Evidence map›Paper›PMID 32957536›Full record

ReviewGenes2020

Aneuploidy and DNA Methylation as Mirrored Features of Early Human Embryo Development.

Ekaterina N Tolmacheva, Stanislav A Vasilyev, Igor N Lebedev

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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.

Ekaterina N TolmachevaResearch Institute of Medical Genetics, Tomsk National Research Medical Center, 634050 Tomsk, Russia.ORCID 0000-0001-6427-3276
Stanislav A VasilyevResearch Institute of Medical Genetics, Tomsk National Research Medical Center, 634050 Tomsk, Russia.ORCID 0000-0002-5301-070X
Igor N LebedevResearch Institute of Medical Genetics, Tomsk National Research Medical Center, 634050 Tomsk, Russia.ORCID 0000-0002-0482-8046
Tomsk National Research Medical Center · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome stability is an integral feature of all living organisms. Aneuploidy is the most common cause of fetal death in humans. The timing of bursts in increased aneuploidy frequency coincides with the waves of global epigenetic reprogramming in mammals. During gametogenesis and early embryogenesis, parental genomes undergo two waves of DNA methylation reprogramming. Failure of these processes can critically affect genome stability, including chromosome segregation during cell division. Abnormal methylation due to errors in the reprogramming process can potentially lead to aneuploidy. On the other hand, the presence of an entire additional chromosome, or chromosome loss, can affect the global genome methylation level. The associations of these two phenomena are well studied in the context of carcinogenesis, but here, we consider the relationship of DNA methylation and aneuploidy in early human and mammalian ontogenesis. In this review, we link these two phenomena and highlight the critical ontogenesis periods and genome regions that play a significant role in human reproduction and in the formation of pathological phenotypes in newborns with chromosomal aneuploidy.

Indexed as

AneuploidyDNA MethylationEmbryonic DevelopmentEpigenomicsGenomic InstabilityEmbryo, MammalianGenome, HumanHumansaneuploidyDNA methylationepigenetic reprogramminghuman embryogenesis

Identifiers

PMID32957536
PMCPMC7564410
OpenAlexW3084718685

What OpenQuestion 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 OpenQuestion graph.