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Comprehensive cell type decomposition of circulating cell-free DNA with CelFiE

Christa Caggiano, Barbara Celona, Fleur C. Garton, Joel Mefford, Brian L. Black, Robert D. Henderson, Catherine Lomen‐Hoerth, Andrew Dahl, Noah Zaitlen

2021Nature Communications94 citationsDOIOpen Access PDF

Abstract

Circulating cell-free DNA (cfDNA) in the bloodstream originates from dying cells and is a promising noninvasive biomarker for cell death. Here, we propose an algorithm, CelFiE, to accurately estimate the relative abundances of cell types and tissues contributing to cfDNA from epigenetic cfDNA sequencing. In contrast to previous work, CelFiE accommodates low coverage data, does not require CpG site curation, and estimates contributions from multiple unknown cell types that are not available in external reference data. In simulations, CelFiE accurately estimates known and unknown cell type proportions from low coverage and noisy cfDNA mixtures, including from cell types composing less than 1% of the total mixture. When used in two clinically-relevant situations, CelFiE correctly estimates a large placenta component in pregnant women, and an elevated skeletal muscle component in amyotrophic lateral sclerosis (ALS) patients, consistent with the occurrence of muscle wasting typical in these patients. Together, these results show how CelFiE could be a useful tool for biomarker discovery and monitoring the progression of degenerative disease.

Topics & Concepts

BiomarkerCell typeEpigeneticsComputational biologyCpG siteCellCell-free fetal DNADNA methylationBiologyDNABioinformaticsMedicineGeneticsGeneGene expressionFetusPregnancyPrenatal diagnosisCancer Genomics and DiagnosticsSingle-cell and spatial transcriptomicsEpigenetics and DNA Methylation