Vincent Mooser

ORCID: 0000-0001-7906-2391
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About
Contact & Profiles
Research Areas
  • COVID-19 Clinical Research Studies
  • SARS-CoV-2 and COVID-19 Research
  • Cancer, Lipids, and Metabolism
  • SARS-CoV-2 detection and testing
  • Gut microbiota and health
  • Genetic Associations and Epidemiology
  • Oral microbiology and periodontitis research
  • Climate Change and Health Impacts
  • Ethics in Clinical Research
  • Diabetes and associated disorders
  • Biosensors and Analytical Detection
  • Lipid metabolism and disorders
  • Single-cell and spatial transcriptomics
  • Protease and Inhibitor Mechanisms
  • Lipoproteins and Cardiovascular Health
  • Bone and Dental Protein Studies
  • Yersinia bacterium, plague, ectoparasites research
  • Regulation of Appetite and Obesity
  • Tryptophan and brain disorders
  • Biochemical Analysis and Sensing Techniques
  • Hedgehog Signaling Pathway Studies
  • Artificial Intelligence in Healthcare and Education
  • interferon and immune responses
  • Long-Term Effects of COVID-19
  • Cardiac Health and Mental Health

McGill University
2020-2025

McGill Genome Centre
2025

University Hospital of Lausanne
2014

University of Lausanne
2014

GlaxoSmithKline (United Kingdom)
2012

GlaxoSmithKline (United States)
2003-2008

Philadelphia University
2004-2005

Hôpital Orthopédique de la Suisse Romande
2001

Ruth J. F. Loos Cecilia M. Lindgren Shengxu Li Eleanor Wheeler Jing Hua Zhao and 95 more Inga Prokopenko Michael Inouye Rachel M. Freathy Antony Attwood J. Beckmann Sonja I Berndt Sven Bergmann Amanda J. Bennett Sheila Bingham Murielle Bochud Matthew A. Brown Stéphane Cauchi John Connell Cyrus Cooper George Davey Smith Ian N.M. Day Christian Dina Subhajyoti De Emmanouil T. Dermitzakis Alex S. F. Doney Katherine S. Elliott Paul Elliott David M. Evans I. Sadaf Farooqi Philippe Froguel Jilur Ghori Christopher J. Groves Rhian Gwilliam David Hadley Alistair S. Hall Andrew T. Hattersley Johannes Hebebrand Iris M. Heid Blanca Herrera Anke Hinney Sarah Hunt Marjo‐Riitta Järvelin Toby Johnson Jennifer D M Jolley Fredrik Karpe Andrew Keniry Kay-Tee Khaw Robert Luben Massimo Mangino Jonathan Marchini Wendy L. McArdle Ralph McGinnis Stephen Eyre Patricia B. Munroe Andrew D Morris Andy Ness Matthew Neville Alexandra C. Nica Ken K. Ong Stephen O’Rahilly Katharine R. Owen Colin N. A. Palmer Konstantinos A. Papadakis Simon Potter Anneli Pouta Lu Qi Joshua C. Randall Nigel W. Rayner Susan M. Ring Manjinder S. Sandhu André Scherag Matthew Sims Kijoung Song Nicole Soranzo Elizabeth K. Speliotes Holly Syddall Sarah A. Teichmann Nicholas J. Timpson Jonathan H. Tobias Manuela Uda Carla Ivane Ganz Vogel Chris Wallace Dawn Waterworth Michael N. Weedon Cristen J. Willer Vicki Wraight Xin Yuan Eleftheria Zeggini Joel N. Hirschhorn David P. Strachan Willem H. Ouwehand Mark J. Caulfield Nilesh J. Samani Timothy M. Frayling Péter Vollenweider Gérard Waeber Vincent Mooser Panos Deloukas Mark I. McCarthy Nicholas J. Wareham

10.1038/ng.140 article EN Nature Genetics 2008-05-04

Abstract Background Particulate air pollution is associated with increased risk of cardiovascular disease and stroke. Although the precise mechanisms underlying this association are still unclear, induction systemic inflammation following particle inhalation represents a plausible mechanistic pathway. Methods We used baseline data from CoLaus Study including 6183 adult participants residing in Lausanne, Switzerland. analyzed short-term exposure to PM 10 (on day examination visit) continuous...

10.1186/1743-8977-9-24 article EN cc-by Particle and Fibre Toxicology 2012-07-06

Metabolic traits are molecular phenotypes that can drive clinical and may predict disease progression. Here, we report results from a metabolome- genome-wide association study on 1H-NMR urine metabolic profiles. The was conducted within an untargeted approach, employing novel method for compound identification. From our discovery cohort of 835 Caucasian individuals who participated in the CoLaus study, identified 139 suggestively significant (P<5×10−8) independent associations between single...

10.1371/journal.pgen.1004132 article EN cc-by PLoS Genetics 2014-02-20

SARS-CoV-2 infection causing the novel coronavirus disease 2019 (COVID–19) has been responsible for more than 2.8 million deaths and nearly 125 infections worldwide as of March 2021. In 2020, World Health Organization determined that COVID–19 outbreak is a global pandemic. The urgency magnitude this pandemic demanded immediate action coordination between local, regional, national, international actors. mission, researchers require access to high-quality biological materials data from...

10.1371/journal.pone.0245031 article EN cc-by PLoS ONE 2021-05-19

Abstract Predicting COVID-19 severity is difficult, and the biological pathways involved are not fully understood. To approach this problem, we measured 4701 circulating human protein abundances in two independent cohorts totaling 986 individuals. We then trained prediction models including clinical risk factors to predict 417 subjects tested these a separate cohort of 569 For severe COVID-19, baseline model age sex provided an area under receiver operator curve (AUC) 65% test cohort....

10.1038/s41598-023-31850-y article EN cc-by Scientific Reports 2023-04-17

Abstract Proteins detectable in peripheral blood may influence COVID-19 susceptibility or severity. However, understanding which circulating proteins are etiologically involved is difficult because their levels be influenced by itself and also subject to confounding factors. To identify influencing severity we undertook a large-scale two-sample Mendelian randomization (MR) study, since this study design can rapidly scan hundreds of reduces bias due reverse causation confounding. We...

10.1101/2020.10.13.20212092 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2020-10-14

Abstract Predicting COVID-19 severity is difficult, and the biological pathways involved are not fully understood. To approach this problem, we measured 4,701 circulating human protein abundances in two independent cohorts totaling 986 individuals. We then trained prediction models including clinical risk factors to predict adverse outcomes 417 subjects tested these a separate cohort of 569 For severe COVID-19, baseline model age sex provided an area under receiver operator curve (AUC) 65%...

10.1101/2021.10.04.21264015 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2021-10-05

<h3>Background</h3> Patients with rheumatic diseases have an excess in cardiovascular morbidity and mortality, suggesting the presence of common pathogenic abnormalities for both atherosclerosis arthritis. One particularly atherogenic apolipoprotein, apo (a), homologue plasminogen, may be involved by competing plasminogen fibrin binding interfering fibrinolysis. <h3>Objectives</h3> To study expression (a) arthritic joints. <h3>Methods</h3> Human studies: synovial fluid plasma from patients...

10.1136/annrheumdis-2001.979 article EN Annals of the Rheumatic Diseases 2001-06-01
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