Evidence map›Paper›PMID 41131579›Full record

ArticleGenome biology2025

ParaRef: a decontaminated reference database for parasite detection in ancient and modern metagenomic datasets.

Jonas Niemann, Yuejiao Huang, Liam T Lanigan, Arve L Willingham Grijalba, Robert R Dunn, Martin Sikora, Hannes Schroeder

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Jonas NiemannGlobe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 1350, Denmark. j.niemann@sund.ku.dk.
Yuejiao HuangGlobe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 1350, Denmark.
Liam T LaniganGlobe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 1350, Denmark.
Arve L Willingham GrijalbaGlobe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 1350, Denmark.
Robert R DunnNorth Carolina State University, Raleigh, NC, 27695-7617, USA.
Martin SikoraGlobe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 1350, Denmark.
Hannes SchroederGlobe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 1350, Denmark. hschroeder@sund.ku.dk.

Funding

HORIZON EUROPE European Research Council 101045643
6 · The paper itself

Abstract

Shotgun metagenomics holds great potential for identifying parasite DNA in biological samples, but its effectiveness is limited by widespread contamination in publicly available reference genomes, which hinders accurate detection. In this study, we systematically quantify and remove contamination from 831 published endoparasite genomes to create ParaRef, a curated reference database for species-level parasite detection. We show that decontamination significantly reduces false detection rates and improves overall detection accuracy. Our study highlights the pervasive issue of contamination in public databases and offers a resource that will enhance the reliability of parasite detection using metagenomics.

Indexed as

Databases, GeneticMetagenomicsParasitesAnimalsDNA ContaminationHumans

Identifiers

PMID41131579
PMCPMC12548146

What OpenQuestion holds

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LicenceCC BY
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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.