Evidence map›Paper›PMID 41781882›Full record

ArticleBMC bioinformatics2026

ACVI-Med, an open source variant interpretation tool for medical genomics.

Moritz Stadler, Sabina Gansberger, Liliane Borik-Heil, Johannes Griss, Ichiro Okamoto, Wolfgang P Weninger, Matthias Wielscher

Abstract read
In one paragraph

Article in BMC bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Moritz StadlerDepartment of Dermatology, Medical University of Vienna, 1090, Vienna, Austria.
Sabina GansbergerDepartment of Dermatology, Medical University of Vienna, 1090, Vienna, Austria.
Liliane Borik-HeilDepartment of Dermatology, Medical University of Vienna, 1090, Vienna, Austria.
Johannes GrissDepartment of Dermatology, Medical University of Vienna, 1090, Vienna, Austria.
Ichiro OkamotoDepartment of Dermatology, Medical University of Vienna, 1090, Vienna, Austria.
Wolfgang P WeningerDepartment of Dermatology, Medical University of Vienna, 1090, Vienna, Austria.
Matthias WielscherDepartment of Dermatology, Medical University of Vienna, 1090, Vienna, Austria. matthias.wielscher@meduniwien.ac.at.

Funding

Vienna Science and Technology Fund ME-CFS24-002
6 · The paper itself

Abstract

backgroundThe adoption of whole genome and exome sequencing (WGS/WES) is expanding rapidly, yet variant interpretation remains a critical bottleneck, limiting diagnostic yield and delaying precision care. We present ACVI-Med (Accelerated Candidate Variant Interpretation in Medicine), an open-source, on-premise platform for comprehensive analysis of genomic data.

resultsACVI-Med integrates phenotype-aware filtering, ACMG-guided variant classification, and secondary findings detection into a unified, containerized system built for reproducibility and deployment across diverse institutional environments. Designed for accessibility, ACVI-Med enables users without extensive bioinformatics expertise to interpret variants from VCF (Variant Call Format) files through a flexible interface supporting phenotype-driven filtering, ACMG-guided variant classification, and integration of population, clinical, and predictive annotations. The software incorporates modules for secondary findings detection, aligned with ACMG Secondary Findings v3.2 recommendations, extending its utility beyond primary variant analysis. ACVI-Med’s customizable filtering logic, real-time access to curated knowledge bases, and interactive visualization tools support transparent and reproducible genomic interpretation.

conclusionACVI-Med is an open-source software for genomic variant interpretation. Unlike commercial solutions, ACVI-Med is cost-effective, containerized, and can be institutionally self-hosted, reducing barriers to adoption in research settings.

Indexed as

Genetic VariationGenomic MedicineGenomicsSoftwareHumansACMG guidelinesMedical genomicsOpen-source softwarePharmacogenomicsSecondary findingsVariant interpretation

Identifiers

PMID41781882
PMCPMC13069756

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.