2 results match your criteria: "University of Cincinnati Center for Environmental Genetics[Affiliation]"
FinaleMe: Predicting DNA methylation by the fragmentation patterns of plasma cell-free DNA.
Nat Commun
March 2024
Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
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.
View Article and Find Full Text PDFArticle Synopsis
- The analysis of DNA methylation in cell-free DNA (cfDNA) can identify important biomarkers but is complicated by the need for special protocols and sufficient material.
- Millions of cfDNA samples have been sequenced, leading to the development of FinaleMe, a Hidden Markov Model designed to predict methylation patterns from plasma whole-genome sequencing.
- The model's effectiveness was tested with 80 pairs of data from deep and shallow-coverage whole-genome sequencing and whole-genome bisulfite sequencing.