Literature DB >> 28782058

Consistency of BRCA1 and BRCA2 Variant Classifications Among Clinical Diagnostic Laboratories.

Stephen E Lincoln1, Shan Yang1, Melissa S Cline2, Yuya Kobayashi1, Can Zhang2, Scott Topper1, David Haussler2, Benedict Paten2, Robert L Nussbaum1,3.   

Abstract

BACKGROUND: Genetic tests of the cancer predisposition genes BRCA1 and BRCA2 inform significant clinical decisions for both physicians and patients. Most uncovered variants are benign, and determining which few are pathogenic (disease-causing) is sometimes challenging and can potentially be inconsistent among laboratories. The ClinVar database makes de-identified clinical variant classifications from multiple laboratories publicly available for comparison and review, per recommendations of the American Medical Association (AMA), the American College of Medical Genetics (ACMG), the National Society for Genetic Counselors (NSGC), and other organizations.
METHODS: Classifications of more than 2000 BRCA1/2 variants in ClinVar representing approximately 22,000 patients were dichotomized as clinically actionable or not actionable and compared across up to seven laboratories. The properties of these variants and classification differences were investigated in detail.
RESULTS: Per-variant concordance was 98.5% (CI 97.9%-99.0%). All discordant variants were rare; thus, per patient concordance was estimated to be higher: 99.7%. ClinVar facilitated resolution of many of the discordant variants, and concordance increased to 99.0% per variant and 99.8% per patient when reclassified (but not yet resubmitted) variants and submission errors were addressed. Most of the remaining discordances appeared to involve either legitimate differences in expert judgment regarding particular scientific evidence, or were classifications that predated availability of important scientific evidence.
CONCLUSIONS: Significant classification disagreements among the professional clinical laboratories represented in ClinVar are infrequent yet important. The unrestricted sharing of clinical genetic data allows detailed interlaboratory quality control and peer review, as exemplified by this study.

Entities:  

Year:  2017        PMID: 28782058      PMCID: PMC5542009          DOI: 10.1200/PO.16.00020

Source DB:  PubMed          Journal:  JCO Precis Oncol        ISSN: 2473-4284


  42 in total

1.  A comprehensive laboratory-based program for classification of variants of uncertain significance in hereditary cancer genes.

Authors:  J M Eggington; K R Bowles; K Moyes; S Manley; L Esterling; S Sizemore; E Rosenthal; A Theisen; J Saam; C Arnell; D Pruss; J Bennett; L A Burbidge; B Roa; R J Wenstrup
Journal:  Clin Genet       Date:  2013-12-20       Impact factor: 4.438

2.  Diagnostic concordance among pathologists interpreting breast biopsy specimens.

Authors:  Joann G Elmore; Gary M Longton; Patricia A Carney; Berta M Geller; Tracy Onega; Anna N A Tosteson; Heidi D Nelson; Margaret S Pepe; Kimberly H Allison; Stuart J Schnitt; Frances P O'Malley; Donald L Weaver
Journal:  JAMA       Date:  2015-03-17       Impact factor: 56.272

3.  A Systematic Comparison of Traditional and Multigene Panel Testing for Hereditary Breast and Ovarian Cancer Genes in More Than 1000 Patients.

Authors:  Stephen E Lincoln; Yuya Kobayashi; Michael J Anderson; Shan Yang; Andrea J Desmond; Meredith A Mills; Geoffrey B Nilsen; Kevin B Jacobs; Federico A Monzon; Allison W Kurian; James M Ford; Leif W Ellisen
Journal:  J Mol Diagn       Date:  2015-07-22       Impact factor: 5.568

4.  ClinGen--the Clinical Genome Resource.

Authors:  Heidi L Rehm; Jonathan S Berg; Lisa D Brooks; Carlos D Bustamante; James P Evans; Melissa J Landrum; David H Ledbetter; Donna R Maglott; Christa Lese Martin; Robert L Nussbaum; Sharon E Plon; Erin M Ramos; Stephen T Sherry; Michael S Watson
Journal:  N Engl J Med       Date:  2015-05-27       Impact factor: 91.245

Review 5.  General mutation databases: analysis and review.

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Journal:  J Med Genet       Date:  2007-09-24       Impact factor: 6.318

6.  Development and validation of a new algorithm for the reclassification of genetic variants identified in the BRCA1 and BRCA2 genes.

Authors:  Dmitry Pruss; Brian Morris; Elisha Hughes; Julie M Eggington; Lisa Esterling; Brandon S Robinson; Aric van Kan; Priscilla H Fernandes; Benjamin B Roa; Alexander Gutin; Richard J Wenstrup; Karla R Bowles
Journal:  Breast Cancer Res Treat       Date:  2014-08-02       Impact factor: 4.872

7.  A global reference for human genetic variation.

Authors:  Adam Auton; Lisa D Brooks; Richard M Durbin; Erik P Garrison; Hyun Min Kang; Jan O Korbel; Jonathan L Marchini; Shane McCarthy; Gil A McVean; Gonçalo R Abecasis
Journal:  Nature       Date:  2015-10-01       Impact factor: 49.962

8.  Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results.

