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Institution

Glenfield Hospital

HealthcareLeicester, United Kingdom
About: Glenfield Hospital is a healthcare organization based out in Leicester, United Kingdom. It is known for research contribution in the topics: Population & Extracorporeal membrane oxygenation. The organization has 1382 authors who have published 1812 publications receiving 99238 citations. The organization is also known as: Glenfield General Hospital.


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Journal ArticleDOI
TL;DR: In lung adenocarcinoma, but not lung squamous cell carcinoma, geometrical irregularity and complexity of the cancer–stromal cell interface significantly increased in tumor regions without disruption of antigen presentation, and immune geospatial variability elucidates tumor ecological constraints that may shape the emergence of immune-evading subclones and aggressive clinical phenotypes.
Abstract: Remarkable progress in molecular analyses has improved our understanding of the evolution of cancer cells toward immune escape1-5. However, the spatial configurations of immune and stromal cells, which may shed light on the evolution of immune escape across tumor geographical locations, remain unaddressed. We integrated multiregion exome and RNA-sequencing (RNA-seq) data with spatial histology mapped by deep learning in 100 patients with non-small cell lung cancer from the TRACERx cohort6. Cancer subclones derived from immune cold regions were more closely related in mutation space, diversifying more recently than subclones from immune hot regions. In TRACERx and in an independent multisample cohort of 970 patients with lung adenocarcinoma, tumors with more than one immune cold region had a higher risk of relapse, independently of tumor size, stage and number of samples per patient. In lung adenocarcinoma, but not lung squamous cell carcinoma, geometrical irregularity and complexity of the cancer-stromal cell interface significantly increased in tumor regions without disruption of antigen presentation. Decreased lymphocyte accumulation in adjacent stroma was observed in tumors with low clonal neoantigen burden. Collectively, immune geospatial variability elucidates tumor ecological constraints that may shape the emergence of immune-evading subclones and aggressive clinical phenotypes.

165 citations

Journal ArticleDOI
TL;DR: Overall, common genetic variants that influence plasma tHcy concentrations are not associated with risk of CAD in white populations, which further refutes the causal relevance of moderately elevated tH Cy concentrations and tHCy-related pathways for CAD.

159 citations

Journal ArticleDOI
Vinicius Tragante1, Michael R. Barnes2, Santhi K. Ganesh3, Matthew B. Lanktree4, Wei Guo5, Nora Franceschini6, Erin N. Smith7, Toby Johnson2, Michael V. Holmes8, Sandosh Padmanabhan9, Konrad J. Karczewski10, Berta Almoguera8, John Barnard11, Jens Baumert, Yen Pei C. Chang12, Clara C. Elbers1, Martin Farrall13, Mary E. Fischer14, Tom R. Gaunt15, Johannes M.I.H. Gho1, Christian Gieger, Anuj Goel13, Yan Gong16, Aaron Isaacs17, Marcus E. Kleber18, Irene Mateo Leach19, Caitrin W. McDonough16, Matthijs F.L. Meijs1, Olle Melander20, Christopher P. Nelson21, Christopher P. Nelson22, Ilja M. Nolte19, Nathan Pankratz23, Thomas S. Price, Jonathan A. Shaffer24, Sonia Shah25, Maciej Tomaszewski21, Peter J. van der Most19, Erik P A Van Iperen, Judith M. Vonk19, Kate Witkowska2, Caroline O. L. Wong2, Li Zhang11, Amber L. Beitelshees12, Gerald S. Berenson26, Deepak L. Bhatt27, Morris Brown28, Amber A. Burt29, Rhonda M. Cooper-DeHoff16, John M. C. Connell30, Karen J. Cruickshanks14, Sean P. Curtis31, George Davey-Smith15, Christian Delles9, Ron T. Gansevoort19, Xiuqing Guo32, Shen Haiqing12, Claire E. Hastie9, Marten H. Hofker19, Marten H. Hofker1, G. Kees Hovingh, Daniel Seung Kim29, Susan Kirkland33, Barbara E.K. Klein14, Ronald Klein14, Yun Li8, Steffi Maiwald, Christopher Newton-Cheh27, Eoin O'Brien34, N. Charlotte Onland-Moret1, Walter Palmas24, Afshin Parsa12, Brenda W.J.H. Penninx35, Mary Pettinger36, Ramachandran S. Vasan37, Jane E. Ranchalis29, Paul M. Ridker27, Lynda M. Rose27, Peter S. Sever38, Daichi Shimbo24, Laura Steele8, Ronald P. Stolk19, Barbara Thorand, Mieke D. Trip, Cornelia M. van Duijn17, W M Monique Verschuren1, Cisca Wijmenga19, Sharon B. Wyatt39, J. Hunter Young40, Aeilko H. Zwinderman, Connie R. Bezzina41, Eric Boerwinkle42, Juan P. Casas43, Mark J. Caulfield2, Aravinda Chakravarti40, Daniel I. Chasman27, Karina W. Davidson24, Pieter A. Doevendans1, Anna F. Dominiczak9, Garret A. FitzGerald8, John G. Gums16, Myriam Fornage42, Hakon Hakonarson8, Indrani Halder44, Hans L. Hillege19, Thomas Illig45, Gail P. Jarvik38, Julie A. Johnson16, John J.P. Kastelein, Wolfgang Koenig46, Meena Kumari25, Winfried März47, Sarah S. Murray7, Jeffrey R. O'Connell12, Albertine J. Oldehinkel19, James S. Pankow23, Daniel J. Rader8, Susan Redline27, Muredach P. Reilly8, Eric E. Schadt48, Kandice Kottke-Marchant11, Harold Snieder19, Michael Snyder10, Alice Stanton49, Martin D. Tobin21, André G. Uitterlinden17, Pim van der Harst19, Yvonne T. van der Schouw1, Nilesh J. Samani21, Nilesh J. Samani22, Hugh Watkins13, Andrew D. Johnson, Alexander P. Reiner36, Xiaofeng Zhu5, Paul I.W. de Bakker50, Daniel Levy, Folkert W. Asselbergs25, Folkert W. Asselbergs1, Patricia B. Munroe2, Brendan J. Keating8 
TL;DR: The findings extend the understanding of genes involved in BP regulation, which may provide new targets for therapeutic intervention or drug response stratification and provide support for a putative role in hypertension of several genes.
Abstract: Blood pressure (BP) is a heritable risk factor for cardiovascular disease To investigate genetic associations with systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP), we genotyped ~50,000 SNPs in up to 87,736 individuals of European ancestry and combined these in a meta-analysis We replicated findings in an independent set of 68,368 individuals of European ancestry Our analyses identified 11 previously undescribed associations in independent loci containing 31 genes including PDE1A, HLA-DQB1, CDK6, PRKAG2, VCL, H19, NUCB2, RELA, HOXC@ complex, FBN1, and NFAT5 at the Bonferroni-corrected array-wide significance threshold (p < 6 × 10(-7)) and confirmed 27 previously reported associations Bioinformatic analysis of the 11 loci provided support for a putative role in hypertension of several genes, such as CDK6 and NUCB2 Analysis of potential pharmacological targets in databases of small molecules showed that ten of the genes are predicted to be a target for small molecules In summary, we identified previously unknown loci associated with BP Our findings extend our understanding of genes involved in BP regulation, which may provide new targets for therapeutic intervention or drug response stratification

