Evidence map›Paper›PMID 35727845›Full record

ArticlePLoS genetics2022

Missense variants causing Wiedemann-Steiner syndrome preferentially occur in the KMT2A-CXXC domain and are accurately classified using AlphaFold2.

Tinna Reynisdottir, Kimberley Jade Anderson, Leandros Boukas, Hans Tomas Bjornsson

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

14 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Revisiting Wiedemann-Steiner Syndrome: NovelBalkan medical journal · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Venous thromboembolic disease genetics: from variants to function.Journal of thrombosis and haemostasis : JTH · 2024
    Review
  10. Article
  11. Review
  12. AlphaFold2 and its applications in the fields of biology and medicine.Signal transduction and targeted therapy · 2023
    Review
  13. Review
  14. 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

4 authors at 2 institutions in 2 countries.

Tinna ReynisdottirLaboratory of Translational Medicine, Faculty of Medicine, University of Iceland, Reykjavik, Iceland.ORCID 0000-0001-5148-4744
Kimberley Jade AndersonLaboratory of Translational Medicine, Faculty of Medicine, University of Iceland, Reykjavik, Iceland.ORCID 0000-0003-0629-6343
Leandros BoukasMcKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Hans Tomas BjornssonLaboratory of Translational Medicine, Faculty of Medicine, University of Iceland, Reykjavik, Iceland.ORCID 0000-0001-6635-6753
Johns Hopkins University · USUniversity of Iceland · IS

Funding

Analysis of genomics datasets at a massive scaleR01GM121459 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HANSEN, KASPER DANIEL · 2017 to 2021
$2.3M
NIGMS NIH HHS R01 GM121459
6 · The paper itself

Abstract

Wiedemann-Steiner syndrome (WDSTS) is a neurodevelopmental disorder caused by de novo variants in KMT2A, which encodes a multi-domain histone methyltransferase. To gain insight into the currently unknown pathogenesis of WDSTS, we examined the spatial distribution of likely WDSTS-causing variants across the 15 different domains of KMT2A. Compared to variants in healthy controls, WDSTS variants exhibit a 61.9-fold overrepresentation within the CXXC domain-which mediates binding to unmethylated CpGs-suggesting a major role for this domain in mediating the phenotype. In contrast, we find no significant overrepresentation within the catalytic SET domain. Corroborating these results, we find that hippocampal neurons from Kmt2a-deficient mice demonstrate disrupted histone methylation (H3K4me1 and H3K4me3) preferentially at CpG-rich regions, but this has no systematic impact on gene expression. Motivated by these results, we combine accurate prediction of the CXXC domain structure by AlphaFold2 with prior biological knowledge to develop a classification scheme for missense variants in the CXXC domain. Our classifier achieved 92.6% positive and 92.9% negative predictive value on a hold-out test set. This classification performance enabled us to subsequently perform an in silico saturation mutagenesis and classify a total of 445 variants according to their functional effects. Our results yield a novel insight into the mechanistic basis of WDSTS and provide an example of how AlphaFold2 can contribute to the in silico characterization of variant effects with very high accuracy, suggesting a paradigm potentially applicable to many other Mendelian disorders.

Indexed as

Abnormalities, MultipleGrowth DisordersHistone-Lysine N-MethyltransferaseHypertrichosisIntellectual DisabilityMyeloid-Lymphoid Leukemia ProteinAnimalsCraniofacial AbnormalitiesMiceMutation, MissenseProtein DomainsProtein FoldingSyndromeHistone-Lysine N-MethyltransferaseKmt2a protein, mouseMyeloid-Lymphoid Leukemia Protein

Identifiers

PMID35727845
PMCPMC9249231
OpenAlexW4283269607

What OpenQuestion holds

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LicenceCC BY
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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.