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Institution

Radboud University Nijmegen

EducationNijmegen, Gelderland, Netherlands
About: Radboud University Nijmegen is a education organization based out in Nijmegen, Gelderland, Netherlands. It is known for research contribution in the topics: Population & Randomized controlled trial. The organization has 35417 authors who have published 83035 publications receiving 3285064 citations. The organization is also known as: Catholic University of Nijmegen & Radboud University.


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Journal ArticleDOI
Eric C. Bellm1, Shrinivas R. Kulkarni2, Matthew J. Graham2, Richard Dekany2, Roger M. H. Smith2, Reed Riddle2, Frank J. Masci2, George Helou2, Thomas A. Prince2, Scott M. Adams2, Cristina Barbarino3, Tom A. Barlow2, James Bauer4, Ron Beck2, Justin Belicki2, Rahul Biswas3, Nadejda Blagorodnova2, Dennis Bodewits4, Bryce Bolin1, V. Brinnel5, Tim Brooke2, Brian D. Bue2, Mattia Bulla3, Rick Burruss2, S. Bradley Cenko6, S. Bradley Cenko4, Chan-Kao Chang7, Andrew J. Connolly1, Michael W. Coughlin2, John Cromer2, Virginia Cunningham4, Kaushik De2, Alex Delacroix2, Vandana Desai2, Dmitry A. Duev2, Gwendolyn Eadie1, Tony L. Farnham4, Michael Feeney2, Ulrich Feindt3, David Flynn2, Anna Franckowiak, Sara Frederick4, Christoffer Fremling2, Avishay Gal-Yam8, Suvi Gezari4, Matteo Giomi5, Daniel A. Goldstein2, V. Zach Golkhou1, Ariel Goobar3, Steven Groom2, Eugean Hacopians2, David Hale2, John Henning2, Anna Y. Q. Ho2, David Hover2, Justin Howell2, Tiara Hung4, Daniela Huppenkothen1, David Imel2, Wing-Huen Ip7, Wing-Huen Ip9, Željko Ivezić1, Edward Jackson2, Lynne Jones1, Mario Juric1, Mansi M. Kasliwal2, Shai Kaspi10, Stephen Kaye2, Michael S. P. Kelley4, Marek Kowalski5, Emily Kramer2, Thomas Kupfer2, Thomas Kupfer11, Walter Landry2, Russ R. Laher2, Chien De Lee7, Hsing Wen Lin12, Hsing Wen Lin7, Zhong-Yi Lin7, Ragnhild Lunnan3, Ashish Mahabal2, Peter H. Mao2, Adam A. Miller13, Adam A. Miller14, Serge Monkewitz2, Patrick J. Murphy2, Chow-Choong Ngeow7, Jakob Nordin5, Peter Nugent15, Peter Nugent16, Eran O. Ofek8, Maria T. Patterson1, Bryan E. Penprase17, Michael Porter2, L. Rauch, Umaa Rebbapragada2, Daniel J. Reiley2, Mickael Rigault18, Hector P. Rodriguez2, Jan van Roestel19, Ben Rusholme2, J. V. Santen, Steve Schulze8, David L. Shupe2, Leo Singer6, Leo Singer4, Maayane T. Soumagnac8, Robert Stein, Jason Surace2, Jesper Sollerman3, Paula Szkody1, Francesco Taddia3, Scott Terek2, Angela Van Sistine20, Sjoert van Velzen4, W. Thomas Vestrand21, Richard Walters2, Charlotte Ward4, Quanzhi Ye2, Po-Chieh Yu7, Lin Yan2, Jeffry Zolkower2 
TL;DR: The Zwicky Transient Facility (ZTF) as mentioned in this paper is a new optical time-domain survey that uses the Palomar 48 inch Schmidt telescope, which provides a 47 deg^2 field of view and 8 s readout time, yielding more than an order of magnitude improvement in survey speed relative to its predecessor survey.
Abstract: The Zwicky Transient Facility (ZTF) is a new optical time-domain survey that uses the Palomar 48 inch Schmidt telescope. A custom-built wide-field camera provides a 47 deg^2 field of view and 8 s readout time, yielding more than an order of magnitude improvement in survey speed relative to its predecessor survey, the Palomar Transient Factory. We describe the design and implementation of the camera and observing system. The ZTF data system at the Infrared Processing and Analysis Center provides near-real-time reduction to identify moving and varying objects. We outline the analysis pipelines, data products, and associated archive. Finally, we present on-sky performance analysis and first scientific results from commissioning and the early survey. ZTF's public alert stream will serve as a useful precursor for that of the Large Synoptic Survey Telescope.

