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.
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.
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
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
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
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
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
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
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
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