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Explaining, not just predicting, drives interest in personal genomics

BACKGROUND: There is a widespread assumption that risk prediction is the major driver of customer interest in personal genomic testing (PGT). However, some customers may also be motivated by finding out whether their existing diseases have a genetic etiology. We evaluated the impact of an existing m...

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Autores principales: Meisel, Susanne F., Carere, Deanna Alexis, Wardle, Jane, Kalia, Sarah S., Moreno, Tanya A., Mountain, Joanna L., Roberts, J. Scott, Green, Robert C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4533947/
https://www.ncbi.nlm.nih.gov/pubmed/26269719
http://dx.doi.org/10.1186/s13073-015-0188-5
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author Meisel, Susanne F.
Carere, Deanna Alexis
Wardle, Jane
Kalia, Sarah S.
Moreno, Tanya A.
Mountain, Joanna L.
Roberts, J. Scott
Green, Robert C.
author_facet Meisel, Susanne F.
Carere, Deanna Alexis
Wardle, Jane
Kalia, Sarah S.
Moreno, Tanya A.
Mountain, Joanna L.
Roberts, J. Scott
Green, Robert C.
author_sort Meisel, Susanne F.
collection PubMed
description BACKGROUND: There is a widespread assumption that risk prediction is the major driver of customer interest in personal genomic testing (PGT). However, some customers may also be motivated by finding out whether their existing diseases have a genetic etiology. We evaluated the impact of an existing medical diagnosis on customer interest in condition-specific results from PGT. METHODS: Using a prospective online survey of PGT customers, we measured customer interest prior to receiving PGT results for 11 health conditions, and examined the association between interest and personal medical history of these conditions using logistic regression. RESULTS: We analyzed data from 1,538 PGT customers, mean age 48.7 years, 61 % women, 90 % White, and 47 % college educated. The proportion of customers who were ‘very interested’ in condition-specific PGT varied considerably, from 28 % for ulcerative colitis to 68% for heart disease. After adjusting for demographic and personal characteristics including family history, having a diagnosis of the condition itself was significantly associated with interest in genetic testing for risk of that condition, with odds ratios ranging from 2.07 (95 % CI 1.28-3.37) for diabetes to 19.99 (95 % CI 4.57-87.35) for multiple sclerosis. CONCLUSIONS: PGT customers are particularly interested in genetic markers for their existing medical conditions, suggesting that the value of genetic testing is not only predictive, but also explanatory. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0188-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-45339472015-08-13 Explaining, not just predicting, drives interest in personal genomics Meisel, Susanne F. Carere, Deanna Alexis Wardle, Jane Kalia, Sarah S. Moreno, Tanya A. Mountain, Joanna L. Roberts, J. Scott Green, Robert C. Genome Med Research BACKGROUND: There is a widespread assumption that risk prediction is the major driver of customer interest in personal genomic testing (PGT). However, some customers may also be motivated by finding out whether their existing diseases have a genetic etiology. We evaluated the impact of an existing medical diagnosis on customer interest in condition-specific results from PGT. METHODS: Using a prospective online survey of PGT customers, we measured customer interest prior to receiving PGT results for 11 health conditions, and examined the association between interest and personal medical history of these conditions using logistic regression. RESULTS: We analyzed data from 1,538 PGT customers, mean age 48.7 years, 61 % women, 90 % White, and 47 % college educated. The proportion of customers who were ‘very interested’ in condition-specific PGT varied considerably, from 28 % for ulcerative colitis to 68% for heart disease. After adjusting for demographic and personal characteristics including family history, having a diagnosis of the condition itself was significantly associated with interest in genetic testing for risk of that condition, with odds ratios ranging from 2.07 (95 % CI 1.28-3.37) for diabetes to 19.99 (95 % CI 4.57-87.35) for multiple sclerosis. CONCLUSIONS: PGT customers are particularly interested in genetic markers for their existing medical conditions, suggesting that the value of genetic testing is not only predictive, but also explanatory. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0188-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-08-01 /pmc/articles/PMC4533947/ /pubmed/26269719 http://dx.doi.org/10.1186/s13073-015-0188-5 Text en © Meisel et al. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Meisel, Susanne F.
Carere, Deanna Alexis
Wardle, Jane
Kalia, Sarah S.
Moreno, Tanya A.
Mountain, Joanna L.
Roberts, J. Scott
Green, Robert C.
Explaining, not just predicting, drives interest in personal genomics
title Explaining, not just predicting, drives interest in personal genomics
title_full Explaining, not just predicting, drives interest in personal genomics
title_fullStr Explaining, not just predicting, drives interest in personal genomics
title_full_unstemmed Explaining, not just predicting, drives interest in personal genomics
title_short Explaining, not just predicting, drives interest in personal genomics
title_sort explaining, not just predicting, drives interest in personal genomics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4533947/
https://www.ncbi.nlm.nih.gov/pubmed/26269719
http://dx.doi.org/10.1186/s13073-015-0188-5
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