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

Yaping LiuSarah C ReedChristopher LoAtish D ChoudhuryHeather A ParsonsDaniel G StoverGavin HaGregory GydushJustin RhoadesDenisse RotemSamuel S FreemanDavid W KatzRavi BandaruHaizi ZhengHailu FuViktor A AdalsteinssonManolis Kellis
Published in: Nature communications (2024)
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.
Keyphrases
  • dna methylation
  • gene expression
  • genome wide
  • single cell
  • palliative care
  • copy number
  • machine learning
  • affordable care act
  • artificial intelligence