Evidence map›Paper›PMID 33976150›Full record

ArticleNature communications2021

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

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

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed.

  1. Exercise intensity and training alter the innate immune cell type and chromosomal origins of circulating cell-free DNA in humans.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  20. Circulating Cell-Free DNA in Metabolic Diseases.Journal of the Endocrine Society · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Christa CaggianoBioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA.
Barbara CelonaCardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0001-5391-8155
Fleur GartonInstitute for Molecular Biosciences, University of Queensland, Brisbane, Australia.
Joel MeffordDepartment of Neurology, University of California Los Angeles, Los Angeles, CA, USA.
Brian L BlackCardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-6664-8913
Robert HendersonDepartment of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Australia.
Catherine Lomen-HoerthDepartment of Neurology, University of California San Francisco, San Francisco, CA, USA.
Andrew DahlSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA.ORCID 0000-0001-6520-4766
Noah ZaitlenDepartment of Neurology, University of California Los Angeles, Los Angeles, CA, USA. nzaitlen@g.ucla.edu.ORCID 0000-0002-3553-3670

Funding

Project 3: Control of cardiac transcription by MEF2 and myocardinP01HL146366 · NHLBI · J. DAVID GLADSTONE INSTITUTES · PI SRIVASTAVA, DEEPAK · 2019 to 2023
$13.7M
Methods for Genome-wide Association Studies in Admixed PopulationsR01HG006399 · NHGRI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L · 2011 to 2024
$6.3M
Training Grant in Neurobehavioral GeneticsT32NS048004 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, OPHOFF, ROEL A · 2004 to 2025
$5.8M
Regulation of cardiovascular transcriptionR01HL064658 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BLACK, BRIAN L · 2000 to 2019
$5.4M
Optimizing imputation for diverse populations in a distributed frameworkU01HG009080 · NHGRI · STANFORD UNIVERSITY · PI KENNY, EIMEAR ELIZABETH · 2016 to 2020
$5.2M
Improved methods for inference of genotype-specific response to environmental toxinsR01ES029929 · NIEHS · PRINCETON UNIVERSITY · PI AYROLES, JULIEN, CLARK, ANDREW G · 2019 to 2023
$3.6M
(PQ3) A functional genomic approach to identification and interpretation of germline-tumor genetic interactionsR01CA227237 · NCI · DANA-FARBER CANCER INST · PI GUSEV, ALEXANDER, ZAITLEN, NOAH A · 2018 to 2022
$3.5M
Richer Models of Asthma Risk: Bridging the Environment-Genetics DivideK25HL121295 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ZAITLEN, NOAH A · 2014 to 2018
$784k
Leveraging Novel Multivariate Methods of Subphenotypes in Genetic Association Studies of Sjogren’s SyndromeR03DE025665 · NIDCR · HARVARD SCHOOL OF PUBLIC HEALTH · PI ASCHARD, HUGUES, ZAITLEN, NOAH A · 2016 to 2017
$494k
A Comprehensive Protocol for Tissue of Origin Prediction in Circulating Cell-Free DNAF31NS122538 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CAGGIANO, CHRISTA · 2021 to 2022
$76k
NCI NIH HHS R01 CA227237NHGRI NIH HHS R01 HG006399NHGRI NIH HHS U01 HG009080NHLBI NIH HHS K25 HL121295NHLBI NIH HHS P01 HL146366NHLBI NIH HHS R01 HL064658NIDCR NIH HHS R03 DE025665NIEHS NIH HHS R01 ES029929NINDS NIH HHS F31 NS122538NINDS NIH HHS T32 NS048004
6 · The paper itself

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.

Indexed as

AlgorithmsDNA MethylationEpigenesis, GeneticAdultAmyotrophic Lateral SclerosisBiomarkersB-LymphocytesCase-Control StudiesCell-Free Nucleic AcidsFemaleHumansMacrophagesMaleMonocytesMuscle, SkeletalNeutrophilsBiomarkersCell-Free Nucleic Acids

Identifiers

PMID33976150
PMCPMC8113516

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.