A scalable EHR-based approach for phenotype discovery and variant interpretation for hereditary cancer genes

Chenjie Zeng(National Human Genome Research Institute), Joshua C. Denny(National Institutes of Health), Jennifer A. Pacheco(University of Arizona), Marc S. Williams(Geisinger Health System), Chunhua Weng(Columbia University Irving Medical Center), Heidi L. Rehm(Unknown), David R. Crosslin(Tulane University), Wendy K. Chung(Oregon Health & Science University), Kurt D. Christensen(University of Michigan), Carrie L. Blout Zawatsky(Brigham and Women's Hospital), Hana Zouk(Harvard University), Ayorinde Cooley(Meharry Medical College), Dan M. Roden(Garvan Institute of Medical Research), Gail P. Jarvik(University of Washington Medical Center), Richard A. Gibbs(Baylor College of Medicine), Scott J. Hebbring(Marshfield Clinic), Leora Witkowski(Mass General Brigham), Niall J. Lennon(Broad Institute), Harris T. Bland(Vanderbilt University Medical Center), Eric Venner(Baylor College of Medicine), Georgia L. Wiesner(The University of Western Australia), Siddharth Pratap(Meharry Medical College), Lisa Bastarache(Vanderbilt University Medical Center), Ali G. Gharavi(Columbia University), Patrick Sleiman(Children's Hospital of Philadelphia), Ran Tao(Vanderbilt University Medical Center), Håkon Håkonarson(Children's Hospital of Philadelphia), Josh F. Peterson(Vanderbilt University Medical Center), Yuan Luo(China Railway Group (China)), Robert C. Green(Boston University), Justin Andujar(Vanderbilt University), Emma Perez(Brigham and Women's Hospital), Kathleen A. Leppig(Group Health Cooperative)
medRxiv
March 24, 2021
Cited by 0


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