scispace - formally typeset
Search or ask a question
Institution

University of Southern Denmark

EducationOdense, Syddanmark, Denmark
About: University of Southern Denmark is a education organization based out in Odense, Syddanmark, Denmark. It is known for research contribution in the topics: Population & Randomized controlled trial. The organization has 11928 authors who have published 37918 publications receiving 1258559 citations. The organization is also known as: SDU.


Papers
More filters
Journal ArticleDOI
TL;DR: Six previously unknown loci associated with fasting insulin at P < 5 × 10−8 in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals are presented.
Abstract: Recent genome-wide association studies have described many loci implicated in type 2 diabetes (T2D) pathophysiology and β-cell dysfunction but have contributed little to the understanding of the genetic basis of insulin resistance. We hypothesized that genes implicated in insulin resistance pathways might be uncovered by accounting for differences in body mass index (BMI) and potential interactions between BMI and genetic variants. We applied a joint meta-analysis approach to test associations with fasting insulin and glucose on a genome-wide scale. We present six previously unknown loci associated with fasting insulin at P < 5 × 10(-8) in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals. Risk variants were associated with higher triglyceride and lower high-density lipoprotein (HDL) cholesterol levels, suggesting a role for these loci in insulin resistance pathways. The discovery of these loci will aid further characterization of the role of insulin resistance in T2D pathophysiology.

811 citations

Journal ArticleDOI
TL;DR: Of more than 700 identified phosphopeptides, 139 were differentially regulated at least 2-fold in response to mating pheromone and among these regulated proteins were components belonging to the mitogen-activated protein kinase signaling pathway and to downstream processes including transcriptional regulation, the establishment of polarized growth, and the regulation of the cell cycle.

808 citations

Journal ArticleDOI
TL;DR: The recent observation that exosomes contain both mRNA and microRNA, which can be transferred to another cell, and be functional in that new environment, is an exciting new development in the unraveling exosome saga.
Abstract: Exosomes are 40-100 nm membrane vesicles of endocytic origin secreted by most cell types in vitro. Recent studies have shown that exosomes are also found in vivo in body fluids such as blood, urine, amniotic fluid, malignant ascites, bronchoalveolar lavage fluid, synovial fluid, and breast milk. While the biological function of exosomes is still unclear, they can mediate communication between cells, facilitating processes such as antigen presentation and in trans signaling to neighboring cells. Exosome-like vesicles identified in Drosophila (referred to as argosomes) may be potential vehicles for the spread of morphogens in epithelia. The advent of current MS-based proteomic technologies has contributed significantly to our understanding of the molecular composition of exosomes. In addition to a common set of membrane and cytosolic proteins, it is becoming increasingly apparent that exosomes harbor distinct subsets of proteins that may be linked to cell-type associated functions. The secretion of exosomes by tumor cells and their implication in the transport and propagation of infectious cargo such as prions and retroviruses such as HIV suggest their participation in pathological situations. Interestingly, the recent observation that exosomes contain both mRNA and microRNA, which can be transferred to another cell, and be functional in that new environment, is an exciting new development in the unraveling exosome saga. The present review aims to summarize the physical properties that define exosomes as specific cell-type secreted membrane vesicles.

806 citations

Journal ArticleDOI
T. Aoyama1, Nils Asmussen2, M. Benayoun3, Johan Bijnens4  +146 moreInstitutions (64)
TL;DR: The current status of the Standard Model calculation of the anomalous magnetic moment of the muon is reviewed in this paper, where the authors present a detailed account of recent efforts to improve the calculation of these two contributions with either a data-driven, dispersive approach, or a first-principle, lattice approach.

