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Public health genomics and personalized prevention: lessons from the COGS project

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...

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Detalles Bibliográficos
Autores principales: Pashayan, N, Hall, A, Chowdhury, S, Dent, T, Pharoah, P D P, Burton, H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4283043/
https://www.ncbi.nlm.nih.gov/pubmed/24127941
http://dx.doi.org/10.1111/joim.12094
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author Pashayan, N
Hall, A
Chowdhury, S
Dent, T
Pharoah, P D P
Burton, H
author_facet Pashayan, N
Hall, A
Chowdhury, S
Dent, T
Pharoah, P D P
Burton, H
author_sort Pashayan, N
collection PubMed
description 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.
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spelling pubmed-42830432015-01-15 Public health genomics and personalized prevention: lessons from the COGS project Pashayan, N Hall, A Chowdhury, S Dent, T Pharoah, P D P Burton, H J Intern Med Symposium: Cogs Symposium 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. BlackWell Publishing Ltd 2013-11 2013-10-16 /pmc/articles/PMC4283043/ /pubmed/24127941 http://dx.doi.org/10.1111/joim.12094 Text en © 2013 The Authors. Journal of Internal Medicine published by John Wiley & Sons Ltd on behalf of The Association for the Publication of the Journal of Internal Medicine. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Symposium: Cogs Symposium
Pashayan, N
Hall, A
Chowdhury, S
Dent, T
Pharoah, P D P
Burton, H
Public health genomics and personalized prevention: lessons from the COGS project
title Public health genomics and personalized prevention: lessons from the COGS project
title_full Public health genomics and personalized prevention: lessons from the COGS project
title_fullStr Public health genomics and personalized prevention: lessons from the COGS project
title_full_unstemmed Public health genomics and personalized prevention: lessons from the COGS project
title_short Public health genomics and personalized prevention: lessons from the COGS project
title_sort public health genomics and personalized prevention: lessons from the cogs project
topic Symposium: Cogs Symposium
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4283043/
https://www.ncbi.nlm.nih.gov/pubmed/24127941
http://dx.doi.org/10.1111/joim.12094
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