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A quantitative, Bayesian-informed approach to gene-specific variant classification: Updated Expert Panel recommendations improve classification of TP53 germline variants for Li-Fraumeni syndrome

Title:	A quantitative, Bayesian-informed approach to gene-specific variant classification: Updated Expert Panel recommendations improve classification of TP53 germline variants for Li-Fraumeni syndrome
Authors:	Fortuno, Cristina^{Aff1, IDs13073025015363_cor1}; Frone, Megan N.^{Aff2, IDs13073025015363_cor2}; Mester, Jessica^Aff3; de la Hoya, Miguel^Aff4; Mai, Phuong L.^Aff5; Pesaran, Tina^Aff6; Achatz, Maria Isabel^Aff7; Bassett, Rebecca^Aff8; Bustamante, Carolina^Aff9; Crowley, Stephanie^Aff10; de Andrade, Kelvin Cesar^Aff2; Evans, D. Gareth^Aff11; Feng, Bingjian^Aff12; Fuqua, Laura^Aff13; Harrell, Maria Isabel^Aff14; Hatton, Jessica N.^Aff2; Huether, Robert^Aff15; Kesserwan, Chimene^Aff16; Lee, Kristy^Aff17; MacFarland, Suzanne P.^Aff18; Maciaszek, Jamie L.^Aff19; Maxwell, Kara^Aff18; McGoldrick, Kelly^Aff6; Murphy, Maureen^Aff20; Nehoray, Bita^Aff21; Penkert, Judith^{Aff22, Aff23}; Pinto, Emilia Modolo^Aff19; Plon, Sharon E.^Aff24; Schwartz-Levine, Alison^Aff25; Thompson, Ashley S.^Aff26; Wang, Wenyi^Aff27; Zambetti, Gerard P.^Aff19; Zelley, Kristin^Aff18; James, Paul A.^Aff28; Savage, Sharon A.^Aff2; Kratz, Christian P.^Aff23; Spurdle, Amanda B.^Aff1
Source:	Genome Medicine. 17(1)
Database:	Springer Nature Journals