Evidence map›Paper›PMID 41244590›Full record

ArticleiScience2025

Metagenome-assembled genomes enhance bacterial read decontamination and variant calling in oral samples.

Zunu An, Jun Hyung Cha, Kyu Ha Lee, Insuk Lee

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Zunu AnDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea.
Jun Hyung ChaDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea.
Kyu Ha LeeDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Insuk LeeDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole genome sequencing (WGS) offers advantages over DNA chip-based genotyping, typically using blood-derived DNA. However, saliva and buccal samples-popular in direct-to-consumer tests-suffer reduced accuracy because of oral bacterial contamination. Decontamination strategies using decoy bacterial genomes yielded limited improvements, likely because they cover only a subset of oral bacteria with available isolate genomes. To overcome this, we developed a decontamination pipeline leveraging metagenome-assembled genomes (MAGs). Concordance analysis of variant calling between blood and matched oral samples confirmed the superiority of MAG-augmented decontamination over conventional methods relying mainly on isolate genomes. Although the underlying mechanism remains unclear, it particularly improves variant calls in GC-rich regions, recovering many likely pathogenic variants. Additionally, we demonstrate that certain bacterial genomic regions mimic human regions with clinically relevant variants, potentially confounding genotyping. These results highlight the need for MAG-based bacterial read decontamination to achieve accurate personal genotyping from non-invasive, self-collected oral samples.

Indexed as

Computational bioinformaticsGenomic analysisGenomics

Identifiers

PMID41244590
PMCPMC12616088

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.