Genomics of Acute Myeloid Leukemia at Diagnosis and Remission.
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Yu Kai, Dillon Laura W, Tettero Jesse M, Gui Gege, Al-Ali Rasha W, Grunwald Michael R, Krakow Elizabeth F, Griffiths Elizabeth A, Gomez-Arteaga Alexandra, Vedula Rahul S, Solh Melhem, Salhotra Amandeep, Bejanyan Nelli, Muffly Lori, Jimenez-Jimenez Antonio M, Drazer Michael W, Chen Yi-Bin, Logan Aaron, Jayani-Kosarzycki Reena V, Balderman Sophia R, Blachly James S, Shaffer Brian C, Druhan Lawrence J, Yeung Cecilia Cs, Kennedy Vanessa E, Fathi Amir T, Carraway Hetty E, Gurbuxani Sandeep, Tjota Melissa Y, Sahoo Farah, Smith Max, Barfield Dylan, Guo Jim, Han James, Hu Jason, Jo Heejon, Kudlingar Vidya, Li Wilfred, Qiu Yutong, Sathyan Pratheesh, Truong Sean, Catreux Severine, Ng Sam, Luong Khai, Zhu Yunjiao, Bahr Reem, Diemer Jamie, Ferrone Christina K, Getker Allison J, Bjerke Jackie, Bo-Subait Stephanie, Devine Steven M, Dietel Bergetta, Giammarino Gabrielle, Chihak Emily Heying, Kou Jianqun, Kolb Emily, Vitali Danielle O'Donnell, Spellman Stephen R, Tesch Brenna K, Vogel Jenny, Waldvogel Stephanie, Weatherspoon Syreeta, Auletta Jeffery J, Hourigan Christopher S
Аннотация
STATEMENT OF SIGNIFICANCE: Acute myeloid leukemia is a diagnostic category encompassing multiple rare hematological malignances. We show, in this nationwide multicenter study, that standardized unbiased whole genome DNA-sequencing and disease-optimized bioinformatics can replicate conventional "standard of care" AML clinical testing results, while also revealing currently underdiagnosed AML disease biology and potential genetic predisposition.