1,009 citations

Journal ArticleDOI
17 Jul 2014-Nature
TL;DR: Genome sequencing can be applied as a single genetic test to reliably identify and characterize the comprehensive spectrum of genetic variation, providing a genetic diagnosis in the majority of patients with severe ID.
Abstract: Severe intellectual disability (ID) occurs in 0.5% of newborns and is thought to be largely genetic in origin. The extensive genetic heterogeneity of this disorder requires a genome-wide detection of all types of genetic variation. Microarray studies and, more recently, exome sequencing have demonstrated the importance of de novo copy number variations (CNVs) and single-nucleotide variations (SNVs) in ID, but the majority of cases remain undiagnosed. Here we applied whole-genome sequencing to 50 patients with severe ID and their unaffected parents. All patients included had not received a molecular diagnosis after extensive genetic prescreening, including microarray-based CNV studies and exome sequencing. Notwithstanding this prescreening, 84 de novo SNVs affecting the coding region were identified, which showed a statistically significant enrichment of loss-of-function mutations as well as an enrichment for genes previously implicated in ID-related disorders. In addition, we identified eight de novo CNVs, including single-exon and intra-exonic deletions, as well as interchromosomal duplications. These CNVs affected known ID genes more frequently than expected. On the basis of diagnostic interpretation of all de novo variants, a conclusive genetic diagnosis was reached in 20 patients. Together with one compound heterozygous CNV causing disease in a recessive mode, this results in a diagnostic yield of 42% in this extensively studied cohort, and 62% as a cumulative estimate in an unselected cohort. These results suggest that de novo SNVs and CNVs affecting the coding region are a major cause of severe ID. Genome sequencing can be applied as a single genetic test to reliably identify and characterize the comprehensive spectrum of genetic variation, providing a genetic diagnosis in the majority of patients with severe ID.

1,002 citations

Book ChapterDOI
01 Jan 2010
TL;DR: In this paper, the identification and quantification of moderating effects in complex causal structures by means of Partial Least Squares Path Modeling is discussed. But the authors do not consider the effect of group comparisons.
Abstract: Along with the development of scientific disciplines, namely social sciences, hypothesized relationships become increasingly more complex. Besides the examination of direct effects, researchers are more and more interested in moderating effects. Moderating effects are evoked by variables whose variation influences the strength or the direction of a relationship between an exogenous and an endogenous variable. Investigators using partial least squares path modeling need appropriate means to test their models for such moderating effects. We illustrate the identification and quantification of moderating effects in complex causal structures by means of Partial Least Squares Path Modeling. We also show that group comparisons, i.e. comparisons of model estimates for different groups of observations, represent a special case of moderating effects by having the grouping variable as a categorical moderator variable. We provide profound answers to typical questions related to testing moderating effects within PLS path models: 1. How can a moderating effect be drawn in a PLS path model, taking into account that the available software only permits direct effects? 2. How does the type of measurement model of the independent and the moderator variables influence the detection of moderating effects? 3. Before the model estimation, should the data be prepared in a particular manner? Should the indicators be centered (by having a mean of zero), standardized (by having a mean of zero and a standard deviation of one), or manipulated in any other way? 4. How can the coefficients of moderating effects be estimated and interpreted?And, finally: 5. How can the significance of moderating effects be determined? Borrowing from the body of knowledge on modeling interaction effect within multiple regression, we develop a guideline on how to test moderating effects in PLS path models. In particular, we create a graphical representation of the necessary steps to take and decisions to make in the form of a flow chart. Starting with the analysis of the type of data available, via the measurement model specification, the flow chart leads the researcher through the decisions on how to prepare the data and how to model the moderating effect. The flow chart ends with the bootstrapping, as the preferred means to test significance, and the final interpretation of the model outcomes.

