Evidence map›Paper›PMID 40099154›Full record

ArticleBioinformatics advances2025

locuszoomr: an R package for visualizing publication-ready regional gene locus plots.

Myles J Lewis, Susan Wang

Abstract read
In one paragraph

Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Novel immune-related susceptibility loci associated with pediatric steroid-sensitive nephrotic syndrome identified by a transethnic genome-wide association study.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
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  8. Review
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  13. The impact of low-frequency genetic variants on serum protein levels.bioRxiv : the preprint server for biology · 2026
    Article
  14. Article
  15. Genetic insights on the mechanisms of human cortical folding.bioRxiv : the preprint server for biology · 2026
    Article
  16. Article
  17. Article
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  19. Frontiers in immunology · 2026
    Article
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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

2 authors.

Myles J LewisCentre for Experimental Medicine & Rheumatology, William Harvey Research Institute, Queen Mary University of London, London EC1M 6BQ, United Kingdom.ORCID https://orcid.org/0000-0001-9365-5345
Susan WangCentre for Experimental Medicine & Rheumatology, William Harvey Research Institute, Queen Mary University of London, London EC1M 6BQ, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: Locuszoomr is an R package for visualizing and creating publication-ready regional gene locus plots similar to those produced by the original web interface 'LocusZoom', but running locally in R. Genetic or genomic data with gene annotation tracks are plotted via R base graphics or 'ggplot2', allowing flexibility and easy customization. Modular plotting functions enable layering of multiple GWAS plots such as for PheWAS, comparing GWAS with eQTL signals, and aligning multiple locus plots on the same page. Interactive plots can be visualized using 'plotly' enabling quick identification of data points for labelling. The 'LDlink' API (https://ldlink.nih.gov/) can be programmatically queried to obtain linkage disequilibrium (LD) data from the 1000 Genomes Project which is overlaid on plots. The package allows users to query Ensembl databases from Bioconductor or AnnotationHub for genomic information, so it can be used to show gene track information for any species available in Ensembl. Helper functions enable recombination rate data from UCSC to be overlaid on plots. The package has a detailed vignette and includes embedded example GWAS data to allow users to try out different features. Locuszoomr is also fast: identifying 50 peaks in a GWAS of around 8 million SNPs takes around 0.6 s. Exporting 50 locus plots with 1 Mb window with recombination rate takes around 30 son Intel ninth gen CPU or 14 son Apple ARM M3. Availability and implementation: The R package locuszoomr is open-source and available from CRAN: https://cran.r-project.org/package=locuszoomr and GitHub: https://github.com/myles-lewis/locuszoomr.

Identifiers

PMID40099154
PMCPMC11912002

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.