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How to integrate personalized medicine into prevention? recommendations from the personalized prevention of chronic diseases (precedi) consortium

  • Stefania Boccia
  • , Roberta Pastorino
  • , Walter Ricciardi
  • , Róza Ádány
  • , Floris Barnhoorn
  • , Paolo Boffetta
  • , Martina C. Cornel
  • , Corrado De Vito
  • , Muir Gray
  • , Anant Jani
  • , Michael Lang
  • , Jim Roldan
  • , Annalisa Rosso
  • , José Manuel Sánchez
  • , Cornelia M. Van Dujin
  • , Carla G. Van El
  • , Paolo Villari
  • , Ma'n H. Zawati
  • Catholic University of the Sacred Heart
  • Fondazione Policlinico Universitario A.Gemelli IRCS
  • University of Debrecen
  • European Public Health Association
  • VU University Medical Center
  • University of Rome La Sapienza
  • Better Value Health Care
  • University of Oxford
  • McGill University
  • LINKCARE HEALTH SERVICES SL
  • Erasmus University Rotterdam

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Medical practitioners are increasingly adopting a personalized medicine (PM) approach involving individually tailored patient care. The Personalized Prevention of Chronic Diseases (PRECeDI) consortium project, funded within the Marie Skłodowska Curie Action (MSCA) Research and Innovation Staff Exchange (RISE) scheme, had fostered collaboration on PM research and training with special emphasis on the prevention of chronic diseases. From 2014 to 2018, the PRECeDI consortium trained 50 staff members on personalized prevention of chronic diseases through training and research. The acquisition of skills from researchers came from dedicated secondments from academic and nonacademic institutions aimed at training on several research topics related to personalized prevention of cancer and cardiovascular and neurodegenerative diseases. In detail, 5 research domains were addressed: (1) identification and validation of biomarkers for the primary prevention of cardiovascular diseases, secondary prevention of Alzheimer disease, and tertiary prevention of head and neck cancer; (2) economic evaluation of genomic applications; (3) ethical-legal and policy issues surrounding PM; (4) sociotechnical analysis of the pros and cons of informing healthy individuals on their genome; and (5) identification of organizational models for the provision of predictive genetic testing. Based on the results of the research carried out by the PRECeDI consortium, in November 2018, a set of recommendations for policy makers, scientists, and industry has been issued, with the main goal to foster the integration of PM approaches in the field of chronic disease prevention.

Original languageEnglish
Pages (from-to)208-214
Number of pages7
JournalPublic Health Genomics
Volume22
Issue number5-6
DOIs
StatePublished - Feb 1 2020

Keywords

  • Chronic diseases
  • Personalized medicine
  • Prevention
  • Recommendations

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