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Best practices for the interpretation and reporting of clinical whole genome sequencing
Whole genome sequencing (WGS) shows promise as 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 leadin...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993917/ https://www.ncbi.nlm.nih.gov/pubmed/35395838 http://dx.doi.org/10.1038/s41525-022-00295-z |
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author | Austin-Tse, Christina A. Jobanputra, Vaidehi Perry, Denise L. Bick, David Taft, Ryan J. Venner, Eric Gibbs, Richard A. Young, Ted Barnett, Sarah Belmont, John W. Boczek, Nicole Chowdhury, Shimul Ellsworth, Katarzyna A. Guha, Saurav Kulkarni, Shashikant Marcou, Cherisse Meng, Linyan Murdock, David R. Rehman, Atteeq U. Spiteri, Elizabeth Thomas-Wilson, Amanda Kearney, Hutton M. Rehm, Heidi L. |
author_facet | Austin-Tse, Christina A. Jobanputra, Vaidehi Perry, Denise L. Bick, David Taft, Ryan J. Venner, Eric Gibbs, Richard A. Young, Ted Barnett, Sarah Belmont, John W. Boczek, Nicole Chowdhury, Shimul Ellsworth, Katarzyna A. Guha, Saurav Kulkarni, Shashikant Marcou, Cherisse Meng, Linyan Murdock, David R. Rehman, Atteeq U. Spiteri, Elizabeth Thomas-Wilson, Amanda Kearney, Hutton M. Rehm, Heidi L. |
author_sort | Austin-Tse, Christina A. |
collection | PubMed |
description | Whole genome sequencing (WGS) shows promise as 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 health care and research organizations in the US and Canada, was formed to expand access to high quality clinical WGS by convening experts and publishing best practices. Here, we present best practice recommendations for the interpretation and reporting of clinical diagnostic WGS, including discussion of challenges and emerging approaches that will be critical to harness the full potential of this comprehensive test. |
format | Online Article Text |
id | pubmed-8993917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89939172022-04-27 Best practices for the interpretation and reporting of clinical whole genome sequencing Austin-Tse, Christina A. Jobanputra, Vaidehi Perry, Denise L. Bick, David Taft, Ryan J. Venner, Eric Gibbs, Richard A. Young, Ted Barnett, Sarah Belmont, John W. Boczek, Nicole Chowdhury, Shimul Ellsworth, Katarzyna A. Guha, Saurav Kulkarni, Shashikant Marcou, Cherisse Meng, Linyan Murdock, David R. Rehman, Atteeq U. Spiteri, Elizabeth Thomas-Wilson, Amanda Kearney, Hutton M. Rehm, Heidi L. NPJ Genom Med Review Article Whole genome sequencing (WGS) shows promise as 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 health care and research organizations in the US and Canada, was formed to expand access to high quality clinical WGS by convening experts and publishing best practices. Here, we present best practice recommendations for the interpretation and reporting of clinical diagnostic WGS, including discussion of challenges and emerging approaches that will be critical to harness the full potential of this comprehensive test. Nature Publishing Group UK 2022-04-08 /pmc/articles/PMC8993917/ /pubmed/35395838 http://dx.doi.org/10.1038/s41525-022-00295-z Text en © The Author(s) 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 | Review Article Austin-Tse, Christina A. Jobanputra, Vaidehi Perry, Denise L. Bick, David Taft, Ryan J. Venner, Eric Gibbs, Richard A. Young, Ted Barnett, Sarah Belmont, John W. Boczek, Nicole Chowdhury, Shimul Ellsworth, Katarzyna A. Guha, Saurav Kulkarni, Shashikant Marcou, Cherisse Meng, Linyan Murdock, David R. Rehman, Atteeq U. Spiteri, Elizabeth Thomas-Wilson, Amanda Kearney, Hutton M. Rehm, Heidi L. Best practices for the interpretation and reporting of clinical whole genome sequencing |
title | Best practices for the interpretation and reporting of clinical whole genome sequencing |
title_full | Best practices for the interpretation and reporting of clinical whole genome sequencing |
title_fullStr | Best practices for the interpretation and reporting of clinical whole genome sequencing |
title_full_unstemmed | Best practices for the interpretation and reporting of clinical whole genome sequencing |
title_short | Best practices for the interpretation and reporting of clinical whole genome sequencing |
title_sort | best practices for the interpretation and reporting of clinical whole genome sequencing |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993917/ https://www.ncbi.nlm.nih.gov/pubmed/35395838 http://dx.doi.org/10.1038/s41525-022-00295-z |
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