1,002 citations

Journal ArticleDOI
TL;DR: Pivotal for the clinical development of new sepsis therapies is the selection of patients on the basis of biomarkers and/or functional defects that provide specific insights into the expression or activity of the therapeutic target.
Abstract: Sepsis is defined as a life-threatening organ dysfunction that is caused by a dysregulated host response to infection. In sepsis, the immune response that is initiated by an invading pathogen fails to return to homeostasis, thus culminating in a pathological syndrome that is characterized by sustained excessive inflammation and immune suppression. Our understanding of the key mechanisms involved in the pathogenesis of sepsis has increased tremendously, yet this still needs to be translated into novel targeted therapeutic strategies. Pivotal for the clinical development of new sepsis therapies is the selection of patients on the basis of biomarkers and/or functional defects that provide specific insights into the expression or activity of the therapeutic target.

996 citations

Journal ArticleDOI
TL;DR: An extensive and comprehensive overview of Mg(2+) research over the last few decades is provided, focusing on the regulation of M g(2+) homeostasis in the intestine, kidney, and bone and disturbances which may result in hypomagnesemia.
Abstract: Magnesium (Mg(2+)) is an essential ion to the human body, playing an instrumental role in supporting and sustaining health and life. As the second most abundant intracellular cation after potassium, it is involved in over 600 enzymatic reactions including energy metabolism and protein synthesis. Although Mg(2+) availability has been proven to be disturbed during several clinical situations, serum Mg(2+) values are not generally determined in patients. This review aims to provide an overview of the function of Mg(2+) in human health and disease. In short, Mg(2+) plays an important physiological role particularly in the brain, heart, and skeletal muscles. Moreover, Mg(2+) supplementation has been shown to be beneficial in treatment of, among others, preeclampsia, migraine, depression, coronary artery disease, and asthma. Over the last decade, several hereditary forms of hypomagnesemia have been deciphered, including mutations in transient receptor potential melastatin type 6 (TRPM6), claudin 16, and cyclin M2 (CNNM2). Recently, mutations in Mg(2+) transporter 1 (MagT1) were linked to T-cell deficiency underlining the important role of Mg(2+) in cell viability. Moreover, hypomagnesemia can be the consequence of the use of certain types of drugs, such as diuretics, epidermal growth factor receptor inhibitors, calcineurin inhibitors, and proton pump inhibitors. This review provides an extensive and comprehensive overview of Mg(2+) research over the last few decades, focusing on the regulation of Mg(2+) homeostasis in the intestine, kidney, and bone and disturbances which may result in hypomagnesemia.

996 citations


Authors

Showing all 35749 results

NameH-indexPapersCitations
Charles A. Dinarello1901058139668
Richard H. Friend1691182140032
Yang Gao1682047146301
Ian J. Deary1661795114161
David T. Felson153861133514
Margaret A. Pericak-Vance149826118672
Fernando Rivadeneira14662886582
Shah Ebrahim14673396807
Mihai G. Netea142117086908
Mingshui Chen1411543125369
George Alverson1401653105074
Barry Blumenfeld1401909105694
Harvey B Newman139159488308
Tariq Aziz138164696586
Stylianos E. Antonarakis13874693605
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023123
2022492
20216,380
20206,080
20195,747
20185,114