Institution
University of Milan
Education•Milan, Italy•
About: University of Milan is a education organization based out in Milan, Italy. It is known for research contribution in the topics: Population & Transplantation. The organization has 58413 authors who have published 139784 publications receiving 4636354 citations. The organization is also known as: Università degli Studi di Milano & Statale.
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TL;DR: In this article, the authors provide an updated recommendation for the usage of sets of parton distribution functions (PDFs) and the assessment of PDF and PDF+$\alpha_s$ uncertainties suitable for applications at the LHC Run II.
Abstract: We provide an updated recommendation for the usage of sets of parton distribution functions (PDFs) and the assessment of PDF and PDF+$\alpha_s$ uncertainties suitable for applications at the LHC Run II. We review developments since the previous PDF4LHC recommendation, and discuss and compare the new generation of PDFs, which include substantial information from experimental data from the Run I of the LHC. We then propose a new prescription for the combination of a suitable subset of the available PDF sets, which is presented in terms of a single combined PDF set. We finally discuss tools which allow for the delivery of this combined set in terms of optimized sets of Hessian eigenvectors or Monte Carlo replicas, and their usage, and provide some examples of their application to LHC phenomenology.
1,098 citations
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Harvard University1, Broad Institute2, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico3, McMaster University4, McGill University5, University of Leicester6, University of Lübeck7, University of Pennsylvania8, Vanderbilt University9, University of Missouri–Kansas City10, University of Münster11, University of Verona12, Queen's University Belfast13, University of Washington14, Boston University15, University of Helsinki16, National Institute for Health and Welfare17, Lund University18, University of Cambridge19, Vita-Salute San Raffaele University20, University of Ferrara21, University of Turin22, Hebrew University of Jerusalem23, University of Girona24, University of Milan25, University of Leeds26, University of Regensburg27, Ludwig Maximilian University of Munich28, University of Kiel29, Wellcome Trust Sanger Institute30, University of Paris31, MedStar Washington Hospital Center32, deCODE genetics33, University of Iceland34
TL;DR: SNPs at nine loci were reproducibly associated with myocardial infarction, but tests of common and rare CNVs failed to identify additional associations with my Cardiovascular Infarction risk.
Abstract: We conducted a genome-wide association study testing single nucleotide polymorphisms (SNPs) and copy number variants (CNVs) for association with early-onset myocardial infarction in 2,967 cases and 3,075 controls We carried out replication in an independent sample with an effective sample size of up to 19,492 SNPs at nine loci reached genome-wide significance: three are newly identified (21q22 near MRPS6-SLC5A3-KCNE2, 6p24 in PHACTR1 and 2q33 in WDR12) and six replicated prior observations1, 2, 3, 4 (9p21, 1p13 near CELSR2-PSRC1-SORT1, 10q11 near CXCL12, 1q41 in MIA3, 19p13 near LDLR and 1p32 near PCSK9) We tested 554 common copy number polymorphisms (>1% allele frequency) and none met the pre-specified threshold for replication (P < 10-3) We identified 8,065 rare CNVs but did not detect a greater CNV burden in cases compared to controls, in genes compared to the genome as a whole, or at any individual locus SNPs at nine loci were reproducibly associated with myocardial infarction, but tests of common and rare CNVs failed to identify additional associations with myocardial infarction risk
1,092 citations
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Wellcome Trust Sanger Institute1, University of Oxford2, St James's University Hospital3, Karolinska Institutet4, University of Milan5, University of Cambridge6, University of Southampton7, University of Pavia8, University of Dundee9, Harvard University10, Veterans Health Administration11, University of Texas MD Anderson Cancer Center12, University of Cologne13
TL;DR: Mutations in SF3B1 implicate abnormalities of messenger RNA splicing in the pathogenesis of myelodysplastic syndromes and were associated with down-regulation of key gene networks, including core mitochondrial pathways.
