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Best practices for the analytical validation of clinical whole-genome sequencing intended for the diagnosis of germline disease
Whole-genome sequencing (WGS) has shown promise in becoming a first-tier diagnostic test for patients with rare genetic disorders; however, standards addressing the definition and deployment practice of a best-in-class test are lacking. To address these gaps, the Medical Genome Initiative, a consort...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585436/ https://www.ncbi.nlm.nih.gov/pubmed/33110627 http://dx.doi.org/10.1038/s41525-020-00154-9 |
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author | Marshall, Christian R. Chowdhury, Shimul Taft, Ryan J. Lebo, Mathew S. Buchan, Jillian G. Harrison, Steven M. Rowsey, Ross Klee, Eric W. Liu, Pengfei Worthey, Elizabeth A. Jobanputra, Vaidehi Dimmock, David Kearney, Hutton M. Bick, David Kulkarni, Shashikant Taylor, Stacie L. Belmont, John W. Stavropoulos, Dimitri J. Lennon, Niall J. |
author_facet | Marshall, Christian R. Chowdhury, Shimul Taft, Ryan J. Lebo, Mathew S. Buchan, Jillian G. Harrison, Steven M. Rowsey, Ross Klee, Eric W. Liu, Pengfei Worthey, Elizabeth A. Jobanputra, Vaidehi Dimmock, David Kearney, Hutton M. Bick, David Kulkarni, Shashikant Taylor, Stacie L. Belmont, John W. Stavropoulos, Dimitri J. Lennon, Niall J. |
author_sort | Marshall, Christian R. |
collection | PubMed |
description | Whole-genome sequencing (WGS) has shown promise in becoming a first-tier diagnostic test for patients with rare genetic disorders; however, standards addressing the definition and deployment practice of a best-in-class test are lacking. To address these gaps, the Medical Genome Initiative, a consortium of leading healthcare and research organizations in the US and Canada, was formed to expand access to high-quality clinical WGS by publishing best practices. Here, we present consensus recommendations on clinical WGS analytical validation for the diagnosis of individuals with suspected germline disease with a focus on test development, upfront considerations for test design, test validation practices, and metrics to monitor test performance. This work also provides insight into the current state of WGS testing at each member institution, including the utilization of reference and other standards across sites. Importantly, members of this initiative strongly believe that clinical WGS is an appropriate first-tier test for patients with rare genetic disorders, and at minimum is ready to replace chromosomal microarray analysis and whole-exome sequencing. The recommendations presented here should reduce the burden on laboratories introducing WGS into clinical practice, and support safe and effective WGS testing for diagnosis of germline disease. |
format | Online Article Text |
id | pubmed-7585436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75854362020-10-26 Best practices for the analytical validation of clinical whole-genome sequencing intended for the diagnosis of germline disease Marshall, Christian R. Chowdhury, Shimul Taft, Ryan J. Lebo, Mathew S. Buchan, Jillian G. Harrison, Steven M. Rowsey, Ross Klee, Eric W. Liu, Pengfei Worthey, Elizabeth A. Jobanputra, Vaidehi Dimmock, David Kearney, Hutton M. Bick, David Kulkarni, Shashikant Taylor, Stacie L. Belmont, John W. Stavropoulos, Dimitri J. Lennon, Niall J. NPJ Genom Med Review Article Whole-genome sequencing (WGS) has shown promise in becoming a first-tier diagnostic test for patients with rare genetic disorders; however, standards addressing the definition and deployment practice of a best-in-class test are lacking. To address these gaps, the Medical Genome Initiative, a consortium of leading healthcare and research organizations in the US and Canada, was formed to expand access to high-quality clinical WGS by publishing best practices. Here, we present consensus recommendations on clinical WGS analytical validation for the diagnosis of individuals with suspected germline disease with a focus on test development, upfront considerations for test design, test validation practices, and metrics to monitor test performance. This work also provides insight into the current state of WGS testing at each member institution, including the utilization of reference and other standards across sites. Importantly, members of this initiative strongly believe that clinical WGS is an appropriate first-tier test for patients with rare genetic disorders, and at minimum is ready to replace chromosomal microarray analysis and whole-exome sequencing. The recommendations presented here should reduce the burden on laboratories introducing WGS into clinical practice, and support safe and effective WGS testing for diagnosis of germline disease. Nature Publishing Group UK 2020-10-23 /pmc/articles/PMC7585436/ /pubmed/33110627 http://dx.doi.org/10.1038/s41525-020-00154-9 Text en © The Author(s) 2020 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/. |
spellingShingle | Review Article Marshall, Christian R. Chowdhury, Shimul Taft, Ryan J. Lebo, Mathew S. Buchan, Jillian G. Harrison, Steven M. Rowsey, Ross Klee, Eric W. Liu, Pengfei Worthey, Elizabeth A. Jobanputra, Vaidehi Dimmock, David Kearney, Hutton M. Bick, David Kulkarni, Shashikant Taylor, Stacie L. Belmont, John W. Stavropoulos, Dimitri J. Lennon, Niall J. Best practices for the analytical validation of clinical whole-genome sequencing intended for the diagnosis of germline disease |
title | Best practices for the analytical validation of clinical whole-genome sequencing intended for the diagnosis of germline disease |
title_full | Best practices for the analytical validation of clinical whole-genome sequencing intended for the diagnosis of germline disease |
title_fullStr | Best practices for the analytical validation of clinical whole-genome sequencing intended for the diagnosis of germline disease |
title_full_unstemmed | Best practices for the analytical validation of clinical whole-genome sequencing intended for the diagnosis of germline disease |
title_short | Best practices for the analytical validation of clinical whole-genome sequencing intended for the diagnosis of germline disease |
title_sort | best practices for the analytical validation of clinical whole-genome sequencing intended for the diagnosis of germline disease |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585436/ https://www.ncbi.nlm.nih.gov/pubmed/33110627 http://dx.doi.org/10.1038/s41525-020-00154-9 |
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