Literature DB >> 34805717

Quantification of Discordant Variant Interpretations in a Large Family-Based Study of Li-Fraumeni Syndrome.

Megan N Frone1, Douglas R Stewart1, Sharon A Savage1, Payal P Khincha1.   

Abstract

PURPOSE: The use of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology guidelines has improved germline variant classification concordance, but discrepancies persist, sometimes directly affecting medical management. We evaluated variant discordance between and within families with germline TP53 variants in the National Cancer Institute's Li-Fraumeni syndrome longitudinal cohort study.
MATERIALS AND METHODS: Germline TP53 genetic testing results were obtained from 421 individuals in 140 families. A discordant test result was defined as a report of pathogenicity that differed between two clinical testing laboratories, between a testing laboratory and the ClinVar database, or between either the laboratory or ClinVar database and variant classification by internal study review.
RESULTS: There were 141 variants in 140 families (one family had two different TP53 variants). Fifty-four families had discordant interpretations (54 of 140, 39%). Sixteen families had discordant classifications leading to clinically important differences in medical management (16 of 140, 11%). Interfamilial discordance was observed between four families (two different variants). Intrafamilial discordance was observed within six families. One family experienced both intrafamilial and interfamilial discordance.
CONCLUSION: This large single-gene study found discordant germline TP53 variant interpretations in 39% of families studied; 11% had a variant with the potential to significantly affect medical management. This finding is especially concerning in patients with Li-Fraumeni syndrome because of their exceedingly high risks of multiple cancers and intensive cancer screening and risk-reducing recommendations. Centralized data sharing, gene-specific variant curation guidelines, and provider education for consistent variant interpretation are essential for optimal patient care.
© 2021 by American Society of Clinical Oncology.

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Year:  2021        PMID: 34805717      PMCID: PMC8594664          DOI: 10.1200/PO.21.00320

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


  40 in total

1.  Baseline Surveillance in Li-Fraumeni Syndrome Using Whole-Body Magnetic Resonance Imaging: A Meta-analysis.

Authors:  Mandy L Ballinger; Ana Best; Phuong L Mai; Payal P Khincha; Jennifer T Loud; June A Peters; Maria Isabel Achatz; Rubens Chojniak; Alexandre Balieiro da Costa; Karina Miranda Santiago; Judy Garber; Allison F O'Neill; Rosalind A Eeles; D Gareth Evans; Eveline Bleiker; Gabe S Sonke; Marielle Ruijs; Claudette Loo; Joshua Schiffman; Anne Naumer; Wendy Kohlmann; Louise C Strong; Jasmina Bojadzieva; David Malkin; Surya P Rednam; Elena M Stoffel; Erika Koeppe; Jeffrey N Weitzel; Thomas P Slavin; Bita Nehoray; Mark Robson; Michael Walsh; Lorenzo Manelli; Anita Villani; David M Thomas; Sharon A Savage
Journal:  JAMA Oncol       Date:  2017-12-01       Impact factor: 31.777

2.  Risks of first and subsequent cancers among TP53 mutation carriers in the National Cancer Institute Li-Fraumeni syndrome cohort.

Authors:  Phuong L Mai; Ana F Best; June A Peters; Rosamma M DeCastro; Payal P Khincha; Jennifer T Loud; Renée C Bremer; Philip S Rosenberg; Sharon A Savage
Journal:  Cancer       Date:  2016-08-06       Impact factor: 6.860

3.  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

4.  Differences in TP53 Mutation Carrier Phenotypes Emerge From Panel-Based Testing.

Authors:  Huma Q Rana; Rebecca Gelman; Holly LaDuca; Rachel McFarland; Emily Dalton; Jennifer Thompson; Virginia Speare; Jill S Dolinsky; Elizabeth C Chao; Judy E Garber
Journal:  J Natl Cancer Inst       Date:  2018-08-01       Impact factor: 13.506

5.  Li-Fraumeni syndrome: report of a clinical research workshop and creation of a research consortium.

Authors:  Phuong L Mai; David Malkin; Judy E Garber; Joshua D Schiffman; Jeffrey N Weitzel; Louise C Strong; Oliver Wyss; Luana Locke; Von Means; Maria Isabel Achatz; Pierre Hainaut; Thierry Frebourg; D Gareth Evans; Eveline Bleiker; Andrea Patenaude; Katherine Schneider; Benjamin Wilfond; June A Peters; Paul M Hwang; James Ford; Uri Tabori; Simona Ognjanovic; Phillip A Dennis; Ingrid M Wentzensen; Mark H Greene; Joseph F Fraumeni; Sharon A Savage
Journal:  Cancer Genet       Date:  2012-08-29

Review 6.  Germline mutations in the TP53 gene.

Authors:  R A Eeles
Journal:  Cancer Surv       Date:  1995

7.  Detailed haplotype analysis at the TP53 locus in p.R337H mutation carriers in the population of Southern Brazil: evidence for a founder effect.

Authors:  Sonia Garritano; Federica Gemignani; Edenir Inez Palmero; Magali Olivier; Ghyslaine Martel-Planche; Florence Le Calvez-Kelm; Laurence Brugiéres; Fernando Regla Vargas; Ricardo Renzo Brentani; Patricia Ashton-Prolla; Stefano Landi; Sean V Tavtigian; Pierre Hainaut; Maria Isabel W Achatz
Journal:  Hum Mutat       Date:  2010-02       Impact factor: 4.878

8.  Germ line p53 mutations in a familial syndrome of breast cancer, sarcomas, and other neoplasms.

Authors:  D Malkin; F P Li; L C Strong; J F Fraumeni; C E Nelson; D H Kim; J Kassel; M A Gryka; F Z Bischoff; M A Tainsky
Journal:  Science       Date:  1990-11-30       Impact factor: 47.728

9.  The impact of variant classification on the clinical management of hereditary cancer syndromes.

Authors:  Scott A Turner; Smita K Rao; R Hayes Morgan; Cindy L Vnencak-Jones; Georgia L Wiesner
Journal:  Genet Med       Date:  2018-06-06       Impact factor: 8.822

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

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