MM, Carroll SL, Diaz CC, Chui HC, Clark DG, Cribbs DH, Crocco EA, DeCarli C, Dick M, Duara R, Evans DA, Faber KM, Fallon KB, Fardo DW, Farlow MR, Ferris S, Foroud TM, Galasko DR, Gearing M, Geschwind DH, Gilbert JR, Graff-Radford NR, Green RC, Growdon JH, Hamilton RL, Harrell LE, Honig LS, Huentelman MJ, Hulette CM, Hyman BT, Jarvik GP, Abner E, Jin LW, Jun G, Karydas A, Kaye JA, Kim R, Kowall NW, Kramer JH, LaFerla FM, Lah JJ, Leverenz JB, Levey AI, Li G, Lieberman AP, Lunetta KL, Lyketsos CG, Marson DC, Martiniuk F, Mash DC, Masliah E, McCormick WC, McCurry SM, McDavid AN, McKee AC, Mesulam M, Miller BL, Miller CA, Miller JW, Morris JC, Murrell JR, Myers AJ, O'Bryant S, Olichney JM, Pankratz VS, Parisi JE, Paulson HL, Perry W, Peskind E, Pierce A, Poon WW, Potter H, Quinn JF, Raj A, Raskind M, Reisberg B, Reitz C, Ringman JM, Roberson ED, Rogaeva E, Rosen HJ, Rosenberg RN, Sager MA, Saykin AJ, Schneider JA, Schneider LS, Seeley WW, Smith AG, Sonnen JA, Spina S, Stern RA, Swerdlow RH, Tanzi RE, Thornton-Wells TA, Trojanowski JQ, Troncoso JC, Van Deerlin VM, Van Eldik LJ, Vinters HV, Vonsattel JP, Weintraub S, Welsh-Bohmer KA, Wilhelmsen KC, Williamson J, Wingo TS, Woltjer RL, Wright CB, Yu CE, Yu L, Garzia F, Golamaully F, Septier G, Engelborghs S, Vandenberghe R, De Deyn PP, Fernadez CM, Benito YA, Thonberg H, Forsell C, Lilius L, Kinhult-Stählbom A, Kilander L, Brundin R, Concari L, Helisalmi S, Koivisto AM, Haapasalo A, Dermecourt V, Fievet N, Hanon O, Dufouil C, Brice A, Ritchie K, Dubois B, Himali JJ, Keene CD, Tschanz J, Fitzpatrick AL, Kukull WA, Norton M, Aspelund T, Larson EB, Munger R, Rotter JI, Lipton RB, Bullido MJ, Hofman A, Montine TJ, Coto E, Boerwinkle E, Petersen RC, Alvarez V, Rivadeneira F, Reiman EM, Gallo M, O'Donnell CJ, Reisch JS, Bruni AC, Royall DR, Dichgans M, Sano M, Galimberti D, St George-Hyslop P, Scarpini E, Tsuang DW, Mancuso M, Bonuccelli U, Winslow AR, Daniele A, Wu CK, Peters O, Nacmias B, Riemenschneider M, Heun R, Brayne C, Rubinsztein DC, Bras J, Guerreiro R, Al-Chalabi A, Shaw CE, Collinge J, Mann D, Tsolaki M, Clarimón J, Sussams R, Lovestone S, O'Donovan MC, Owen MJ, Behrens TW, Mead S, Goate AM, Uitterlinden AG, Holmes C, Cruchaga C, Ingelsson M, Bennett DA, Powell J, Golde TE, Graff C, De Jager PL, Morgan K, Ertekin-Taner N, Combarros O, Psaty BM, Passmore P, Younkin SG, Berr C, Gudnason V, Rujescu D, Dickson DW, Dartigues JF, DeStefano AL, Ortega-Cubero S, Hakonarson H, Campion D, Boada M, Kauwe JK, Farrer LA, Van Broeckhoven C, Ikram MA, Jones L, Haines JL, Tzourio C, Launer LJ, Escott-Price V, Mayeux R, Deleuze JF, Amin N, Holmans PA, Pericak-Vance MA, Amouyel P, van Duijn CM, Ramirez A, Wang LS, Lambert JC, Seshadri S, Williams J, and Schellenberg GD

Subjects
Amino Acid Sequence, Case-Control Studies, Exome genetics, Gene Expression Profiling, Gene Frequency, Genetic Predisposition to Disease genetics, Genotype, Humans, Linkage Disequilibrium, Odds Ratio, Protein Interaction Maps genetics, Sequence Homology, Amino Acid, Adaptor Proteins, Signal Transducing genetics, Alzheimer Disease genetics, Immunity, Innate genetics, Membrane Glycoproteins genetics, Microglia metabolism, Phospholipase C gamma genetics, Polymorphism, Single Nucleotide, Receptors, Immunologic genetics
Abstract

We identified rare coding variants associated with Alzheimer's disease in a three-stage case-control study of 85,133 subjects. In stage 1, we genotyped 34,174 samples using a whole-exome microarray. In stage 2, we tested associated variants (P < 1 × 10 -4 ) in 35,962 independent samples using de novo genotyping and imputed genotypes. In stage 3, we used an additional 14,997 samples to test the most significant stage 2 associations (P < 5 × 10 -8 ) using imputed genotypes. We observed three new genome-wide significant nonsynonymous variants associated with Alzheimer's disease: a protective variant in PLCG2 (rs72824905: p.Pro522Arg, P = 5.38 × 10 -10 , odds ratio (OR) = 0.68, minor allele frequency (MAF) cases = 0.0059, MAF controls = 0.0093), a risk variant in ABI3 (rs616338: p.Ser209Phe, P = 4.56 × 10 -10 , OR = 1.43, MAF cases = 0.011, MAF controls = 0.008), and a new genome-wide significant variant in TREM2 (rs143332484: p.Arg62His, P = 1.55 × 10 -14 , OR = 1.67, MAF cases = 0.0143, MAF controls = 0.0089), a known susceptibility gene for Alzheimer's disease. These protein-altering changes are in genes highly expressed in microglia and highlight an immune-related protein-protein interaction network enriched for previously identified risk genes in Alzheimer's disease. These genetic findings provide additional evidence that the microglia-mediated innate immune response contributes directly to the development of Alzheimer's disease.

Published
2017
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5. Rare Functional Variant in TM2D3 is Associated with Late-Onset Alzheimer's Disease.

