Evidence map›Paper›PMID 31819021›Full record

ArticleJournal of genetics2019

Hypermethylation of

Artur Dobosz, Agnieszka Grabowska, Miroslaw Bik-Multanowski

Open access · greenAbstract read
PubMed
In one paragraph

Article in Journal of genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Mending a broken heart:Disease models & mechanisms · 2021
    Review
  8. 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

3 authors at 1 institution in 1 country.

Artur DoboszDepartment of Medical Genetics, Faculty of Medicine, Jagiellonian University Medical College, ul. Wielicka 265, 30-663 Krakow, Poland. miroslaw.bik-multanowski@uj.edu.pl.
Agnieszka Grabowska
Miroslaw Bik-Multanowski
Jagiellonian University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital heart defects can decrease the quality of life and life expectancy in affected individuals, and constitute a major burden for the health care systems. Endocardial cushion defects are among the most prevalent heart malformations in the general population, and are extremely frequent (approximately a 100-fold higher prevalence) in children with Down syndrome. Several genes have been proposed to be involved in the pathogenesis of these malformations, but no common pathogenic DNA variants have been identified so far. Here, we focussed on constitutive, epigenetic alterations of function of selected genes, potentially important for endocardial cushion development. We used two types of microarrays, dedicated for assessment of gene promoter methylation and whole genome expression. First, we compared the gene promoter methylation profiles between two groups of Down syndrome patients, with and without heart defects of endocardial cushion-type. Then, to determine the functional role of the detected methylation alterations, we assessed the expression of the genes of interest. We detected significant hypermethylation of the

Indexed as

DNA MethylationAdolescentChildDown SyndromeEndocardial CushionsEpigenomicsErbB ReceptorsFemaleGene Expression RegulationGenetic Predisposition to DiseaseHeart Defects, CongenitalHumansMaleNeuregulin-1NeuregulinsPilot ProjectsEGFR protein, humanERBB3 protein, humanErbB ReceptorsNeuregulin-1NeuregulinsNRG1 protein, humanReceptor, ErbB-3SHC3 protein, humanSHC4 protein, humanShc Signaling Adaptor ProteinsSrc Homology 2 Domain-Containing, Transforming Protein 3

Identifiers

PMID31819021
OpenAlexW2990461371

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.