Evidence map›Paper›PMID 39012485›Full record

ArticleHuman genetics2024

Automatized detection of uniparental disomies in a large cohort.

Johanna Moch, Maximilian Radtke, Thomas Liehr, Thomas Eggermann, Christian Gilissen, Rolph Pfundt, Galuh Astuti, Julia Hentschel, Isabell Schumann

Abstract read
In one paragraph

Article in Human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. UPDhmm: detecting uniparental disomy from NGS trio data.Bioinformatics (Oxford, England) · 2026
    Article
  3. Article
  4. Article
  5. 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

9 authors.

Johanna MochInstitute of Human Genetics, Leipzig University, Leipzig, Germany.
Maximilian RadtkeInstitute of Human Genetics, Leipzig University, Leipzig, Germany.
Thomas LiehrInstitute of Human Genetics, Jena University, Jena, Germany.
Thomas EggermannInstitute of Human Genetics and Genomic Medicine, Aachen University, Aachen, Germany.
Christian GilissenDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.
Rolph PfundtDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.
Galuh AstutiDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.
Julia HentschelInstitute of Human Genetics, Leipzig University, Leipzig, Germany.
Isabell SchumannInstitute of Human Genetics, Leipzig University, Leipzig, Germany. isabell.schumann@medizin.uni-leipzig.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uniparental disomy (UPD) is the inheritance of both homologues of a chromosome from only one parent. The detection of UPDs in sequencing data is not well established and a common gap in genetic diagnostics. We applied our in-house UPD detection pipeline to evaluate a cohort of 9212 samples, including multigene panels as well as exome sequencing data in a single, duo or trio constellation. We used the results to inform the design of our publicly available web app altAFplotter. UPDs categorized as heterodisomy, whole chromosome or segmental isodisomy were identified and validated with microsatellites, multiplex ligation-dependent probe amplification as well as Sanger sequencing. We detected 14 previously undiagnosed UPDs including nine isodisomies, four segmental isodisomies as well as one heterodisomy on chromosome 22. We characterized eight findings as potentially causative through homozygous pathogenic variants or imprinting disorders. Overall, our study demonstrates the utility of our UPD detection pipeline with our web app, altAFplotter, to reliably identify UPDs. This not only increases the diagnostic yield of cases with growth and metabolic disturbances, as well as developmental delay, but also enhances the understanding of UPDs that may be relevant for recurrence risks and genetic counseling.

Indexed as

Uniparental DisomyCohort StudiesExome SequencingFemaleHumansMaleMicrosatellite RepeatsAltAFplotterHeterodisomyInheritance ratioNGSRegions of homozygosityROHUniparental disomyWeb app

Identifiers

PMID39012485
PMCPMC11303498

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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.