Institution
University of Southern Denmark
Education•Odense, 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 published on a yearly basis
Papers
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Alisa K. Manning1, Alisa K. Manning2, Alisa K. Manning3, Robert A. Scott +240 more•Institutions (69)
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
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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
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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
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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
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VU University Amsterdam1, Erasmus University Rotterdam2, Karolinska Institutet3, Charité4, Virginia Commonwealth University5, South London and Maudsley NHS Foundation Trust6, QIMR Berghofer Medical Research Institute7, King's College London8, University of Southern Denmark9, University of California, Riverside10, University of Southern California11, University of Minnesota12, University of Queensland13, University College London14, Johns Hopkins University15, University of California, Los Angeles16, University of Crete17, Veterans Health Administration18, Icahn School of Medicine at Mount Sinai19, Harvard University20, Yale University21, Haukeland University Hospital22, Trinity College, Dublin23, University of Edinburgh24, North Shore-LIJ Health System25, Hofstra University26, National Institutes of Health27, Oslo University Hospital28, University of Bergen29, National University of Ireland, Galway30, University of Helsinki31, University of Oslo32, Martin Luther University of Halle-Wittenberg33, Duke University34, Mental Health Research Institute35, National and Kapodistrian University of Athens36, University of Colorado Boulder37, Imperial College London38, University of Manchester39, Wellcome Trust40, Manchester Academic Health Science Centre41, Stanford University42, University of Oregon43, University of Toronto44, University of Michigan45, Erasmus University Medical Center46, Broad Institute47, University of North Carolina at Chapel Hill48
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
Name | H-index | Papers | Citations |
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Paul M. Ridker | 233 | 1242 | 245097 |
George Davey Smith | 224 | 2540 | 248373 |
Matthias Mann | 221 | 887 | 230213 |
Eric Boerwinkle | 183 | 1321 | 170971 |
Gang Chen | 167 | 3372 | 149819 |
Jun Wang | 166 | 1093 | 141621 |
Harvey F. Lodish | 165 | 782 | 101124 |
Jens J. Holst | 160 | 1536 | 107858 |
Rajesh Kumar | 149 | 4439 | 140830 |
J. Fraser Stoddart | 147 | 1239 | 96083 |
Debbie A Lawlor | 147 | 1114 | 101123 |
Børge G. Nordestgaard | 147 | 1047 | 95530 |
Oluf Pedersen | 135 | 939 | 106974 |
Rasmus Nielsen | 135 | 556 | 84898 |
Torben Jørgensen | 135 | 883 | 86822 |