Valur Emilsson

ORCID: 0000-0001-9982-0524
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About
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Research Areas
  • Genetic Associations and Epidemiology
  • Bioinformatics and Genomic Networks
  • Alzheimer's disease research and treatments
  • Adipose Tissue and Metabolism
  • Regulation of Appetite and Obesity
  • Advanced Proteomics Techniques and Applications
  • Biochemical Analysis and Sensing Techniques
  • Pancreatic function and diabetes
  • Genetics and Neurodevelopmental Disorders
  • Nutrition, Genetics, and Disease
  • Epigenetics and DNA Methylation
  • Lipoproteins and Cardiovascular Health
  • RNA modifications and cancer
  • RNA and protein synthesis mechanisms
  • SARS-CoV-2 and COVID-19 Research
  • Metabolomics and Mass Spectrometry Studies
  • COVID-19 Clinical Research Studies
  • Genetic Mapping and Diversity in Plants and Animals
  • Genomics and Phylogenetic Studies
  • Liver Disease Diagnosis and Treatment
  • Birth, Development, and Health
  • Metabolism, Diabetes, and Cancer
  • Mitochondrial Function and Pathology
  • Adipokines, Inflammation, and Metabolic Diseases
  • Atherosclerosis and Cardiovascular Diseases

Icelandic Heart Association
2016-2025

University of Iceland
2015-2024

Boston University
2018

Erasmus MC
2018

Framingham Heart Study
2018

Institute for Neurodegenerative Disorders
2018

The University of Texas Health Science Center at San Antonio
2018

University of Split
2016

University of Groningen
2015

Merck & Co., Inc., Rahway, NJ, USA (United States)
2009-2012

Aysu Okbay Jonathan Beauchamp Mark Alan Fontana James J. Lee Tune H. Pers and 95 more Cornelius A. Rietveld Patrick Turley Guo‐Bo Chen Valur Emilsson S. Fleur W. Meddens Sven Oskarsson Joseph K. Pickrell Kevin Thom Pascal Timshel Ronald de Vlaming Abdel Abdellaoui Tarunveer S. Ahluwalia Jonas Bacelis Clemens Baumbach Gyða Björnsdóttir J Brandsma Maria Pina Concas Jaime Derringer Nicholas A. Furlotte Tessel E. Galesloot Giorgia Girotto Richa Gupta Leanne M. Hall Sarah E. Harris Edith Hofer Momoko Horikoshi Jennifer E. Huffman Kadri Kaasik Ioanna Panagiota Kalafati Robert Karlsson Augustine Kong Jari Lahti Sven J. van der Lee C. deLeeuw Penelope A. Lind Karl‐Oskar Lindgren Tian Liu Massimo Mangino Jonathan Marten Evelin Mihailov Michael B. Miller Peter J. van der Most Christopher Oldmeadow Antony Payton Natalia Pervjakova Wouter J. Peyrot Yong Qian Olli Raitakari Rico Rueedi Erika Salvi Börge Schmidt Katharina E. Schraut Jianxin Shi Albert V. Smith Raymond A. Poot Beaté St Pourcain Alexander Teumer Gudmar Thorleifsson Niek Verweij Dragana Vuckovic Juergen Wellmann Harm-Jan Westra Jingyun Yang Wei Zhao Zhihong Zhu Behrooz Z. Alizadeh Najaf Amin Andrew Bakshi Sebastian E. Baumeister Ginevra Biino Klaus Bønnelykke Patricia A. Boyle Harry Campbell Francesco P. Cappuccio Gail Davies Jan-Emmanuel De Neve Panos Deloukas Ilja Demuth Jun Ding Peter Eibich Lewin Eisele Niina Eklund David M. Evans Jessica D. Faul Mary F. Feitosa Andreas J. Forstner Ilaria Gandin Bjarni Gunnarsson Bjarni V. Halldórsson Tamara B. Harris Andrew C. Heath Lynne J. Hocking Elizabeth G. Holliday Georg Homuth Michael A. Horan

10.1038/nature17671 article EN Nature 2016-05-10

The blood proteome in disease Understanding the function of human serum proteins has been limited by difficulties monitoring their production, accumulation, and distribution. Emilsson et al. investigated more than 5000 Icelanders over age 65. composition includes a complex regulatory network that are globally coordinated across most or all tissues. authors identified modules functional groups associated with health outcomes were able to link genetic variants diseases. Science , this issue p. 769

10.1126/science.aaq1327 article EN Science 2018-08-02

Leptin, encoded for by the mouse ob gene, regulates feeding behavior and energy metabolism. Its receptor (Ob-R) is diabetic (db) gene mutated in db/db so that it lacks cytoplasmic domain. We show full-length leptin (Ob-Rb), which believed to transmit signal, expressed pancreatic islets of ob/ob wild-type mice, as well hypothalamus, liver, kidney, spleen, heart. Recombinant inhibited basal insulin release perfused pancreas preparation from mice but not Zucker fa/fa rats. Leptin (1–100 nmol/l)...

