Evidence map›Paper›PMID 41652446›Full record

ArticleHuman genomics2026

DUCKS4: a comprehensive workflow for Nanopore sequencing analysis of facioscapulohumeral muscular dystrophy (FSHD).

Tamara Löwenstern, Silvia Madritsch, David Horner, Nadja Brait, Naz Güleray Lafci, Anna Schachner, Maria Gerykova Bujalkova, Tadeusz Kałużewski, Pawel Szyld, Markus Hengstschläger and 2 more

Abstract read
In one paragraph

Article in Human genomics, 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. Review
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

12 authors.

Tamara LöwensternInstitute of Medical Genetics, Medical University of Vienna, Vienna, Austria. tamara.loewenstern@meduniwien.ac.at.ORCID https://orcid.org/0009-0006-9196-2097
Silvia MadritschInstitute of Medical Genetics, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-4995-7351
David HornerInstitute of Medical Genetics, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-3561-653X
Nadja BraitInstitute of Medical Genetics, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-9289-3453
Naz Güleray LafciInstitute of Medical Genetics, Medical University of Vienna, Vienna, Austria.
Anna SchachnerInstitute of Medical Genetics, Medical University of Vienna, Vienna, Austria.
Maria Gerykova BujalkovaInstitute of Medical Genetics, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0001-6840-1802
Tadeusz KałużewskiDepartment of Genetics, Polish Mother's Memorial Hospital Research Institute, 93-338, Lodz, Poland.
Pawel SzyldSpecjalistyczna Poradnia Genetyczna, Kalisz, Poland.
Markus HengstschlägerInstitute of Medical Genetics, Medical University of Vienna, Vienna, Austria.
Paul DremsekInstitute of Medical Genetics, Medical University of Vienna, Vienna, Austria.
Franco LacconeInstitute of Medical Genetics, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationFacioscapulohumeral Muscular Dystrophy (FSHD) is an autosomal dominant form of muscular dystrophy caused by genetic or epigenetic changes within the D4Z4-repeat at the DUX4-gene, on chromosome 4q. Genetic analysis is challenging due to a nearly identical region on chromosome 10, multiple haplotypes, long and short repeat subtypes, and complex rearrangements such as translocations and duplications. So far, no single method detects all known causes of FSHD.

resultsWe have developed an integrated approach combining an optimized wet-lab protocol with an automated bioinformatics workflow, called DUCKS4. It enables read-level resolution of the D4Z4 array for FSHD1 repeat sizing, variant detection for FSHD2, and detection of methylation patterns. Using NCBI BLAST, it assigns reads to chromosomes and haplotypes, supporting robust filtering and analysis. Our approach also includes a novel adaptive sampling workflow for human high molecular-weight DNA. With long-read Nanopore sequencing technology, our tool enables precise determination of D4Z4 array size, individual haplotype assignment, methylation profiling, and complex allele analysis. It also allows for the detection of mosaicism and structural variation like interchromosomal translocations, providing a comprehensive, single-method solution for FSHD analysis. AVAILABILITY AND IMPLEMENTATION: DUCKS4 is implemented within a Docker environment. Source code and supplementary materials are accessible at https://github.com/tamara-nano/ducks4 , https://github.com/tamara-nano/ducks4_wovar (light version without variant calling) and archived at https://figshare.com/projects/DUCKS4-FSHD/260306

Indexed as

Muscular Dystrophy, FacioscapulohumeralNanopore SequencingSoftwareChromosomes, Human, Pair 4Computational BiologyDNA MethylationHaplotypesHomeodomain ProteinsHumansWorkflowDUX4L1 protein, humanHomeodomain ProteinsAdaptive-samplingDUX4FSHDLong-read sequencingMacrorepeatNanopore sequencing

Identifiers

PMID41652446
PMCPMC12977661

What OpenQuestion holds

Textmetadata
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.