Evidence map›Paper›PMID 27490343›Full record

Trial reportPloS one2016

Microarray-Based Analysis of Methylation of 1st Trimester Trisomic Placentas from Down Syndrome, Edwards Syndrome and Patau Syndrome.

Lotte Hatt, Mads M Aagaard, Cathrine Bach, Jesper Graakjaer, Steffen Sommer, Inge E Agerholm, Steen Kølvraa, Anders Bojesen

Open access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Global impacts of chromosomal imbalance on gene expression inProceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  8. Article
  9. Maternal 5Frontiers in genetics · 2018
    Article
  10. Review
  11. 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

8 authors at 3 institutions in 1 country.

Lotte HattDepartment of Clinical Genetics, Vejle Hospital, Kabbeltoft 25, 7100 Vejle, Denmark.
Mads M AagaardDepartment of Clinical Genetics, Vejle Hospital, Kabbeltoft 25, 7100 Vejle, Denmark.
Cathrine BachDepartment of Gynecology and Obstetrics, Horsens Hospital, 8700 Horsens, Denmark.
Jesper GraakjaerDepartment of Clinical Genetics, Vejle Hospital, Kabbeltoft 25, 7100 Vejle, Denmark.
Steffen SommerDepartment of Gynecology and Obstetrics, Horsens Hospital, 8700 Horsens, Denmark.
Inge E AgerholmDepartment of Gynecology and Obstetrics, Horsens Hospital, 8700 Horsens, Denmark.
Steen KølvraaDepartment of Clinical Genetics, Vejle Hospital, Kabbeltoft 25, 7100 Vejle, Denmark.
Anders BojesenDepartment of Clinical Genetics, Vejle Hospital, Kabbeltoft 25, 7100 Vejle, Denmark.
Regional Hospital Horsens · DKVejle Sygehus · DKUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methylation-based non-invasive prenatal testing of fetal aneuploidies is an alternative method that could possibly improve fetal aneuploidy diagnosis, especially for trisomy 13(T13) and trisomy 18(T18). Our aim was to study the methylation landscape in placenta DNA from trisomy 13, 18 and 21 pregnancies in an attempt to find trisomy-specific methylation differences better suited for non-invasive prenatal diagnosis. We have conducted high-resolution methylation specific bead chip microarray analyses assessing more than 450,000 CpGs analyzing placentas from 12 T21 pregnancies, 12 T18 pregnancies and 6 T13 pregnancies. We have compared the methylation landscape of the trisomic placentas to the methylation landscape from normal placental DNA and to maternal blood cell DNA. Comparing trisomic placentas to normal placentas we identified 217 and 219 differentially methylated CpGs for CVS T18 and CVS T13, respectively (delta β>0.2, FDR<0.05), but only three differentially methylated CpGs for T21. However, the methylation differences was only modest (delta β<0.4), making them less suitable as diagnostic markers. Gene ontology enrichment analysis revealed that the gene set connected to theT18 differentially methylated CpGs was highly enriched for GO terms related to"DNA binding" and "transcription factor binding" coupled to the RNA polymerase II transcription. In the gene set connected to the T13 differentially methylated CpGs we found no significant enrichments.

Indexed as

DNA MethylationChromosome DisordersChromosomes, Human, Pair 13Chromosomes, Human, Pair 18CpG IslandsDown SyndromeFemaleHumansMicroarray AnalysisPregnancyPregnancy ComplicationsPregnancy Trimester, FirstTrisomyTrisomy 13 SyndromeTrisomy 18 Syndrome

Identifiers

PMID27490343
PMCPMC4973974
OpenAlexW2492900968

What OpenQuestion holds

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LicenceCC BY
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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.