Author

Jakobsdottir J, van der Lee SJ, Bis JC, Chouraki V, Li-Kroeger D, Yamamoto S, Grove ML, Naj A, Vronskaya M, Salazar JL, DeStefano AL, Brody JA, Smith AV, Amin N, Sims R, Ibrahim-Verbaas CA, Choi SH, Satizabal CL, Lopez OL, Beiser A, Ikram MA, Garcia ME, Hayward C, Varga TV, Ripatti S, Franks PW, Hallmans G, Rolandsson O, Jansson JH, Porteous DJ, Salomaa V, Eiriksdottir G, Rice KM, Bellen HJ, Levy D, Uitterlinden AG, Emilsson V, Rotter JI, Aspelund T, O'Donnell CJ, Fitzpatrick AL, Launer LJ, Hofman A, Wang LS, Williams J, Schellenberg GD, Boerwinkle E, Psaty BM, Seshadri S, Shulman JM, Gudnason V, and van Duijn CM

Subjects
Age of Onset, Aged, Alleles, Alzheimer Disease pathology, Amyloid beta-Protein Precursor genetics, Animals, Apolipoproteins E genetics, Drosophila melanogaster genetics, Exome genetics, Female, Genome-Wide Association Study, Genomics, Humans, Iceland, Intracellular Signaling Peptides and Proteins genetics, Male, Mutation, Phenotype, White People, Alzheimer Disease genetics, Drosophila Proteins genetics, Membrane Proteins genetics, Receptors, Notch genetics, Tropomyosin genetics
Abstract

We performed an exome-wide association analysis in 1393 late-onset Alzheimer's disease (LOAD) cases and 8141 controls from the CHARGE consortium. We found that a rare variant (P155L) in TM2D3 was enriched in Icelanders (~0.5% versus <0.05% in other European populations). In 433 LOAD cases and 3903 controls from the Icelandic AGES sub-study, P155L was associated with increased risk and earlier onset of LOAD [odds ratio (95% CI) = 7.5 (3.5-15.9), p = 6.6x10-9]. Mutation in the Drosophila TM2D3 homolog, almondex, causes a phenotype similar to loss of Notch/Presenilin signaling. Human TM2D3 is capable of rescuing these phenotypes, but this activity is abolished by P155L, establishing it as a functionally damaging allele. Our results establish a rare TM2D3 variant in association with LOAD susceptibility, and together with prior work suggests possible links to the β-amyloid cascade., Competing Interests: PWF has been paid consultant on scientific advisory boards for Eli Lilly Inc and Sanofi Aventis. He has also recent research grants from pharmaceutical agencies as part of the EU Innovative Medicines Initiative. BMP serves on the DSMB of a clinical trial funded by Zoll LifeCor and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. All other authors have declared that no competing interests exist.

Published
2016
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6. Characterization of Genetic Networks Associated with Alzheimer's Disease.

Author

Zhang B, Tran L, Emilsson V, and Zhu J

Subjects
Bayes Theorem, Humans, Alzheimer Disease genetics, Gene Regulatory Networks, Systems Biology methods
Abstract

At the molecular level, the genetics of complex disease such as Alzheimer's disease (AD) manifests itself as series of alterations in the molecular interactions in pathways and networks that define biological processes underlying the pathophysiological states of disease. While large-scale genome-wide association (GWA) studies of late-onset alzheimer's disease (LOAD) have uncovered prominent genomic regions linked to the disease, the cause for the vast majority of LOAD cases still remains unknown. Increasingly available large-scale genomic and genetic data related to LOAD has made it possible to comprehensively uncover the mechanisms causally lined to LOAD in a completely data-driven manner. Here we review the various aspects of systems/network biology approaches and methodology in constructing genetic networks associated with AD from large sampling of postmortem brain tissues. We describe in detail a multiscale network modeling approach (MNMA) that integrates interaction and causal gene networks to analyze large-scale DNA, gene expression and pathophysiological data from multiple post-mortem brain regions of LOAD patients as well non-demented normal controls. MNMA first employs weighted gene co-expression network analysis (WGCNA) to construct multi-tissue networks that simultaneously capture intra-tissue and inter-tissue gene-gene interactions and then quantifies the change in connectivity among highly co-expressed genes in LOAD with respect to the normal state. Co-expressed gene modules are then rank ordered by relevance to pathophysiological traits and enrichment of genes differentially expressed in LOAD. Causal regulatory relationships among the genes in each module are then determined by a Bayesian network inference framework that is used to formally integrate genetic and gene expression information. MNMA has uncovered a massive remodeling of network structures in LOAD and identified novel subnetworks and key regulators that are causally linked to LOAD. In the end, we will outline the challenges in systems/network approaches to LOAD.

Published
2016
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7. PLD3 variants in population studies.

Author

van der Lee SJ, Holstege H, Wong TH, Jakobsdottir J, Bis JC, Chouraki V, van Rooij JG, Grove ML, Smith AV, Amin N, Choi SH, Beiser AS, Garcia ME, van IJcken WF, Pijnenburg YA, Louwersheimer E, Brouwer RW, van den Hout MC, Oole E, Eirkisdottir G, Levy D, Rotter JI, Emilsson V, O'Donnell CJ, Aspelund T, Uitterlinden AG, Launer LJ, Hofman A, Boerwinkle E, Psaty BM, DeStefano AL, Scheltens P, Seshadri S, van Swieten JC, Gudnason V, van der Flier WM, Ikram MA, and van Duijn CM

Subjects
Female, Humans, Male, Alzheimer Disease genetics, Genetic Predisposition to Disease genetics, Genetic Variation genetics, Phospholipase D genetics
Published
2015
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8. Common dysregulation network in the human prefrontal cortex underlies two neurodegenerative diseases.

