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Harmonizing variant classification for return of results in the All of Us Research Program
The All of Us Research Program (AoURP) is a historic effort to accelerate research and improve healthcare by generating and collating data from one million people in the United States. Participants will have the option to receive results from their genome analysis, including actionable findings in 5...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206690/ https://www.ncbi.nlm.nih.gov/pubmed/34923710 http://dx.doi.org/10.1002/humu.24317 |
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author | Harrison, Steven M. Austin‐Tse, Christina A. Kim, Serra Lebo, Matthew Leon, Annette Murdock, David Radhakrishnan, Aparna Shirts, Brian H. Steeves, Marcie Venner, Eric Gibbs, Richard A. Jarvik, Gail P. Rehm, Heidi L. |
author_facet | Harrison, Steven M. Austin‐Tse, Christina A. Kim, Serra Lebo, Matthew Leon, Annette Murdock, David Radhakrishnan, Aparna Shirts, Brian H. Steeves, Marcie Venner, Eric Gibbs, Richard A. Jarvik, Gail P. Rehm, Heidi L. |
author_sort | Harrison, Steven M. |
collection | PubMed |
description | The All of Us Research Program (AoURP) is a historic effort to accelerate research and improve healthcare by generating and collating data from one million people in the United States. Participants will have the option to receive results from their genome analysis, including actionable findings in 59 gene‐disorder pairs for which disorder‐associated variants are recommended for return by the American College of Medical Genetics and Genomics. To ensure consistent reporting across the AoURP, in a prelaunch study the four participating clinical laboratories shared all variant classifications in the 59 genes of interest from their internal databases. Of the 11,813 unique variants classified by at least two of the four laboratories, classifications were concordant with regard to reportability for 99.1% (11,711), with only 0.9% (102) having reportability differences. Through variant reassessment, data sharing, and discussion of rationale, participating laboratories resolved all 102 reportable differences. These approaches will be maintained during routine AoU reporting to ensure continuous classification harmonization and consistent reporting within AoURP. |
format | Online Article Text |
id | pubmed-9206690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92066902022-10-14 Harmonizing variant classification for return of results in the All of Us Research Program Harrison, Steven M. Austin‐Tse, Christina A. Kim, Serra Lebo, Matthew Leon, Annette Murdock, David Radhakrishnan, Aparna Shirts, Brian H. Steeves, Marcie Venner, Eric Gibbs, Richard A. Jarvik, Gail P. Rehm, Heidi L. Hum Mutat Research Articles The All of Us Research Program (AoURP) is a historic effort to accelerate research and improve healthcare by generating and collating data from one million people in the United States. Participants will have the option to receive results from their genome analysis, including actionable findings in 59 gene‐disorder pairs for which disorder‐associated variants are recommended for return by the American College of Medical Genetics and Genomics. To ensure consistent reporting across the AoURP, in a prelaunch study the four participating clinical laboratories shared all variant classifications in the 59 genes of interest from their internal databases. Of the 11,813 unique variants classified by at least two of the four laboratories, classifications were concordant with regard to reportability for 99.1% (11,711), with only 0.9% (102) having reportability differences. Through variant reassessment, data sharing, and discussion of rationale, participating laboratories resolved all 102 reportable differences. These approaches will be maintained during routine AoU reporting to ensure continuous classification harmonization and consistent reporting within AoURP. John Wiley and Sons Inc. 2021-12-28 2022-08 /pmc/articles/PMC9206690/ /pubmed/34923710 http://dx.doi.org/10.1002/humu.24317 Text en © 2021 The Authors. Human Mutation published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Harrison, Steven M. Austin‐Tse, Christina A. Kim, Serra Lebo, Matthew Leon, Annette Murdock, David Radhakrishnan, Aparna Shirts, Brian H. Steeves, Marcie Venner, Eric Gibbs, Richard A. Jarvik, Gail P. Rehm, Heidi L. Harmonizing variant classification for return of results in the All of Us Research Program |
title | Harmonizing variant classification for return of results in the All of Us Research Program |
title_full | Harmonizing variant classification for return of results in the All of Us Research Program |
title_fullStr | Harmonizing variant classification for return of results in the All of Us Research Program |
title_full_unstemmed | Harmonizing variant classification for return of results in the All of Us Research Program |
title_short | Harmonizing variant classification for return of results in the All of Us Research Program |
title_sort | harmonizing variant classification for return of results in the all of us research program |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206690/ https://www.ncbi.nlm.nih.gov/pubmed/34923710 http://dx.doi.org/10.1002/humu.24317 |
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