Evidence map›Paper›PMID 39974997›Full record

ArticlebioRxiv : the preprint server for biology2025

Intraspecies associations from strain-rich metagenome samples.

Evan B Qu, Jacob S Baker, Laura Markey, Veda Khadka, Chris Mancuso, Delphine Tripp, Tami D Lieberman

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Evan B QuInstitute for Medical Engineering and Sciences, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.ORCID 0009-0005-5079-0690
Jacob S BakerInstitute for Medical Engineering and Sciences, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.
Laura MarkeyInstitute for Medical Engineering and Sciences, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.
Veda KhadkaInstitute for Medical Engineering and Sciences, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.
Chris MancusoInstitute for Medical Engineering and Sciences, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.ORCID 0000-0002-3974-3480
Delphine TrippInstitute for Medical Engineering and Sciences, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.
Tami D LiebermanInstitute for Medical Engineering and Sciences, Massachusetts Institute of Technology; Cambridge, MA 02139, USA.

Funding

An Evolutionary Framework For Identifying Determinants Of Colonization In Human MicrobiomesDP2GM140922 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LIEBERMAN, TAMI D · 2020 to 2020
$2.3M
NIGMS NIH HHS DP2 GM140922
6 · The paper itself

Abstract

Genetically distinct strains of a species can vary widely in phenotype, reducing the utility of species-resolved microbiome measurements for detecting associations with health or disease. While metagenomics theoretically provides information on all strains in a sample, current strain-resolved analysis methods face a tradeoff:

Identifiers

PMID39974997
PMCPMC11839054

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.