158 citations

Journal ArticleDOI
Gregory T. Jones, Gerard Tromp1, Helena Kuivaniemi1, Solveig Gretarsdottir2, Annette F. Baas3, Betti Giusti4, Ewa Strauss, Femke N G van 't Hof, Tom R. Webb5, Robert Erdman1, Marylyn D. Ritchie6, James R. Elmore7, Anurag Verma6, Sarah A. Pendergrass6, Iftikhar J. Kullo1, Zi Ye1, Peggy L. Peissig8, Omri Gottesman9, Omri Gottesman10, Shefali S. Verma6, Jennifer Malinowski11, Laura J. Rasmussen-Torvik12, Kenneth M. Borthwick1, Diane T. Smelser1, David R. Crosslin13, Mariza de Andrade1, Evan J. Ryer14, Catherine A. McCarty15, E.P. Bottinger9, Jennifer A. Pacheco12, Dana C. Crawford, David Carrell16, Glenn S. Gerhard17, David P. Franklin18, David J. Carey1, Victoria L Phillips, Michael J.A. Williams, Wenhua Wei, Ross D. Blair, Andrew Hill19, Thodor M. Vasudevan, David R. Lewis14, Ian Thomson, J Krysa, Geraldine B. Hill, Justin A. Roake, Tony R. Merriman20, Grzegorz Oszkinis, Silvia Galora4, Claudia Saracini4, Rosanna Abbate4, Rosanna Abbate2, Raffaele Pulli, Carlo Pratesi, Athanasios Saratzis5, Ana Raquel Verissimo5, Suzannah Bumpstead20, Stephen A. Badger21, Rachel E. Clough22, Gillian Cockerill23, Hany Hafez24, D. Julian A. Scott25, T. Simon Futers25, Simon P. R. Romaine25, Katherine I Bridge25, Kathryn J. Griffin25, Marc A. Bailey25, Alberto Smith, Matthew M. Thompson23, Frank M. van Bockxmeer26, Stefan E Matthiasson27, Gudmar Thorleifsson1, Gudmar Thorleifsson2, Unnur Thorsteinsdottir2, Jan D. Blankensteijn28, Joep A.W. Teijink29, Joep A.W. Teijink30, Cisca Wijmenga, Jacqueline de Graaf31, Lambertus A. Kiemeney31, Jes S. Lindholt32, Anne Hughes33, Declan Bradley, Kathleen Stirrups, Jonathan Golledge34, Paul Norman26, Janet T. Powell35, Steve E. Humphries5, Stephen E. Hamby36, Alison H. Goodall5, Christopher P. Nelson5, Natzi Sakalihasan37, Audrey Courtois4, Robert E. Ferrell38, Per Eriksson39, Lasse Folkersen39, Anders Franco-Cereceda, John D. Eicher40, Andrew D. Johnson40, Christer Betsholtz41, Arno Ruusalepp42, Arno Ruusalepp43, Oscar Franzén11, Oscar Franzén43, Eric E. Schadt11, Johan Björkegren, Leonard Lipovich40, Leonard Lipovich43, Anne M. Drolet, Eric L. G. Verhoeven44, Clark J. Zeebregts45, Robert H. Geelkerken31, Marc R.H.M. van Sambeek29, Steven M.M. van Sterkenburg, Jean-Paul P.M. de Vries, K. Stefansson2, John R. Thompson, Paul I.W. de Bakker3, Panos Deloukas, Robert D. Sayers, Seamus C. Harrison, Andre M. van Rij, Nilesh J. Samani5, Matthew J. Bown5 
TL;DR: The 4 new risk loci for AAA seem to be specific for AAA compared with other cardiovascular diseases and related traits suggesting that traditional cardiovascular risk factor management may only have limited value in preventing the progression of aneurysmal disease.
Abstract: RATIONALE: Abdominal aortic aneurysm (AAA) is a complex disease with both genetic and environmental risk factors. Together, 6 previously identified risk loci only explain a small proportion of the heritability of AAA. OBJECTIVE: To identify additional AAA risk loci using data from all available genome-wide association studies. METHODS AND RESULTS: Through a meta-analysis of 6 genome-wide association study data sets and a validation study totaling 10 204 cases and 107 766 controls, we identified 4 new AAA risk loci: 1q32.3 (SMYD2), 13q12.11 (LINC00540), 20q13.12 (near PCIF1/MMP9/ZNF335), and 21q22.2 (ERG). In various database searches, we observed no new associations between the lead AAA single nucleotide polymorphisms and coronary artery disease, blood pressure, lipids, or diabetes mellitus. Network analyses identified ERG, IL6R, and LDLR as modifiers of MMP9, with a direct interaction between ERG and MMP9. CONCLUSIONS: The 4 new risk loci for AAA seem to be specific for AAA compared with other cardiovascular diseases and related traits suggesting that traditional cardiovascular risk factor management may only have limited value in preventing the progression of aneurysmal disease.

