Evidence map›Paper›PMID 30459467›Full record

ArticleJournal of human genetics2019

A comparative analysis of KMT2D missense variants in Kabuki syndrome, cancers and the general population.

Víctor Faundes, Geraldine Malone, William G Newman, Siddharth Banka

Open access · greenAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of human genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
  2. Article
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  5. Genomic analysis of 11,555 probands identifies 60 dominant congenital heart disease genes.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  9. Article
  10. Review
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  12. Review
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  15. Review
  16. Neuroimaging in Kabuki syndrome and another KMT2D-related disorder.American journal of medical genetics. Part A · 2021
    Article
  17. Review
  18. Article
  19. Phenotypic expansion of KMT2D-related disorder: Beyond Kabuki syndrome.American journal of medical genetics. Part A · 2020
    Article
  20. 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.

Víctor FaundesDivision of Evolution & Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9WL, UK.
Geraldine MaloneManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK.
William G NewmanDivision of Evolution & Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9WL, UK.ORCID http://orcid.org/0000-0002-6382-4678
Siddharth BankaDivision of Evolution & Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9WL, UK. siddharth.banka@manchester.ac.uk.ORCID http://orcid.org/0000-0002-8527-2210
University of Manchester · GBSt Mary's Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining the clinical significance of germline and somatic KMT2D missense variants (MVs) in Kabuki syndrome (KS) and cancers can be challenging. We analysed 1920 distinct KMT2D MVs that included 1535 germline MVs in controls (Control-MVs), 584 somatic MVs in cancers (Cancer-MVs) and 201 MV in individuals with KS (KS-MVs). The proportion of MVs likely to affect splicing was significantly higher for Cancer-MVs and KS-MVs than in Control-MVs (p = 0.000018). Our analysis identified significant clustering of Cancer-MVs and KS-MVs in the PHD#3 and #4, RING#4 and SET domains. Areas of enrichment restricted to just Cancer-MVs (FYR-C and between amino acids 3043-3248) or KS-MVs (coiled-coil#5, FYR-N and between amino acids 4995-5090) were also found. Cancer-MVs and KS-MVs tended to affect more conserved residues (lower BLOSUM scores, p < 0.001 and p = 0.007). KS-MVs are more likely to increase the energy for protein folding (higher ELASPIC ∆∆G scores, p = 0.03). Cancer-MVs are more likely to disrupt protein interactions (higher StructMAn scores, p = 0.019). We reclassify several presumed pathogenic MVs as benign or as variants of uncertain significance. We raise the possibility of as yet unrecognised 'non-KS' phenotype(s) associated with some germline pathogenic KMT2D MVs. Overall, this work provides insights into the disease mechanism of KMT2D variants and can be extended to other genes, mutations in which also cause developmental syndromes and cancer.

Indexed as

Genetics, PopulationAbnormalities, MultipleCase-Control StudiesDNA-Binding ProteinsFaceHematologic DiseasesHumansMutation, MissenseNeoplasm ProteinsNeoplasmsPhenotypePrognosisVestibular DiseasesDNA-Binding ProteinsKMT2D protein, humanNeoplasm Proteins

Identifiers

PMID30459467
OpenAlexW2901316923

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.