Evidence map›Paper›PMID 32147747›Full record

ReviewActa dermato-venereologica2020

Genetics of Inherited Ichthyoses and Related Diseases.

Judith Fischer, Emmanuelle Bourrat

Abstract readReview
In one paragraph

Review in Acta dermato-venereologica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Novel Compound Heterozygous Variants inJournal of clinical medicine · 2026
    Article
  3. Article
  4. Identification of Pathogenic Variants inInternational journal of molecular sciences · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Qualitative testing of the EQ-HWB-9 with a 'blank' EQ-HWB VAS and EQ-5D-5L with skin bolt-ons in a rare genetic skin disease population.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. A cellular disease model toward gene therapy ofMolecular therapy. Methods & clinical development · 2024
    Article
  18. Review
  19. 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

2 authors.

Judith FischerInstitute of Human Genetics, Medical Center, Faculty of Medicine, University of Freiburg, DE-79106 Freiburg, Germany. judith.fischer@uniklinik-freiburg.de.
Emmanuelle Bourrat

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inherited ichthyoses are classified as Mendelian disorders of cornification (MEDOC), which are defined on the basis of clinical and genetic features and are mainly divided into non-syndromic and syndromic ichthyoses. Numerous genes, which encode for corresponding proteins, are involved in the normal differentiation of keratinocytes (cornification) and participate in the formation of a functional epidermal barrier. To date, mutations in more than 50 genes are known to result in various types of ichthyoses. Thanks to modern genetic diagnostic methods based on targeted next generation sequencing (NGS), approximately 80-90% of cases can be resolved at present. Further sequencing methods covering the whole exome (WES) or whole genome (WGS) will obviously elucidate another portion of the remaining unknown ichthyoses in the future.

Indexed as

AlopeciaChondrodysplasia PunctataCongenital Disorders of GlycosylationHumansIchthyosisIchthyosis VulgarisIchthyosis, X-LinkedMutationPhotophobiaSkin Diseases, GeneticSkin Physiological PhenomenaARCIgenesichthyosesMendelian disorders of cornificationmolecular genetic diagnosticsmutations

Identifiers

PMID32147747
PMCPMC9128940

What OpenQuestion holds

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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.