How to Integrate Personalized Medicine into Prevention? Recommendations from the Personalized Prevention of Chronic Diseases (PRECeDI) Consortium

IF 1.3 4区 医学 Q4 GENETICS & HEREDITY Public Health Genomics Pub Date : 2019-12-05 DOI:10.1159/000504652
S. Boccia, R. Pastorino, W. Ricciardi, R. Ádány, F. Barnhoorn, P. Boffetta, M. Cornel, C. De Vito, M. Gray, A. Jani, Michael Lang, J. Roldan, A. Rosso, J. Sánchez, Cornelia M Van Dujin, C. V. van El, P. Villari, M. Zawati
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引用次数: 23

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.
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如何将个性化医疗融入预防?个性化慢性病预防联盟的建议
医生越来越多地采用个性化医疗(PM)方法,包括个性化的患者护理。在Marie Skłodowska Curie Action(MSCA)研究和创新人员交流(RISE)计划内资助的个性化慢性病预防联盟项目促进了PM研究和培训方面的合作,特别强调慢性病的预防。2014年至2018年,PRECeDI联合会通过培训和研究,对50名工作人员进行了慢性病个性化预防培训。研究人员获得的技能来自学术和非学术机构的专门借调,目的是就与癌症、心血管和神经退行性疾病的个性化预防相关的几个研究主题进行培训。具体而言,涉及5个研究领域:(1)用于心血管疾病一级预防、阿尔茨海默病二级预防和癌症头颈部三级预防的生物标志物的鉴定和验证;(2) 基因组应用的经济评估;(3) 围绕PM的道德法律和政策问题;(4) 对健康个体基因组信息的利弊进行社会技术分析;以及(5)确定提供预测性基因检测的组织模式。根据PRECeDI联盟的研究结果,2018年11月,针对政策制定者、科学家和行业发布了一系列建议,主要目标是促进PM方法在慢性病预防领域的整合。
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来源期刊
Public Health Genomics
Public Health Genomics 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.90
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍: ''Public Health Genomics'' is the leading international journal focusing on the timely translation of genome-based knowledge and technologies into public health, health policies, and healthcare as a whole. This peer-reviewed journal is a bimonthly forum featuring original papers, reviews, short communications, and policy statements. It is supplemented by topic-specific issues providing a comprehensive, holistic and ''all-inclusive'' picture of the chosen subject. Multidisciplinary in scope, it combines theoretical and empirical work from a range of disciplines, notably public health, molecular and medical sciences, the humanities and social sciences. In so doing, it also takes into account rapid scientific advances from fields such as systems biology, microbiomics, epigenomics or information and communication technologies as well as the hight potential of ''big data'' for public health.
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