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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
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.
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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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