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

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作者
Christa Caggiano
Barbara Celona
Fleur Garton
Joel Mefford
Brian L. Black
Robert Henderson
Catherine Lomen-Hoerth
Andrew Dahl
Noah Zaitlen
机构
[1] University of California Los Angeles,Bioinformatics Interdepartmental Program
[2] University of California Los Angeles,Department of Neurology
[3] University of California San Francisco,Cardiovascular Research Institute
[4] University of Queensland,Institute for Molecular Biosciences
[5] University of California,Department of Biochemistry and Biophysics
[6] Royal Brisbane and Women’s Hospital,Department of Neurology
[7] University of California San Francisco,Department of Neurology
[8] University of Chicago,Section of Genetic Medicine, Department of Medicine
[9] University of California Los Angeles,Department of Computational Medicine
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摘要
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.
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