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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.
Affiliation
  • Harrison SM; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Austin-Tse CA; Laboratory for Molecular Medicine, Mass General Brigham, Boston, Massachusetts, USA.
  • Kim S; Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Lebo M; Color Health, Burlingame, California, USA.
  • Leon A; Laboratory for Molecular Medicine, Mass General Brigham, Boston, Massachusetts, USA.
  • Murdock D; Color Health, Burlingame, California, USA.
  • Radhakrishnan A; Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA.
  • Shirts BH; University of Washington Medical Center, Seattle, Washington, USA.
  • Steeves M; University of Washington Medical Center, Seattle, Washington, USA.
  • Venner E; Laboratory for Molecular Medicine, Mass General Brigham, Boston, Massachusetts, USA.
  • Gibbs RA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA.
  • Jarvik GP; Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA.
  • Rehm HL; University of Washington Medical Center, Seattle, Washington, USA.
Hum Mutat ; 43(8): 1114-1121, 2022 08.
Article in En | MEDLINE | ID: mdl-34923710
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.
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Full text: 1 Database: MEDLINE Main subject: Genome, Human / Population Health Type of study: Prognostic_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Hum Mutat Journal subject: GENETICA MEDICA Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Genome, Human / Population Health Type of study: Prognostic_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Hum Mutat Journal subject: GENETICA MEDICA Year: 2022 Type: Article Affiliation country: United States