Article Information
History
- June 14, 2018.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- Nicholas Mancuso1,
- Simon Gayther2,
- Alexander Gusev3,
- Wei Zheng4,
- Kathryn L. Penney5,6,
- consortium the PRACTICAL, CRUK, BPC3, CAPS, PEGASUS*,
- Zsofia Kote-Jarai7,
- Rosalind Eeles7,
- Matthew Freedman8,
- Christopher Haiman9 and
- Bogdan Pasaniuc1,10,11
- 1Department of Pathology & Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
- 2The Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- 3Dana Farber Cancer Institute, Boston, MA
- 4Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
- 5Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- 6Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital/Harvard Medical School, Boston, Massachusetts
- 7Division of Genetics and Epidemiology, The Institute of Cancer Research & Royal Marsden NHS Foundation Trust, London, UK
- 8Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
- 9Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
- 10Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
- 11Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA
Posted June 14, 2018.
Large-scale transcriptome-wide association study identifies new prostate cancer risk regions
