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Design and user experience testing of a polygenic score report: a qualitative study of prospective users

BACKGROUND: Polygenic scores—which quantify inherited risk by integrating information from many common sites of DNA variation—may enable a tailored approach to clinical medicine. However, alongside considerable enthusiasm, we and others have highlighted a lack of standardized approaches for score di...

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Autores principales: Brockman, Deanna G., Petronio, Lia, Dron, Jacqueline S., Kwon, Bum Chul, Vosburg, Trish, Nip, Lisa, Tang, Andrew, O’Reilly, Mary, Lennon, Niall, Wong, Bang, Ng, Kenney, Huang, Katherine H., Fahed, Akl C., Khera, Amit V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485114/
https://www.ncbi.nlm.nih.gov/pubmed/34598685
http://dx.doi.org/10.1186/s12920-021-01056-0
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author Brockman, Deanna G.
Petronio, Lia
Dron, Jacqueline S.
Kwon, Bum Chul
Vosburg, Trish
Nip, Lisa
Tang, Andrew
O’Reilly, Mary
Lennon, Niall
Wong, Bang
Ng, Kenney
Huang, Katherine H.
Fahed, Akl C.
Khera, Amit V.
author_facet Brockman, Deanna G.
Petronio, Lia
Dron, Jacqueline S.
Kwon, Bum Chul
Vosburg, Trish
Nip, Lisa
Tang, Andrew
O’Reilly, Mary
Lennon, Niall
Wong, Bang
Ng, Kenney
Huang, Katherine H.
Fahed, Akl C.
Khera, Amit V.
author_sort Brockman, Deanna G.
collection PubMed
description BACKGROUND: Polygenic scores—which quantify inherited risk by integrating information from many common sites of DNA variation—may enable a tailored approach to clinical medicine. However, alongside considerable enthusiasm, we and others have highlighted a lack of standardized approaches for score disclosure. Here, we review the landscape of polygenic score reporting and describe a generalizable approach for development of a polygenic score disclosure tool for coronary artery disease. METHODS: We assembled a working group of clinicians, geneticists, data visualization specialists, and software developers. The group reviewed existing polygenic score reports and then designed a two-page mock report for coronary artery disease. We then conducted a qualitative user-experience study with this report using an interview guide focused on comprehension, experience, and attitudes. Interviews were transcribed and analyzed for themes identification to inform report revision. RESULTS: Review of nine existing polygenic score reports from commercial and academic groups demonstrated significant heterogeneity, reinforcing the need for additional efforts to study and standardize score disclosure. Using a newly developed mock score report, we conducted interviews with ten adult individuals (50% females, 70% without prior genetic testing experience, age range 20–70 years) recruited via an online platform. We identified three themes from interviews: (1) visual elements, such as color and simple graphics, enable participants to interpret, relate to, and contextualize their polygenic score, (2) word-based descriptions of risk and polygenic scores presented as percentiles were the best recognized and understood, (3) participants had varying levels of interest in understanding complex genomic information and therefore would benefit from additional resources that can adapt to their individual needs in real time. In response to user feedback, colors used for communicating risk were modified to minimize unintended color associations and odds ratios were removed. All 10 participants expressed interest in receiving a polygenic score report based on their personal genomic information. CONCLUSIONS: Our findings describe a generalizable approach to develop a polygenic score report understandable by potential patients. Although additional studies are needed across a wider spectrum of patient populations, these results are likely to inform ongoing efforts related to polygenic score disclosure within clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-021-01056-0.
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spelling pubmed-84851142021-10-01 Design and user experience testing of a polygenic score report: a qualitative study of prospective users Brockman, Deanna G. Petronio, Lia Dron, Jacqueline S. Kwon, Bum Chul Vosburg, Trish Nip, Lisa Tang, Andrew O’Reilly, Mary Lennon, Niall Wong, Bang Ng, Kenney Huang, Katherine H. Fahed, Akl C. Khera, Amit V. BMC Med Genomics Research Article BACKGROUND: Polygenic scores—which quantify inherited risk by integrating information from many common sites of DNA variation—may enable a tailored approach to clinical medicine. However, alongside considerable enthusiasm, we and others have highlighted a lack of standardized approaches for score disclosure. Here, we review the landscape of polygenic score reporting and describe a generalizable approach for development of a polygenic score disclosure tool for coronary artery disease. METHODS: We assembled a working group of clinicians, geneticists, data visualization specialists, and software developers. The group reviewed existing polygenic score reports and then designed a two-page mock report for coronary artery disease. We then conducted a qualitative user-experience study with this report using an interview guide focused on comprehension, experience, and attitudes. Interviews were transcribed and analyzed for themes identification to inform report revision. RESULTS: Review of nine existing polygenic score reports from commercial and academic groups demonstrated significant heterogeneity, reinforcing the need for additional efforts to study and standardize score disclosure. Using a newly developed mock score report, we conducted interviews with ten adult individuals (50% females, 70% without prior genetic testing experience, age range 20–70 years) recruited via an online platform. We identified three themes from interviews: (1) visual elements, such as color and simple graphics, enable participants to interpret, relate to, and contextualize their polygenic score, (2) word-based descriptions of risk and polygenic scores presented as percentiles were the best recognized and understood, (3) participants had varying levels of interest in understanding complex genomic information and therefore would benefit from additional resources that can adapt to their individual needs in real time. In response to user feedback, colors used for communicating risk were modified to minimize unintended color associations and odds ratios were removed. All 10 participants expressed interest in receiving a polygenic score report based on their personal genomic information. CONCLUSIONS: Our findings describe a generalizable approach to develop a polygenic score report understandable by potential patients. Although additional studies are needed across a wider spectrum of patient populations, these results are likely to inform ongoing efforts related to polygenic score disclosure within clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-021-01056-0. BioMed Central 2021-10-01 /pmc/articles/PMC8485114/ /pubmed/34598685 http://dx.doi.org/10.1186/s12920-021-01056-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Brockman, Deanna G.
Petronio, Lia
Dron, Jacqueline S.
Kwon, Bum Chul
Vosburg, Trish
Nip, Lisa
Tang, Andrew
O’Reilly, Mary
Lennon, Niall
Wong, Bang
Ng, Kenney
Huang, Katherine H.
Fahed, Akl C.
Khera, Amit V.
Design and user experience testing of a polygenic score report: a qualitative study of prospective users
title Design and user experience testing of a polygenic score report: a qualitative study of prospective users
title_full Design and user experience testing of a polygenic score report: a qualitative study of prospective users
title_fullStr Design and user experience testing of a polygenic score report: a qualitative study of prospective users
title_full_unstemmed Design and user experience testing of a polygenic score report: a qualitative study of prospective users
title_short Design and user experience testing of a polygenic score report: a qualitative study of prospective users
title_sort design and user experience testing of a polygenic score report: a qualitative study of prospective users
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485114/
https://www.ncbi.nlm.nih.gov/pubmed/34598685
http://dx.doi.org/10.1186/s12920-021-01056-0
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