Evidence map›Paper›PMID 40654946›Full record

ArticlebioRxiv : the preprint server for biology2025

Genome graphs reveal the importance of structural variation in

Aleix Canalda-Baltrons, Matthew Silcocks, Michael B Hall, Derrick Theys, Xuling Chang, Linda T Viberg, Norelle L Sherry, Lachlan Coin, Sarah J Dunstan

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

9 authors.

Aleix Canalda-BaltronsDepartment of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, 3000, Victoria, Australia.ORCID 0000-0001-8366-7377
Matthew SilcocksDepartment of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, 3000, Victoria, Australia.
Michael B HallDepartment of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, 3000, Victoria, Australia.
Derrick TheysDepartment of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, 3000, Victoria, Australia.
Xuling ChangDepartment of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, 3000, Victoria, Australia.
Linda T VibergVictorian Infectious Diseases Reference Laboratory, Melbourne Health, at the Peter Doherty Institute for Infection and Immunity, 3000, Victoria, Australia.
Norelle L SherryMicrobiological Diagnostic Unit Public Health Laboratory (MDU PHL), University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, 3000, Victoria, Australia.
Lachlan CoinDepartment of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, 3000, Victoria, Australia.
Sarah J DunstanDepartment of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, 3000, Victoria, Australia.

Funding

Systems Biology, Bioinformatics, & Data IntegrationU19AI162583 · NIAID · UNIVERSITY OF WASHINGTON · PI COX, JEFFERY S, HAWN, THOMAS R · 2021 to 2025
$13.0M
NIAID NIH HHS U19 AI162583
6 · The paper itself

Abstract

Structural variants (SVs) are increasingly recognized as key drivers of bacterial evolution, yet their role has not been explored thoroughly. This is due to limitations in traditional short-read sequencing and linear reference-based analyses, which can miss complex structural changes. Tuberculosis (TB), a disease caused by

Indexed as

drug resistanceevolutiongenome graphpangenomestructural varianttuberculosis

Identifiers

PMID40654946
PMCPMC12247764

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.