Abstract: BACKGROUND Myelodysplastic syndromes are a diverse and common group of chronic hematologic cancers. The identification of new genetic lesions could facilitate new diagnostic and therapeutic strategies. METHODS We used massively parallel sequencing technology to identify somatically acquired point mutations across all protein-coding exons in the genome in 9 patients with low-grade myelodysplasia. Targeted resequencing of the gene encoding RNA splicing factor 3B, subunit 1 (SF3B1), was also performed in a cohort of 2087 patients with myeloid or other cancers. RESULTS We identified 64 point mutations in the 9 patients. Recurrent somatically acquired mutations were identified in SF3B1. Follow-up revealed SF3B1 mutations in 72 of 354 patients (20%) with myelodysplastic syndromes, with particularly high frequency among patients whose disease was characterized by ring sideroblasts (53 of 82 [65%]). The gene was also mutated in 1 to 5% of patients with a variety of other tumor types. The observed mutations were less deleterious than was expected on the basis of chance, suggesting that the mutated protein retains structural integrity with altered function. SF3B1 mutations were associated with down-regulation of key gene networks, including core mitochondrial pathways. Clinically, patients with SF3B1 mutations had fewer cytopenias and longer event-free survival than patients without SF3B1 mutations. CONCLUSIONS Mutations in SF3B1 implicate abnormalities of messenger RNA splicing in the pathogenesis of myelodysplastic syndromes. (Funded by the Wellcome Trust and others.).
1,090 citations
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Tan Tock Seng Hospital1, The Chinese University of Hong Kong2, NewYork–Presbyterian Hospital3, University of Pavia4, Autonomous University of Madrid5, Technische Universität München6, University of Milan7, Kaiser Permanente8, University of Barcelona9, University of Chicago10, Harvard University11, Brown University12, Stanford University13
TL;DR: In patients with severe Covid-19 not requiring mechanical ventilation, a randomized, open-label, phase 3 trial involving hospitalized patients with confirmed SARS-CoV-2 infection, oxygen saturation of 94% or less while they were breathing ambient air, and radiologic evidence of pneumonia, the magnitude of benefit cannot be determined.
Abstract: Background Remdesivir is an RNA polymerase inhibitor with potent antiviral activity in vitro and efficacy in animal models of coronavirus disease 2019 (Covid-19). Methods We conducted a ra...
1,086 citations
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TL;DR: Although placing patients with acute respiratory failure in a prone position improves their oxygenation, it does not improve survival.
Abstract: Background Although placing patients with acute respiratory failure in a prone (face down) position improves their oxygenation 60 to 70 percent of the time, the effect on survival is not known. Methods In a multicenter, randomized trial, we compared conventional treatment (in the supine position) of patients with acute lung injury or the acute respiratory distress syndrome with a predefined strategy of placing patients in a prone position for six or more hours daily for 10 days. We enrolled 304 patients, 152 in each group. Results The mortality rate was 23.0 percent during the 10-day study period, 49.3 percent at the time of discharge from the intensive care unit, and 60.5 percent at 6 months. The relative risk of death in the prone group as compared with the supine group was 0.84 at the end of the study period (95 percent confidence interval, 0.56 to 1.27), 1.05 at the time of discharge from the intensive care unit (95 percent confidence interval, 0.84 to 1.32), and 1.06 at six months (95 percent confide...
1,085 citations
Authors
Showing all 58902 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Cui | 220 | 1015 | 199725 |
Peter J. Barnes | 194 | 1530 | 166618 |
Thomas C. Südhof | 191 | 653 | 118007 |
Charles A. Dinarello | 190 | 1058 | 139668 |
Alberto Mantovani | 183 | 1397 | 163826 |
John J.V. McMurray | 178 | 1389 | 184502 |
Giuseppe Remuzzi | 172 | 1226 | 160440 |
Russel J. Reiter | 169 | 1646 | 121010 |
Jean Louis Vincent | 161 | 1667 | 163721 |
Tobin J. Marks | 159 | 1621 | 111604 |
Tomas Hökfelt | 158 | 1033 | 95979 |
José Baselga | 156 | 707 | 122498 |
Naveed Sattar | 155 | 1326 | 116368 |
Silvia Franceschi | 155 | 1340 | 112504 |
Frederik Barkhof | 154 | 1449 | 104982 |