Evidence map›Paper›PMID 31066130›Full record

ArticleHuman mutation2019

A functional assay to classify ZBTB24 missense variants of unknown significance.

Haoyu Wu, Kelly K D Vonk, Silvère M van der Maarel, Gijs W E Santen, Lucia Daxinger

Abstract read
In one paragraph

Article in Human mutation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  4. Review
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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

5 authors.

Haoyu WuDepartment of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands.ORCID 0000-0002-8995-3486
Kelly K D VonkDepartment of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands.
Silvère M van der MaarelDepartment of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands.
Gijs W E SantenDepartment of Clinical Genetics, Leiden University Medical Centre, Leiden, The Netherlands.
Lucia DaxingerDepartment of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands.ORCID 0000-0001-6557-6201

Funding

Leids Universitair Medisch Centrum LUMC FellowshipLUMCNederlandse Organisatie voor Wetenschappelijk Onderzoek ZonMw-VIDI 91718350Netherlands Organization for Scientific Research
6 · The paper itself

Abstract

Increasing use of next-generation sequencing technologies in clinical diagnostics allows large-scale discovery of genetic variants, but also results in frequent identification of variants of unknown significance (VUSs). Their classification into disease-causing and neutral variants is often hampered by the absence of robust functional tests. Here, we demonstrate that a luciferase reporter assay, in combination with ChIP-qPCR, reliably separates pathogenic ZBTB24 missense variants in the context of immunodeficiency, centromeric instability, facial anomalies (ICF) syndrome from natural variants in healthy individuals and patients of other diseases. Application of our assay to two published ZBTB24 missense VUSs indicates that they are likely not to cause ICF2 syndrome. Furthermore, we show that rare gnomAD ZBTB24 missense variants in key residues of the C2H2-ZF domain lead to a loss of function phenotype that resembles ICF2, suggesting that these individuals are carriers of ICF syndrome. In summary, we have developed a robust functional test to validate missense variants in ZBTB24.

Indexed as

Mutation, MissenseAnimalsCells, CulturedChromatin Immunoprecipitation SequencingFaceGenetic Predisposition to DiseaseHumansLuciferasesMiceModels, BiologicalMouse Embryonic Stem CellsPhenotypePrimary Immunodeficiency DiseasesProtein DomainsRepressor ProteinsLuciferasesRepressor ProteinsZBTB24 protein, humanCAKUTICF syndromeVUSZBTB24

Identifiers

PMID31066130
PMCPMC6771626

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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.