Author

Narayanan M, Huynh JL, Wang K, Yang X, Yoo S, McElwee J, Zhang B, Zhang C, Lamb JR, Xie T, Suver C, Molony C, Melquist S, Johnson AD, Fan G, Stone DJ, Schadt EE, Casaccia P, Emilsson V, and Zhu J

Subjects
Alzheimer Disease pathology, Animals, Autopsy, Case-Control Studies, Chromatin metabolism, DNA (Cytosine-5-)-Methyltransferase 1, DNA (Cytosine-5-)-Methyltransferases genetics, DNA Methyltransferase 3A, Dementia pathology, Gene Expression Profiling, Gene Expression Regulation, Humans, Huntington Disease pathology, Mice, Mice, Knockout, Prefrontal Cortex pathology, Reproducibility of Results, Alzheimer Disease genetics, Gene Regulatory Networks, Huntington Disease genetics, Prefrontal Cortex metabolism
Abstract

Using expression profiles from postmortem prefrontal cortex samples of 624 dementia patients and non-demented controls, we investigated global disruptions in the co-regulation of genes in two neurodegenerative diseases, late-onset Alzheimer's disease (AD) and Huntington's disease (HD). We identified networks of differentially co-expressed (DC) gene pairs that either gained or lost correlation in disease cases relative to the control group, with the former dominant for both AD and HD and both patterns replicating in independent human cohorts of AD and aging. When aligning networks of DC patterns and physical interactions, we identified a 242-gene subnetwork enriched for independent AD/HD signatures. This subnetwork revealed a surprising dichotomy of gained/lost correlations among two inter-connected processes, chromatin organization and neural differentiation, and included DNA methyltransferases, DNMT1 and DNMT3A, of which we predicted the former but not latter as a key regulator. To validate the inter-connection of these two processes and our key regulator prediction, we generated two brain-specific knockout (KO) mice and show that Dnmt1 KO signature significantly overlaps with the subnetwork (P = 3.1 × 10(-12)), while Dnmt3a KO signature does not (P = 0.017)., (Published 2014. This article is a U.S. Government work and is in the public domain in the USA.)

Published
2014
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9. Integrated systems approach identifies genetic nodes and networks in late-onset Alzheimer's disease.

Author

Zhang B, Gaiteri C, Bodea LG, Wang Z, McElwee J, Podtelezhnikov AA, Zhang C, Xie T, Tran L, Dobrin R, Fluder E, Clurman B, Melquist S, Narayanan M, Suver C, Shah H, Mahajan M, Gillis T, Mysore J, MacDonald ME, Lamb JR, Bennett DA, Molony C, Stone DJ, Gudnason V, Myers AJ, Schadt EE, Neumann H, Zhu J, and Emilsson V

Subjects
Adaptor Proteins, Signal Transducing metabolism, Alzheimer Disease metabolism, Animals, Bayes Theorem, Brain pathology, Humans, Membrane Proteins metabolism, Mice, Microglia metabolism, Alzheimer Disease genetics, Brain metabolism, Gene Regulatory Networks
Abstract

The genetics of complex disease produce alterations in the molecular interactions of cellular pathways whose collective effect may become clear through the organized structure of molecular networks. To characterize molecular systems associated with late-onset Alzheimer's disease (LOAD), we constructed gene-regulatory networks in 1,647 postmortem brain tissues from LOAD patients and nondemented subjects, and we demonstrate that LOAD reconfigures specific portions of the molecular interaction structure. Through an integrative network-based approach, we rank-ordered these network structures for relevance to LOAD pathology, highlighting an immune- and microglia-specific module that is dominated by genes involved in pathogen phagocytosis, contains TYROBP as a key regulator, and is upregulated in LOAD. Mouse microglia cells overexpressing intact or truncated TYROBP revealed expression changes that significantly overlapped the human brain TYROBP network. Thus the causal network structure is a useful predictor of response to gene perturbations and presents a framework to test models of disease mechanisms underlying LOAD., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Published
2013
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10. Genome-wide association study identifies 74 loci associated with educational attainment

Author

Okbay, Aysu, Beauchamp, Jonathan P, Fontana, Mark Alan, Lee, James J, Pers, Tune H, Rietveld, Cornelius A, Turley, Patrick, Chen, Guo-Bo, Emilsson, Valur, Meddens, S Fleur W, Oskarsson, Sven, Pickrell, Joseph K, Thom, Kevin, Timshel, Pascal, de Vlaming, Ronald, Abdellaoui, Abdel, Ahluwalia, Tarunveer S, Bacelis, Jonas, Baumbach, Clemens, Bjornsdottir, Gyda, Brandsma, Johannes H, Pina Concas, Maria, Derringer, Jaime, Furlotte, Nicholas A, Galesloot, Tessel E, Girotto, Giorgia, Gupta, Richa, Hall, Leanne M, Harris, Sarah E, Hofer, Edith, Horikoshi, Momoko, Huffman, Jennifer E, Kaasik, Kadri, Kalafati, Ioanna P, Karlsson, Robert, Kong, Augustine, Lahti, Jari, Lee, Sven J van der, deLeeuw, Christiaan, Lind, Penelope A, Lindgren, Karl-Oskar, Liu, Tian, Mangino, Massimo, Marten, Jonathan, Mihailov, Evelin, Miller, Michael B, van der Most, Peter J, Oldmeadow, Christopher, Payton, Antony, Pervjakova, Natalia, Peyrot, Wouter J, Qian, Yong, Raitakari, Olli, Rueedi, Rico, Salvi, Erika, Schmidt, Börge, Schraut, Katharina E, Shi, Jianxin, Smith, Albert V, Poot, Raymond A, St Pourcain, Beate, Teumer, Alexander, Thorleifsson, Gudmar, Verweij, Niek, Vuckovic, Dragana, Wellmann, Juergen, Westra, Harm-Jan, Yang, Jingyun, Zhao, Wei, Zhu, Zhihong, Alizadeh, Behrooz Z, Amin, Najaf, Bakshi, Andrew, Baumeister, Sebastian E, Biino, Ginevra, Bønnelykke, Klaus, Boyle, Patricia A, Campbell, Harry, Cappuccio, Francesco P, Davies, Gail, De Neve, Jan-Emmanuel, Deloukas, Panos, Demuth, Ilja, Ding, Jun, Eibich, Peter, Eisele, Lewin, Eklund, Niina, Evans, David M, Faul, Jessica D, Feitosa, Mary F, Forstner, Andreas J, Gandin, Ilaria, Gunnarsson, Bjarni, Halldórsson, Bjarni V, Harris, Tamara B, Heath, Andrew C, Hocking, Lynne J, Holliday, Elizabeth G, Homuth, Georg, and Horan, Michael A

Subjects
Biological Sciences, Genetics, Epidemiology, Health Sciences, Statistics, Mathematical Sciences, Human Genome, Clinical Research, Alzheimer Disease, Bipolar Disorder, Brain, Cognition, Computational Biology, Educational Status, Fetus, Gene Expression Regulation, Gene-Environment Interaction, Genome-Wide Association Study, Humans, Molecular Sequence Annotation, Polymorphism, Single Nucleotide, Schizophrenia, United Kingdom, LifeLines Cohort Study, General Science & Technology
Abstract

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.