10.2337/diab.46.2.313 article EN Diabetes 1997-02-01
Aysu Okbay Yeda Wu Nancy Wang Hariharan Jayashankar Michael Bennett and 95 more Seyed Moeen Nehzati Julia Sidorenko Hyeokmoon Kweon Grant Goldman Tamara Gjorgjieva Yunxuan Jiang Barry Hicks Chao Tian David A. Hinds Rafael Ahlskog Patrik K. E. Magnusson Sven Oskarsson Caroline Hayward Archie Campbell David J. Porteous Jeremy Freese Pamela Herd Michelle Agee Babak Alipanahi Adam Auton Robert K. Bell Katarzyna Bryc Sarah L. Elson Pierre Fontanillas Nicholas A. Furlotte David A. Hinds Karen E. Huber Aaron Kleinman Nadia K. Litterman Jennifer C. McCreight Matthew H. McIntyre Joanna L. Mountain Carrie A. M. Northover Steven J. Pitts J. Fah Sathirapongsasuti Olga V. Sazonova Janie F. Shelton Suyash Shringarpure Joyce Y. Tung Vladimir Vacic Catherine H. Wilson Mark Alan Fontana Tune H. Pers Cornelius A. Rietveld Guo‐Bo Chen Valur Emilsson S. Fleur W. Meddens Joseph K. Pickrell Kevin Thom Pascal Timshel Ronald de Vlaming Abdel Abdellaoui Tarunveer S. Ahluwalia Jonas Bacelis Clemens Baumbach Gyða Björnsdóttir J Brandsma Maria Pina Concas Jaime Derringer Tessel E. Galesloot Giorgia Girotto Richa Gupta Leanne M. Hall Sarah E. Harris Edith Hofer Momoko Horikoshi Jennifer E. Huffman Kadri Kaasik Ioanna Panagiota Kalafati Robert Karlsson Jari Lahti Sven J. van der Lee Christiaan de Leeuw Penelope A. Lind Karl‐Oskar Lindgren Tian Liu Massimo Mangino Jonathan Marten Evelin Mihailov Michael Miller Peter J. van der Most Christopher Oldmeadow Antony Payton Natalia Pervjakova Wouter J. Peyrot Yong Qian Olli T. Raitakari Rico Rueedi Erika Salvi Börge Schmidt Katharina E. Schraut Jianxin Shi Albert V. Smith Raymond A. Poot Beaté St Pourcain

Abstract We conduct a genome-wide association study (GWAS) of educational attainment (EA) in sample ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A polygenic predictor, or index (PGI), explains 12–16% EA variance contributes to risk prediction for ten diseases. Direct effects (i.e., controlling parental PGIs) explain roughly half the PGI’s magnitude with other phenotypes. The correlation between mate-pair...

10.1038/s41588-022-01016-z article EN cc-by Nature Genetics 2022-03-31
Gyungah Jun Carla A. Ibrahim‐Verbaas Maria Vronskaya Jean‐Charles Lambert Jaeyoon Chung and 95 more Adam C. Naj Brian W. Kunkle Li‐Shun Wang Joshua C. Bis Céline Bellenguez Denise Harold Kathryn L. Lunetta Anita L. DeStefano Benjamin Grenier‐Boley Rebecca Sims Gary W. Beecham Albert V. Smith Vincent Chouraki Kara L. Hamilton‐Nelson M. Arfan Ikram Nathalie Fiévet Nicola Denning Eden R. Martin Helena Schmidt Yoichiro Kamatani Melanie Dunstan Otto Valladares Agustín Ruiz Laza Diana Zélénika Alfredo Ramı́rez Tatiana Foroud Sung‐Hyuk Choi Anne Boland Tim Becker Walter A. Kukull Sven J. van der Lee Florence Pasquier Carlos Cruchaga Duane Beekly Annette L. Fitzpatrick Olivier Hanon Michael Gill Robert C. Barber Vilmundur Guðnason Dominique Campion Seth Love David A. Bennett Najaf Amin Claudine Berr Magda Tsolaki Joseph D. Buxbaum Oscar L. López Vincent Deramecourt Nick C. Fox Laura B. Cantwell Lluís Tárraga Carole Dufouil John Hardy Paul K. Crane Gudny Eiriksdottir Didier Hannequin Robert Clarke Denis A. Evans Thomas H. Mosley Luc Letenneur Carol Brayne Wolfgang Maier Philip L. De Jager Valur Emilsson Dartigues Jf Harald Hampel M. Ilyas Kamboh Renée F.A.G. de Bruijn Christophe Tzourio Pau Pástor Eric B. Larson Jerome I. Rotter Michael O’Donovan Thomas J. Montine Michael A. Nalls Simon Mead Eric M. Reiman Pálmi V. Jónsson Clive Holmes Peter St George‐Hyslop Merçé Boada Peter Passmore Jens R. Wendland R. Schmidt Kevin Morgan Ashley R. Winslow John Powell M Carasquillo Steven G. Younkin Jóhanna Jakobsdóttir John Kauwe Kirk C. Wilhelmsen Dan Rujescu Markus M. Nöthen Albert Hofman

