Using germline variants to estimate glioma and subtype risks.

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Bibliographic Details
Title: Using germline variants to estimate glioma and subtype risks.
Authors: Eckel-Passow JE; Division of Biomedical Statistics & Informatics, Mayo Clinic, Rochester, Minnesota, USA., Decker PA; Division of Biomedical Statistics & Informatics, Mayo Clinic, Rochester, Minnesota, USA., Kosel ML; Division of Biomedical Statistics & Informatics, Mayo Clinic, Rochester, Minnesota, USA., Kollmeyer TM; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA., Molinaro AM; Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California, USA.; Department of Epidemiology and Biostatistics, UCSF, San Francisco, California, USA., Rice T; Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California, USA., Caron AA; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA., Drucker KL; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA., Praska CE; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA., Pekmezci M; Department of Pathology, UCSF, San Francisco, California, USA., Hansen HM; Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California, USA., McCoy LS; Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California, USA., Bracci PM; Department of Epidemiology and Biostatistics, UCSF, San Francisco, California, USA., Erickson BJ; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA., Lucchinetti CF; Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA., Wiemels JL; Center for Genetic Epidemiology, University of Southern California, Los Angeles, California, USA., Wiencke JK; Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California, USA.; Department of Epidemiology and Biostatistics, UCSF, San Francisco, California, USA.; Institute of Human Genetics, UCSF, San Francisco, California, USA., Bondy ML; Department of Medicine, Baylor College of Medicine, Houston, Texas, USA., Melin B; Department of Radiation Sciences, Faculty of Medicine, Umeå University, Umeå, Sweden., Burns TC; Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota, USA., Giannini C; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA., Lachance DH; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.; Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA., Wrensch MR; Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California, USA.; Department of Epidemiology and Biostatistics, UCSF, San Francisco, California, USA.; Institute of Human Genetics, UCSF, San Francisco, California, USA., Jenkins RB; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.
Source: Neuro-oncology [Neuro Oncol] 2019 Mar 18; Vol. 21 (4), pp. 451-461.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 100887420 Publication Model: Print Cited Medium: Internet ISSN: 1523-5866 (Electronic) Linking ISSN: 15228517 NLM ISO Abbreviation: Neuro Oncol Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1523-5866
DOI:10.1093/neuonc/noz009