Cancer is increasingly prevalent in society and the efforts of the research community, doctors and administrations to find solutions to this disease are huge. However, it cannot be treated in a uniform way, as there are more than 200 types of cancer. In addition, the disease in each patient is...
Coordinator: Núria López-Bigas (IRB Barcelona, Spain)
Tissue Aware GWAS to study genetic cancer predisposition
A plethora of experimental and computational methods have flourished since the advent of Chromosome Conformation Capture (3C) in 2002, which allow now a wide-spread use of technologies to study genome organization in space and time (the so-called 4DNucleome). The CNAG-CRG's Structural Genomics...
Coordinator: Marc A. Marti-Renom (CNAG-CRG)
Shortening the path to rare disease diagnosis by using newborn genetic screening and digital technologies
Screen4Care will use a multi-pronged strategy to shorten the time to diagnosis and treatment for patients with rare diseases: - Genetic newborn screening: The project will drive newborn screening (using genetic testing and related advanced genomic technologies), which is anticipated to be an...
Coordinator: Alessandra Ferlini (University of Ferrara, Italy); Nicolas Garnier (Pfizer)
The goal of the CGI is to develop, implement, and disseminate imaging, analysis, and modeling technologies that will elucidate how genomes, in their entirety, are organized and function in three dimensions (3D). The project aims to: - Develop strategies to massively scale imaging methods.   -...
Coordinator: Ting Wu (Harvard Medical School, USA)
Charting SARS-CoV-2 entry factors in human tissues
The project aims to perform a comprehensive analysis of how tissues including the nasal mucosa, lung, gut and kidney are susceptible to infection. Holger Heyn, leader of the Single Cell Genomics team at the CNAG-CRG, will carry out single-cell resolved characterization of different cell populations...
Coordinator: Meritxell Genescà (VHIR), Joaquín Burgos (Vall d’Hebron Hospital)
An omnigenic view of genetic susceptibility to severe COVID19
Marc A. Martí Renom, ICREA Research Professor and Strucutral Genomics Group leader at CNAG-CRG, will lead efforts to identify the genetic determinants that underlie the variation in severity for people with Covid-19. Working alongside Ángel Carracedo (Universidade de Santiago de Compostela) and...
Coordinator: Marc A. Marti-Renom (CNAG-CRG)

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