Nature Communications (Feb 2021)
Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts
- Rebecca E. Graff,
- Taylor B. Cavazos,
- Khanh K. Thai,
- Linda Kachuri,
- Sara R. Rashkin,
- Joshua D. Hoffman,
- Stacey E. Alexeeff,
- Maruta Blatchins,
- Travis J. Meyers,
- Lancelote Leong,
- Caroline G. Tai,
- Nima C. Emami,
- Douglas A. Corley,
- Lawrence H. Kushi,
- Elad Ziv,
- Stephen K. Van Den Eeden,
- Eric Jorgenson,
- Thomas J. Hoffmann,
- Laurel A. Habel,
- John S. Witte,
- Lori C. Sakoda
Affiliations
- Rebecca E. Graff
- Department of Epidemiology and Biostatistics, University of California San Francisco
- Taylor B. Cavazos
- Program in Biological and Medical Informatics, University of California San Francisco
- Khanh K. Thai
- Division of Research, Kaiser Permanente Northern California
- Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California San Francisco
- Sara R. Rashkin
- Department of Epidemiology and Biostatistics, University of California San Francisco
- Joshua D. Hoffman
- Department of Epidemiology and Biostatistics, University of California San Francisco
- Stacey E. Alexeeff
- Division of Research, Kaiser Permanente Northern California
- Maruta Blatchins
- Division of Research, Kaiser Permanente Northern California
- Travis J. Meyers
- Department of Epidemiology and Biostatistics, University of California San Francisco
- Lancelote Leong
- Department of Epidemiology and Biostatistics, University of California San Francisco
- Caroline G. Tai
- Department of Epidemiology and Biostatistics, University of California San Francisco
- Nima C. Emami
- Department of Epidemiology and Biostatistics, University of California San Francisco
- Douglas A. Corley
- Division of Research, Kaiser Permanente Northern California
- Lawrence H. Kushi
- Division of Research, Kaiser Permanente Northern California
- Elad Ziv
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco
- Stephen K. Van Den Eeden
- Division of Research, Kaiser Permanente Northern California
- Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California
- Thomas J. Hoffmann
- Department of Epidemiology and Biostatistics, University of California San Francisco
- Laurel A. Habel
- Division of Research, Kaiser Permanente Northern California
- John S. Witte
- Department of Epidemiology and Biostatistics, University of California San Francisco
- Lori C. Sakoda
- Division of Research, Kaiser Permanente Northern California
- DOI
- https://doi.org/10.1038/s41467-021-21288-z
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 9
Abstract
While genetic loci shared between cancer types have been identified, cross-cancer relationships for polygenic risk scores have not been well studied. Here, the authors have developed polygenic risk scores for 16 cancers in two large cohorts and identified positive and inverse cross-cancer associations.