Published
2016

11. Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease

Author

Sims, Rebecca, Van Der Lee, Sven J, Naj, Adam C, Bellenguez, Céline, Badarinarayan, Nandini, Jakobsdottir, Johanna, Kunkle, Brian W, Boland, Anne, Raybould, Rachel, Bis, Joshua C, Martin, Eden R, Grenier-Boley, Benjamin, Heilmann-Heimbach, Stefanie, Chouraki, Vincent, Kuzma, Amanda B, Sleegers, Kristel, Vronskaya, Maria, Ruiz, Agustin, Graham, Robert R, Olaso, Robert, Hoffmann, Per, Grove, Megan L, Vardarajan, Badri N, Hiltunen, Mikko, Nöthen, Markus M, White, Charles C, Hamilton-Nelson, Kara L, Epelbaum, Jacques, Maier, Wolfgang, Choi, Seung-Hoan, Beecham, Gary W, Dulary, Cécile, Herms, Stefan, Smith, Albert V, Funk, Cory C, Derbois, Céline, Forstner, Andreas J, Ahmad, Shahzad, Li, Hongdong, Bacq, Delphine, Harold, Denise, Satizabal, Claudia L, Valladares, Otto, Squassina, Alessio, Thomas, Rhodri, Brody, Jennifer A, Qu, Liming, Sánchez-Juan, Pascual, Morgan, Taniesha, Wolters, Frank J, Zhao, Yi, Garcia, Florentino Sanchez, Denning, Nicola, Fornage, Myriam, Malamon, John, Naranjo, Maria Candida Deniz, Majounie, Elisa, Mosley, Thomas H, Dombroski, Beth, Wallon, David, Lupton, Michelle K, Dupuis, Josée, Whitehead, Patrice, Fratiglioni, Laura, Medway, Christopher, Jian, Xueqiu, Mukherjee, Shubhabrata, Keller, Lina, Brown, Kristelle, Lin, Honghuang, Cantwell, Laura B, Panza, Francesco, McGuinness, Bernadette, Moreno-Grau, Sonia, Burgess, Jeremy D, Solfrizzi, Vincenzo, Proitsi, Petra, Adams, Hieab H, Allen, Mariet, Seripa, Davide, Pastor, Pau, Cupples, L Adrienne, Price, Nathan D, Hannequin, Didier, Frank-García, Ana, Levy, Daniel, Chakrabarty, Paramita, Caffarra, Paolo, Giegling, Ina, Beiser, Alexa S, Giedraitis, Vilmantas, Hampel, Harald, Garcia, Melissa E, Wang, Xue, Lannfelt, Lars, Mecocci, Patrizia, Eiriksdottir, Gudny, Crane, Paul K, Pasquier, Florence, Boccardi, Virginia, Henández, Isabel, Barber, Robert C, Scherer, Martin, Tarraga, Lluis, Adams, Perrie M, Leber, Markus, Chen, Yuning, Albert, Marilyn S, Riedel-Heller, Steffi, Emilsson, Valur, Beekly, Duane, Braae, Anne, Schmidt, Reinhold, Blacker, Deborah, Masullo, Carlo, Schmidt, Helena, Doody, Rachelle S, Spalletta, Gianfranco, Longstreth, WT, Fairchild, Thomas J, Bossù, Paola, Lopez, Oscar L, Frosch, Matthew P, Sacchinelli, Eleonora, Ghetti, Bernardino, Yang, Qiong, Huebinger, Ryan M, Jessen, Frank, Li, Shuo, Kamboh, M Ilyas, Morris, John, Sotolongo-Grau, Oscar, Katz, Mindy J, Corcoran, Chris, Dunstan, Melanie, Braddel, Amy, Thomas, Charlene, Meggy, Alun, Marshall, Rachel, Gerrish, Amy, Chapman, Jade, Aguilar, Miquel, Taylor, Sarah, Hill, Matt, Fairén, Mònica Díez, Hodges, Angela, Vellas, Bruno, Soininen, Hilkka, Kloszewska, Iwona, Daniilidou, Makrina, Uphill, James, Patel, Yogen, Hughes, Joseph T, Lord, Jenny, Turton, James, Hartmann, Annette M, Cecchetti, Roberta, Fenoglio, Chiara, Serpente, Maria, Arcaro, Marina, Caltagirone, Carlo, Orfei, Maria Donata, Ciaramella, Antonio, Pichler, Sabrina, Mayhaus, Manuel, Gu, Wei, Lleó, Alberto, Fortea, Juan, Blesa, Rafael, Barber, Imelda S, Brookes, Keeley, Cupidi, Chiara, Maletta, Raffaele Giovanni, Carrell, David, Sorbi, Sandro, Moebus, Susanne, Urbano, Maria, Pilotto, Alberto, Kornhuber, Johannes, Bosco, Paolo, Todd, Stephen, Craig, David, Johnston, Janet, Gill, Michael, Lawlor, Brian, Lynch, Aoibhinn, Fox, Nick C, Hardy, John, ARUK Consortium, Albin, Roger L, Apostolova, Liana G, Arnold, Steven E, Asthana, Sanjay, Atwood, Craig S, Baldwin, Clinton T, Barnes, Lisa L, Barral, Sandra, Beach, Thomas G, Becker, James T, Bigio, Eileen H, Bird, Thomas D, Boeve, Bradley F, Bowen, James D, Boxer, Adam, Burke, James R, Burns, Jeffrey M, Buxbaum, Joseph D, Cairns, Nigel J, Cao, Chuanhai, Carlson, Chris S, Carlsson, Cynthia M, Carney, Regina M, Carrasquillo, Minerva M, Carroll, Steven L, Diaz, Carolina Ceballos, Chui, Helena C, Clark, David G, Cribbs, David H, Crocco, Elizabeth A, DeCarli, Charles, Dick, Malcolm, Duara, Ranjan, Evans, Denis A, Faber, Kelley M, Fallon, Kenneth B, Fardo, David W, Farlow, Martin R, Ferris, Steven, Foroud, Tatiana M, Galasko, Douglas R, Gearing, Marla, Geschwind, Daniel H, Gilbert, John R, Graff-Radford, Neill R, Green, Robert C, Growdon, John H, Hamilton, Ronald L, Harrell, Lindy E, Honig, Lawrence S, Huentelman, Matthew J, Hulette, Christine M, Hyman, Bradley T, Jarvik, Gail P, Abner, Erin, Jin, Lee-Way, Jun, Gyungah, Karydas, Anna, Kaye, Jeffrey A, Kim, Ronald, Kowall, Neil W, Kramer, Joel H, LaFerla, Frank M, Lah, James J, Leverenz, James B, Levey, Allan I, Li, Ge, Lieberman, Andrew P, Lunetta, Kathryn L, Lyketsos, Constantine G, Marson, Daniel C, Martiniuk, Frank, Mash, Deborah C, Masliah, Eliezer, McCormick, Wayne C, McCurry, Susan M, McDavid, Andrew N, McKee, Ann C, Mesulam, Marsel, Miller, Bruce L, Miller, Carol A, Miller, Joshua W, Morris, John C, Murrell, Jill R, Myers, Amanda J, O'Bryant, Sid, Olichney, John M, Pankratz, Vernon S, Parisi, Joseph E, Paulson, Henry L, Perry, William, Peskind, Elaine, Pierce, Aimee, Poon, Wayne W, Potter, Huntington, Quinn, Joseph F, Raj, Ashok, Raskind, Murray, Reisberg, Barry, Reitz, Christiane, Ringman, John M, Roberson, Erik D, Rogaeva, Ekaterina, Rosen, Howard J, Rosenberg, Roger N, Sager, Mark A, Saykin, Andrew J, Schneider, Julie A, Schneider, Lon S, Seeley, William W, Smith, Amanda G, Sonnen, Joshua A, Spina, Salvatore, Stern, Robert A, Swerdlow, Russell H, Tanzi, Rudolph E, Thornton-Wells, Tricia A, Trojanowski, John Q, Troncoso, Juan C, Van Deerlin, Vivianna M, Van Eldik, Linda J, Vinters, Harry V, Vonsattel, Jean Paul, Weintraub, Sandra, Welsh-Bohmer, Kathleen A, Wilhelmsen, Kirk C, Williamson, Jennifer, Wingo, Thomas S, Woltjer, Randall L, Wright, Clinton B, Yu, Chang-En, Yu, Lei, Garzia, Fabienne, Golamaully, Feroze, Septier, Gislain, Engelborghs, Sebastien, Vandenberghe, Rik, De Deyn, Peter P, Fernadez, Carmen Muñoz, Benito, Yoland Aladro, Thonberg, Hakan, Forsell, Charlotte, Lilius, Lena, Kinhult-Stählbom, Anne, Kilander, Lena, Brundin, RoseMarie, Concari, Letizia, Helisalmi, Seppo, Koivisto, Anne Maria, Haapasalo, Annakaisa, Dermecourt, Vincent, Fievet, Nathalie, Hanon, Olivier, Dufouil, Carole, Brice, Alexis, Ritchie, Karen, Dubois, Bruno, Himali, Jayanadra J, Keene, C Dirk, Tschanz, JoAnn, Fitzpatrick, Annette L, Kukull, Walter A, Norton, Maria, Aspelund, Thor, Larson, Eric B, Munger, Ron, Rotter, Jerome I, Lipton, Richard B, Bullido, María J, Hofman, Albert, Montine, Thomas J, Coto, Eliecer, Boerwinkle, Eric, Petersen, Ronald C, Alvarez, Victoria, Rivadeneira, Fernando, Reiman, Eric M, Gallo, Maura, O'Donnell, Christopher J, Reisch, Joan S, Bruni, Amalia Cecilia, Royall, Donald R, Dichgans, Martin, Sano, Mary, Galimberti, Daniela, St George-Hyslop, Peter, Scarpini, Elio, Tsuang, Debby W, Mancuso, Michelangelo, Bonuccelli, Ubaldo, Winslow, Ashley R, Daniele, Antonio, Wu, Chuang-Kuo, GERAD/PERADES, CHARGE, Peters, Oliver, Nacmias, Benedetta, Riemenschneider, Matthias, Heun, Reinhard, Brayne, Carol, Rubinsztein, David C, Bras, Jose, Guerreiro, Rita, Al-Chalabi, Ammar, Shaw, Christopher E, Collinge, John, Mann, David, Tsolaki, Magda, Clarimón, Jordi, Sussams, Rebecca, Lovestone, Simon, O'Donovan, Michael C, Owen, Michael J, Behrens, Timothy W, Mead, Simon, Goate, Alison M, Uitterlinden, Andre G, Holmes, Clive, Cruchaga, Carlos, Ingelsson, Martin, Bennett, David A, Powell, John, Golde, Todd E, Graff, Caroline, De Jager, Philip L, Morgan, Kevin, Ertekin-Taner, Nilufer, Combarros, Onofre, Psaty, Bruce M, Passmore, Peter, Younkin, Steven G, Berr, Claudine, Gudnason, Vilmundur, Rujescu, Dan, Dickson, Dennis W, Dartigues, Jean-François, DeStefano, Anita L, Ortega-Cubero, Sara, Hakonarson, Hakon, Campion, Dominique, Boada, Merce, Kauwe, John Keoni, Farrer, Lindsay A, Van Broeckhoven, Christine, Ikram, M Arfan, Jones, Lesley, Haines, Jonathan L, Tzourio, Christophe, Launer, Lenore J, Escott-Price, Valentina, Mayeux, Richard, Deleuze, Jean-François, Amin, Najaf, Holmans, Peter A, Pericak-Vance, Margaret A, Amouyel, Philippe, Van Duijn, Cornelia M, Ramirez, Alfredo, Wang, Li-San, Lambert, Jean-Charles, Seshadri, Sudha, Williams, Julie, and Schellenberg, Gerard D

