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Development of a clinical polygenic risk score assay and reporting workflow
Implementation of polygenic risk scores (PRS) may improve disease prevention and management but poses several challenges: the construction of clinically valid assays, interpretation for individual patients, and the development of clinical workflows and resources to support their use in patient care....
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117136/ https://www.ncbi.nlm.nih.gov/pubmed/35437332 http://dx.doi.org/10.1038/s41591-022-01767-6 |
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author | Hao, Limin Kraft, Peter Berriz, Gabriel F. Hynes, Elizabeth D. Koch, Christopher Korategere V Kumar, Prathik Parpattedar, Shruti S. Steeves, Marcie Yu, Wanfeng Antwi, Ashley A. Brunette, Charles A. Danowski, Morgan Gala, Manish K. Green, Robert C. Jones, Natalie E. Lewis, Anna C. F. Lubitz, Steven A. Natarajan, Pradeep Vassy, Jason L. Lebo, Matthew S. |
author_facet | Hao, Limin Kraft, Peter Berriz, Gabriel F. Hynes, Elizabeth D. Koch, Christopher Korategere V Kumar, Prathik Parpattedar, Shruti S. Steeves, Marcie Yu, Wanfeng Antwi, Ashley A. Brunette, Charles A. Danowski, Morgan Gala, Manish K. Green, Robert C. Jones, Natalie E. Lewis, Anna C. F. Lubitz, Steven A. Natarajan, Pradeep Vassy, Jason L. Lebo, Matthew S. |
author_sort | Hao, Limin |
collection | PubMed |
description | Implementation of polygenic risk scores (PRS) may improve disease prevention and management but poses several challenges: the construction of clinically valid assays, interpretation for individual patients, and the development of clinical workflows and resources to support their use in patient care. For the ongoing Veterans Affairs Genomic Medicine at Veterans Affairs (GenoVA) Study we developed a clinical genotype array-based assay for six published PRS. We used data from 36,423 Mass General Brigham Biobank participants and adjustment for population structure to replicate known PRS–disease associations and published PRS thresholds for a disease odds ratio (OR) of 2 (ranging from 1.75 (95% CI: 1.57–1.95) for type 2 diabetes to 2.38 (95% CI: 2.07–2.73) for breast cancer). After confirming the high performance and robustness of the pipeline for use as a clinical assay for individual patients, we analyzed the first 227 prospective samples from the GenoVA Study and found that the frequency of PRS corresponding to published OR > 2 ranged from 13/227 (5.7%) for colorectal cancer to 23/150 (15.3%) for prostate cancer. In addition to the PRS laboratory report, we developed physician- and patient-oriented informational materials to support decision-making about PRS results. Our work illustrates the generalizable development of a clinical PRS assay for multiple conditions and the technical, reporting and clinical workflow challenges for implementing PRS information in the clinic. |
format | Online Article Text |
id | pubmed-9117136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-91171362022-05-20 Development of a clinical polygenic risk score assay and reporting workflow Hao, Limin Kraft, Peter Berriz, Gabriel F. Hynes, Elizabeth D. Koch, Christopher Korategere V Kumar, Prathik Parpattedar, Shruti S. Steeves, Marcie Yu, Wanfeng Antwi, Ashley A. Brunette, Charles A. Danowski, Morgan Gala, Manish K. Green, Robert C. Jones, Natalie E. Lewis, Anna C. F. Lubitz, Steven A. Natarajan, Pradeep Vassy, Jason L. Lebo, Matthew S. Nat Med Article Implementation of polygenic risk scores (PRS) may improve disease prevention and management but poses several challenges: the construction of clinically valid assays, interpretation for individual patients, and the development of clinical workflows and resources to support their use in patient care. For the ongoing Veterans Affairs Genomic Medicine at Veterans Affairs (GenoVA) Study we developed a clinical genotype array-based assay for six published PRS. We used data from 36,423 Mass General Brigham Biobank participants and adjustment for population structure to replicate known PRS–disease associations and published PRS thresholds for a disease odds ratio (OR) of 2 (ranging from 1.75 (95% CI: 1.57–1.95) for type 2 diabetes to 2.38 (95% CI: 2.07–2.73) for breast cancer). After confirming the high performance and robustness of the pipeline for use as a clinical assay for individual patients, we analyzed the first 227 prospective samples from the GenoVA Study and found that the frequency of PRS corresponding to published OR > 2 ranged from 13/227 (5.7%) for colorectal cancer to 23/150 (15.3%) for prostate cancer. In addition to the PRS laboratory report, we developed physician- and patient-oriented informational materials to support decision-making about PRS results. Our work illustrates the generalizable development of a clinical PRS assay for multiple conditions and the technical, reporting and clinical workflow challenges for implementing PRS information in the clinic. Nature Publishing Group US 2022-04-18 2022 /pmc/articles/PMC9117136/ /pubmed/35437332 http://dx.doi.org/10.1038/s41591-022-01767-6 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hao, Limin Kraft, Peter Berriz, Gabriel F. Hynes, Elizabeth D. Koch, Christopher Korategere V Kumar, Prathik Parpattedar, Shruti S. Steeves, Marcie Yu, Wanfeng Antwi, Ashley A. Brunette, Charles A. Danowski, Morgan Gala, Manish K. Green, Robert C. Jones, Natalie E. Lewis, Anna C. F. Lubitz, Steven A. Natarajan, Pradeep Vassy, Jason L. Lebo, Matthew S. Development of a clinical polygenic risk score assay and reporting workflow |
title | Development of a clinical polygenic risk score assay and reporting workflow |
title_full | Development of a clinical polygenic risk score assay and reporting workflow |
title_fullStr | Development of a clinical polygenic risk score assay and reporting workflow |
title_full_unstemmed | Development of a clinical polygenic risk score assay and reporting workflow |
title_short | Development of a clinical polygenic risk score assay and reporting workflow |
title_sort | development of a clinical polygenic risk score assay and reporting workflow |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117136/ https://www.ncbi.nlm.nih.gov/pubmed/35437332 http://dx.doi.org/10.1038/s41591-022-01767-6 |
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