scispace - formally typeset
Search or ask a question
Institution

Utrecht University

EducationUtrecht, Utrecht, Netherlands
About: Utrecht University is a education organization based out in Utrecht, Utrecht, Netherlands. It is known for research contribution in the topics: Population & Context (language use). The organization has 58176 authors who have published 139351 publications receiving 6214282 citations. The organization is also known as: UU & Universiteit Utrecht.


Papers
More filters
Journal ArticleDOI
Hreinn Stefansson1, Hreinn Stefansson2, Roel A. Ophoff1, Roel A. Ophoff3, Roel A. Ophoff4, Stacy Steinberg1, Stacy Steinberg2, Ole A. Andreassen5, Sven Cichon6, Dan Rujescu7, Thomas Werge8, Olli Pietilainen9, Ole Mors10, Preben Bo Mortensen11, Engilbert Sigurdsson12, Omar Gustafsson2, Mette Nyegaard11, Annamari Tuulio-Henriksson13, Andres Ingason2, Thomas Hansen8, Jaana Suvisaari13, Jouko Lönnqvist13, Tiina Paunio, Anders D. Børglum10, Anders D. Børglum11, Annette M. Hartmann7, Anders Fink-Jensen8, Merete Nordentoft14, David M. Hougaard, Bent Nørgaard-Pedersen, Yvonne Böttcher2, Jes Olesen15, René Breuer16, Hans-Jürgen Möller7, Ina Giegling7, Henrik B. Rasmussen8, Sally Timm8, Manuel Mattheisen6, István Bitter17, János Réthelyi17, Brynja B. Magnusdottir12, Thordur Sigmundsson12, Pall I. Olason2, Gisli Masson2, Jeffrey R. Gulcher2, Magnús Haraldsson12, Ragnheidur Fossdal2, Thorgeir E. Thorgeirsson2, Unnur Thorsteinsdottir12, Unnur Thorsteinsdottir2, Mirella Ruggeri18, Sarah Tosato18, Barbara Franke19, Eric Strengman4, Lambertus A. Kiemeney19, Ingrid Melle5, Srdjan Djurovic5, Lilia I. Abramova20, Kaleda Vg20, Julio Sanjuán21, Rosa de Frutos21, Elvira Bramon22, Evangelos Vassos22, Gillian Fraser23, Ulrich Ettinger22, Marco Picchioni22, Nicholas Walker, T. Toulopoulou22, Anna C. Need24, Dongliang Ge24, Joeng Lim Yoon3, Kevin V. Shianna24, Nelson B. Freimer3, Rita M. Cantor3, Robin M. Murray22, Augustine Kong2, Vera Golimbet20, Angel Carracedo25, Celso Arango26, Javier Costas, Erik G. Jönsson27, Lars Terenius27, Ingrid Agartz27, Hannes Petursson12, Markus M. Nöthen6, Marcella Rietschel16, Paul M. Matthews28, Pierandrea Muglia29, Leena Peltonen9, David St Clair23, David Goldstein24, Kari Stefansson12, Kari Stefansson2, David A. Collier22, David A. Collier30 
06 Aug 2009-Nature
TL;DR: Findings implicating the MHC region are consistent with an immune component to schizophrenia risk, whereas the association with NRGN and TCF4 points to perturbation of pathways involved in brain development, memory and cognition.
Abstract: Schizophrenia is a complex disorder, caused by both genetic and environmental factors and their interactions. Research on pathogenesis has traditionally focused on neurotransmitter systems in the brain, particularly those involving dopamine. Schizophrenia has been considered a separate disease for over a century, but in the absence of clear biological markers, diagnosis has historically been based on signs and symptoms. A fundamental message emerging from genome-wide association studies of copy number variations (CNVs) associated with the disease is that its genetic basis does not necessarily conform to classical nosological disease boundaries. Certain CNVs confer not only high relative risk of schizophrenia but also of other psychiatric disorders. The structural variations associated with schizophrenia can involve several genes and the phenotypic syndromes, or the 'genomic disorders', have not yet been characterized. Single nucleotide polymorphism (SNP)-based genome-wide association studies with the potential to implicate individual genes in complex diseases may reveal underlying biological pathways. Here we combined SNP data from several large genome-wide scans and followed up the most significant association signals. We found significant association with several markers spanning the major histocompatibility complex (MHC) region on chromosome 6p21.3-22.1, a marker located upstream of the neurogranin gene (NRGN) on 11q24.2 and a marker in intron four of transcription factor 4 (TCF4) on 18q21.2. Our findings implicating the MHC region are consistent with an immune component to schizophrenia risk, whereas the association with NRGN and TCF4 points to perturbation of pathways involved in brain development, memory and cognition.

1,625 citations

Journal ArticleDOI
TL;DR: Ticks and tick-borne diseases affect animal and human health worldwide and are the cause of significant economic losses and although some estimates are given, there is a lack of reliable data.
Abstract: Ticks and tick-borne diseases affect animal and human health worldwide and are the cause of significant economic losses. Approximately 10% of the currently known 867 tick species act as vectors of a broad range of pathogens of domestic animals and humans and are also responsible for damage directly due to their feeding behaviour. The most important tick species and the effects they cause are listed. The impact on the global economy is considered to be high and although some estimates are given, there is a lack of reliable data. The impact of ticks and tick-borne diseases on animal production and public health and their control are discussed.

