Evidence map›Paper›PMID 32172383›Full record

ReviewCurrent hypertension reports2020

Exploring the Molecular Aetiology of Preeclampsia by Massive Parallel Sequencing of DNA.

Paul Laissue, Daniel Vaiman

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Current hypertension reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Role of Immune Cells in Mediating the Effect of Lipids on Preeclampsia.Reproductive sciences (Thousand Oaks, Calif.) · 2025
    Article
  2. Article
  3. Article
  4. 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

2 authors at 1 institution in 1 country.

Paul LaissueBiopas Laboratoires, Biopas Group, Bogotá, Colombia. paullaissue@yahoo.com.
Daniel VaimanInserm U1016, CNRS UMR8104, Institut Cochin, équipe FGTB, 24, rue du faubourg Saint-Jacques, 75014, Paris, France.
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis manuscript aims to review (for the first time) studies describing NGS sequencing of preeclampsia (PE) women's DNA. RECENT

findingsDescribing markers for the early detection of PE is an essential task because, although associated molecular dysfunction begins early on during pregnancy, the disease's clinical signs usually appear late in pregnancy. Although several biochemical biomarkers have been proposed, their use in clinical environments is still limited, thereby encouraging research into PE's genetic origin. Hundreds of genes involved in numerous implantation- and placentation-related biological processes may be coherent candidates for PE aetiology. Next-generation sequencing (NGS) offers new technical possibilities for PE studying, as it enables large genomic regions to be analysed at affordable cost. This technique has facilitated the description of genes contributing to the molecular origin of a significant amount of monogenic and complex diseases. Regarding PE, NGS of DNA has been used in familial and isolated cases, thereby enabling new genes potentially related to the phenotype to be proposed. For a better understanding of NGS, technical aspects, applications and limitations are presented initially. Thereafter, NGS studies of DNA in familial and non-familial cases are described, including pitfalls and positive findings. The information given here should enable scientists and clinicians to analyse and design new studies permitting the identification of novel clinically useful molecular PE markers.

Indexed as

High-Throughput Nucleotide SequencingHypertensionPre-EclampsiaDNAFemaleHumansPhenotypePregnancyDNAGenetic biomarkerMolecular medicineNext-generation sequencing (NGS)Preeclampsia

Identifiers

PMID32172383
OpenAlexW3011773954

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.