Authors:  Sharon E Plon; Diana M Eccles; Douglas Easton; William D Foulkes; Maurizio Genuardi; Marc S Greenblatt; Frans B L Hogervorst; Nicoline Hoogerbrugge; Amanda B Spurdle; Sean V Tavtigian
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

9.  The next controversy in genetic testing: clinical data as trade secrets?

Authors:  Robert Cook-Deegan; John M Conley; James P Evans; Daniel Vorhaus
Journal:  Eur J Hum Genet       Date:  2012-11-14       Impact factor: 4.246

10.  ClinVar: public archive of relationships among sequence variation and human phenotype.

Authors:  Melissa J Landrum; Jennifer M Lee; George R Riley; Wonhee Jang; Wendy S Rubinstein; Deanna M Church; Donna R Maglott
Journal:  Nucleic Acids Res       Date:  2013-11-14       Impact factor: 16.971

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  10 in total

1.  Variant Classification Concordance using the ACMG-AMP Variant Interpretation Guidelines across Nine Genomic Implementation Research Studies.

Authors:  Laura M Amendola; Kathleen Muenzen; Leslie G Biesecker; Kevin M Bowling; Greg M Cooper; Michael O Dorschner; Catherine Driscoll; Ann Katherine M Foreman; Katie Golden-Grant; John M Greally; Lucia Hindorff; Dona Kanavy; Vaidehi Jobanputra; Jennifer J Johnston; Eimear E Kenny; Shannon McNulty; Priyanka Murali; Jeffrey Ou; Bradford C Powell; Heidi L Rehm; Bradley Rolf; Tamara S Roman; Jessica Van Ziffle; Saurav Guha; Avinash Abhyankar; David Crosslin; Eric Venner; Bo Yuan; Hana Zouk; Gail P Jarvik
Journal:  Am J Hum Genet       Date:  2020-10-26       Impact factor: 11.025

2.  Scaling resolution of variant classification differences in ClinVar between 41 clinical laboratories through an outlier approach.

Authors:  Steven M Harrison; Jill S Dolinksy; Wenjie Chen; Christin D Collins; Soma Das; Joshua L Deignan; Kathryn B Garber; John Garcia; Olga Jarinova; Amy E Knight Johnson; Juha W Koskenvuo; Hane Lee; Rong Mao; Rebecca Mar-Heyming; Andrew S McFaddin; Krista Moyer; Narasimhan Nagan; Stefan Rentas; Avni B Santani; Eija H Seppälä; Brian H Shirts; Timothy Tidwell; Scott Topper; Lisa M Vincent; Kathy Vinette; Heidi L Rehm
Journal:  Hum Mutat       Date:  2018-11       Impact factor: 4.878

3.  Novel bioinformatics quality control metric for next-generation sequencing experiments in the clinical context.

Authors:  Maxim Ivanov; Mikhail Ivanov; Artem Kasianov; Ekaterina Rozhavskaya; Sergey Musienko; Ancha Baranova; Vladislav Mileyko
Journal:  Nucleic Acids Res       Date:  2019-12-02       Impact factor: 16.971

4.  A new era in the interpretation of human genomic variation.

Authors:  Heidi L Rehm
Journal:  Genet Med       Date:  2017-07-13       Impact factor: 8.822

Review 5.  Collaborative Group of the Americas on Inherited Gastrointestinal Cancer Position statement on multigene panel testing for patients with colorectal cancer and/or polyposis.

Authors:  Brandie Heald; Heather Hampel; James Church; Beth Dudley; Michael J Hall; Maureen E Mork; Aparajita Singh; Elena Stoffel; Jessica Stoll; Y Nancy You; Matthew B Yurgelun; Sonia S Kupfer
Journal:  Fam Cancer       Date:  2020-07       Impact factor: 2.375

Review 6.  Navigating the nuances of clinical sequence variant interpretation in Mendelian disease.

Authors:  Natasha T Strande; Sarah E Brnich; Tamara S Roman; Jonathan S Berg
Journal:  Genet Med       Date:  2018-07-10       Impact factor: 8.822

Review 7.  Inherited Cancer in the Age of Next-Generation Sequencing.

Authors:  Kristin S Price; Ashley Svenson; Elisabeth King; Kaylene Ready; Gabriel A Lazarin
Journal:  Biol Res Nurs       Date:  2018-01-11       Impact factor: 2.522

8.  Inter-lab concordance of variant classifications establishes clinical validity of expanded carrier screening.

Authors:  Kristjan E Kaseniit; Elizabeth Collins; Christine Lo; Krista Moyer; Rebecca Mar-Heyming; Hyunseok P Kang; Dale Muzzey
Journal:  Clin Genet       Date:  2019-07-01       Impact factor: 4.438

Review 9.  Recent therapeutic advances in chronic lymphocytic leukemia.

Authors:  Prithviraj Bose; Varsha Gandhi
Journal:  F1000Res       Date:  2017-10-31

10.  Sources of discordance among germ-line variant classifications in ClinVar.

Authors:  Shan Yang; Stephen E Lincoln; Yuya Kobayashi; Keith Nykamp; Robert L Nussbaum; Scott Topper
Journal:  Genet Med       Date:  2017-06-01       Impact factor: 8.822

  10 in total

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