Evidence map›Paper›PMID 22258528›Full record

ArticleEuropean journal of human genetics : EJHG2012

Discovery of variants unmasked by hemizygous deletions.

Ron Hochstenbach, Martin Poot, Isaac J Nijman, Ivo Renkens, Karen J Duran, Ruben Van't Slot, Ellen van Binsbergen, Bert van der Zwaag, Maartje J Vogel, Paulien A Terhal and 3 more

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Article in European journal of human genetics : EJHG, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Homozygous Intragenic Deletion inMolecular syndromology · 2025
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  6. Article
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  13. Review
  14. Article
  15. Late breaking chromosomes.Molecular syndromology · 2014
    Article
  16. Article
  17. Article
  18. Article
  19. 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

13 authors.

Ron HochstenbachDepartment of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Martin Poot
Isaac J Nijman
Ivo Renkens
Karen J Duran
Ruben Van't Slot
Ellen van Binsbergen
Bert van der Zwaag
Maartje J Vogel
Paulien A Terhal
Hans Kristian Ploos van Amstel
Wigard P Kloosterman
Edwin Cuppen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Array-based genome-wide segmental aneuploidy screening detects both de novo and inherited copy number variations (CNVs). In sporadic patients de novo CNVs are interpreted as potentially pathogenic. However, a deletion, transmitted from a healthy parent, may be pathogenic if it overlaps with a mutated second allele inherited from the other healthy parent. To detect such events, we performed multiplex enrichment and next-generation sequencing of the entire coding sequence of all genes within unique hemizygous deletion regions in 20 patients (1.53 Mb capture footprint). Out of the detected 703 non-synonymous single-nucleotide variants (SNVs), 8 represented variants being unmasked by a hemizygous deletion. Although evaluation of inheritance patterns, Grantham matrix scores, evolutionary conservation and bioinformatic predictions did not consistently indicate pathogenicity of these variants, no definitive conclusions can be drawn without functional validation. However, in one patient with severe mental retardation, lack of speech, microcephaly, cheilognathopalatoschisis and bilateral hearing loss, we discovered a second smaller deletion, inherited from the other healthy parent, resulting in loss of both alleles of the highly conserved heat shock factor binding protein 1 (HSBP1) gene. Conceivably, inherited deletions may unmask rare pathogenic variants that may exert a phenotypic impact through a recessive mode of gene action.

Indexed as

Gene DeletionGene DosageHemizygoteAllelesComputational BiologyDNA Copy Number VariationsDNA Mutational AnalysisGene LibraryGenes, RecessiveGenetic TestingGenome, HumanHeat-Shock ProteinsHumansInheritance PatternsIntellectual DisabilityPhenotypeHeat-Shock ProteinsHSBP1 protein, human

Identifiers

PMID22258528
PMCPMC3376260

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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.