Subjects
Membrane Glycoproteins, Genotype, Sequence Homology, Amino Acid, Phospholipase C gamma, Gene Expression Profiling, Polymorphism, Single Nucleotide, Immunity, Innate, Linkage Disequilibrium, 3. Good health, Gene Frequency, Alzheimer Disease, Case-Control Studies, Odds Ratio, Humans, Exome, Genetic Predisposition to Disease, Amino Acid Sequence, Microglia, Protein Interaction Maps, Receptors, Immunologic, Adaptor Proteins, Signal Transducing
Abstract

We identified rare coding variants associated with Alzheimer's disease in a three-stage case-control study of 85,133 subjects. In stage 1, we genotyped 34,174 samples using a whole-exome microarray. In stage 2, we tested associated variants (P < 1 × 10-4) in 35,962 independent samples using de novo genotyping and imputed genotypes. In stage 3, we used an additional 14,997 samples to test the most significant stage 2 associations (P < 5 × 10-8) using imputed genotypes. We observed three new genome-wide significant nonsynonymous variants associated with Alzheimer's disease: a protective variant in PLCG2 (rs72824905: p.Pro522Arg, P = 5.38 × 10-10, odds ratio (OR) = 0.68, minor allele frequency (MAF)cases = 0.0059, MAFcontrols = 0.0093), a risk variant in ABI3 (rs616338: p.Ser209Phe, P = 4.56 × 10-10, OR = 1.43, MAFcases = 0.011, MAFcontrols = 0.008), and a new genome-wide significant variant in TREM2 (rs143332484: p.Arg62His, P = 1.55 × 10-14, OR = 1.67, MAFcases = 0.0143, MAFcontrols = 0.0089), a known susceptibility gene for Alzheimer's disease. These protein-altering changes are in genes highly expressed in microglia and highlight an immune-related protein-protein interaction network enriched for previously identified risk genes in Alzheimer's disease. These genetic findings provide additional evidence that the microglia-mediated innate immune response contributes directly to the development of Alzheimer's disease.

