TY - JOUR
T1 - Legacy Genetic Testing Results for Cancer Susceptibility
T2 - How Common are Conflicting Classifications in a Large Variant Dataset from Multiple Practices?
AU - Yin, Kanhua
AU - Liu, Yuxi
AU - Lamichhane, Basanta
AU - Sandbach, John F.
AU - Patel, Gayle
AU - Compagnoni, Gia
AU - Kanak, Richard H.
AU - Rosen, Barry
AU - Ondrula, David P.
AU - Smith, Linda
AU - Brown, Eric
AU - Gold, Linsey
AU - Whitworth, Pat
AU - App, Colleen
AU - Euhus, David
AU - Semine, Alan
AU - Dwight Lyons, S.
AU - Lazarte, Melford Allan C.
AU - Parmigiani, Giovanni
AU - Braun, Danielle
AU - Hughes, Kevin S.
N1 - Funding Information:
Funding was provided by National Cancer Institute (Grant Nos. 4P30CA006516-51, R01-CA207365-01A1). Acknowledgement
Funding Information:
We thank Ann Adams (Department of Surgery, Massachusetts General Hospital) for her editorial assistance.
Publisher Copyright:
© 2020, Society of Surgical Oncology.
PY - 2020/7/1
Y1 - 2020/7/1
N2 - Purpose: The classification of germline variants may differ between labs and change over time. We apply a variant harmonization tool, Ask2Me VarHarmonizer, to map variants to ClinVar and identify discordant variant classifications in a large multipractice variant dataset. Methods: A total of 7496 variants sequenced between 1996 and 2019 were collected from 11 clinical practices. Variants were mapped to ClinVar, and lab-reported and ClinVar variant classifications were analyzed and compared. Results: Of the 4798 unique variants identified, 3699 (77%) were mappable to ClinVar. Among mappable variants, variants of unknown significance (VUS) accounted for 74% of lab-reported classifications and 60% of ClinVar classifications. Lab-reported and ClinVar discordances were present in 783 unique variants (21.2% of all mappable variants); 121 variants (2.5% of all unique variants) had within-practice lab-reported discordances; and 56 variants (1.2% of all unique variants) had lab-reported discordances across practices. The unmappable variants were associated with a higher proportion of lab-reported pathogenic classifications (50% vs. 21%, p < 0.0001) and a lower proportion of lab-reported VUS classifications (46% vs. 74%, p < 0.0001). Conclusions: Our study shows that discordant variant classification occurs frequently, which may lead to inappropriate recommendations for prophylactic treatments or clinical management.
AB - Purpose: The classification of germline variants may differ between labs and change over time. We apply a variant harmonization tool, Ask2Me VarHarmonizer, to map variants to ClinVar and identify discordant variant classifications in a large multipractice variant dataset. Methods: A total of 7496 variants sequenced between 1996 and 2019 were collected from 11 clinical practices. Variants were mapped to ClinVar, and lab-reported and ClinVar variant classifications were analyzed and compared. Results: Of the 4798 unique variants identified, 3699 (77%) were mappable to ClinVar. Among mappable variants, variants of unknown significance (VUS) accounted for 74% of lab-reported classifications and 60% of ClinVar classifications. Lab-reported and ClinVar discordances were present in 783 unique variants (21.2% of all mappable variants); 121 variants (2.5% of all unique variants) had within-practice lab-reported discordances; and 56 variants (1.2% of all unique variants) had lab-reported discordances across practices. The unmappable variants were associated with a higher proportion of lab-reported pathogenic classifications (50% vs. 21%, p < 0.0001) and a lower proportion of lab-reported VUS classifications (46% vs. 74%, p < 0.0001). Conclusions: Our study shows that discordant variant classification occurs frequently, which may lead to inappropriate recommendations for prophylactic treatments or clinical management.
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U2 - 10.1245/s10434-020-08492-9
DO - 10.1245/s10434-020-08492-9
M3 - Article
C2 - 32342295
AN - SCOPUS:85084230001
SN - 1068-9265
VL - 27
SP - 2212
EP - 2220
JO - Annals of surgical oncology
JF - Annals of surgical oncology
IS - 7
ER -