Cargando…

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....

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
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
_version_ 1784710265396264960
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
work_keys_str_mv AT haolimin developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT kraftpeter developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT berrizgabrielf developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT hyneselizabethd developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT kochchristopher developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT korategerevkumarprathik developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT parpattedarshrutis developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT steevesmarcie developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT yuwanfeng developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT antwiashleya developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT brunettecharlesa developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT danowskimorgan developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT galamanishk developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT greenrobertc developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT jonesnataliee developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT lewisannacf developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT lubitzstevena developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT natarajanpradeep developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT vassyjasonl developmentofaclinicalpolygenicriskscoreassayandreportingworkflow
AT lebomatthews developmentofaclinicalpolygenicriskscoreassayandreportingworkflow