Nature Communications (Mar 2024)

FinaleMe: Predicting DNA methylation by the fragmentation patterns of plasma cell-free DNA

  • Yaping Liu,
  • Sarah C. Reed,
  • Christopher Lo,
  • Atish D. Choudhury,
  • Heather A. Parsons,
  • Daniel G. Stover,
  • Gavin Ha,
  • Gregory Gydush,
  • Justin Rhoades,
  • Denisse Rotem,
  • Samuel Freeman,
  • David W. Katz,
  • Ravi Bandaru,
  • Haizi Zheng,
  • Hailu Fu,
  • Viktor A. Adalsteinsson,
  • Manolis Kellis

DOI
https://doi.org/10.1038/s41467-024-47196-6
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 9

Abstract

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Abstract Analysis of DNA methylation in cell-free DNA reveals clinically relevant biomarkers but requires specialized protocols such as whole-genome bisulfite sequencing. Meanwhile, millions of cell-free DNA samples are being profiled by whole-genome sequencing. Here, we develop FinaleMe, a non-homogeneous Hidden Markov Model, to predict DNA methylation of cell-free DNA and, therefore, tissues-of-origin, directly from plasma whole-genome sequencing. We validate the performance with 80 pairs of deep and shallow-coverage whole-genome sequencing and whole-genome bisulfite sequencing data.