FinaleMe: Predicting DNA methylation by the fragmentation patterns of plasma cell-free DNA.
Nature communications
Authors | |
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. |
Year of Publication | 2024
|
Journal | Nature communications
|
Volume | 15
|
Issue | 1
|
Pages | 2790
|
Date Published | 03/2024
|
ISSN | 2041-1723
|
DOI | 10.1038/s41467-024-47196-6
|
PubMed ID | 38555308
|
Links |