158 citations

Journal ArticleDOI
TL;DR: The risk of endoscopy in patients on antithrombotics depends on the risks of procedural haemorrhage vs. thrombosis due to discontinuation of therapy.
Abstract: The risk of endoscopy in patients on antithrombotics depends on the risks of procedural haemorrhage vs. thrombosis due to discontinuation of therapy. P2Y12 receptor antagonists (clopidogrel, prasugrel, ticagrelor): For low-risk endoscopic procedures we recommend continuing P2Y12 receptor antagonists as single or dual antiplatelet therapy (low quality evidence, strong recommendation); For high-risk endoscopic procedures in patients at low thrombotic risk, we recommend discontinuing P2Y12 receptor antagonists five days before the procedure (moderate quality evidence, strong recommendation). In patients on dual antiplatelet therapy, we suggest continuing aspirin (low quality evidence, weak recommendation). For high-risk endoscopic procedures in patients at high thrombotic risk, we recommend continuing aspirin and liaising with a cardiologist about the risk/benefit of discontinuation of P2Y12 receptor antagonists (high quality evidence, strong recommendation). Warfarin: The advice for warfarin is fundamentally unchanged from BSG 2008 guidance. Direct Oral Anticoagulants (DOAC): For low-risk endoscopic procedures we suggest omitting the morning dose of DOAC on the day of the procedure (very low quality evidence, weak recommendation). For high-risk endoscopic procedures, we recommend that the last dose of DOAC be taken ≥ 48 hours before the procedure (very low quality evidence, strong recommendation). For patients on dabigatran with CrCl (or estimated glomerular filtration rate, eGFR) of 30 – 50 mL/min we recommend that the last dose of DOAC be taken 72 hours before the procedure (very low quality evidence, strong recommendation). In any patient with rapidly deteriorating renal function a haematologist should be consulted (low quality evidence, strong recommendation).

158 citations


Authors

Showing all 1385 results

NameH-indexPapersCitations
Nilesh J. Samani149779113545
Daniel I. Chasman13448472180
Massimo Mangino11636984902
Ian D. Pavord10857547691
Christopher E. Brightling10355244358
Ulf Gyllensten10036859219
Pim van der Harst9951742777
Andrew J. Wardlaw9231133721
Kenneth J. O'Byrne8762939193
Paul Burton8541842766
Bryan Williams8245440798
Marylyn D. Ritchie8045932559
John R. Thompson7820250475
Maria G. Belvisi7326916021
Martin D. Tobin7221834028
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20228
2021124
2020104
201996
201891
201789