Exploring diseases/traits and blood proteins causally related to expression of ACE2, the putative receptor of 2019-nCov: A Mendelian Randomization analysis
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BiBTeXThe novel coronavirus 2019-nCoV has caused major outbreaks in many parts of the world. A better understanding of the pathophysiology of COVID-19 is urgently needed. Clinically, it is important to identify who may be susceptible to infection and identify treatments for the disease.
SEEK ID: https://fairdomhub.org/publications/495
DOI: 10.1101/2020.03.04.20031237
Projects: COVID-19 Disease Map
Publication type: Tech report
Citation: medrxiv;2020.03.04.20031237v1,[Preprint]
Date Published: 8th Mar 2020
URL: http://medrxiv.org/lookup/doi/10.1101/2020.03.04.20031237
Registered Mode: imported from a bibtex file
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Created: 8th Apr 2020 at 20:13
Last updated: 8th Dec 2022 at 17:26
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Projects: FAIRDOM, GMDS Project Group "FAIRe Dateninfrastrukturen für die Biomedizinische Informatik", COVID-19 Disease Map, COVID-19 related studies and tools in Germany, nfdi4health - German National Research Data Infrastructure for Personal Health Data, LiSyM Core Infrastructure and Management (LiSyM-PD), ModeleXchange initiative, SDBV/HITS, EDITH (Ecosystem Digital Twins in Health) test project
Institutions: Heidelberg Institute for Theoretical Studies (HITS gGmbH)
https://orcid.org/0000-0002-8318-3222
The Disease Maps Project is designed as a large-scale community effort. It is a network of groups that work together in order to better understand disease mechanisms. The project exchanges best practices, share information, develop tools to make it easier for all the involved groups to achieve their goals.
Projects: COVID-19 Disease Map
Web page: https://disease-maps.org
Here we share resources and best practices to develop a disease map for COVID-19. The project is progressing as a broad community-driven effort. We aim to establish a knowledge repository on virus-host interaction mechanisms specific to the SARS-CoV-2. The COVID-19 Disease Map is an assembly of molecular interaction diagrams established based on literature evidence.
Programme: Disease Maps
Public web page: http://doi.org/10.17881/covid19-disease-map