12. Genome-wide association study identifies 74 loci associated with educational attainment

Author

K. Petrovic, Massimo Mangino, Daniele Cusi, Ozren Polasek, Rodney J. Scott, Yong Qian, Aysu Okbay, Jari Lahti, Bjarni Gunnarsson, George McMahon, Elizabeth G. Holliday, Thomas Meitinger, Frank J. A. van Rooij, Mika Kähönen, Martin Kroh, Ian J. Deary, Neil Pendleton, Pamela A. F. Madden, David J. Porteous, Lambertus A. Kiemeney, Sven Oskarsson, Edith Hofer, Robert F. Krueger, Olga Rostapshova, Georg Homuth, Paolo Gasparini, Aldo Rustichini, Sarah E. Medland, Christian Gieger, Veronique Vitart, Nicholas J. Timpson, George Dedoussis, Joseph K. Pickrell, Christopher Oldmeadow, Aldi T. Kraja, Johan G. Eriksson, Lydia Quaye, William G. Iacono, Danielle Posthuma, George Davey Smith, Karl-Oskar Lindgren, David C. Liewald, Pim van der Harst, Börge Schmidt, Christine Power, Francesco P. Cappuccio, Francesco Cucca, Simona Vaccargiu, Joyce Y. Tung, Aarno Palotie, Natalia Pervjakova, Jonas Bacelis, Jouke-Jan Hottenga, Helena Schmidt, Kari Stefansson, Tamara B. Harris, Momoko Horikoshi, Lude Franke, Wolfgang Hoffmann, Ingrid B. Borecki, William E R Ollier, Johannes Waage, Andreas J. Forstner, Caroline Hayward, Penelope A. Lind, Patricia A. Boyle, Kadri Kaasik, Jian Yang, Gerardus A. Meddens, Antti Latvala, John Attia, Pascal Timshel, Vilmundur Gudnason, Maël Lebreton, Valur Emilsson, James F. Wilson, Jonathan Marten, Ute Bültmann, Erika Salvi, Olli T. Raitakari, Peter M. Visscher, Niek Verweij, Elisabeth Steinhagen-Thiessen, Cristina Venturini, Lili Milani, Tessel E. Galesloot, Kevin Thom, Klaus Berger, Paul Lichtenstein, Tian Liu, Philipp Koellinger, Riccardo E. Marioni, Marjo-Riitta Järvelin, Clemens Baumbach, Unnur Thorsteinsdottir, Magnus Johannesson, Susan M. Ring, David A. Bennett, Anu Loukola, Hans-Jörgen Grabe, Jan A. Staessen, Igor Rudan, Ginevra Biino, Nicholas G. Martin, Jingyun Yang, Anna A. E. Vinkhuyzen, Katri Räikkönen, Zhihong Zhu, Gudmar Thorleifsson, Mary F. Feitosa, Ivana Kolcic, Alexander Teumer, Jaakko Kaprio, David Schlessinger, Katharina E. Schraut, Konstantin Strauch, Ilja Demuth, Albert V. Smith, Juergen Wellmann, Jennifer E. Huffman, Panos Deloukas, Mario Pirastu, Reedik Mägi, Maria Pina Concas, Jaime Derringer, Patrick J. F. Groenen, Henry Völzke, Wei Zhao, Abdel Abdellaoui, Andres Metspalu, Nicholas A. Furlotte, Christopher P. Nelson, Barbara Franke, Steven F. Lehrer, Patrick Turley, Tõnu Esko, Jun Ding, Pedro Marques-Vidal, S. Fleur W. Meddens, Zoltán Kutalik, Gonneke Willemsen, Andrew C. Heath, Michelle N. Meyer, James J. Lee, Roy Thurik, Antonietta Robino, Henning Tiemeier, Grant W. Montgomery, C. deLeeuw, Astanand Jugessur, Antti-Pekka Sarin, Veikko Salomaa, Dalton Conley, Tim D. Spector, Sebastian E. Baumeister, Gyda Bjornsdottir, Lavinia Paternoster, Tune H. Pers, Jacob Gratten, Martin D. Tobin, Daniel J. Benjamin, Douglas F. Levinson, Stavroula Kanoni, Elina Hyppönen, David R. Weir, Peter J. van der Most, Terho Lehtimäki, David A. Hinds, Pablo V. Gejman, Uwe Völker, Cornelia M. van Duijn, Karl-Heinz Jöckel, Bjarni V. Halldorsson, Markus Perola, Nicola Pirastu, Klaus Bønnelykke, Robert Karlsson, David Cesarini, Michael A. Province, Jianxin Shi, Najaf Amin, Dale R. Nyholt, Lenore J. Launer, Nilesh J. Samani, Sven J. van der Lee, Dorret I. Boomsma, Harry Campbell, Peter Vollenweider, Liisa Keltigangas-Jarvinen, David Laibson, Ronald de Vlaming, Lynne J. Hocking, Christopher F. Chabris, Blair H. Smith, Gail Davies, Niina Eklund, Ioanna P. Kalafati, Bo Jacobsson, Sheila Ulivi, Alan F. Wright, Sarah E. Harris, Mark Alan Fontana, Diego Vozzi, Tomi Mäki-Opas, Albert Hofman, Hans Bisgaard, Andrew Bakshi, Marika Kaakinen, Johannes H. Brandsma, Christa Meisinger, Ilaria Gandin, Tarunveer S. Ahluwalia, Jennifer A. Smith, Beate St Pourcain, Rico Rueedi, Lewin Eisele, Michael B. Miller, Brenda W.J.H. Penninx, Alan R. Sanders, Thorkild I. A. Sørensen, André G. Uitterlinden, Cornelius A. Rietveld, Peter Lichtner, Dragana Vuckovic, Giorgia Girotto, Behrooz Z. Alizadeh, Reinhold Schmidt, Raymond A. Poot, Judith M. Vonk, Antony Payton, Wouter J. Peyrot, Augustine Kong, Y. Milaneschi, Jessica D. Faul, Patrik K. E. Magnusson, Antonio Terracciano, David M. Evans, Sharon L.R. Kardia, Peter K. Joshi, Michael A. Horan, Matt McGue, Richa Gupta, Jonathan P. Beauchamp, Peter Eibich, Erin B. Ware, Lars Bertram, Philip L. De Jager, Nancy L. Pedersen, Ronny Myhre, Guo-Bo Chen, Harm-Jan Westra, Jan-Emmanuel De Neve, Evelin Mihailov, Leanne M. Hall, Seppo Koskinen, Rush University Medical Center [Chicago], Department of Epidemiology [Rotterdam], Erasmus University Medical Center [Rotterdam] (Erasmus MC), Helmholtz-Zentrum München (HZM), University of Queensland [Brisbane], Erasmus University Rotterdam, Universidad de Navarra [Pamplona] (UNAV), National Institute for Health and Welfare [Helsinki], Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Consiglio Nazionale delle Ricerche (CNR), Montpellier Research in Management (MRM), Université Paul-Valéry - Montpellier 3 (UPVM)-Université de Perpignan Via Domitia (UPVD)-Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School-Université de Montpellier (UM), University of Bristol [Bristol], Queensland Institute of Medical Research, Massachusetts General Hospital [Boston], Medical University Graz, Institut des Sciences Moléculaires (ISM), Université Montesquieu - Bordeaux 4-Université Sciences et Technologies - Bordeaux 1-École Nationale Supérieure de Chimie et de Physique de Bordeaux (ENSCPB)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), King‘s College London, Tampere University Hospital, University of Turku, AP-HP Hôpital universitaire Robert-Debré [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), University of Edinburgh, Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Imperial College London, Reykjavík University, Donders Institute for Brain, Cognition and Behaviour, Radboud university [Nijmegen], Karolinska Institutet [Stockholm], Department of Health Sciences [Leicester], University of Leicester, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Department of Medical Epidemiology and Biostatistics (MEB), Dpt of Pharmacology and Personalised Medicine [Maastricht], Maastricht University [Maastricht], Florida State University [Tallahassee] (FSU), IT University of Copenhagen, University of Helsinki-University of Helsinki, Université Montpellier 1 (UM1)-Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School-Université Paul-Valéry - Montpellier 3 (UPVM)-Université de Montpellier (UM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Perpignan Via Domitia (UPVD), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure de Chimie et de Physique de Bordeaux (ENSCPB)-Université Sciences et Technologies - Bordeaux 1-Université Montesquieu - Bordeaux 4-Institut de Chimie du CNRS (INC), Faculteit Economie en Bedrijfskunde, Microeconomics (ASE, FEB), LifeLines Cohort Study, Alizadeh, BZ., de Boer, RA., Boezen, HM., Bruinenberg, M., Franke, L., van der Harst, P., Hillege, HL., van der Klauw, MM., Navis, G., Ormel, J., Postma, DS., Rosmalen, JG., Slaets, JP., Snieder, H., Stolk, RP., Wolffenbuttel, BH., Wijmenga, C., Applied Economics, Cell biology, Epidemiology, Erasmus MC other, Econometrics, Child and Adolescent Psychiatry / Psychology, Psychiatry, Internal Medicine, EMGO+ - Mental Health, Complex Trait Genetics, Biological Psychology, Functional Genomics, Economics, Amsterdam Neuroscience - Complex Trait Genetics, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Public Health Research (PHR), Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Stem Cell Aging Leukemia and Lymphoma (SALL), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Okbay, Aysu, Beauchamp, Jonathan P., Fontana, Mark Alan, Lee, James J., Pers, Tune H., Rietveld, Cornelius A., Turley, Patrick, Chen, Guo Bo, Emilsson, Valur, Meddens, S. Fleur W., Oskarsson, Sven, Pickrell, Joseph K., Thom, Kevin, Timshel, Pascal, De Vlaming, Ronald, Abdellaoui, Abdel, Ahluwalia, Tarunveer S., Bacelis, Jona, Baumbach, Clemen, Bjornsdottir, Gyda, Brandsma, Johannes H., Concas, MARIA PINA, Derringer, Jaime, Furlotte, Nicholas A., Galesloot, Tessel E., Girotto, Giorgia, Gupta, Richa, Hall, Leanne M., Harris, Sarah E., Hofer, Edith, Horikoshi, Momoko, Huffman, Jennifer E., Kaasik, Kadri, Kalafati, Ioanna P., Karlsson, Robert, Kong, Augustine, Lahti, Jari, Van Der Lee, Sven J., Deleeuw, Christiaan, Lind, Penelope A., Lindgren, Karl Oskar, Liu, Tian, Mangino, Massimo, Marten, Jonathan, Mihailov, Evelin, Miller, Michael B., Van Der Most, Peter J., Oldmeadow, Christopher, Payton, Antony, Pervjakova, Natalia, Peyrot, Wouter J., Qian, Yong, Raitakari, Olli, Rueedi, Rico, Salvi, Erika, Schmidt, Börge, Schraut, Katharina E., Shi, Jianxin, Smith, Albert V., Poot, Raymond A., St Pourcain, Beate, Teumer, Alexander, Thorleifsson, Gudmar, Verweij, Niek, Vuckovic, Dragana, Wellmann, Juergen, Westra, Harm Jan, Yang, Jingyun, Zhao, Wei, Zhu, Zhihong, Alizadeh, Behrooz Z., Amin, Najaf, Bakshi, Andrew, Baumeister, Sebastian E., Biino, Ginevra, Bønnelykke, Klau, Boyle, Patricia A., Campbell, Harry, Cappuccio, Francesco P., Davies, Gail, De Neve, Jan Emmanuel, Deloukas, Pano, Demuth, Ilja, Ding, Jun, Eibich, Peter, Eisele, Lewin, Eklund, Niina, Evans, David M., Faul, Jessica D., Feitosa, Mary F., Forstner, Andreas J., Gandin, Ilaria, Gunnarsson, Bjarni, Halldórsson, Bjarni V., Harris, Tamara B., Holliday, Elizabeth G., Heath, Andrew C., Hocking, Lynne J., Homuth, Georg, Horan, Michael A., Hottenga, Jouke Jan, De Jager, Philip L., Joshi, Peter K., Jugessur, Astanand, Kaakinen, Marika A., Kähönen, Mika, Kanoni, Stavroula, Keltigangas Järvinen, Liisa, Kiemeney, Lambertus A. L. M., Kolcic, Ivana, Koskinen, Seppo, Kraja, Aldi T., Kroh, Martin, Kutalik, Zoltan, Latvala, Antti, Launer, Lenore J., Lebreton, Maël P., Levinson, Douglas F., Lichtenstein, Paul, Lichtner, Peter, Liewald, David C. M., Loukola, Anu, Madden, Pamela A., Mägi, Reedik, Mäki Opas, Tomi, Marioni, Riccardo E., Marques Vidal, Pedro, Meddens, Gerardus A., Mcmahon, George, Meisinger, Christa, Meitinger, Thoma, Milaneschi, Yusplitri, Milani, Lili, Montgomery, Grant W., Myhre, Ronny, Nelson, Christopher P., Nyholt, Dale R., Ollier, William E. R., Palotie, Aarno, Paternoster, Lavinia, Pedersen, Nancy L., Petrovic, Katja E., Porteous, David J., Raïkkönen, Katri, Ring, Susan M., Robino, Antonietta, Rostapshova, Olga, Rudan, Igor, Rustichini, Aldo, Salomaa, Veikko, Sanders, Alan R., Sarin, Antti Pekka, Schmidt, Helena, Scott, Rodney J., Smith, Blair H., Smith, Jennifer A., Staessen, Jan A., Steinhagen Thiessen, Elisabeth, Strauch, Konstantin, Terracciano, Antonio, Tobin, Martin D., Ulivi, Sheila, Vaccargiu, Simona, Quaye, Lydia, Van Rooij, Frank J. A., Venturini, Cristina, Vinkhuyzen, Anna A. E., Völker, Uwe, Völzke, Henry, Vonk, Judith M., Vozzi, Diego, Waage, Johanne, Ware, Erin B., Willemsen, Gonneke, Attia, John R., Bennett, David A., Berger, Klau, Bertram, Lar, Bisgaard, Han, Boomsma, Dorret I., Borecki, Ingrid B., Bültmann, Ute, Chabris, Christopher F., Cucca, Francesco, Cusi, Daniele, Deary, Ian J., Dedoussis, George V., Van Duijn, Cornelia M., Eriksson, Johan G., Franke, Barbara, Franke, Lude, Gasparini, Paolo, Gejman, Pablo V., Gieger, Christian, Grabe, Hans Jörgen, Gratten, Jacob, Groenen, Patrick J. F., Gudnason, Vilmundur, Van Der Harst, Pim, Hayward, Caroline, Hinds, David A., Hoffmann, Wolfgang, Hyppönen, Elina, Iacono, William G., Jacobsson, Bo, Järvelin, Marjo Riitta, Jöckel, Karl Heinz, Kaprio, Jaakko, Kardia, Sharon L. R., Lehtimäki, Terho, Lehrer, Steven F., Magnusson, Patrik K. E., Martin, Nicholas G., Mcgue, Matt, Metspalu, Andre, Pendleton, Neil, Penninx, Brenda W. J. H., Perola, Marku, Pirastu, Nicola, Pirastu, Mario, Polasek, Ozren, Posthuma, Danielle, Power, Christine, Province, Michael A., Samani, Nilesh J., Schlessinger, David, Schmidt, Reinhold, Sørensen, Thorkild I. A., Spector, Tim D., Stefansson, Kari, Thorsteinsdottir, Unnur, Thurik, A. Roy, Timpson, Nicholas J., Tiemeier, Henning, Tung, Joyce Y., Uitterlinden, André G., Vitart, Veronique, Vollenweider, Peter, Weir, David R., Wilson, James F., Wright, Alan F., Conley, Dalton C., Krueger, Robert F., Davey Smith, George, Hofman, Albert, Laibson, David I., Medland, Sarah E., Meyer, Michelle N., Yang, Jian, Johannesson, Magnu, Visscher, Peter M., Esko, Toñu, Koellinger, Philipp D., Cesarini, David, Benjamin, Daniel J., EMGO - Mental health, IOO, Human genetics, Beauchamp, Jonathan P, Lee, James JJ, Hypponen, Elina, and Benjamin, Daniel J