10.1038/mp.2015.23 article EN Molecular Psychiatry 2015-03-17
Lesley Jones Jean‐Charles Lambert Weixin Wang Seung‐Hoan Choi Denise Harold and 95 more Alexey Vedernikov Valentina Escott‐Price Timothy Stone Alexander Richards Céline Bellenguez Carla A. Ibrahim‐Verbaas Adam C. Naj Rebecca Sims Amy Gerrish Gyungah Jun Anita L. DeStefano Joshua C. Bis Gary W. Beecham Benjamin Grenier‐Boley Giancarlo Russo Tricia A. Thornton‐Wells Nicola Jones Albert V. Smith Vincent Chouraki Charlene Thomas M. Arfan Ikram Diana Zélénika Badri N. Vardarajan Yoichiro Kamatani Chiao‐Feng Lin Helena Schmidt Brian W. Kunkle Melanie Dunstan Agustı́n Ruiz Marie‐Thérèse Bihoreau Christiane Reitz Florence Pasquier Paul Hollingworth Olivier Hanon Annette L. Fitzpatrick Joseph D. Buxbaum Dominique Campion Paul K. Crane Tim Becker Vilmundur Guðnason Carlos Cruchaga David W. Craig Najaf Amin Claudine Berr Oscar L. López Philip L. De Jager Vincent Deramecourt Janet Johnston Denis A. Evans Simon Lovestone Luc Letteneur Johanes Kornhuber Lluís Tárraga David C. Rubinsztein Gudny Eiriksdottir Kristel Sleegers Alison Goate Nathalie Fiévet Matthew J. Huentelman Michael Gill Valur Emilsson Kristelle Brown M. Ilyas Kamboh Lina Keller Pascale Barberger‐Gateau Bernadette McGuinness Eric B. Larson Amanda Myers Carole Dufouil Stephen Todd David Wallon Seth Love Patrick G. Kehoe Ekaterina Rogaeva John Gallacher Peter St George‐Hyslop Jordi Clarimón Alberti Lleὀ Antony Bayer Debby W. Tsuang Lei Yu Magda Tsolaki Paola Bossù Gianfranco Spalletta Petroula Proitsi John Collinge Sandro Sorbi Florentino Sanchez‐García Nick C. Fox John Hardy María Cándida Déniz Naranjo Cristina Razquín Paola Bosco Robert Clarke Carol Brayne

Abstract Background Late‐onset Alzheimer's disease (AD) is heritable with 20 genes showing genome‐wide association in the International Genomics of Project (IGAP). To identify biology underlying disease, we extended these genetic data a pathway analysis. Methods The ALIGATOR and GSEA algorithms were used IGAP to associated functional pathways correlated gene expression networks human brain. Results identified an excess curated biological enrichment association. Enriched areas included immune...

10.1016/j.jalz.2014.05.1757 article EN Alzheimer s & Dementia 2014-12-19

Abstract With the growing number of genetic association studies, genotype-phenotype atlas has become increasingly more complex, yet functional consequences most disease associated alleles is not understood. The measurement protein level variation in solid tissues and biofluids integrated with variants offers a path to deeper insights. Here we present large-scale proteogenomic study 5,368 individuals, revealing 4,035 independent associations between 2,091 serum proteins, which 36% are...

10.1038/s41467-021-27850-z article EN cc-by Nature Communications 2022-01-25

Alzheimer’s disease (AD) is currently defined by the aggregation of amyloid-β (Aβ) and tau proteins in brain. Although biofluid biomarkers are available to measure Aβ pathology, few markers complex pathophysiology that associated with these two cardinal neuropathologies. Here, we characterized proteomic landscape cerebrospinal fluid (CSF) changes pathology 300 individuals using different technologies—tandem mass tag spectrometry SomaScan. Integration both data types allowed for generation a...

10.1126/scitranslmed.adn3504 article EN Science Translational Medicine 2024-06-26

The adipocyte hormone leptin activates signal transducer and activator of transcription 3 (STAT3) in the hypothalamus, mediating increased satiety energy expenditure. To date, leptin-mediated activation STAT pathway vivo has not been established tissues other than hypothalamus. We now describe receptor expression signaling discrete regions mouse gastrointestinal tract. Expression functional isoform (OB-Rb) is restricted to jejunum readily detected by RT-PCR isolated enterocytes from this...

10.1074/jbc.273.40.26194 article EN cc-by Journal of Biological Chemistry 1998-10-01
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