Evidence map›Paper›PMID 37365401›Full record

ArticleEuropean journal of human genetics : EJHG2023

Episignature analysis of moderate effects and mosaics.

Konrad Oexle, Michael Zech, Lara G Stühn, Sandy Siegert, Theresa Brunet, Wolfgang M Schmidt, Matias Wagner, Axel Schmidt, Hartmut Engels, Erik Tilch and 13 more

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Long-Read Sequencing: The Third Generation of Diagnostic Testing for Dystonia.Movement disorders : official journal of the Movement Disorder Society · 2025
    Review
  6. Article
  7. Article
  8. Expanding Upon Genomics in Rare Diseases: Epigenomic Insights.International journal of molecular sciences · 2024
    Review
  9. Article
  10. Article
  11. Review
  12. 2023 in the European Journal of Human Genetics.European journal of human genetics : EJHG · 2024
    Article
  13. Article
  14. Article
  15. Why don't we all use genomic testing?European journal of human genetics : EJHG · 2023
    Article
  16. Frontiers in neurology
    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

23 authors.

Konrad OexleNeurogenetic Systems Analysis Group, Institute of Neurogenomics, Helmholtz Munich, 85764, Neuherberg, Germany. konrad.oexle@helmholtz-muenchen.de.ORCID 0000-0001-7447-2252
Michael ZechInstitute of Neurogenomics,Helmholtz Munich, 85764, Neuherberg, Germany.
Lara G StühnInstitute of Medical Genetics and Applied Genomics, University of Tuebingen, 72076, Tübingen, Germany.
Sandy SiegertDepartment of Pediatric and Adolescent Medicine, Medical University of Vienna, 1090, Wien, Austria.
Theresa BrunetInstitute of Human Genetics, Technical University of Munich, School of Medicine, 81675, Munich, Germany.
Wolfgang M SchmidtNeuromuscular Research Department, Center for Anatomy and Cell Biology, Medical University of Vienna, 1090, Vienna, Austria.ORCID 0000-0002-6944-2443
Matias WagnerInstitute of Human Genetics, Technical University of Munich, School of Medicine, 81675, Munich, Germany.ORCID 0000-0002-4454-8823
Axel SchmidtInstitute of Human Genetics, School of Medicine, University Hospital Bonn, 53127, Bonn, Germany.
Hartmut EngelsInstitute of Human Genetics, School of Medicine, University Hospital Bonn, 53127, Bonn, Germany.ORCID 0000-0003-1007-1809
Erik TilchNeurogenetic Systems Analysis Group, Institute of Neurogenomics, Helmholtz Munich, 85764, Neuherberg, Germany.
Olivier MonestierCentre de Génétique Humaine, Institut de Pathologie et de Génétique ASBL, 6041, Gosselies, Belgium.ORCID 0000-0002-3236-0807
Anne DestrėeCentre de Génétique Humaine, Institut de Pathologie et de Génétique ASBL, 6041, Gosselies, Belgium.ORCID 0000-0001-9701-5396
Britta HankerInstitute of Human Genetics, Universitätsklinikum Schleswig-Holstein, 23538, Lübeck, Germany.
Sylvia BoeschDepartment of Neurology, Medizinische Universität, 6020, Insbruck, Austria.
Robert JechDepartment of Neurology, Charles University, 1st Faculty of Medicine and General University Hospital in Prague, 12108, Prague, Czech Republic.
Riccardo BeruttiInstitute of Neurogenomics,Helmholtz Munich, 85764, Neuherberg, Germany.ORCID 0000-0003-1862-3700
Frank KaiserInstitute of Human Genetics, Universitätsklinikum Essen, 45122, Essen, Germany.
Bernhard HaslingerDepartment of Neurology, Technical University of Munich, School of Medicine, 81675, Munich, Germany.
Tobias B HaackInstitute of Medical Genetics and Applied Genomics, University of Tuebingen, 72076, Tübingen, Germany.
Barbara GaravagliaFondazione IRCCS, Istituto Neurologico Carlo Besta, 20133, Milano, Italy.
Peter KrawitzInstitute for Genomic Statistics and Bioinformatics, Universität Bonn, 53127, Bonn, Germany.
Juliane Winkelmann *Institute of Neurogenomics,Helmholtz Munich, 85764, Neuherberg, Germany.
Nazanin Mirza-Schreiber *Neurogenetic Systems Analysis Group, Institute of Neurogenomics, Helmholtz Munich, 85764, Neuherberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation classifiers ("episignatures") help to determine the pathogenicity of variants of uncertain significance (VUS). However, their sensitivity is limited due to their training on unambiguous cases with strong-effect variants so that the classification of variants with reduced effect size or in mosaic state may fail. Moreover, episignature evaluation of mosaics as a function of their degree of mosaicism has not been developed so far. We improved episignatures with respect to three categories. Applying (i) minimum-redundancy-maximum-relevance feature selection we reduced their length by up to one order of magnitude without loss of accuracy. Performing (ii) repeated re-training of a support vector machine classifier by step-wise inclusion of cases in the training set that reached probability scores larger than 0.5, we increased the sensitivity of the episignature-classifiers by 30%. In the newly diagnosed patients we confirmed the association between DNA methylation aberration and age at onset of KMT2B-deficient dystonia. Moreover, we found evidence for allelic series, including KMT2B-variants with moderate effects and comparatively mild phenotypes such as late-onset focal dystonia. Retrained classifiers also can detect mosaics that previously remained below the 0.5-threshold, as we showed for KMT2D-associated Kabuki syndrome. Conversely, episignature-classifiers are able to revoke erroneous exome calls of mosaicism, as we demonstrated by (iii) comparing presumed mosaic cases with a distribution of artificial in silico-mosaics that represented all the possible variation in degree of mosaicism, variant read sampling and methylation analysis.

Indexed as

Abnormalities, MultipleDNA MethylationAllelesHumansMosaicismPhenotype

Identifiers

PMID37365401
PMCPMC10474287

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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.