Using germline variants to estimate glioma and subtype risks

Author:

Eckel-Passow Jeanette E1,Decker Paul A1,Kosel Matt L1,Kollmeyer Thomas M2,Molinaro Annette M34,Rice Terri3,Caron Alissa A2,Drucker Kristen L2,Praska Corinne E2,Pekmezci Melike5,Hansen Helen M3,McCoy Lucie S3,Bracci Paige M4,Erickson Bradley J6,Lucchinetti Claudia F7,Wiemels Joseph L8,Wiencke John K349,Bondy Melissa L10,Melin Beatrice11,Burns Terry C12,Giannini Caterina2,Lachance Daniel H27,Wrensch Margaret R349,Jenkins Robert B2

Affiliation:

1. Division of Biomedical Statistics & Informatics, Mayo Clinic, Rochester, Minnesota, USA

2. Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA

3. Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, California, USA

4. Department of Epidemiology and Biostatistics, UCSF, San Francisco, California, USA

5. Department of Pathology, UCSF, San Francisco, California, USA

6. Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA

7. Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA

8. Center for Genetic Epidemiology, University of Southern California, Los Angeles, California, USA

9. Institute of Human Genetics, UCSF, San Francisco, California, USA

10. Department of Medicine, Baylor College of Medicine, Houston, Texas, USA

11. Department of Radiation Sciences, Faculty of Medicine, Umeå University, Umeå, Sweden

12. Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota, USA

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Neurology (clinical),Oncology

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