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Life insurance: genomic stratification and risk classification
With the development and increasing accessibility of new genomic tools such as next-generation sequencing, genome-wide association studies, and genomic stratification models, the debate on genetic discrimination in the context of life insurance became even more complex, requiring a review of current...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3992580/ https://www.ncbi.nlm.nih.gov/pubmed/24129434 http://dx.doi.org/10.1038/ejhg.2013.228 |
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author | Joly, Yann Burton, Hilary Knoppers, Bartha Maria Feze, Ida Ngueng Dent, Tom Pashayan, Nora Chowdhury, Susmita Foulkes, William Hall, Alison Hamet, Pavel Kirwan, Nick Macdonald, Angus Simard, Jacques Van Hoyweghen, Ine |
author_facet | Joly, Yann Burton, Hilary Knoppers, Bartha Maria Feze, Ida Ngueng Dent, Tom Pashayan, Nora Chowdhury, Susmita Foulkes, William Hall, Alison Hamet, Pavel Kirwan, Nick Macdonald, Angus Simard, Jacques Van Hoyweghen, Ine |
author_sort | Joly, Yann |
collection | PubMed |
description | With the development and increasing accessibility of new genomic tools such as next-generation sequencing, genome-wide association studies, and genomic stratification models, the debate on genetic discrimination in the context of life insurance became even more complex, requiring a review of current practices and the exploration of new scenarios. In this perspective, a multidisciplinary group of international experts representing different interests revisited the genetics and life insurance debate during a 2-day symposium ‘Life insurance: breast cancer research and genetic risk prediction seminar' held in Quebec City, Canada on 24 and 25 September 2012. Having reviewed the current legal, social, and ethical issues on the use of genomic information in the context of life insurance, the Expert Group identified four main questions: (1) Have recent developments in genomics and related sciences changed the contours of the genetics and life insurance debate? (2) Are genomic results obtained in a research context relevant for life insurance underwriting? (3) Should predictive risk assessment and risk stratification models based on genomic data also be used for life insurance underwriting? (4) What positive actions could stakeholders in the debate take to alleviate concerns over the use of genomic information by life insurance underwriters? This paper presents a summary of the discussions and the specific action items recommended by the Expert Group. |
format | Online Article Text |
id | pubmed-3992580 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-39925802014-05-01 Life insurance: genomic stratification and risk classification Joly, Yann Burton, Hilary Knoppers, Bartha Maria Feze, Ida Ngueng Dent, Tom Pashayan, Nora Chowdhury, Susmita Foulkes, William Hall, Alison Hamet, Pavel Kirwan, Nick Macdonald, Angus Simard, Jacques Van Hoyweghen, Ine Eur J Hum Genet Policy With the development and increasing accessibility of new genomic tools such as next-generation sequencing, genome-wide association studies, and genomic stratification models, the debate on genetic discrimination in the context of life insurance became even more complex, requiring a review of current practices and the exploration of new scenarios. In this perspective, a multidisciplinary group of international experts representing different interests revisited the genetics and life insurance debate during a 2-day symposium ‘Life insurance: breast cancer research and genetic risk prediction seminar' held in Quebec City, Canada on 24 and 25 September 2012. Having reviewed the current legal, social, and ethical issues on the use of genomic information in the context of life insurance, the Expert Group identified four main questions: (1) Have recent developments in genomics and related sciences changed the contours of the genetics and life insurance debate? (2) Are genomic results obtained in a research context relevant for life insurance underwriting? (3) Should predictive risk assessment and risk stratification models based on genomic data also be used for life insurance underwriting? (4) What positive actions could stakeholders in the debate take to alleviate concerns over the use of genomic information by life insurance underwriters? This paper presents a summary of the discussions and the specific action items recommended by the Expert Group. Nature Publishing Group 2014-05 2013-10-16 /pmc/articles/PMC3992580/ /pubmed/24129434 http://dx.doi.org/10.1038/ejhg.2013.228 Text en Copyright © 2014 Macmillan Publishers Limited http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Policy Joly, Yann Burton, Hilary Knoppers, Bartha Maria Feze, Ida Ngueng Dent, Tom Pashayan, Nora Chowdhury, Susmita Foulkes, William Hall, Alison Hamet, Pavel Kirwan, Nick Macdonald, Angus Simard, Jacques Van Hoyweghen, Ine Life insurance: genomic stratification and risk classification |
title | Life insurance: genomic stratification and risk classification |
title_full | Life insurance: genomic stratification and risk classification |
title_fullStr | Life insurance: genomic stratification and risk classification |
title_full_unstemmed | Life insurance: genomic stratification and risk classification |
title_short | Life insurance: genomic stratification and risk classification |
title_sort | life insurance: genomic stratification and risk classification |
topic | Policy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3992580/ https://www.ncbi.nlm.nih.gov/pubmed/24129434 http://dx.doi.org/10.1038/ejhg.2013.228 |
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