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

DOI
https://doi.org/10.1038/s41467-021-21288-z
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 9

Abstract

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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.