Evidence map›Paper›PMID 29630678›Full record

ArticlePloS one2018

ERASE-Seq: Leveraging replicate measurements to enhance ultralow frequency variant detection in NGS data.

Nick Kamps-Hughes, Andrew McUsic, Laurie Kurihara, Timothy T Harkins, Prithwish Pal, Claire Ray, Cristian Ionescu-Zanetti

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In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  15. Considerations and quality controls when analyzing cell-free tumor DNA.Biomolecular detection and quantification · 2019
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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

7 authors.

Nick Kamps-HughesFluxion Biosciences Inc., South San Francisco, California, United States of America.
Andrew McUsicSwift Biosciences Inc., Ann Arbor, Michigan, United States of America.
Laurie KuriharaSwift Biosciences Inc., Ann Arbor, Michigan, United States of America.
Timothy T HarkinsSwift Biosciences Inc., Ann Arbor, Michigan, United States of America.
Prithwish PalIllumina Inc., San Diego, California, United States of America.
Claire RayIllumina Inc., San Diego, California, United States of America.
Cristian Ionescu-ZanettiFluxion Biosciences Inc., South San Francisco, California, United States of America.ORCID 0000-0002-3123-0699

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate detection of ultralow allele frequency variants in DNA samples is of interest in both research and medical settings, particularly in liquid biopsies where cancer mutational status is monitored from circulating DNA. Next-generation sequencing (NGS) technologies employing molecular barcoding have shown promise but significant sensitivity and specificity improvements are still needed to detect mutations in a majority of patients before the metastatic stage. To address this we present analytical validation data for ERASE-Seq (Elimination of Recurrent Artifacts and Stochastic Errors), a method for accurate and sensitive detection of ultralow frequency DNA variants in NGS data. ERASE-Seq differs from previous methods by creating a robust statistical framework to utilize technical replicates in conjunction with background error modeling, providing a 10 to 100-fold reduction in false positive rates compared to published molecular barcoding methods. ERASE-Seq was tested using spiked human DNA mixtures with clinically realistic DNA input quantities to detect SNVs and indels between 0.05% and 1% allele frequency, the range commonly found in liquid biopsy samples. Variants were detected with greater than 90% sensitivity and a false positive rate below 0.1 calls per 10,000 possible variants. The approach represents a significant performance improvement compared to molecular barcoding methods and does not require changing molecular reagents.

Indexed as

Cell LineComputational BiologyDNA Barcoding, TaxonomicGene FrequencyGene LibraryGenetic VariationHigh-Throughput Nucleotide SequencingHumansINDEL MutationSequence Analysis, DNA

Identifiers

PMID29630678
PMCPMC5890993

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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.