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Public health genomics and personalized prevention: lessons from the COGS project
Author(s) -
Pashayan N.,
Hall A.,
Chowdhury S.,
Dent T.,
Pharoah P. D. P.,
Burton H.
Publication year - 2013
Publication title -
journal of internal medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.625
H-Index - 160
eISSN - 1365-2796
pISSN - 0954-6820
DOI - 10.1111/joim.12094
Subject(s) - personalized medicine , medicine , genomics , public health , precision medicine , polygenic risk score , population , population stratification , data science , environmental health , bioinformatics , genetics , genome , computer science , nursing , biology , single nucleotide polymorphism , pathology , genotype , gene
Abstract Using the principles of public health genomics, we examined the opportunities and challenges of implementing personalized prevention programmes for cancer at the population level. Our model‐based estimates indicate that polygenic risk stratification can potentially improve the effectiveness and cost‐effectiveness of screening programmes. However, compared with ‘one‐size‐fits‐all’ screening programmes, personalized screening adds further layers of complexity to the organization of screening services and raises ethical, legal and social challenges. Before polygenic inheritance is translated into population screening strategy, evidence from empirical research and engagement with and education of the public and the health professionals are needed.