Evidence map›Paper›PMID 39673434›Full record

ArticleBioinformatics (Oxford, England)2024

Polyphonia: detecting inter-sample contamination in viral genomic sequencing data.

Lydia A Krasilnikova, Christopher H Tomkins-Tinch, Alton C Gayton, Stephen F Schaffner, Sabrina T Dobbins, Adrianne Gladden-Young, Katherine J Siddle, Daniel J Park, Pardis C Sabeti

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Lydia A KrasilnikovaHoward Hughes Medical Institute, Chevy Chase, MD 20815, United States.ORCID 0000-0003-4163-706X
Christopher H Tomkins-TinchInfectious Disease and Microbiome Program, Broad Institute, Cambridge, MA 02142, United States.ORCID 0000-0002-9114-6421
Alton C GaytonDepartment of Virology, Harvard Medical School, Harvard University, Cambridge, MA 02138, United States.ORCID 0000-0002-2411-0621
Stephen F SchaffnerInfectious Disease and Microbiome Program, Broad Institute, Cambridge, MA 02142, United States.ORCID 0000-0001-6699-3568
Sabrina T DobbinsInfectious Disease and Microbiome Program, Broad Institute, Cambridge, MA 02142, United States.
Adrianne Gladden-YoungDepartment of Molecular Biology and Microbiology, Tufts University Graduate School of Biomedical Sciences, Boston, MA 02111, United States.ORCID 0000-0001-6307-0012
Katherine J SiddleDepartment of Molecular Microbiology and Immunology, Brown University, Providence, RI 02912, United States.ORCID 0000-0002-1799-7295
Daniel J ParkInfectious Disease and Microbiome Program, Broad Institute, Cambridge, MA 02142, United States.ORCID 0000-0001-7226-7781
Pardis C SabetiHoward Hughes Medical Institute, Chevy Chase, MD 20815, United States.ORCID 0000-0002-9843-1890

Funding

Viral Genomics: evolution, spread, and host interactionsU19AI110818 · NIAID · BROAD INSTITUTE, INC. · PI NEAFSEY, DANIEL E · 2014 to 2024
$66.5M
West African Emerging Infectious Disease Research Center (WA-EIDRC)U01AI151812 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI ANDERSEN, KRISTIAN GRAUGAARD, GARRY, ROBERT F · 2020 to 2024
$13.2M
National Institute of Allergy and Infectious Diseases U19AI110818NIAID NIH HHS U01 AI151812NIAID NIH HHS U19 AI110818US National Institutes of Health
6 · The paper itself

Abstract

summaryIn viral genomic research and surveillance, inter-sample contamination can affect variant detection, analysis of within-host evolution, outbreak reconstruction, and detection of superinfections and recombination events. While sample barcoding methods exist to track inter-sample contamination, they are not always used and can only detect contamination in the experimental pipeline from the point they are added. The underlying genomic information in a sample, however, carries information about inter-sample contamination occurring at any stage. Here, we present Polyphonia, a tool for detecting inter-sample contamination directly from deep sequencing data without the need for additional controls, using intrahost variant frequencies. We apply Polyphonia to 1102 SARS-CoV-2 samples sequenced at the Broad Institute and already tracked using molecular barcoding for comparison. AVAILABILITY AND IMPLEMENTATION: Polyphonia is available as a standalone Docker image and is also included as part of viral-ngs, available in Dockstore. Full documentation, source code, and instructions for use are available at https://github.com/broadinstitute/polyphonia.

Indexed as

Genome, ViralHigh-Throughput Nucleotide SequencingSARS-CoV-2SoftwareCOVID-19GenomicsHumans

Identifiers

PMID39673434
PMCPMC11652266

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.