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Variant Classification Concordance using the ACMG-AMP Variant Interpretation Guidelines across Nine Genomic Implementation Research Studies.
Amendola, Laura M; Muenzen, Kathleen; Biesecker, Leslie G; Bowling, Kevin M; Cooper, Greg M; Dorschner, Michael O; Driscoll, Catherine; Foreman, Ann Katherine M; Golden-Grant, Katie; Greally, John M; Hindorff, Lucia; Kanavy, Dona; Jobanputra, Vaidehi; Johnston, Jennifer J; Kenny, Eimear E; McNulty, Shannon; Murali, Priyanka; Ou, Jeffrey; Powell, Bradford C; Rehm, Heidi L; Rolf, Bradley; Roman, Tamara S; Van Ziffle, Jessica; Guha, Saurav; Abhyankar, Avinash; Crosslin, David; Venner, Eric; Yuan, Bo; Zouk, Hana; Jarvik, Gail P.
Affiliation
  • Amendola LM; Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle, WA 98195, USA. Electronic address: lauraa7@uw.edu.
  • Muenzen K; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, USA.
  • Biesecker LG; Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
  • Bowling KM; Hudson Alpha Institute for Biotechnology, Huntsville, AL 35806, USA.
  • Cooper GM; Hudson Alpha Institute for Biotechnology, Huntsville, AL 35806, USA.
  • Dorschner MO; Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle, WA 98195, USA.
  • Driscoll C; Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
  • Foreman AKM; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Golden-Grant K; Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle, WA 98195, USA.
  • Greally JM; Albert Einstein College of Medicine, Bronx, NY 10461, USA.
  • Hindorff L; Division of Genomic Medicine, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
  • Kanavy D; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Jobanputra V; New York Genome Center, New York, NY 10013, USA; Columbia University Medical Center, New York, NY 10032, USA.
  • Johnston JJ; Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
  • Kenny EE; Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
  • McNulty S; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Murali P; Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle, WA 98195, USA.
  • Ou J; Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle, WA 98195, USA.
  • Powell BC; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Rehm HL; Massachusetts General Hospital and the Broad Institute of MIT and Harvard, Boston, MA 02142, USA.
  • Rolf B; Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle, WA 98195, USA.
  • Roman TS; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Van Ziffle J; Department of Pathology, Institute for Human Genetics, University of California, San Francisco, San Francisco, CA 94143, USA.
  • Guha S; New York Genome Center, New York, NY 10013, USA.
  • Abhyankar A; New York Genome Center, New York, NY 10013, USA.
  • Crosslin D; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, USA.
  • Venner E; Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
  • Yuan B; Department of Molecular and Human Genetics, Baylor College of Medicine, Baylor Genetics, Houston, TX 77030, USA.
  • Zouk H; Department of Pathology, Massachusetts General Hospital, Harvard Medical School and Laboratory for Molecular Medicine, Partners HealthCare Personalized Medicine, Boston, MA 02139, USA.
  • Jarvik GP; Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle, WA 98195, USA.
Am J Hum Genet ; 107(5): 932-941, 2020 11 05.
Article in En | MEDLINE | ID: mdl-33108757
Harmonization of variant pathogenicity classification across laboratories is important for advancing clinical genomics. The two CLIA-accredited Electronic Medical Record and Genomics Network sequencing centers and the six CLIA-accredited laboratories and one research laboratory performing genome or exome sequencing in the Clinical Sequencing Evidence-Generating Research Consortium collaborated to explore current sources of discordance in classification. Eight laboratories each submitted 20 classified variants in the ACMG secondary finding v.2.0 genes. After removing duplicates, each of the 158 variants was annotated and independently classified by two additional laboratories using the ACMG-AMP guidelines. Overall concordance across three laboratories was assessed and discordant variants were reviewed via teleconference and email. The submitted variant set included 28 P/LP variants, 96 VUS, and 34 LB/B variants, mostly in cancer (40%) and cardiac (27%) risk genes. Eighty-six (54%) variants reached complete five-category (i.e., P, LP, VUS, LB, B) concordance, and 17 (11%) had a discordance that could affect clinical recommendations (P/LP versus VUS/LB/B). 21% and 63% of variants submitted as P and LP, respectively, were discordant with VUS. Of the 54 originally discordant variants that underwent further review, 32 reached agreement, for a post-review concordance rate of 84% (118/140 variants). This project provides an updated estimate of variant concordance, identifies considerations for LP classified variants, and highlights ongoing sources of discordance. Continued and increased sharing of variant classifications and evidence across laboratories, and the ongoing work of ClinGen to provide general as well as gene- and disease-specific guidance, will lead to continued increases in concordance.
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Full text: 1 Database: MEDLINE Main subject: Genetic Variation / Cardiovascular Diseases / Genomics / Laboratories / Neoplasms Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Humans Language: En Journal: Am J Hum Genet Year: 2020 Type: Article

Full text: 1 Database: MEDLINE Main subject: Genetic Variation / Cardiovascular Diseases / Genomics / Laboratories / Neoplasms Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Humans Language: En Journal: Am J Hum Genet Year: 2020 Type: Article