Evidence map›Paper›PMID 41961532›Full record

ArticleMicrobial genomics2026

Reducing mapping reference and lineage bias in

Arturo Torres Ortiz, Xavier Didelot, Louis Grandjean

Abstract read
In one paragraph

Article in Microbial genomics, 2026. 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

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

3 authors.

Arturo Torres OrtizJohns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Xavier DidelotSchool of Life Sciences and Department of Statistics, University of Warwick, Coventry, CV4 7AL, UK.
Louis GrandjeanDepartment of Infection, Immunity and Inflammation, Institute of Child Health, UCL, London WC1N 1EH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing provides a vast amount of genetic information, but its use in clinical and epidemiological studies often depends on the accurate inference of genomic variants. Comparative genomic studies in

Indexed as

Chromosome MappingGenome, BacterialMycobacterium tuberculosisGenetic VariationGenomicsHigh-Throughput Nucleotide SequencingWhole Genome Sequencingbioinformaticsgenome assemblymappingnext-generation sequencingtuberculosis

Identifiers

PMID41961532
PMCPMC13068375

What OpenQuestion holds

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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.