801 citations

Journal ArticleDOI
Jeanne E. Savage1, Philip R. Jansen1, Philip R. Jansen2, Sven Stringer1, Kyoko Watanabe1, Julien Bryois3, Christiaan de Leeuw1, Mats Nagel, Swapnil Awasthi4, Peter B. Barr5, Jonathan R. I. Coleman6, Katrina L. Grasby7, Anke R. Hammerschlag1, Jakob Kaminski4, Robert Karlsson3, Eva Krapohl8, Max Lam, Marianne Nygaard9, Chandra A. Reynolds10, Joey W. Trampush11, Hannah Young12, Delilah Zabaneh8, Sara Hägg3, Narelle K. Hansell13, Ida K. Karlsson3, Sten Linnarsson3, Grant W. Montgomery13, Grant W. Montgomery7, Ana B. Muñoz-Manchado3, Erin Burke Quinlan8, Gunter Schumann8, Nathan G. Skene3, Nathan G. Skene14, Bradley T. Webb5, Tonya White2, Dan E. Arking15, Dimitrios Avramopoulos15, Robert M. Bilder16, Panos Bitsios17, Katherine E. Burdick18, Katherine E. Burdick19, Katherine E. Burdick20, Tyrone D. Cannon21, Ornit Chiba-Falek, Andrea Christoforou22, Elizabeth T. Cirulli, Eliza Congdon16, Aiden Corvin23, Gail Davies24, Ian J. Deary24, Pamela DeRosse25, Pamela DeRosse26, Dwight Dickinson27, Srdjan Djurovic28, Srdjan Djurovic29, Gary Donohoe30, Emily Drabant Conley, Johan G. Eriksson31, Thomas Espeseth32, Nelson A. Freimer16, Stella G. Giakoumaki17, Ina Giegling33, Michael Gill23, David C. Glahn21, Ahmad R. Hariri34, Alex Hatzimanolis35, Alex Hatzimanolis36, Matthew C. Keller37, Emma Knowles21, Deborah C. Koltai34, Bettina Konte33, Jari Lahti31, Stephanie Le Hellard29, Todd Lencz26, Todd Lencz25, David C. Liewald24, Edythe D. London16, Astri J. Lundervold29, Anil K. Malhotra25, Anil K. Malhotra26, Ingrid Melle32, Ingrid Melle29, Derek W. Morris30, Anna C. Need38, William Ollier39, Aarno Palotie31, Aarno Palotie40, Aarno Palotie20, Antony Payton39, Neil Pendleton41, Russell A. Poldrack42, Katri Räikkönen31, Ivar Reinvang32, Panos Roussos19, Panos Roussos18, Dan Rujescu33, Fred W. Sabb43, Matthew A. Scult34, Olav B. Smeland32, Nikolaos Smyrnis35, Nikolaos Smyrnis36, John M. Starr24, Vidar M. Steen29, Nikos C. Stefanis35, Nikos C. Stefanis36, Richard E. Straub15, Kjetil Sundet32, Henning Tiemeier2, Aristotle N. Voineskos44, Daniel R. Weinberger15, Elisabeth Widen31, Jin Yu, Gonçalo R. Abecasis45, Ole A. Andreassen32, Gerome Breen6, Lene Christiansen9, Birgit Debrabant9, Danielle M. Dick5, Andreas Heinz4, Jens Hjerling-Leffler3, M. Arfan Ikram46, Kenneth S. Kendler5, Nicholas G. Martin7, Sarah E. Medland7, Nancy L. Pedersen3, Robert Plomin8, Tinca J. C. Polderman1, Stephan Ripke4, Stephan Ripke47, Stephan Ripke20, Sophie van der Sluis, Patrick Sullivan3, Patrick Sullivan48, Scott I. Vrieze12, Margaret J. Wright13, Danielle Posthuma1 
TL;DR: A large-scale genetic association study of intelligence identifies 190 new loci and implicates 939 new genes related to neurogenesis, neuron differentiation and synaptic structure, a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders.
Abstract: Intelligence is highly heritable1 and a major determinant of human health and well-being2. Recent genome-wide meta-analyses have identified 24 genomic loci linked to variation in intelligence3-7, but much about its genetic underpinnings remains to be discovered. Here, we present a large-scale genetic association study of intelligence (n = 269,867), identifying 205 associated genomic loci (190 new) and 1,016 genes (939 new) via positional mapping, expression quantitative trait locus (eQTL) mapping, chromatin interaction mapping, and gene-based association analysis. We find enrichment of genetic effects in conserved and coding regions and associations with 146 nonsynonymous exonic variants. Associated genes are strongly expressed in the brain, specifically in striatal medium spiny neurons and hippocampal pyramidal neurons. Gene set analyses implicate pathways related to nervous system development and synaptic structure. We confirm previous strong genetic correlations with multiple health-related outcomes, and Mendelian randomization analysis results suggest protective effects of intelligence for Alzheimer's disease and ADHD and bidirectional causation with pleiotropic effects for schizophrenia. These results are a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders.

800 citations


Authors

Showing all 12150 results

NameH-indexPapersCitations
Paul M. Ridker2331242245097
George Davey Smith2242540248373
Matthias Mann221887230213
Eric Boerwinkle1831321170971
Gang Chen1673372149819
Jun Wang1661093141621
Harvey F. Lodish165782101124
Jens J. Holst1601536107858
Rajesh Kumar1494439140830
J. Fraser Stoddart147123996083
Debbie A Lawlor1471114101123
Børge G. Nordestgaard147104795530
Oluf Pedersen135939106974
Rasmus Nielsen13555684898
Torben Jørgensen13588386822
Network Information
Related Institutions (5)
University of Copenhagen
149.7K papers, 5.9M citations

96% related

Lund University
124.6K papers, 5M citations

96% related

Utrecht University
139.3K papers, 6.2M citations

93% related

University of British Columbia
209.6K papers, 9.2M citations

93% related

University of Amsterdam
140.8K papers, 5.9M citations

93% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202382
2022410
20214,043
20203,614
20192,967
20182,603