Evidence map›Paper›PMID 36142674›Full record

ReviewInternational journal of molecular sciences2022

Towards a Better Understanding of Genotype-Phenotype Correlations and Therapeutic Targets for Cardiocutaneous Genes: The Importance of Functional Studies above Prediction.

Mathilde C S C Vermeer, Daniela Andrei, Luisa Marsili, J Peter van Tintelen, Herman H W Silljé, Maarten P van den Berg, Peter van der Meer, Maria C Bolling

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

8 authors at 2 institutions in 2 countries.

Mathilde C S C VermeerDepartment of Cardiology, University Medical Center Groningen, University of Groningen, 9713 AV Groningen, The Netherlands.
Daniela AndreiDepartment of Dermatology, University Medical Center Groningen, University of Groningen, 9713 AV Groningen, The Netherlands.ORCID 0000-0003-4211-2783
Luisa MarsiliClinique de Génétique, Hôpital Jeanne de Flandre, CHU de Lille, 59000 Lille, France.
J Peter van TintelenDepartment of Genetics, University Medical Center Utrecht, Utrecht University, 3508 AB Utrecht, The Netherlands.
Herman H W SilljéDepartment of Cardiology, University Medical Center Groningen, University of Groningen, 9713 AV Groningen, The Netherlands.ORCID 0000-0003-3292-6302
Maarten P van den BergDepartment of Cardiology, University Medical Center Groningen, University of Groningen, 9713 AV Groningen, The Netherlands.ORCID 0000-0002-1493-2998
Peter van der MeerDepartment of Cardiology, University Medical Center Groningen, University of Groningen, 9713 AV Groningen, The Netherlands.
Maria C BollingDepartment of Dermatology, University Medical Center Groningen, University of Groningen, 9713 AV Groningen, The Netherlands.ORCID 0000-0003-2086-9363
University Medical Center Groningen · NLUtrecht University · NL

Funding

European Research Counsel 715732, ERC-2016-STGInternational Human Frontier Science Program Organization RGY 0071/2014Vlinderkind non, due to patient organisation
6 · The paper itself

Abstract

Genetic variants in gene-encoding proteins involved in cell−cell connecting structures, such as desmosomes and gap junctions, may cause a skin and/or cardiac phenotype, of which the combination is called cardiocutaneous syndrome. The cardiac phenotype is characterized by cardiomyopathy and/or arrhythmias, while the skin particularly displays phenotypes such as keratoderma, hair abnormalities and skin fragility. The reported variants associated with cardiocutaneous syndrome, in genes DSP, JUP, DSC2, KLHL24, GJA1, are classified by interpretation guidelines from the American College of Medical Genetics and Genomics. The genotype−phenotype correlation, however, remains poorly understood. By providing an overview of variants that are assessed for a functional protein pathology, we show that this number (n = 115) is low compared to the number of variants that are assessed by in silico algorithms (>5000). As expected, there is a mismatch between the prediction of variant pathogenicity and the prediction of the functional effect compared to the real functional evidence. Aiding to improve genotype−phenotype correlations, we separate variants into ‘protein reducing’ or ‘altered protein’ variants and provide general conclusions about the skin and heart phenotype involved. We conclude by stipulating that adequate prognoses can only be given, and targeted therapies can only be designed, upon full knowledge of the protein pathology through functional investigation.

Indexed as

CardiomyopathiesSkin AbnormalitiesGenetic Association StudiesHumansMutationPhenotypecardiocutaneous syndromesfunctional analysis of genetic variantsgenotype–phenotype correlation

Identifiers

PMID36142674
PMCPMC9503274
OpenAlexW4296283780

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.