Subjects
0301 basic medicine, Netherlands Twin Register (NTR), Candidate gene, Bipolar Disorder, Medizin, Genome-wide association study, Genome-wide association studies, 0302 clinical medicine, Cognition, Alzheimer Disease, Brain, Computational Biology, Fetus, Gene Expression Regulation, Gene-Environment Interaction, Great Britain, Humans, Molecular Sequence Annotation, Polymorphism, Single Nucleotide, Schizophrenia, Educational Status, Genome-Wide Association Study, Medicine (all), Multidisciplinary, Fetu, tau, Gene–environment interaction, Soziales und Gesundheit, Genetics, [QFIN]Quantitative Finance [q-fin], HERITABILITY, General Commentary, Alzheimer's disease, Biobank, Phenotype, Multidisciplinary Sciences, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], educational attainment, Behavioural genetics, Science & Technology - Other Topics, Bildungsniveau, TRAITS, Human, General Science & Technology, Kultursektor, SNP, ta3111, Polymorphism, Single Nucleotide, Learning and memory, Alzheimer Disease/genetics, Bipolar Disorder/genetics, Brain/metabolism, Fetus/metabolism, Gene Expression Regulation/genetics, Polymorphism, Single Nucleotide/genetics, Schizophrenia/genetics, 03 medical and health sciences, ACHIEVEMENT, MD Multidisciplinary, Non-Profit-Sektor, QH426, Science & Technology, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], tauopathies, Data Science, gene, education, school, Heritability, Educational Statu, Educational attainment, United Kingdom, 030104 developmental biology, IQ, Genetische Forschung, Psychiatric disorders, Bildung, 030217 neurology & neurosurgery, LifeLines Cohort Study, Neuroscience
Abstract

Contains fulltext : 167137.pdf (Publisher’s version ) (Closed access) 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.

Published
2016
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