Institution
University of Geneva
Education•Geneva, Switzerland•
About: University of Geneva is a education organization based out in Geneva, Switzerland. It is known for research contribution in the topics: Population & Galaxy. The organization has 26887 authors who have published 65265 publications receiving 2931373 citations. The organization is also known as: Geneva University & Universite de Geneve.
Topics: Population, Galaxy, Planet, Stars, Context (language use)
Papers published on a yearly basis
Papers
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University of Cambridge1, Wellcome Trust Sanger Institute2, McGill University3, European Bioinformatics Institute4, Pompeu Fabra University5, University College London6, NHS Blood and Transplant7, Radboud University Nijmegen8, Max Planck Society9, University of Geneva10, New York University11, British Heart Foundation12, Newcastle University13, University of Amsterdam14
TL;DR: High-resolution genetic, epigenetic, and transcriptomic profiling in three major human immune cell types from up to 197 individuals yields insights into cell-type-specific correlation between diverse genomic inputs, more generalizable correlations between these inputs, and defines molecular events that may underpin complex disease risk.
504 citations
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TL;DR: A systematic review of studies of trends in prevalence, incidence and mortality for people with dementia, conducted since 1980 found no evidence to suggest that the current assumption of constant age-specific prevalence of dementia over time is ill-founded.
Abstract: Current projections of the scale of the coming dementia epidemic assume that the age- and sex-specific prevalence of dementia will not vary over time, and that population ageing alone (increasing the number of older people at risk) drives the projected increases. The basis for this assumption is doubtful, and secular trends (that is, gradual decreases or increases in prevalence over long-term periods) are perfectly plausible. We carried out a systematic review of studies of trends in prevalence, incidence and mortality for people with dementia, conducted since 1980. We identified nine studies that had tracked dementia prevalence, eight that had tracked dementia incidence, and four that had tracked mortality among people with dementia. There was some moderately consistent evidence to suggest that the incidence of dementia may be declining in high-income countries. Evidence on trends in the prevalence of dementia were inconsistent across studies and did not suggest any clear overall effect. Declining incidence may be balanced by longer survival with dementia, although mortality trends have been little studied. There is some evidence to suggest increasing prevalence in East Asia, consistent with worsening cardiovascular risk factor profiles, although secular changes in diagnostic criteria may also have contributed. We found no evidence to suggest that the current assumption of constant age-specific prevalence of dementia over time is ill-founded. However, there remains some uncertainty as to the future scale of the dementia epidemic. Population ageing seems destined to play the greatest role, and prudent policymakers should plan future service provision based upon current prevalence projections. Additional priorities should include investing in brain health promotion and dementia prevention programs, and monitoring the future course of the epidemic to chart the effectiveness of these measures.
504 citations
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TL;DR: In this paper, an isotropic, unbroken power-law flux with a normalization at 100 TeV neutrino energy of (0.90 -0.27 +0.30) × 10-18 Gev-1 cm-2 s-1 sr-1 and a hard spectral index of γ = 2.13 ± 0.13.
Abstract: The IceCube Collaboration has previously discovered a high-energy astrophysical neutrino flux using neutrino events with interaction vertices contained within the instrumented volume of the IceCube detector. We present a complementary measurement using charged current muon neutrino events where the interaction vertex can be outside this volume. As a consequence of the large muon range the effective area is significantly larger but the field of view is restricted to the Northern Hemisphere. IceCube data from 2009 through 2015 have been analyzed using a likelihood approach based on the reconstructed muon energy and zenith angle. At the highest neutrino energies between 194 TeV and 7.8 PeV a significant astrophysical contribution is observed, excluding a purely atmospheric origin of these events at 5.6s significance. The data are well described by an isotropic, unbroken power-law flux with a normalization at 100 TeV neutrino energy of (0.90 -0.27 +0.30) × 10-18 Gev-1 cm-2 s-1 sr-1and a hard spectral index of γ = 2.13 ± 0.13. The observed spectrum is harder in comparison to previous IceCube analyses with lower energy thresholds which may indicate a break in the astrophysical neutrino spectrum of unknown origin. The highest-energy event observed has a reconstructed muon energy of (4.5 ± 1.2) PeV which implies a probability of less than 0.005% for this event to be of atmospheric origin. Analyzing the arrival directions of all events with reconstructed muon energies above 200 TeV no correlation with known γ-ray sources was found. Using the high statistics of atmospheric neutrinos we report the current best constraints on a prompt atmospheric muon neutrino flux originating from charmed meson decays which is below 1.06 in units of the flux normalization of the model in Enberg et al.
503 citations
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TL;DR: High sensitivity and specificity are suggested for echo-planar diffusion-weighted MR imaging in the diagnosis of acute cerebral infarction, although negative scans did not rule out an ischemic pathogenesis.
Abstract: PURPOSE Our purpose was to evaluate the clinical efficacy, sensitivity, and specificity of echo-planar diffusion-weighted MR imaging in patients with acute infarction. METHODS We retrospectively analyzed 194 cases of acute ischemic stroke diagnosed clinically within 24 hours of onset and studied with echo-planar diffusion-weighted MR imaging. Examinations were considered to be positive for infarction when an increase in signal was noted on images acquired at a high b value but absent on images with a low b value. A final clinical diagnosis of acute stroke was used as the standard of reference. A subset of 48 patients scanned within 6 hours was also analyzed. RESULTS Diffusion-weighted MR imaging studies were positive in 133 of 151 cases of infarction (88% sensitivity) and negative in 41 of 43 cases with no infarction (95% specificity). Two cases identified as positive on diffusion-weighted images had nonischemic diagnoses (1.5% false-positive rate). Diffusion-weighted imaging had a positive predictive value of 98.5% and a negative predictive value of 69.5%. Use of T2-weighted sequences as well as diffusion-weighted imaging produced no false-positive findings. Of the negative scans, 69.5% corresponded to transient ischemic attacks or infarcts (mostly small brain stem infarcts). When only cases scanned within 6 hours of onset were considered, the sensitivity rose to 94% and the specificity to 100%. CONCLUSION Despite bias due to dependence between diffusion-weighted imaging and the final diagnosis, this analysis suggests high sensitivity and specificity for echo-planar diffusion-weighted imaging in the diagnosis of acute cerebral infarction, although negative scans did not rule out an ischemic pathogenesis.
503 citations
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TL;DR: Members of the RNA-helicase family are defined by several evolutionary conserved motifs and new insights are given into, and the significance of these proteins for, most cellular RNA metabolic processes is confirmed.
503 citations
Authors
Showing all 27203 results
Name | H-index | Papers | Citations |
---|---|---|---|
JoAnn E. Manson | 270 | 1819 | 258509 |
Joseph L. Goldstein | 207 | 556 | 149527 |
Kari Stefansson | 206 | 794 | 174819 |
David Baltimore | 203 | 876 | 162955 |
Mark I. McCarthy | 200 | 1028 | 187898 |
Michael S. Brown | 185 | 422 | 123723 |
Yang Gao | 168 | 2047 | 146301 |
Napoleone Ferrara | 167 | 494 | 140647 |
Marc Weber | 167 | 2716 | 153502 |
Alessandro Melchiorri | 151 | 674 | 116384 |
Andrew D. Hamilton | 151 | 1334 | 105439 |
David P. Strachan | 143 | 472 | 105256 |
Andrew Beretvas | 141 | 1985 | 110059 |
Rainer Wallny | 141 | 1661 | 105387 |
Josh Moss | 139 | 1019 | 89255 |