1,623 citations

Journal ArticleDOI
David Capper1, David Capper2, David Capper3, David T.W. Jones1  +168 moreInstitutions (54)
22 Mar 2018-Nature
TL;DR: This work presents a comprehensive approach for the DNA methylation-based classification of central nervous system tumours across all entities and age groups, and shows that the availability of this method may have a substantial impact on diagnostic precision compared to standard methods.
Abstract: Accurate pathological diagnosis is crucial for optimal management of patients with cancer. For the approximately 100 known tumour types of the central nervous system, standardization of the diagnostic process has been shown to be particularly challenging-with substantial inter-observer variability in the histopathological diagnosis of many tumour types. Here we present a comprehensive approach for the DNA methylation-based classification of central nervous system tumours across all entities and age groups, and demonstrate its application in a routine diagnostic setting. We show that the availability of this method may have a substantial impact on diagnostic precision compared to standard methods, resulting in a change of diagnosis in up to 12% of prospective cases. For broader accessibility, we have designed a free online classifier tool, the use of which does not require any additional onsite data processing. Our results provide a blueprint for the generation of machine-learning-based tumour classifiers across other cancer entities, with the potential to fundamentally transform tumour pathology.

1,620 citations

Journal ArticleDOI
TL;DR: This review provides a summary statement of recommended implementations of arterial spin labeling (ASL) for clinical applications and describes the major considerations and trade‐offs in implementing an ASL protocol and provides specific recommendations for a standard approach.
Abstract: This review provides a summary statement of recommended implementations of arterial spin labeling (ASL) for clinical applications. It is a consensus of the ISMRM Perfusion Study Group and the European ASL in Dementia consortium, both of whom met to reach this consensus in October 2012 in Amsterdam. Although ASL continues to undergo rapid technical development, we believe that current ASL methods are robust and ready to provide useful clinical information, and that a consensus statement on recommended implementations will help the clinical community to adopt a standardized approach. In this review, we describe the major considerations and trade-offs in implementing an ASL protocol and provide specific recommendations for a standard approach. Our conclusion is that as an optimal default implementation, we recommend pseudo-continuous labeling, background suppression, a segmented three-dimensional readout without vascular crushing gradients, and calculation and presentation of both label/control difference images and cerebral blood flow in absolute units using a simplified model.

1,617 citations

Journal ArticleDOI
23 Jan 2018-JAMA
TL;DR: A group of 24 multidisciplinary experts used a systematic review of articles on existing reporting guidelines and methods, a 3-round Delphi process, a consensus meeting, pilot testing, and iterative refinement to develop the PRISMA diagnostic test accuracy guideline.
Abstract: Importance Systematic reviews of diagnostic test accuracy synthesize data from primary diagnostic studies that have evaluated the accuracy of 1 or more index tests against a reference standard, provide estimates of test performance, allow comparisons of the accuracy of different tests, and facilitate the identification of sources of variability in test accuracy. Objective To develop the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) diagnostic test accuracy guideline as a stand-alone extension of the PRISMA statement. Modifications to the PRISMA statement reflect the specific requirements for reporting of systematic reviews and meta-analyses of diagnostic test accuracy studies and the abstracts for these reviews. Design Established standards from the Enhancing the Quality and Transparency of Health Research (EQUATOR) Network were followed for the development of the guideline. The original PRISMA statement was used as a framework on which to modify and add items. A group of 24 multidisciplinary experts used a systematic review of articles on existing reporting guidelines and methods, a 3-round Delphi process, a consensus meeting, pilot testing, and iterative refinement to develop the PRISMA diagnostic test accuracy guideline. The final version of the PRISMA diagnostic test accuracy guideline checklist was approved by the group. Findings The systematic review (produced 64 items) and the Delphi process (provided feedback on 7 proposed items; 1 item was later split into 2 items) identified 71 potentially relevant items for consideration. The Delphi process reduced these to 60 items that were discussed at the consensus meeting. Following the meeting, pilot testing and iterative feedback were used to generate the 27-item PRISMA diagnostic test accuracy checklist. To reflect specific or optimal contemporary systematic review methods for diagnostic test accuracy, 8 of the 27 original PRISMA items were left unchanged, 17 were modified, 2 were added, and 2 were omitted. Conclusions and Relevance The 27-item PRISMA diagnostic test accuracy checklist provides specific guidance for reporting of systematic reviews. The PRISMA diagnostic test accuracy guideline can facilitate the transparent reporting of reviews, and may assist in the evaluation of validity and applicability, enhance replicability of reviews, and make the results from systematic reviews of diagnostic test accuracy studies more useful.

1,616 citations


Authors

Showing all 58756 results

NameH-indexPapersCitations
Ronald C. Kessler2741332328983
Albert Hofman2672530321405
Douglas G. Altman2531001680344
Hans Clevers199793169673
Craig B. Thompson195557173172
Patrick W. Serruys1862427173210
Ruedi Aebersold182879141881
Dennis S. Charney179802122408
Kenneth S. Kendler1771327142251
Jean Louis Vincent1611667163721
Vilmundur Gudnason159837123802
Monique M.B. Breteler15954693762
Lex M. Bouter158767103034
Elio Riboli1581136110499
Roy F. Baumeister157650132987
Network Information
Related Institutions (5)
University College London
210.6K papers, 9.8M citations

94% related

University of Washington
305.5K papers, 17.7M citations

94% related

University of Minnesota
257.9K papers, 11.9M citations

94% related

University of British Columbia
209.6K papers, 9.2M citations

94% related

University of California, Davis
180K papers, 8M citations

94% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023429
20221,014
20218,993
20208,578
20197,862
20187,020