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The 1+Million Genomes Minimal Dataset for Cancer

  • Michela Riba
  • , Cinzia Sala
  • , Aedin C. Culhane
  • , Åsmund Flobak
  • , Attila Patocs
  • , Kjetil Boye
  • , Karla Plevova
  • , Šárka Pospíšilová
  • , Giorgia Gandolfi
  • , Marco J. Morelli
  • , Gabriele Bucci
  • , Anders Edsjö
  • , Ulrik Lassen
  • , F. tima Al-Shahrour
  • , Nuria Lopez-Bigas
  • , Randi Hovland
  • , Edwin Cuppen
  • , Alfonso Valencia
  • , Helene A. Poirel
  • , Richard Rosenquist
  • Serena Scollen, Juan Arenas Marquez, Jeroen Belien, Arcangela de Nicolo, Ruggero de Maria, David Torrents, Giovanni Tonon*
*Corresponding author for this work
  • From the Neuroimaging Research Unit, Division of Neuroscience (P.P.), and Neurology Unite (P.P.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Department of Anatomy and Neurosciences (M.M.S.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands
  • University of Limerick
  • Norwegian University of Science and Technology
  • SINTEF
  • National Institute of Oncology
  • Semmelweis University
  • Oslo University Hospital
  • Masaryk University
  • Scania Regional Council
  • Lund University
  • DANBIO
  • Centro Nacional de Investigaciones Oncológicas
  • ICREA
  • University of Bergen
  • Utrecht University
  • Hartwig Medical Foundation
  • Cancer Centre
  • Karolinska Institutet
  • Karolinska University Hospital
  • Hinxton
  • Catholic University of the Sacred Heart
  • Fondazione Policlinico Universitario Agostino Gemelli IRCCS
  • Vita-Salute San Raffaele University

Research output: Contribution to journalComment/Letter to the editorAcademic

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Abstract

Defining minimal standards for data collection is key to creating interoperative, searchable genomic and clinical databases. We highlight here the 1+Million Genomes Minimal Dataset for Cancer, encompassing 140 items in 8 domains to foster the collection of cancer data, inform transnational cooperation and advance precision cancer medicine.
Original languageEnglish
Pages (from-to)733-736
Number of pages4
JournalNature genetics
Volume56
Issue number5
Early online date3 May 2024
DOIs
Publication statusPublished - May 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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