Nature Communications (Dec 2022)

A framework for clinical cancer subtyping from nucleosome profiling of cell-free DNA

  • Anna-Lisa Doebley,
  • Minjeong Ko,
  • Hanna Liao,
  • A. Eden Cruikshank,
  • Katheryn Santos,
  • Caroline Kikawa,
  • Joseph B. Hiatt,
  • Robert D. Patton,
  • Navonil De Sarkar,
  • Katharine A. Collier,
  • Anna C. H. Hoge,
  • Katharine Chen,
  • Anat Zimmer,
  • Zachary T. Weber,
  • Mohamed Adil,
  • Jonathan B. Reichel,
  • Paz Polak,
  • Viktor A. Adalsteinsson,
  • Peter S. Nelson,
  • David MacPherson,
  • Heather A. Parsons,
  • Daniel G. Stover,
  • Gavin Ha

DOI
https://doi.org/10.1038/s41467-022-35076-w
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 18

Abstract

Read online

Nucleosome profiling from cell-free DNA (cfDNA) represents a potential approach for cancer detection and classification. Here, the authors develop Griffin, a computational framework for tumour subtype classification based on cfDNA nucleosome profiling that can work with ultra-low pass sequencing data.